I changed gears and moved into the video games industry at the end of 2021.
I started developing a city builder called Metropolis 1998 [1], but wanted to take the genre in new directions, building on top of what modern games have to offer:
- Watch what's happening inside buildings and design your own (optional)
- Change demand to a per-business level
- Bring the pixel art 3D render aesthetic back from the dead (e.g RollerCoaster Tycoon) [2]
I just updated my Steam page with some recent snapshots from my game. Im really happy with how the game is turning out!
> Both adults in a family will now own a car. This is required since there are not other transportation options, and sidewalks are optional.
Is this temporary or are you planning to release it like this? SimCity leaned into euclidean zoning (separate industrial/residential/commercial zones) and pocketable cars which needed no parking, and thus failed to properly showcase how ugly car-centric cities actually are. I’m sure they did it because it made for an easy gameplay loop/balancing but I’d hope we could come up with more realistic and interesting mechanics in 2026
I actually would really love that in a city planner. A game that actually simulates walkable cities versus car centric abominations and would adapt families strategies based on the availability of sidewalks, public transports and incentives.
Can you tell more about your background? Making a sim like this also crossed my mind many times, but I learned in the past, that without much of any art skills, I would have to use resources of others or hire someone to make the graphics and so on. In the times of me playing around with RPG maker it was the missing story that was the problem. So it seems often that one core aspect is missing, when wanting to make a game. How did you learn to fill that gap, learn how to get that skilled with making the graphics?
I have been following you on twitter since I saw it. It looks amazing. Recently tried the demo. It is like under 50MB (the demo at least) which is insane these days. Placing building required construction of the building room by room which was tedious. I am sure some people will enjoy that. Will that be the core part of final game?
and you can bind everything to very specific shortcuts like "press and hold cmd, then scroll mouse wheel up"
Targeted towards music producers and AI (there's one collection of snippets that starts an MCP server and exposes some basic functionality) in the beginning.
My wife and I continue to work on Uruky, a EU-based Kagi alternative [1]. Since last month we got deals with a couple more search providers but we’re still waiting for EUSP/STAAN to provide us with an API key (we have progressed through a few more forms and signatures and legal stuff, though).
We’ve continued to get some paid customers and have exited beta last week, given everyone seemed to be quite satisfied and there hadn't been requests for changes, only some specific search providers.
Because of bots there isn’t a free trial easily available, but if you’re a human and you’d like to try it for a couple of days for free, reach out with your account number and we’ll set that up!
Thanks.
P.S.: Because people have asked before, our tech stack is intentionally very "boring" (as in, it generates and serves the HTML + bits of JS to enhance settings and such — search can be done without JS), using Deno in the backend (for easier TypeScript), PostgreSQL for the DB, and Docker for easier deploying.
Building HEBBS — a memory engine for AI agents, written in Rust.
The problem: every agent framework bolts together a vector DB for recall, a KV store for state, maybe a graph DB for relationships, and then hopes the duct tape holds. You get one retrieval path (similarity search), no decay, no consolidation, and the agent forgets everything the moment context gets trimmed.
HEBBS replaces that stack with a single embedded binary (RocksDB underneath, ONNX for local embeddings). Nine operations in three groups: write (remember, revise, forget), read (recall, prime, subscribe), and consolidate (reflect, insights, policy). The interesting part is four recall strategies — similarity, temporal, causal, and analogical — instead of just "nearest vector."
Some technical decisions I'm happy with:
- No network calls on the hot path. Embeddings run locally via ONNX; LLM calls only happen in the background reflect pipeline.
- recall at 2ms p50 / 8ms p99 at 10M memories on a 2 vCPU instance.
- Append-only event model for memories — sync is conflict-free, and forget is itself a logged event (useful for GDPR).
- Lineage tracking: insights link back to source memories, revisions track predecessors.
SDKs for Python, TypeScript, and Rust. CLI with a REPL. gRPC + REST. BSL 1.1 for the engine (converts to Apache 2.0 after four years), Apache 2.0 for all client libs.
There's a reference demo — an AI sales agent that uses HEBBS for multi-session memory, objection handling recall, and background consolidation of conversation patterns.
Still early. The part I'm wrestling with now is tuning the reflect pipeline — figuring out when and how aggressively to consolidate episodic memories into semantic insights without losing useful detail. Curious if anyone working on agent memory has opinions on that tradeoff, or if you've found other approaches that work.
I'm building a microreading service that let's me get long books read with small chunks of time that I have - https://lauselt.ee Currently I've added some public domain Estonian books in there and tbh I do get a lot more reading done during the day. Basically you can use your 1-5 min breaks (waiting for a bus, during the commercials, waiting for food etc) to open the book quickly where you left off and read by scrolling small chunks of texts at a time. Duolingo style streak to create the habit of reading every day.
Also the ability to upload your own book and it will automatically be split into these small chunks.
Also working on a language for embedded bare-metal devices with built-in cooperative multitasking.
A lot of embedded projects introduce an RTOS and then end up inheriting the complexity that comes with it. The idea here is to keep the mental model simple: every `[]` block runs independently and automatically yields after each logical line of code.
There is also an event/messaging system:
- Blocks can be triggered by events: `[>event params ...]`
- Blocks can wait for events internally
- Events can also be injected from interrupts
This makes it easy to model embedded systems as independent state machines while still monitoring device state.
Right now it’s mostly an interpreter written in Rust, but it can also emit C code. I’m still experimenting with syntax.
Example:
module WaterTank {
type Direction = UP|DOWN
let direction = UP
let current = 0
[>open_valve direction |> direction]
[>update level |> current]
[
for 0..30 |> iteration {
when direction {
UP -> !update level=current + 1 |> min(100)
DOWN -> !update level=current - 1 |> max(0)
} ~
%'{iteration} {current}'
}
]
[>update level |> when {
0..10 -> %'shallow'
11..15 -> %'good'
16.. -> %'too much!' then !open_valve direction=DOWN
}
]
}
You said "vibecoded", maybe it triggered someone. I upvoted you as I just learned YouTrack exists, and it has 10-users free plan, I'm going to give it a try,
Well, I just jumped full time on IronCalc[1] a fully open source, light and fast spreadsheet engine designed and build from the ground up.
I have been working on it as side project for over two years and now, with funding from the EU for the next 2.5 years, I hope I can make of it a real product for everyone to use that can compete with the likes of Excel and Googl;e Sheets.
First we got a grant from the NLnet[1], which I highly recommend as a first step of any project. Single best thing I could have done. That wasn't enough money for me to quit my job. Also I didn't have any _evidence_ that IronCalc was a good idea or that there was a market for it. Then evidence started pouring and I kept working. I started talking to different folks, lots of people many of those were contacts through the NLnet. Then the folks from NextGraph[2] approached us and asked, "Hey do you want to be part of this consortium [3]?". Eventually we got a HORIZON grant after a lot of sweat and paperwork, but NextGraph took the brunt of it.
As you see there is a huge component of sheer luck
Since subreddits related to identifying AI images/videos got very popular, my wife started to send me cute AI generated videos, older family members can't distinguish AI videos at all, I've decided to code a weekend side project to train their Spidey sense for AI content.
Tricky! I often also guess wrong. But I noticed it has some bug. Sometimes I can click either option "AI Generated" or "Real" and nothing happens. Even if I click 10 times, still nothing happens. The buttons must have some broken event handling or something.
EDIT: Hm, I switched tab, away to write this comment, now that I switched back, it showed me that I clicked correctly. So it seems, that sometimes it just has huge delay in accepting my choice?
The project got some traction, over 5k requests since I posted this. Probably the DB state needs to be optimized a bit. Thank you for reporting! I really appreciate it
Edit: I don't see slow traces in Sentry. No idea what caused this. Also, voting goes through redis and the dB load is low. Weird. I probably have to add gunicorn workers.
Edit2: Bumped gunicorn workers from 2 to 4. Should be fine now, under the current load. Again, thank you for reporting!
I dunno if/how this could be taught, but I feel like half the battle is critical thinking with an adversarial mindset towards media -- who would make this, why would they want to show me, do I see anything that makes this impossible, is it worth engaging with in the first place, can I fact check this.
Yep, my thoughts exactly. But the consumer rarely thinks critically when looking at ads, not to mention regular social media posts and the Big Corp has no money in proving what assets are AI generated.
I'm trying to gamify the training to make the experience more appealing.
I store a "proof URL" on the backend, but I don't know if it makes sense to serve it to the end user. Also, a Reddit discussion is not necessarily a proof one wants. A fingerprint would be better, but not all images are generated with Google. That's another problem to be solved.
I somewhat like it for what it is, but expected something else based on description. This is just a real/ai guesser that doesn't really train you at all.
Thank you for the kind words. I don't expect it to spread like fire, but I'd appreciate if you could share it with your folks. I don't intend to monetize it, my goal is to have some small daily traffic.
It's SFW and localized to the most popular languages.
An immobiliser for my car. Had trouble finding devices that would cover the specific attack vectors my car would be susceptible to. Checked my insurance, no specific clauses around immobilisers, check relevant road laws, no issues there.
I have a fairly novel approach to operating it, and in the case of one time theft prevention security through obscurity is actually a great approach. The assailant only has a short time to pull the car apart and solve the puzzle, couple that with genuine security techniques, a physical aspect, and it should be pretty foolproof.
It can still be towed away, etc, not much to be done there except brute force physical blocks. Most cars get stolen here to do crime in that night so it's not as common.
Rewriting the backend Bitwise Cloud, my semantic search for embedded systems docs Claude Code plugin from Python to Go.
The problem was the ML dependencies. The backend uses BGE-small-en-v1.5 for embeddings and FAISS for vector search. Both are C++/Python. Using them from Go means CGO, which means a C toolchain in your build, platform-specific binaries, and the end of go get && go build.
So I wrote both from scratch in pure Go.
goformer (https://www.mikeayles.com/blog/goformer/) loads HuggingFace safetensors directly and runs BERT inference. No ONNX export step, no Python in the build pipeline. It produces embeddings that match the Python reference to cosine similarity > 0.9999. It's 10-50x slower than ONNX Runtime, but for my workload (embed one short query at search time, batch ingest at deploy time) 154ms per embedding is noise.
goformersearch (https://www.mikeayles.com/blog/goformersearch/) is the vector index. Brute-force and HNSW, same interface, swap with one line. I couldn't justify pulling in FAISS for the index sizes I'm dealing with (10k-50k vectors), and the pure Go HNSW searches in under 0.5ms at 50k vectors. Had to settle for HNSW over FAISS's IVF-PQ, but at this scale the recall tradeoff is fine.
The interesting bit was finding the crossover point where HNSW beats brute-force. At 384 dimensions it's around 2,400 vectors. Below that, just scan everything, the graph overhead isn't worth it. I wrote it up with benchmarks against FAISS for reference.
Together they're a zero-dependency semantic search stack. go get both libraries, download a model from HuggingFace, and you have embedding generation + vector search in a single static binary. No Python, no Docker, no CGO.
Is it better than ONNX/FAISS? Heck no. I just did it because I wanted to try out Go.
JetSet AI (https://bit.ly/4besn7l) — flight search in plain English instead of the usual date-picker maze.
Type "cheapest flight from London to Tokyo, flexible on dates in April" and it returns live results with real pricing. I compared a few against Google Flights and they matched. Not mocked data.
The part I found interesting: it runs on a dedicated VM so it keeps context across the conversation. If you say "actually make that business class" or "what about flying into Osaka instead" it knows what you were looking at. Most chat-based search tools lose that between messages.
I didn't build it from scratch — it's a pre-built app in the SuperNinja App Store that I deployed and have been extending. The deploy itself took about 60 seconds. The extending part is what I've been spending time on: describing changes in plain text and watching them go live without touching a repo.
Still figuring out what the right UX is for flexible-date search. Curious if anyone has opinions on that.
I'm using TimescaleDB to manage 450GB of stocks and options data from Massive (what used to be polygon.io), and I've been getting LLM agents to iterate over academic research to see if anything works to improve trading with backtesting.
It's an addictive slot machine where I pull the lever and the dials spin as I hope for the sound of a jackpot. 999 out of 1000 winning models do so because of look-ahead bias, which makes them look great but are actually bad models. For example, one didn't convert the time zone from UTC to EST, so five hours of future knowledge got baked into the model. Another used `SELECT DISTINCT`, which chose a value at random during a 0–5 hour window — meaning 0–5 hours of future knowledge got baked in. That one was somehow related to Timescale hypertables.
Now I'm applying the VIX formula to TSLA options trades to see if I can take research papers about trading with VIX and apply them to TSLA.
Whatever the case, I've learned a lot about working with LLM agents and time-series data, and very little about actually trading equities and derivatives.
(I did 100% beat SPY with a train/out-of-sample test, though not by much. I'll likely share it here in a couple weeks. It automates trading on Robinhood, which is pretty cool.)
Nice. I played with this a bit. Agents are very good at Rust and CUDA so massive parallelization of compute for things like options chains may give you an edge. Also, you may find you have a hard time getting very low latency connection - one that is low enough in ms so that when you factor in the other delays, you still have an edge. So one approach might be to acknowledge that as a hobbyist you can't compete on lowest-latency, so you try to compete on two other fronts: Most effective algorithm, and ability to massively parallelize on consumer GPU what would take others longer to calculate.
Best of luck. Super fun!
PS: Just a follow-up. There was a post here a few days ago about a research breakthrough where they literally just had the agent iterate on a single planning doc over and over. I think pushing chain of thought for SOTA foundational models is fertile ground. That may lead to an algorithmic breakthrough if you start with some solid academic research.
Fun fact - some of it may be a subset of all data and with trimmed outlying points, so when you set some stop loss conditions they get tripped in the real world, but not by your dataset. Get data from my sources.
I developed a Claude skill that will interact with and press every button intercepting every request / response on a website building a Typescript API. I only have $10 in that account so there isn't much damage that it can do. Probably get me banned but I don't use Robinhood for real trading.
Interesting. I'm not familiar with ClickHouse. I've been manually triggering compression and continuous aggregates have been a huge boon. The database has been the least of my concerns. Can you tell me more about it?
I've had a flurry of activity working with emacs, breaking out some things that were previously "Steve stuff" inside my local configuration into real packages.
One thing that I've been very happy with has been "org-people", now on MELPA, which allows contact-management within Emacs via org-mode blocks and properties. It works so well with the native facilities that it's a joy to work on.
I've been learning a lot of new things while I've been expanding it now it has a bigger audience (e.g. "cl-defstruct" was a pleasant surprise).
Been working on a solution to my meeting fatigue. I sit in way too many of them where I'm only there "just in case someone has a question" and realized I needed a way to safely not care about my meetings.
The idea is: you join a meeting, hit start on the app, minimize, and go do actual work (or go make a coffee). When someone says your name or any keyword(s) you set, you get a native macOS notification with enough context to jump back in without looking lost. It uses whisper and is 100% local and doesnt leave traces, also very OE friendly.
Been working on https://localhero.ai, its my service to automate on-brand translations for product teams. I've been doing outreach to Swedish companies/people, getting some good interest from a few that want to automate their localization workflow but don't want the work of maintaining own solutions. Even though you can build a version working with coding agents these days, there is a lot of stuff around it to make it work well over time in a product org.
On the tech side for Localhero, one thing I've been working on how it learns from manual edits. Like when a PM or designer tweaks copy in the Localhero UI, those things now better feed back into a translation memory and influence future translations. It's like a self-learning loop, turns out a pretty nice combo of using old-school techniques and offloading some work to LLMs.
Also been spending some time on my old side project https://infrabase.ai, an directory of AI infra related tools. Redesigned the landscape page (https://infrabase.ai/landscape), going through product submissions and content, optimizing a bit for seo/geo.
When GPT-4.5 came out, I used it to write a couple of novels for my son. I had some free API credits, and used a naive workflow:
while word_count < x:
write_next_chapter(outline, summary_so_far, previous_chapter_text)
It worked well enough that the novels were better than the median novel aimed at my son's age group, but I'm pretty sure we can do better.
There are web-based tools to help fiction authors to keep their stories straight: they use some data structures to store details about the world, the characters, the plot, the subplots etc., and how they change during each chapter.
I am trying to make an agent skill that has two parts:
- the SKILL.md that defines the goal (what criteria the novel must satisfy to be complete and good) and the general method
- some other md files that describe different roles (planner, author, editor, lore keeper, plot consistency checker etc.)
- a python file which the agent uses as the interface into the data structure (I want it to have a strong structure, and I don't like the idea of the agent just editing a bunch of json files directly)
For the first few iterations, I'm using cheap models (Gemini Flash ones) to generate the stories, and Opus 4.6 to provide feedback. Once I think the skill is described sufficiently well, I'll use a more powerful model for generation and read the resulting novel myself.
Building a boring POS (1) using various AI tools just to check what can I do with these tools. I have used claude, gemini and now using antigravity. I have not done a single edit manually.
I got it all done in probably an hour or two. But done in 10-15 min blocks over many days.
The front bump out leaks when we get driving rain. I installed some flashing but that wasn't enough, it's still leaking. So I'm working on that so I can close up the big hole in the ceiling some day.
The prior owners filled in the old coal chute with literal bags of cement sort of artistically placed in the hole in the brick foundation. So I'm trying to figure out what masonry tools and skills I'll need to close it up proper.
I'd like to build my kids a playhouse of some sort, sketching out some designs for that.
Managed BYOK stateless agent orchestrator called BeeZee: https://beezyai.net/. Basically Claude Cowork / a coding agent on the web but provider agnostic, you own the data and you can connect several nodes to it. Instead of installing an agent for all your machines you have one master agentic server and executor nodes. The server is stateless the data lives on the nodes and in a managed database. I use Supabase and Google KMS so my auth keys are encrypted. Uses Pi agent under the hood. This enables me to code from my phone without a dedicated SSH terminal and without the need to babysit the agent. I describe the feature, off it goes, I close my phone and in 10 mins the results are there. Also using it to support my wife with white collar stuff like Excel analysis, translation, etc. It's a bit buggy but getting better.
https://finbodhi.com — It's an app for your financial journey. It helps you track, understand, benchmark and plan your finances - with double-entry accounting. You own your financial data. It’s local-first, syncs across devices, and everything’s encrypted in transit (we do have your email for subscription tracking and analytics).
Supports multiple-accounts (track as a family or even as an advisor), multi-currency, a custom sheet/calculator to operate on your accounts (calculate taxes etc) and much more.
Most recently, we added support for benchmarking (create custom dashboards tracking nav and value chart of subsets of your portfolio) and US stocks, etfs etc.
https://telephone.health, which shows how well LLMs can take narrative medical text, convert it to a structured form (FHIR R4, for application consumption), and then convert it back to narrative text for human consumption.
Interesting findings include Mistral doing better than Gemini 3 Pro in certain usescases, cross-LLM works better than one LLM to another, oh and - the cost all of of this. So, so expensive.
I am working on some math education tools. One is free and open-source, the other is paid.
Free Math Sheets is a tool to generate math worksheet PDFs (and the answer keys if required). Currently it supports K-5 but I want to expand it to higher levels of math (Calculus, Physics, you name it!). You select a bunch of different options and then generate it. All in the front-end. No back-end or login in required. https://www.freemathsheets.com
If you are interested in helping out or forking it, here is the github repo github.com/sophikos/free-math-sheets
The paid project is Numerikos. I am going for something in between Khan Academy and Math Academy. I like the playfulness and answer input methods from Khan Academy (but it is linear, doesn't have a good way to go back and practice, etc.). I like Math Academy's algorithm (but it has multiple choice answers, yuck! and is easy to get stuck and doesn't have a good way to explore on your own). Currently Numerikos supports 4th and 5th grade math lessons and practice. The algorithm is based on mastery learning like Numerikos, but you can also see a list of all the skills and practice whatever you want. I am also working on a dashboard system where you can build your own daily/weekly practices for the skills you care about. Next up is 6th grade math and placement tests.
I'm working on a similar thing, but due to various problems I encountered (auto-grading, scheduling, guidance, ...) I have, for now, concentrated on making a curated collection of problems / exercises. It's not yet a generator but rather "one of each kind of problem".
The idea is that _any_ user-facing tool, whether an app, worksheet generator or whatever, will need something like this for content, so I'm making this available for free and hoping for others to build on top of it.
I'm sticking to university-level stuff because I feel that school-level, especially math, is over-saturated already.
Technically, it is currently built as a React app, but that is mostly me sticking to tools that get out of my way. Generating PDFs or Anki files should be relatively straightforward.
Nice! University-level math would be great. That is my end goal as well, but I probably won't get to that until the end of the year. I am focusing on lessons that my kids will use, then switch focus to ones that I will use. Do you have it hosted somewhere? Or can you add some details/screenshots to the readme?
ChatShell (https://github.com/chatshellapp/chatshell-desktop) — open-source desktop AI agent built with Tauri 2 + Rust. Ships with 9 built-in tools (web search, bash, file read/write, grep, etc.) so the AI can take real actions from the first conversation. No plugins, no config. Supports 40+ providers, MCP with OAuth, and a skills system. Apache 2.0.
Today working on adding chat history search (FTS5) and OpenRouter Nano Banana 2 support.
Been using ChatShell as my daily driver for non-dev tasks — research, writing, file management, web lookups. The features I rely on most are well tested through dogfooding.
I vibe coded a tiny MUD-style world sim where LLMs control each character. It's basically a little toy sandbox where LLMs can play around. There's no real goal to this, I just thought that it would be fun, like a more advanced tamagochi.
One of the issues I encountered initially was that the LLMs were repeating a small set of actions and never trying some of the more experimental actions. With a bit of prompt tweaking I was able to get them to branch out a bit, but it still feels like there's a lot of room for improvement on that front. I still haven't figured out how to instill a creative spark for exploration through my prompting skills.
It has been quite exciting to see how quickly a few simple rules can lead to emergent storytelling. One of the actions I added was the ability for the agents to pray to the creator of their world (i.e. me) along with the ability for me to respond in a separate cycle. The first prayer I received was from an agent that decided to wade into a river and kneel, just to offer a moment in stillness. Imagining it is still making me smile.
Unfortunately, I don't have access to enough compute to run a bigger experiment, but I think it would be really interesting to create lots of seed worlds / codebases which exist in a loop. With the twist being that after each cycle the agents can all suggest changes to their world. This would've previously been quite difficult, but I think it could be viable with current agentic programming capabilities. I wonder what a world with different LLM distributions would look like after a few iterations. What kind of worlds would Gemini, Claude, Grok, or ChatGPT create? And what if they're all put in the same world, which ones become the dominant force?
I’ve been messing around with a similar project (but in a grimdark/cosmic horror setting). I was running into the same issue, agents getting stuck in a loop. What worked for me was adding dwarf fortress/rimworld like systems. The random events and systems influencing systems worked wonders for me.
Right now around 3,500 people play every day which kind of blows my mind!
It's free, web-based, and responsive. It was inspired by board games and crosswords.
I've been troubleshooting some iOS performance issues, working on user accounts, and getting ready to launch player-submitted puzzles. It's slow going though because I have limited free time and making the puzzles is time consuming!
It's been a gradual process over the last 5.5 months. Here are some of the things that worked for me:
- I applied to showcase the game at the Portland Retro Gaming Expo with the Portland Indie Game Squad. They accepted me so I was able to showcase it at the expo for a day. This got me some players right off the bat
- I shared it on HN, Reddit, Mastodon, etc.
- The website Thinky Games wrote an article about it
- The YouTube channel Cracking the Cryptic shared it which got a lot of new players. More recently a couple of other YouTubers (Timotab and Stro Solves) have been posting videos regularly
I made an idle version of the 1999 MMORPG "EverQuest". There's maybe around 50 people playing at any given time and has a enthusiastic discord group for it. It's relatively fully-featured to the original game, and has a lot of new mechanics to make the idle format work well. The 3D graphics aspect of it is really more of a screensaver, though, and all game interactions are done through menus.
I recently converted a bunch of stuff to be client side instead of server side (turns out running a real-time MMORPG server is expensive) so there's a new round of bugs I'm still resolving, but it's still fun to play:
It’s like netflix for language, where users can select/create their personal bilangual stories.
I had quite a lot of feedback from HN, friends, random people on the internet and trying to solve the common pain points and find my way around to make it geniunely useful.
- Most people said it’s hard to come up with a story, so I added url grounding. Also added buttons (including HN :)) so people can just click click and get their stories at their level with their interests.
- Made sure people can generate stories without ever signing up
- Each word is highlighted while being read, and the meanings can be checked with a tap. I also added an option for users to read the sentence for being checked how good their pronounciation is.
- Benchmarked 7 different models to get the fastest & highest quality story generation (it’s gemini now) and it’s insanely fast. I might share more about it on the webpage because I am an engineer and I enjoy this stuff lol.
- Added CSV import in Use my words so Anki users can just import their words to study.
- Also people can download their stories as pdf so they can send it to their kindles.
- I am working on a ChatGPT app, so people can just say “@DuoBook give me a Dutch/English story on latest Iranian events” within ChatGPT, but I am a bit afraid that it might be costly lol.
I've joined this year's Flame Game Jam which uses the Flame Engine built on top of Flutter. This is my first game jam and I really hope I manage to submit the game before the deadline on Sunday.
Here's a link to the jam if anyone else is interested, and I recommend joining the Discord server too because the organizers and participants are really great and fun to hang around! - https://itch.io/jam/flame-game-jam-2026
I am working on a HTML-to-PDF converter written from scratch in pure Go. I got tired of using headless browsers for various reasons and decided to give it a try and implement something that I can use internally. However the results have far exceed my expectations and I've decided to open source everything. It's around 10x to 15x faster than wkhtmltopdf, which is by far the fastest headless browser converter. It's 80x-100x faster than a pagedjs. It's even 2x faster than PrinceXML, which is pretty much the most mature and reliable HTML-to-PDF converter on the market. It also produces the smallest PDF size.
I started small as a toy project, but gradually implemented full support for proper block context, flexbox layout, CSS variables, tables, etc. to the point where I have almost full support of all major CSS features (even math functions like calc(), min(), max()).
I'm cleaning up the code right now and will upload it later today or maybe tomorrow here: https://github.com/PureGoPDF
Do you intend to one day support all the paged media bits in pagedjs? I assume it works with their polyfill but it’d be great to have a built in more performant option.
Trying out vibe-coding (so mostly not even reading the code) a note-taking web app that's essentially a simplified and dirt-cheap to host Workflowy clone. That seems to me like an easily disruptible SaaS in the sense that note-taking is a very generic app, I only use a small part of the feature set of Workflowy and find the price far too high given that. A lot of other vibe-coding around me I see is throw-away junk, but my intention is to actually use this. The frontend is mostly done and working quite nicely already. Sync is then more crucial to get right to avoid data loss and I think I'll review and rewrite myself more of that.
Codeboards https://codeboards.io - Codeboards connects to GitHub, Stack Overflow, LinkedIn, and HuggingFace to generate a professional developer profile that updates itself. Your commits, contributions, and reputation — finally in one place.
I'm writing an essay where I get into how I use GNU Emacs along with gptel (a simple LLM client for Emacs) and Google's Gemini-3 family of models to turn a 1970s-vintage text editor into a futuristic language-learning platform to help me study Latin. I want to show how I liberate poorly aligned, pixelated PDF image scans of century-old Latin textbooks from the Internet Archive and transform them into glorious Org mode documents while preserving
important typographic details, nicely formatted tables, and some semantic document metadata. I also want to outline how to integrate a local lemmatizer and dictionary to quickly perform Latin-to-English lookups, and how to
send whole sentences to Gemini for a detailed morphological and grammatical breakdown.
I also intend to dig into how to integrate Emacs with tools such as yt-dlp and patreon-dl to grab Latin-language audio content from the Internet, transcode the audio with ffmpeg, load it into the LLM's context window, and
send it off for transcription. If the essay isn't already too long, I'll demonstrate how to gather forced-alignment data using local models such as
wav2vec2-latin so I can play audio snippets of Latin texts directly from a transcription buffer in Emacs. Lastly, I want show how to leverage Gemini to automatically create multimedia flash cards in Org mode using the anki-editor Emacs minor mode for sentence mining.
I've been plugging away on MadHatter (https://madhatter.app), a web tool for knitting/crochet projects. It works best on desktop!
Why? Many yarncrafters painstakingly build spreadsheets, or try to bend existing general purpose pixel editors to their will. It's time consuming & frustrating.
Along the way, I've solved a bunch of problems:
- Automatic decreases (shapes the hat) / overstitching markers (shows when multiple colors are used in the same row)
- Parameterized designs, like waves, trees, geometric shapes. No more manually moving an object by a couple of pixels, it's a simple click & drag.
- Color palette merging (can't delete a color if you already use it in a pattern!)
- Export to PDF (so you can print it or stick it on a tablet)
- Repeat previews (visualize the pattern as it repeats horizontally)
The core feature that makes this more useful than most general purpose editors is that the canvas is continuous.
If you drag a shape near the right edge of the canvas, you'll see it "wrapping around" onto the right edge.
I took a look at it because you do PDF generation (I am doing front-end PDF generation in my project as well so I wanted to compare), not because I know anything about knitting or crocheting. I made a design, drew on the grid a bit, but was unable to export. I am not sure if I was missing something but it would be helpful to the user if there was a message in the export area about why they cannot export yet.
Two choropleth map projects I've wanted to make for a while:
https://housepricedashboard.co.uk - shows a visualisation of house prices in England and Wales since the 90s, with filters for house types, real vs nominal, and change views over time
https://councilatlas.co.uk - similar structure to the above, but focusing on local council datasets. The idea is to make it easier to compare your local council's performance against the rest of the country.
Basically OpenClaw but with investing dashboards for my portfolio, additional tools specifically for investing, and exploring an AI-Human collaboration on researching economics (check the 'community' tab).
The data models are all in markdown and Excel so that there's no lockin and you can manually edit positions, personalities, etc.
This comes from frustration around most investing tools basically scraping your personal data + forcing you to lock into subscriptions. I think it's now possible to just vibe code most of what one needs, aside form raw data subscriptions.
The recent Netflix Games edition of Overcooked with K-Pop Demon Hunters is cool, but not nearly as cool as kids coding and playing their way through Overcooked levels in our custom educational mod for Overcooked:
And last week I also put together the first release of MoonSharp in ~10 years; Lua runtime for Unity. That's not for Breaka Club though, I also consult for Berserk Games on Tabletop Simulator:
Building grith — OS-level syscall interception for AI coding agents.
The problem: every agent (Cline, Aider, Codex, Claude Code) has unrestricted access to your filesystem, shell, and network. When they process untrusted content — a cloned repo, a dependency README — they’re prompt injection vectors with full machine access. No existing tool evaluates what the agent actually does at the syscall level.
grith wraps any CLI agent without modification. OS-level interception captures every file open, network call, and process spawn, then runs it through 17 independent security filters in parallel across three phases (~15ms total). Composite score routes each call: auto-allow, auto-deny, or queue for async review. Most will auto approve - which eliminates approval fatigue.
Also does per-session cost tracking and audit trails as a side effect of intercepting everything.
It’s fast in terms of a response from a LLM model - but it is part of the system I am quite active on at the moment to ensure it’s performant as possible
I'm working on an IoT networked, time sync'd "Smart Dealer Poker Button" - replacing the plastic thing that gets passed around from the current dealer to the next dealer with a IoT display that informs players what level the blinds are etc etc.
Provisional patents went in recently so don't mind broadcasting to a wider audience beyond my poor, unknowing, testers
You can see it working here: https://www.youtube.com/watch?v=G5Xup3kB1D0 and I literally put up a holding page for some media related surges (as it's all self hosted etc and I didn't want to mix my functional stuff with my spikey stuff) here ( name to be worked on, but "NUTS" is the current one) : https://buttonsqueeze.com
I love making games, and I've been building a no-code game engine by extracting reusable components every time I ship a new game. It started as me scratching my own itch, and now it's turning into a real platform.
Each game adds more building blocks to the editor: multiplayer, event systems, NPC behaviors, pathfinding, etc. I build a system once, and then anyone using the editor can use it in a click.
Since my last month, I shipped the asset marketplace and the LLM builder. Artists can now upload tilesets and characters, and unlike itch.io, assets drop directly into the editor. You can preview how they'll actually look in-game before using them [1].
An other problem I kept running into: even with a no-code editor, users don't know where to start. So now I'm extending it with a coding agent. Describe the game you want, and it assembles it — pulling assets from the marketplace, wiring up the event system, and using all the building blocks I've spent the past year extracting. Multiplayer, mobile controls, pathfinding, NPC behaviors — the agent doesn't build any of it, just reaches for what's already there.
Once the LLM assembles it, users will have a game ready to work on, and will still be able jump into the editor and tweak everything [2]. Here's an example of what it can already make [3] (after a lot of prompting), and the goal is to reach games like this one I built with the manual editor[4].
Hoping to release the AI mode in a week or two. The manual editor is live at https://craftmygame.com in the meantime.
It pulls a list of birds reported on eBird in your county in the last 2 weeks and you ask preselected questions like the the color or size to whittle down the possibilities. I also made a matching game that uses the same list and you have to match the name to a picture of the bird. I set it up for California for now. I wanted to get more comfortable with SQL and APIs.
I like the idea and I would play it, but the system of coming up with questions and then having to answer them in order to narrow down the options is unintuitive. Can I see a picture of the bird? Can I hear its call? Can I guess species and see categories get narrowed down? Those aren't necessarily what you need to add, but they're what I'm used to for daily games, and what I expected when I clicked the link.
I like those! A picture of the bird would be the matching game. I want to add a bird song game too. The idea was to make it like the 20 questions game. Maybe I should lean into this more. I did make something where you guess the species and it narrows down through it's taxonomy.
It's a bad ripoff of the much, much more fun metazooa (https://metazooa.com/play/game). I kike it but it gets real annoying when your down to 1 of 10 bats or something. I've been using it to read and edit Wikipedia articles for undeveloped pages.
I've wanted this for a long time, so I finally started building it. I've had a lot fun!
- Graph-based signal flow: Products become nodes, connections are edges inferred from port compatibility (digital, analog, phono, speaker-level domains)
- Port profile system: Standardized port definitions (direction, domain, connector, channel mode) enable automatic connection inference
- Rule engine: Pluggable rules check completeness, power matching, phono stage requirements, DAC needs, and more
Started on making my own AI model benchmarks and leaderboard[0], after I tested MiniMax M2.5, which was supposedly good based on standard benchmarks, but peformed really poorly in practice and burned through hundreds of thousands of reasoning tokens for each request...
Over the last year I've been hacking on Table Slayer [0] a web tool for projecting DnD maps on purpose built TV-in-table setups. Right now I'm working on making hardware that supports large format touch displays.
Since I also play boardgames, this past month I threw together Counter Slayer [1], which helps you generate STLs for box game inserts.
Both projects are open source and available on GitHub. I've had fun building software for hobbies that are mostly tactile.
Eazip (https://eazip.io) — a REST API that bundles remote files into a downloadable ZIP.
POST a list of URLs, get back a signed download link. Your server never touches the file data.
Built it because I kept writing the same server-side ZIP streaming boilerplate on every project — memory spikes, connection timeouts, ZIP64 edge cases. Now it's one API call.
Zero egress fees, ZIP64 support (4 GB+, up to 5,000 files/job), signed expiring URLs. Free tier included, no credit card needed.
One month ago, I purchased this small eink reader (Xteink 4) and I've been loving reading on that device. It made me read much more in the past month (already more than 50% through Fall or Dodge in Hell).
The stock firmware is horrible but the community has this firmware called CrossPoint. I wanted to be able to upload, manage files etc. from my iPhone on the go and also send over web articles. So I build this app CrossPoint Sync https://crosspointsync.com to do just that.
I've already published it on App Store and pending publishing on Android. The community is niche and has also been using the app, so its been fun building for my use and in turn also getting good feedback from community.
If you are using the Xteink and CrossPoint firmware, then give the app a try.
KPT is a language app specifically targeted at explainable verb conjugation for highly inflected/agglutinative languages. Currently works for Finnish, Ukrainian, Welsh, Turkish and Tamil.
These are really hard languages to learn for most speakers of European languages, particularly English - we're not used to complex verb conjugations, they're hard to memorise and the rules often feel quite arbitrary. Every other conjugation practice app just tells you right/wrong with no explanation, which doesn't really help you learn when there are literally hundreds of rules to get right.
The interesting part was using an LLM to create a complete machine-executable set of conjugation rules, which are optimized for human explainability, and an engine to diagnose which rule is at fault when you get it wrong. There's several hundred rules needed for each language in order to cover all exceptions.
NB as a bonus it also works fully offline because my best practice hours are when I'm travelling and have poor connectivity.
https://e.ml A free inbrowser inbox for inspecting .eml (email) files. There are many one-off .eml viewers around but I found myself inspecting the same files many times which evolved into this concept of an inbrowser inbox. Plus, world's shortest domain (3 characters) and the domain is an exact match for the file extension, a fun novelty. Very easy to remember!
https://milliondollarchat.com a reimagining of the million dollar homepage for the AI age. Not useful, but fun. A free to use chatbot that anyone can influence by adding to the context. The chatbot's "thoughts" are streamed to all visitors.
I have worked with data for a while. I feel like our tools could be much better when it comes to "flow". I want an experience where you don't need to alt+tab to slack/images/another query. What if we put it all on a canvas? That's what Kavla is all about!
Since last month I've done a lot of improvements to the editor to make the "flow" better.
I've also read up on HMAC, Nonces and fun encryption stuff to create read only boards.
I am working on Grog, the “grug-brained” alternative to Bazel. Bazel has a very steep learning curve and is pretty much overkill for most medium-sized teams. Grog already powers all of our internal mono-repo CI and is a lot more fun to work with.
We have been homeschooling our kids. Homeschooling in India is not that widespread. So when a national newspaper covered our experiment, I got lot of questions around what we were doing. For a while I wrote blog posts answering them.
Now I've written quite a few posts (and given talks), I thought of writing a book. Just wrote two chapters. The draft lives here: https://www.jjude.com/books/hs/
Hi. Garry.
I hope you’re doing well. I wanted to briefly introduce myself.
I’m a Senior Full Stack Engineer with over 8 years of experience building and scaling production systems using Node.js, TypeScript, React, and Python. I’ve worked in remote, product-focused environments where I’ve led architectural improvements, including migrating a monolithic system to microservices, reducing deployment time by around 50% and improving scalability and reliability.
I’m comfortable owning features end-to-end — from system design and API development to deployment, performance optimization, and production support. I’ve also implemented CI/CD pipelines, improved database performance (PostgreSQL), and contributed to cloud-native infrastructure on AWS using Docker and Kubernetes. In addition, I’ve worked on AI-driven workflows and LLM integrations for modern product capabilities.
I’m currently exploring new remote opportunities and would love to connect if you’re building or scaling a product where strong backend architecture, clean execution, and ownership matter.
If it makes sense, I’d be happy to schedule a short conversation.
Thank you.
https://monohub.dev — a new EU-based (hosted and developed) GitHub alternative. Currently, it has a file browser and a PR review tool. Started off as a personal tool, but grew enough to consider offering as a service.
It is at a fairly early stage of development, so it's quite rough around the edges. It is developed and hosted in EU.
I have started developing it as a slim wrapper around Git to serve my own code, but it grew to such extent that I decided to give it a try and offer it as a service. It doesn't have much at the moment, but it already has basic pull requests. Accessibility is high priority.
It will be a paid service, (free for contributors) but since it's an early start, an "early adopter discount" is applied – 6 months for free. No card details required.
I would be happy if you give it a try and let me know what do you think, and perhaps share what you lack in existing solutions that you would like to see implemented here.
I used Rust to build a terminal based IDE for parallel coding cli workflow. It works with Claude Code, Codex and Gemini!
My favorite features are:
- custom layout and drag and drop to change window
- auto resume to last working session on app starting
- notifications
- copy and paste images directly to Claude Code/Codex/Gemini CLI
- file tree with right click to insert file path to the session directly
OH and it works on both Windows and MacOS! Fully open source too!
I wrote a CLI utility last year to control my SoundBlasterx G6 DAC (can only control LED colour and EQ bands) without needing to use Creative's windows only program (I am mostly a Mac + occasional Linux) user.
Recently downloaded Qwen3-coder-next 80b model and been vibing with it to introduce Qt6 and write a dead simple (aka ugly) crossplatform GUI to it so that other people can use it on their Macs and Linux machines. Letting a LLM wreak havoc on your project feels bad, I constantly have to reign it in and rollback the repo once it starts looping due to writing something that doesn't compile, making it going back and forth between doing and undoing changes.
I’m working on a 2D top-down Zelda-style adventure MMO game. I’m imagining it as a persistent world with Minecraft-like building and procedurally generated quests. I’d like to focus on co-op adventuring and social rather than pvp. Kind of a D&D experience I suppose, though that’s not really a direct inspiration for me.
I have no illusions that this is actually something in capable of building to an actual release-able state but it’s fun to tinker with.
I am building ReifyDB(reifydb.com), a database for live application state.
A lot of existing databases are storage first, with everything else built around them. I have been exploring what it looks like if the database is closer to the application runtime itself, where state is live, queryable, and easier to reason about directly.
One thing I am prototyping right now is database-native tests.
Basically: what if integration tests were a database primitive?
CREATE TEST test::insert {
INSERT test::users [{ id: 99, name: "Ghost" }];
FROM test::users
| FILTER id == 99
| ASSERT { name == "Ghost" };
};
So not a wrapper, not a framework, not an external test runner.
A real test object inside the database.
The idea is that you could run these before schema changes, and make stored procedures or other database logic much easier to test without leaving the database model.
Still early, but it feels like one of those things that should just exist, especially for databases built around live application state.
I'm building web-based CAD software for woodworkers. Not a plugin, I'm starting from scratch. I'm aiming for it to be intuitive for non-technical users (think SketchUp), while also offering some of the more powerful tools of "proper" CAD tailored for woodworking: simple parametric workflows, cutting layout optimization, built-in tools like chamfers and joints,...
Wanted to see if AI could figure out how to compress executable binaries better than existing generic tools without me actually knowing much about compression engineering or ELF internals.
The result is an experiment called fesh. It works strictly as a deterministic pre-processor pipeline wrapping LZMA (xz). The AI kept identifying "structural entropy boundaries" and instructed me to extract near-branches, normalize jump tables, rewrite .eh_frame DWARF pointers to absolute image bases, delta-encode ELF .rela structs with ZigZag mappings, and force column transpositions before compressing them in separated LZMA channels.
Surprisingly, it actually works. The CI strictly verifies that compression is perfectly reversible (bit-for-bit identity match) across 103 Alpine Linux x86_64 packages. According to the benchmarks, it consistently produces smaller payloads than xz -9e --x86 (XZ BCJ), ZSTD, and Brotli across the board—averaging around 6% smaller than maximum XZ BCJ limits.
I honestly have no idea how much of this is genuinely novel versus standard practices in extreme binary packing (like Crinkler/UPX).
Does this architecture have any actual merits for standard distribution formats, or is this just overfitting the LZMA dictionary to Alpine's compiler outputs? I'd love to hear from people who actually understand compression math.
My 8-year-old is learning English and loves Peppa Pig. I thought — what if he could actually pick up words from watching it? Not "tap the apple" drills, but learning from the show he already loves.
So I built YouLingua (https://youlingua.world). Paste any YouTube video and get a word-by-word interactive transcript. Click a word to save it with the exact video moment — "muddy puddles" isn't a flashcard, it's Peppa jumping in one. Saved words then power mini-games: a space shooter, hex puzzles, TikTok-style review shorts...
Browser-based, no install. Login with a Web3 wallet — no grand reason yet, just something I'm interested in. Dream is to eventually make it fully decentralized so you truly own your learning data.
Still early, but my son now asks to "play the word game." That feels like a win.
https://github.com/hsaliak/std_slop a sqlite centric coding agent. it does a few things differently.
1 - context is completely managed in sqlite
2 - it has a "mail model" basically, it uses the git email workflow as the agentic plan => code => review loop. You become "linus" in this mode, and the patches are guaranteed bisect safe.
3 - everything is done in a javascript control plane, no free form tools like read / write / patch. Those are available but within a javascript repl. So the agent works on that. You get other benefits such as being able to persist js functions in the database for future use that's specific to your codebase.
For all the places it's bad at, AI has been fantastic for making targeted data experiences a lot more accessible to build (see MotherDuck and dives, etc), as long as you can keep the actual data access grounded. Years of tableau/looker have atrophied my creativity a bit, trying to get back to having more fun.
Nice! I’ve been working on https://treeseek.ca which is a different use case from most of the other open data tree sites I’ve seen — I want to be instantly geolocated and shown the nearest trees to me. I do a lot of walking and am often mesmerized by a particular tree, and I wanted something to help me identify them as quickly as possible, with more confidence and speed than e.g. iNaturalist (which i do also use).
This is an app that’s been bouncing around in my head for over a decade but finally got it working well enough for my own purposes about a year and a half ago.
Oh that's great! I was finding fun tree collections and wanted to go see them - unfortunately not in SF so not likely - but your app has some nice data around me that I can check out! Are you primarily using OSM data?
I was thinking of a google maps kind of "here you are, here's your walking path of interesting trees" potentially, or something else that could tie the overview to the street experience - on the backlog!
Building DynoWizard [1] - tool for designing single table DynamoDB tables.
I first used DynamoDB 8 years ago and have been designing single-table schemas heavily since. For me, the best way to create drafts was always pen and paper (and then excel/confluence tables), but in reality it's a process (based on The DynamoDB Book) that can be automated to an extent.
Decided to build an app while on paternity leave. You define entities and access patterns, create (or get suggested) key and GSI design, and generate code for access patterns (TypeScript and Python), infrastructure (CDK, CloudFormation, Terraform), and documentation you can share with stakeholders.
There's more I want to build beyond the MVP - things around understanding and validating designs that you can't get from a chatbot - but for now focusing on the core.
If anyone wants to try it out, sign up for the waitlist on the landing page. MVP should be ready in the next few weeks.
A lightweight framework on top of Temporal for building reliable, stateful AI agents on top of temporal.
Think OpenClaw, but durable, with long-term state, and enterprise-ready. We've been using it internally to build agents for a while now and have decided to open-source it.
I’m building a decentralized Drone-as-a-Service (DaaS) orchestration layer that treats aerial robotics as a simple API endpoint.
The system allows users to submit a JSON payload containing geocoordinates and mission requirements (e.g., capture_type: "4K_video" | "IR_photo"), the backend then handles the fleet logistics, selecting the optimal VTOL units from distributed sub-stations based on battery state-of-charge and proximity.
I finally decided to try and make a note taking tool I've been wanting to use.
https://chrononotes.com/
As many here, I've found that a single text file is all that I really need, but found that it makes it difficult to keep track of a variety of things. I was also trying to use the file as a simple project tracker, adding some tags like [BUG-N], and updating them by hand. Eventually, it became difficult to track the progress of things, since I had to jump around the file to look for updates.. or use grep.
I condensed the idea to just that - a very simple tool which manages "trackers", and has a simple filtering built in to "trace" the updates. I've been using it, since I've added the BE, and dogfooding it a bunch. Would love for fellow note takers to take a look. It's not perfect, but I'm keeping it around for myself :)
This looks great if combined with versioning system. As part of git repor for example.
But, for general journaling, I would not trust something that does not leverage the strengths of a filesystem.
A soccer web game where you are the coach and your only possible interaction is shouting (ie typing) messages to your players from the sidelines. An LLM interpret your messages and pass instructions into the game engine.
I could see this being a very eye opening game if you added "Fan" and "Parent" modes. In "fan" mode nothing you said would affect the game, although maybe a player would laugh once in a while. In "parent" mode, you'd have a youth soccer game where whatever you said would confuse the player and they'd perform worse.
Sounds like a fun project -- like a more interactive version of Football Manager.
An accessible color palette editor for creating branded palettes built from the ground up that pass WCAG/APCA contrast rules (which is much quicker and less of a headache compared to doing manual contrast checks and fixes later):
The current web tool lets you export to CSS, Tailwind and Figma, and uses HSLuv for the color picker. HSL color pickers that most design tools like Figma use have the very counterintuitive property that the hue and saturation sliders will change the lightness of a color (which then impacts its WCAG contrast), which HSLuv fixes to make it much easier to find accessible color combinations.
I'm working on a Figma plugin version so you can preview colors directly on a Figma design as you make changes. It's tricky shrinking the UI to work inside a small plugin window!
I have built npm for LLM models, which lets you install & run 10,000+ open sourced large language models within seconds. The idea is to make models installable like packages in your code:
llmpm install llama3
llmpm run llama3
You can also package large language models together with your code so projects can reproduce the same setup easily.
Yes indeed there is, run `llmpm serve <model_name>`, which will expose an API endpoint http://localhost:8080/v1/chat/completions & also host a chat UI where you can interact with the local running model https://localhost:8080/chat.
I absolutely love pre-1800 homes and am exploring a few ideas on how to help preserve and promote them. The main thing I'm working on to that effect is https://homelore.org
It's like a carfax but for your home, although the intention is more to create an interesting historical narrative that inspires people to care about the history of their home rather than as a tool for inspecting home issues before buying.
My target customer is realtors who want to inspire buyers to take on historic homes that may need a lot of work. Also home owners themselves of course.
“Like carfax but for your home” is a really interesting idea. So many homes are bought with little-to-no history beyond an inspection of questionable thoroughness.
If this became the norm, somehow, it would be a really helpful tool for both buyers and sellers.
I'm building Fillvisa: Turboxtax for Immigration [1]
It's a free USCIS form-filling web-app(no Adobe required). USCIS forms still use XFA PDFs, which don’t let you edit in most browsers. Even with Adobe, fields break, and getting the signature is hard.
So I converted the PDF form into modern, browser-friendly web forms - and kept every field 1:1 with the original. You fill the form, submit it, and get the official USCIS PDF filled.
I found out SimpleCitizen(YC S16) offers a DIY plan for $529 [2]
So, a free (and local-only) version might be a good alternative
Over the past weeks, we consistently get 5-6 submissions per week. The newsletter and number of visitors are growing.
I’ve come to treat this as a pet project but realized that for indie devs who get very little marketing attention, being featured in the newsletter, top of the daily list, etc. can be another burst of users.
https://bettertaste.cc/
Building an iOS app that helps travelers find handpicked places with real local character: cafés, restaurants, hidden galleries across European cities. No sponsored listings, no aggregator noise.
- Crowd Strike: faster self-driving: an exhibition where the visitors help autonomous drones target a different visitor each minute with lasers
and also Wingman: a dating app secretary (privacy focus, runs locally on your computer for any dating app that has a web site. It tells you if favourites have messaged you): https://boxc.net/wingman_app.png I'll open source this one if interest.
1. Live Kaiwa — real-time Japanese conversation support
I live in a rural farming neighborhood in Japan. Day-to-day Japanese is fine for me, but neighborhood meetings were a completely different level. Fast speech, local dialect, references to people and events from decades ago. I'd leave feeling like I understood maybe 5% of what happened.
So I built a tool for myself to help follow those conversations.
Live Kaiwa transcribes Japanese speech in real time and gives English translations, summaries, and suggested responses while the conversation is happening.
Some technical details:
* Browser microphone streams audio via WebRTC to a server with Kotoba Whisper
* Multi-pass transcription: quick first pass, then higher-accuracy re-transcription that replaces earlier text
* Each batch of transcript is sent to an LLM that generates translations, summary bullets, and response suggestions
* Everything is streamed back to the UI live
* Session data stays entirely in the browser — nothing stored server-side
2. Cooperation Cube — a board game that rotates the playing field
Years ago I built a physical board game where players place sticks into a wooden cube to complete patterns on the faces.
The twist: the cube rotates 90° every round, so patterns you're building suddenly become part of someone else's board. It creates a mix of strategy, memory, and semi-cooperative play.
I recently built a digital version.
Game mechanics:
* 4 players drafting cards and placing colored sticks on cube faces
* The cube rotates every 4 actions
* Players must remember what exists on other faces
* Cooperation cards allow two players to coordinate for shared bonuses
* Game ends when someone runs out of short sticks
Oh that Live Kaiwa looks interesting, I might try it out this weekend with my wife and son (native Japanese). Anything to help my admittedly horrible Japanese
I inherited a stake in a pyridine derivatives chemical plant - while I do not know much about chemical feedstocks and the chemical supply chain, I am trying to help the current partner optimize their yields and reduce losses across multiple stages of reactions across the feedstock and reagents. It is quite similar to hardware design and electrical engineering than I thought.
I have also taken an interest in learning distributed paradigms like MPI and am using it on my own cluster of rPis
I built Collider, A wrap-based package and dependency manager for Meson.
I needed a way to use and push my own artifacts in Meson projects. WrapDB is fine for upstream deps, but I wanted to publish my packages and depend on them with proper versioning and a lockfile, without hand-editing wrap files.
Collider builds on Meson’s wrap system: you declare deps in collider.json, run collider lock for reproducible installs, and push your projects as wraps to a local or HTTP repo. It’s compatible with WrapDB, so existing workflows still work: you just get a clear way to use and push your own stuff. Apache-2.0.
Open-source plugins for Ghidra, Binary Ninja, and IDA Pro that bring LLM reasoning, autonomous agents, and semantic knowledge graphs directly into your analysis workflow.
Coming soon: A supporting online service. The VirusTotal for reverse engineering. A cloud-native symbol store and knowledge graph service designed for the reverse engineering community.
- Submit files for automated reverse engineering and analysis
- Query shared symbols, types, and semantic knowledge
- Accelerate analysis with community-contributed intelligence
- Versioned, deduplicated symbols with multi-contributor collaboration
While the plugins do support the creation of RLHF datasets for model finetuning, the plugins themselves don't currently use a custom-trained model. They support all major LLM providers (including local). I've found that with the right prompts, the frontier models are shockingly effective. And they are progressing much faster than any custom training effort I could shoestring together. As the models improve, the plugins improve.
NotifyButton - A simple script on the frontend of your site, a complete SaaS platform on the backend for DSA compliance.
If you operate in the EU and want to avoid heavy fines, this is for you. Once integrated, it allows users to report legal content issues directly to you, which you can then manage via a dedicated dashboard following official EU procedures. Without such a system, users are much more likely to file complaints through official state or EU channels, which can trigger investigations.
"Does a launch make any impact if there's no audience?"
We've found most early-stage startups ignore social media until after a launch. Things like “$0 spent on ads” sound cool, but they don’t help if no one knows your product exists.
I'm building Appents to provide a done-for-you social media solution for startups.
Building a new kind of news site, featuring updates from primary sources.
We're constantly pulling info from official sources, and using AI to group and summarize into stories, and continue to share reporting from trusted, vetted journalists.
The result is news with the speed and breadth of getting updates straight from the source, and the perspective and context that reporting provides.
Didnt quite get this - if the only value prop is getting updates straight from the source (trusted/vetted journalists), what use is AI here, except for summaries perhaps?
Need is valid. The site is showing mostly flood watch warnings - maybe cluster topics? Also don’t mess with the scroll bar - maybe the ads are doing it, but it froze and wouldn’t move down for a while.
I’m working on WC Price Hostory, a plugin that handles price tracking and Omnibus Directive compliance for WooCommerce.
It’s been available as a free tool for years, growing to over 45k active installs. I just rolled out the Pro extension to offer more advanced features, and the early traction has exceeded my expectations. If you're running e-commerce in Europe, this is a must-have for staying compliant with EU law.
I just started building an operating system that will be written entirely in one text file.
This text file includes in order: a readme, a RISC-V assembly boot code, then the rest.
You run it by compiling the initial boot code with a RISC-V assembler, then you concatenate the binary with the whole text file itself.
Then when you run it, the boot code will compile the rest of the text file (the operating system), including higher level language compilers that the rest of the system will be written in.
This is the kind of project that creates something from as little as possible, where the only things you need to get started are a very basic RISC-V assembler and a computer or emulator to run it on.
I don't have anything interesting to show yet because I just started yesterday, but one day I will show you.
GetSize (https://www.getsize.shoes). We’re collecting the official sizing data of the world's shoes in one place.
Today, if you search for "what size should I get in Nike Air Max 90" you'll find size charts. We have it, and for 200+ brands across 70+ retailers. When users tell us which shoes they own and what size fits them we’re slowly building crowdsourced fit recommendations which are personal and more accurate compared to size charts.
We're two coders who've built an almost fully autonomous platform. AI agents build, debug and deploy crawlers on their own. We went from 4 crawlers to 280+ in about a month, and the whole thing runs on a home server. When new shoes are discovered, the platform publishes new pages with relevant info automatically. Agents get access to platform metrics and SEO data via custom MCPs to identify the right opportunities on their own. Currently at about 3000 MAU and about 100 size recommendations/day.
I got laid off a while ago and I’m privileged enough to take time to reconsider what I want to do. I’ve been learning how to sketch which supports my bigger passion- printmaking. I’ve primarily been doing linocut which is carving negative space into linoleum, inking it up, and printing it on paper. I’ve got a membership at a local atelier and have branched out into drypoint, kitchen lithography, and what I guess is called LEGOpress. I’m sparking a lot of joy working with my hands every day. I have been finding adequate challenge in honing my craft as I try to figure out how to draw/carve the images I see in my mind.
When I have time between freelance work I make games and tools for myself.
Put One In for Johnny Minn (https://store.steampowered.com/app/3802120/Put_One_In_for_Jo...) - A small soccer game all about scoring nice goals. While I don’t expect it to do well, I’m very happy with how it came out, and it’s the first game I’ve made that I’ll release on Steam! Comes out on Thursday (March 12th).
HeartRoutine (https://www.heartroutine.com/) - I built this a few months ago to help me stay on top of my heart health. I enter my numbers on the (offline) app, and then configure my goals (like “lower Apo B through diet and exercise”), and then the server emails me every morning asking me what I ate yesterday, how I exercised, etc. The goal is to stay on track, and to be able to bring a cardiologist a very detailed report.
Have been working on three micro-saas, all built in Elixir/Phoenix:
https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.
https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.
https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".
I wrote this Telegram bot that translates any video with AI-generated subtitles in about 2 minutes. You paste a YouTube, TikTok, or Instagram link, pick your language, and get back the video with burned-in subtitles.
It started because my wife watches Chinese dramas and new episodes never have subtitles for our language. Turns out thousands of people have the same problem — Arabic speakers watching anime, Russian speakers following Turkish series, Persian speakers catching up on K-dramas.
Supports 40+ languages, works with any video link or direct file upload. There's also a Mini App inside Telegram for a more visual experience.
This looks cool, but what I'd really like is a self-hosted version that I could use to auto-subtitle videos I already have locally. This would help my language learning a great deal.
If any of you have already figured out a tool/workflow for this, I'd love to learn from your experience.
This thread prompted me to look into this. It seems that all I need is a thin wrapper around whisper-ctranslate2. So I wrote one and am playing with it right now.
I'm finding language auto-detection to be a bit wonky (for example, it repeatedly identified Ladykracher audio as English instead of German). I ended up having to force a language instead. The only show in my library where this approach doesn't work is Parlement[1], but I can live with that.
On the whole this is looking quite promising. Thanks for the idea.
Hey this looks cool but wanted to highlight a bug. I opened the bot, tapped on sample video and I got the “translating a sample Turkish drama…” message twice. Then it said “your first translation is ready” so I press view in the app and the recent list shows the duplication. It says the first one is ready but the second was in progress. I close the app and see a “our whale friend is gathering video” with a progress bar. So I guess it’s not ready? Then I get a failure message which looks like the second video failed? Anyway, cool idea but it seems buggy and I think the app UX could be simplified, good luck!
I just launched bookcall.io publicly last week. Think calendly that treats your scheduling page more like a sales funnel. Very important if one call can make you a bunch of money. Page builder, brand assets, videos, documents etc. attachable. Forms, video calls, everything included.
Also launching a supabase security scanner. If someone wants a free scan hit me up. Includes POCs and verification before and after remidiation. Goodbye false positives.
I'm working on a personal recipe site called Struggle Meals, in the genre of https://traumbooks.itch.io/the-sad-bastard-cookbook and https://old.reddit.com/r/shittyfoodporn/, for food I ate when I felt too poor / depressed / tired / chronically unwell. Some of them are just normal adulting recipes. Some are meal prep. Some are too struggly for a legitimate recipe site.
I have some barebones content at https://struggle-meals.wonger.dev/ and will be working on the design over the next few weeks. Some decisions I'm thinking about:
- balancing between personal convenience and brevity vs being potentially useful for other people. E.g. should I tag everything that's vegan/vegetarian/GF/dairyfree/halal/etc? Should I take pictures of everything? (I'd rather not)
- how simple can I make a recipe without ruining it? E.g. can I omit every measurement? should I separate nice-to-have ingredients from critical ingredients? how do I make that look uncomplicated? (Sometimes the worst thing is having too many options)
- if/how to price things? Depends on region, season, discounts, etc
It's like OpenClaw but actually secure, without access to secrets, with scoped plugin permissions, isolation, etc. I love it, it's been extremely helpful, and pairs really well with a little hardware voice note device I made:
I'm working on arranging talks and poster presentations at various conferences/seminars to spread knowledge of my latest academic paper, "Specieslike clusters based on identical ancestor points". In the paper, among other things, I argue that (we should define species in such a way that) for any organism in any species, either the species is made up almost entirely of descendants of that organism, or else the species is made up almost entirely of non-descendants of that organism. This is a funny property because most people who hear about it fall into one of two camps, those who say it is obviously true, and those who say it is obviously false!
I am working on Kastanj. It aims to make cooking as foolproof as it can get. Anyone should be able to cook any recipe and get it right on the first try. Clear step by step images and instructions for everything etc.
It also features a recipe manager with family/friends sync. This makes it possible to upload your grandmother’s cookbook and share them with your whole family.
Nonograms! I built Nonodle[1], a daily nonogram puzzle game and I’m adding an option to access these puzzles from Nonoverse[2], my iOS nonogram app.
There is an API, and it’s a straightforward task, but one thing led to another and I’m also improving the app UI. The update will take some time but I hope it will only be better.
https://notepad95.com/
I still use regular notepad.exe and text files to take meeting notes. But I thought it'd be fun to have a seperate browser tab for it.
https://github.com/nickbarth/closedbots/
I was also trying to do a simplified openclaw type gui using codex. The idea being its just desktop automation, but running through codex by sending codex screenshots and asking it to complete the steps in your automation via clicks and keypresses via robotgo.
I was stuck on this conversation problem. First version had a dead-end search box: six starter prompts, one referencing a tool that didn't exist. No follow-ups. No guided flows. Users got an answer and had to invent the next question from scratch.
Now the assistant explores your library with you. Tag discovery, color browsing, weekly digests, smart collections that auto-curate as you save.
Semantic search runs hybrid, keyword matching plus pgvector cosine similarity on 768-dim embeddings. Streaming responses.
https://talimio.com/ Generate fully personalized courses from a prompt. Fully interactive.
New features shipped last month:
- Adaptive practice: LLM generates and grades questions in real-time, then uses Item Response Theory (IRT) to estimate your ability and schedule the optimal next question. Replaces flashcards; especially for math and topics where each question needs to be fresh even when covering the same concept. - Interactive math graphs (JSXGraph) that are gradable - Single-image Docker deployment for easy self-hosting
i was delighted to see your comment at top... I am working on the exact same thing, generating concept DAGs from books and letting a tutor agent use it for structure and textbook reference.
can we discuss this somewhere else?
I am working on two small apps for my dungeons & dragons group.
We're playing inperson and I really like to give them printed out cards for magic items they receive and also for spells, because they are quite new to the game.
So I build these two app to create items and spell cards and print them out.
Not sure if people interested, but since I use sqlite in a lot of my own projects, I am working on a lightweight monitoring and safety layer for production SQLite.
The idea is pretty simple: SQLite is amazing, but once it’s running in production you basically have zero observability. If something weird happens (unexpected writes, schema changes, background jobs touching tables, etc.) you only find out after the fact. It tries to solve that without touching application code. It's a Rust agent that runs next to your sqlite file, and connects to the server where everything is logged in. My current challenge right now is encryption and trust, mostly.
Curious if others here are running SQLite in production and if you would be interested in something like this.
Building a cheaper alternative to Twilio Voice Intelligence. Record phone calls, transcribe, generate AI summaries, enable semantic search over transcripts — $0.30/hour vs Twilio's $1.50/hour.
Stack is 15+ Go microservices on k3s.
Cross-lingual semantic search is fun. Spanish query returns English calls with no translation code.
I've been building a collaborative docs tool called Docules. The short version: it's a team documentation tool that doesn't have any embedded AI features. I use Claude Code daily, but putting LLMs into every workflow and charging for it is kinda insane. Every docs tool is adding AI auto-complete, AI summaries, "generate a page" buttons. Docules has an API and an MCP server instead, so you connect whatever AI tools you actually want to use. The core product focuses on being a fast, solid docs tool. Real-time collab, fast — no embedded databases or heavy view abstractions, hierarchical docs, drag-and-drop, semantic search, comments, version history, public sharing, SSO, RBAC, audit logs, webhooks, etc.
The stack is React, Hono, PostgreSQL, WebSockets. The MCP server is a separate package that exposes search, document CRUD, and comments — so Claude/ChatGPT can work with your docs without us reimplementing a worse version of what they already do. Happy to talk architecture or the MCP integration.
I'm never clear if this Ask HN is for posting about what you're messing with or for promoting organized projects that chase github stars or are commercial.
But anyway, I've started to learn Go. By doing a vertical scrolling shooter with embiten. Kinda like fitting a square peg into a round hole. No, it's not public and will probably never be.
Studying how do do a memory pool for actors, since it doesn't look like garbage collection and hundreds of short lived bullet objects will mix well.
https://getvalara.com - PDF appraisal document in, grounded appraisal review out in 5-10 minutes to aid in risk management for lending institutions and individual appraisal reviewers.
We use landing.ai to parse the PDF, as well as useworkflow.dev to durably perform other work such as rendering PDF pages for citations, and coordinating a few lightweight agents and deterministic checks that flag for inconsistencies, rule violations, bias, verify appraiser credentials, etc. etc. Everything is grounded in the input document so it makes it pretty fast and easy. We’re going to market soon and have an approval sign up gate currently. Plenty of new features and more rigorous checks planned to bring us to and exceed parity with competition and human reviewers.
There’s plenty of margin for cost and latency versus manual human review, which takes an hour or more and costs $100 or more.
Cakedesk: Fast & simple invoicing app for small businesses (Windows & Mac).
Been working on this for about 4 years. It has some cool features, like letting you create your own PDF templates with HTML/CSS. Most users love that it's so simple and just a one-time purchase.
Currently thinking about how to implement an Obsidian-style cloud sync feature since that gets requested a lot.
I’m working on VineWall (https://vinewallapp.com), a network tunnel that helps you fight doomscrolling by making your internet slower when it detects you spent too much time scrolling.
At this moment I’m working on improving the logic that decides when/how much to throttle the network.
I am working on a P2P VPN app that lets you use a friend abroad as your VPN provider with no special setup: https://spora.to
It's mainly for censorship evasion (should be much harder to block than the regular centralized VPNs), but also for expats to access geo-blocked domestic services.
It's at the MVP stage and honestly it evoked much less interest in people than I hoped it would, but I'm still going on despite my better judgement.
An LLM observability SDK that let's you store pre and post request metadata with every call in as lightweight an SDK as possible.
Stores to S3 in batched JSON files, so can easily plug into existing tooling like DuckDB for analysis.
It's designed to answer questions like; "how do different user tiers of my services rate this two different models and three different systems prompts?". You can capture all the information required to answer this in the SDK and do some queries over the data to get the answers.
A music livecoding app[0], it's open-source[1] and it's been in the works for years in various iterations, but I've finally settled on the format and delivery. I'm now trying to make it as newbie friendly as possible by doing tutorials[2] and videos[3] and having ready-made instruments[4] to begin with. Thinking also to expand it as a general purpose creative editor in a standalone electron app and bundle in other livecoding languages as well, for graphics also.
StoryStarling. You describe a story idea and it generates a fully illustrated children's book, then we print and ship it.
Not templates with names swapped in. Every story and illustration is made from scratch. You can go from "dinosaurs soccer" or write out a whole storyline. Pick an art style, optionally upload reference photos of your kid, and it builds a 28 page book in a few minutes.
Bilingual in 38 languages. We handle RTL (Arabic, Hebrew), CJK, and less common languages like Estonian, Maltese, Irish where there's not much available for kids.
Tech side for the curious: LangGraph orchestrates the pipeline, Celery workers do image generation and text rendering in parallel, and LLMs critique the illustrations for consistency mistakes and can trigger regenerations automatically.
Printed in Germany, booklet around 20 EUR, hardcover around 40 EUR.
I'm porting Jetpack Compose to Rust. The Rust would be the future default ai language. Having the familiar well designed by Google UI API will help Android developers to be in a loop.
https://github.com/samoylenkodmitry/Cranpose
I've been building https://lan.events. It's been built entirely with an LLM as I've been learning more concepts behind agentic engineering for reliable development with an LLM. The primary reason I built it is because LANs are disappearing and they were a formative part of my childhood. They were a way to connect with people that I knew from all over the world. I still have some lasting friendships from the big and small LANs I went to as a kid. LANs are free for 50 and under so please sign up and if you have feedback, send it through the support system!
I love the idea and am working on something similar around getting more IRL events out in the world with https://onthe.town
I do wonder if the problem is not so much having a place to find LAN events but actually just having enough people put on LAN events in the first place. It feels like a thing of the past with how much less people interact in person these days. It's a shame because LANs are awesome!
Have you thought about ways to make it easier for people to host LAN events? Or does this solve that as well? I guess a solution would require matching random people together. Happy to discuss more - nick at onthe.town
I’ve been iterating on nights and weekends on a hackers news like website that sources all content from engineering blogs (both personal and company blogs). I have about 600 of the total 3k rss feeds I’ve collected over time loaded up, just tweaking things as I go before dropping the whole list in there: https://engineered.at
Also used the new Navigation API (and some Shadow DOM) to build a cheap, custom client-side rendering (sort of) into my site (https://taro.codes), and some other minor refactors and cleanup (finally migrated away from Sass to just native CSS, improved encapsulation of some things with Shadow roots, etc).
I've been wanting to write a simple AI agent with JS and Ollama just for fun and learning, but haven't started, yet...
I was exploring a spec development system (similar to the likes of openspec) but with specifications that are more succinct. One of my frustration with openspec is the number of files that are generated from the proposal, to the design and implementation.
I'm rewriting a shipping app, that is just over two years old.
This is a "full rewrite," because I need to migrate away from my previous server, which was developed as a high-security, general-purpose application server, and is way overkill for this app.
Migration is likely to take a couple more years, but this is a big first step.
I've rewritten the server, to present a much smaller API. Unfortunately, I'm not yet ready to change the server SQL schema yet, so "behind the curtain" is still pretty hairy. Once the new API and client app are stable, I'll look at the SQL schema. The whole deal is to not interfere with the many users of the app.
I should note that I never would have tried this, without the help of an LLM. It has been invaluable. The development speed is pretty crazy.
Still a lot of work ahead, but the server is done, and I'm a good part of the way through the client communication SDK.
I'm building out https://measuretocut.com, which started as a tool for myself to help with planning board cuts (and now sheet cuts). It calculates how much material you need for your project and gives you a plan for the materials and shows all the cuts you need to make and where to make them.
First release was in December for 1D cuts. Last month I released sheet cutting for 2D cut calculation. It's been working well for my own projects and it started getting consistent daily users since my last update in February. You can save projects now on the site for you to come back to later.
Any feedback is welcome. I'm always looking for what features to add next.
I wrote this little web app over the weekend, the idea was to make you think about your next purchase by introducing a 48 hour countdown. In 48 hours you come back and decide if you really need this product, or if it was just an impulse buy.
A hobby project I started putting together late last year; a little spot on the internet for prayer and reflection. I've just shipped a small feature where you get a Bible reading (KJ only for now) in response to a prayer.
A pro bono tech consultancy for local (Stavanger, Norway) non profits. The idea is to help them use tech to better deliver on their mission. Last week I built a little bookmarklet for a non-profit to surface some of their data buried in a SaaS tool ... which will make their apple pressing operation easier.
Have been building a project https://github.com/openrundev/openrun/ which aims to make it easy for teams to easily deploy internal tools/webapps. While creating new apps has gotten easier, securely deploying them across teams remains a challenge. OpenRun runs as a proxy which adds SAML/OAuth based auth with RBAC. OpenRun deploys containerized apps to a single machine with Docker or onto Kubernetes.
Currently adding support for exposing Postgres schemas for each app to use. The goal is that with a shared Postgres instance, each app should be able to either get a dedicated schema or get limited/full access to another app's schema, with row level security rules being supported.
Since last time, added a "landing-page" kind of website [0], added annotations with BGP events, support for IPv6, and finishing TLS for every communication between probes and central servers.
About to open for beta testers, and still very much interested in comments esp. regarding the UI.
Atomically precise manufacturing. We are perfecting a method for 3D printing silicon & diamond atom-by-atom, with every atom bonded where you want it. At small scales this gets us precise nanophotonic and quantum devices with precisely placed defect centers in silicon. As we scale, we will bootstrap full molecular nanotechnology including replicative scale-up to industrial levels.
I've been working on a surfing game on my spare time for the past year. The idea is to keep it closer to the real sport, focusing on pumping, carving, nose-riding, etc. I shared a video of it on the Unity3D subreddit[1] and the feedback was quite positive, so planning on getting a demo ready as soon as possible!
To reverse engineer old C64 games using Coding Agents, I built a CLI and MCP flow disassembly tool. The agent can search the disassembly, provide annotations, manage symbols, and reinterpret code and data.
Hoopi Pedal: A 2-channel digital effects + recording pedal, based on the Daisy Seed and the ESP32 [1]. PCB design, embedded firmware, DSP and Flutter app - all are mine. Some technical notes on firmware (OTA updates, etc.) and Flutter app dev (using native methods for vidoe-audio sync, auto cross-correlation, etc.) are published on my blog [2].
I’m building an application for documenting modular patches, mostly for my own use case. It uses ML to recognise the patch points, knobs and toggles from a photo of the front panel. You can then build racks from the scanned modules and then store presets of the knobs and connections which are displayed as simple schematics. Idea is ultimately to have it on an iPad as reference to accompany a live performance. Had some fun fine tuning the cable physics engine.
It was inspired by tamagotchis of yesteryear (and my two cats). It uses a small common monochrome SSD1306 display with 128x64 pixels of resolution.
All of the pixel art is my own. And the cat features a bunch of different animated poses and behaviors, as well as different environments. And there are minigames (a chrome dino clone - but with a cat!, a breakout clone, a random maze generator, a tic-tac-toe game, and I plan to add more.)
I'm currently working on tweaking the stats so that they go up and down over time in a realistic way and encourage the player to feed and interact with the pet to keep stats from going too low. Then I plan on adding some wireless features, like having the pet scan WiFi names to determine if its home or traveling, or using ESP-NOW to let pets communicate with each other when they're nearby.
I made a reddit post with a video of it a few weeks ago [1] and have various prototypes of artwork for these little screens on my blog [2].
Building ConvoLens [1] - app to explore the content of video interviews from YouTube channels I like (such as Dwarkesh Patel's): research by keyword, RAG, visualization of discussed topics with a 2D projection, semantic graph, and the possibility to generate a new video or audio from a playlist of video segments.
Supports only YouTube as the data source, and Gemini 3.1 Flash Lite for processing, but it can easily be tweaked. Runs locally with Docker compose.
A few years ago it started as colorguesser.com - which is not much maintained, but since there are many new users enjoying this small game, I decide to invest more time and add more feature.
A solo gamedev project; upgrading my free Skyrim mods; thinking about learning vibe-coding for the little "web 2.0" side-project idea of old, seems could be fun to squeeze it in.
I've been working on an AI workspace inside Neovim (and using the editor as the TUI). When I started, I asked myself, "Wait, WHAT?! Another one? Who would use this?" However the goal was never about eyes (well, GH stars) on this new thing, it was about learning.
I wanted to dig deeper into how modern-day tools work so I can understand the sort of 'magic' I was experiencing using tools like Claude Code. The more I've been working on this side project, the more I understand about AI systems, agent loops, prompt engineering and all the cleverness that goes into making a good, usable, magical AI agent.
Also moving to Sveltia as my CMS (Astro markdown blog), after exploring multiple other options. Changed the structure of my Obsidian vault, will write about that also.
I have been using AI workflows at work to increase the productvity. I have shared these workflows internally and at a couple of tech meetups I went to. I got positive response.
* Remote viewing stock market trading programs - One version is with a buddy who shows me a colored board depending on the outcome for the week. The other is a solo version using a Swift app on Mac. We're just out of buggy beta (the analog version was laughably more difficult to get clean. We'll see if either works and which one wins.
* Telephone handset for my mobile phone with side talk.
* First draft of a book / workbook on Work Flow. Outcrop of the work flow consulting I do, stuff I've learned, and so on.
* Short film script - trying to convince a local actor to play the lead before we lose the rainy season here - otherwise we'll need special effects or just wait until the fall.
* Polishing firmware, OSX, and iOS suite for a wearable neuromodulator unit. Deadline in a week!
* Nmemonic community and app - been poking at this for years and finally had a breakthrough on the UI. My first app to release in the wild, so pretty exciting.
Finishing up the last touches to release: https://getkatari.app/ my japanese immersion app
Also working on https://www.kinoko.sh/. An agentic engineering platform built from the ground up for agents. Custom language and architecture and a layer of formal verification on top. Also working on a custom inference engine that produces well typed programs
I'm working on a hobby project named Belisarius that allows you to manage multiple repositories simultaneously by executing common commands and operations.
I've been slowly hacking on game ideas on and off for the better part of a decade and I've finally switched tracks and trying to seriously build something full time
I've given myself 6 months
It's a bit scary basically 180ing like this but I figure if I don't try it now I never will
I've already started prototyping various ideas, and to be honest just sitting down and spending time doing this has been really quite lovely
One thing I'm finding fun is slowly unearthing what I actually find interesting
I started with messing around in minecraft and tinkering with rimworld-like game ideas, but I'm slowly moving away from them as I've been tinkering more and more
Don't get me wrong, I do want to revisit them at some point in the future, but I do find myself circling more around narrative, simulations and zachlikes
It's a bit of an odd mix and in some ways they look like paradox style games, but I'm well aware that taking one of those behemoths on is going to be a bit silly, so I'm trying to slim down until I get to a kernel that I actually find enjoyable tinkering with
A toy if you will
Currently I'm trying to work out if there's anything interesting in custom unit design, basically unpicking how games like rollercoaster tycoon's coaster design maps to stats like excitement ratings and seeing how that might mix with old school point buy systems
It feels like it might be small enough to be a good toy and I'm having fun tinkering with it, but I have no idea whether other people will xD
It might honestly be too niche for anyone and I've successfully optimised for an audience of one :shrug:
Coffee Roaster Aggregation ETL using fastapi, nextjs, bs4 etc etc. It's been fun, just finished up the oauth for discord that pairs nicely with the info required to make Discord dm notifications function. attempting to charge 6$ for the instant notifications, but doubt many people will be interested. up to 75 roasters and all of them are checked every 10 mins for new products.
Considering reusing the repo as a framework for other industries if this project ever gains any traction.
Also was considering adding a goofy rag discord bot to the server just because i love tossing in a rag layer everywhere lately, and feel like i fall a bit short on my filters for stuff like origin/flavor notes and all that junk. Semantic search with solid chunk strategies might create a better solution than if i did get all the filters working as well as possible.
I've been building a collaborative docs tool called Docules. The short version: it's a team documentation tool that doesn't have any embedded AI features. I use Claude code daily, but putting LLM’s into every workflow and charging for it is kinda insane. Every docs tool is adding AI auto-complete, AI summaries, "generate a page" buttons. Docules has an open API and ships an MCP server, so it connects to whatever you want to use LLM-wise. They can read, search, create, and edit documents through the API. The core product is just a docs tool that tries to be good at being a docs tool:
- Real-time collab with live cursors
- Fast — no embedded databases or heavy view abstractions slowing things down
- Hierarchical docs, drag-and-drop, semantic search
- Comments, version history, public sharing
- SSO, RBAC, audit logs, webhooks
Stack is React, Hono, PostgreSQL, WebSockets. The MCP server is a separate package so it's not coupled to the main app. I keep seeing docs tools bolt on half-baked AI features and call it innovation. I'd rather build a solid foundation and let you plug in whatever AI workflow actually makes sense for your team. Happy to answer questions about the architecture or the MCP integration.
A campaign management tool for automated contact form outreach. It helps users manage websites, detect contact pages and forms, and fill them automatically using LLM-powered field matching.
Screenleash.com: A personal project that deducts money from my bank if I spend more than the allocated time on specific websites. I have already spent around $60, but it has definitely reduced the time I spend playing Smashkarts and on Instagram.
Yes, I got addicted to playing Smashkarts (over 2 hours/day). Now it is capped at 30 minutes.
A browser extension to add a table of content widget into the chatbot pages (claude/Grok/Chatgpt). Making long conversation easier to navigate. Mainly used on firefox. Not tested on chrome
I'm working on "context bonsai" which is currently a plugin for OpenCode that allows the LLM to self-edit its own context. It works like compaction, but it can retrieve back the compacted info if needed. And it's not just when the context is completely full, and it doesn't compact the entire context - it picks messages / tool calls where the details are no longer necessary, like a debugging session that is already solved or feature implementation that is complete and you've started on implementing the next feature.
I've also used tweakcc to make this work in Calude Code and plan to also do one for open source coding agents - codex, pi, Gemini, etc. And I'm also doing Livestreams of the development process.
* https://sprout.vision/ - AI generated Go-To-Market Strategy for launching your next venture. I have a Tech background with limited GTM experience, so I experimented with AI to learn about different strategies and decided to turn it into a simple product that will generate a comprehensive plan (500+ pages) to help you launch your next venture. Try it out, would love to hear your feedback, use the HN50 promo code for 50% off your order.
* https://pubdb.com/ - Reviving a 10 year old project, it’s meant to make research publications more accessible to mere mortals with the help of AI. I have lots of ideas I want to try out here but haven’t gotten around to it yet. Currently focused on nailing down the basics with an OCR indexing pipeline and generating AI summaries.
inspired by the karpathy/twitter posts on running (semi) autonomous research loops, I build https://github.com/tnguyen21/labrat to be able to try and replicate some paper results over night. still early stages but I'm getting some use out of it already.
also spending a lot of time thinking about how you "close the loop" on software projects. right now figuring out how you can combine static analysis + review heuristics to let LLMs course correct the codebase when they over-engineer or produced unwieldy abstractions.
I've been working on an app to track my son's 1000 books before kindergarten. I've also added QOL features like barcode scanning for adding books to the library and creating a rotation based on the last time the book was read and whether I actually enjoy reading it. (The books I don't like make it through the rotation just with less frequency.)
This was an excuse to ship a mobile app for the first time and get familiar with supabase.
After these last few bugs are fixed, its ready for a semi-public TestFlight with our friends who have kids.
A bunch of ideas that have had domains but never enough engineers. Now there isn't enough time it seems except when I've hit my LLM subscription limits and they need to cool down.
Already launched biz-in-a-box.org and a life-in-a-box.org spinoff as frameworks to replace every entity's QuickBooks. I'm using them myself for every project my agents are spinning up.
Stealth project is related to classpass but for another category of need that won't go away even in the age of AI that really is only possible with critical mass of supply to meet existing demand. Super excited cus there's no better time to build with unlimited agents that scale without people problems.
Lastly, can't wait to run local LLMs so no longer limited by tokens/money.
It's gone a long way to solve the "review" bottleneck people have been experiencing (though admittedly it doesn't fix all of it), and I'm in the process of adding support for Mac and Windows (WSL for now, native some other time).
Some of the features I've had for a while, like multi-project agent worktrees, have been added as a part of the Codex App, so it's good to see that this practice is proliferating because it makes it so much easier to manage the clusterf** that is managing 20+ agents at once without it.
I'm feeling the itch to have this working on mobile as well so I might prioritize that, and I'm planning to have a meta-agent that can talk to Tenex over some kind of API via tool calls so you can say things like "In project 2, spawn 5 agents, 2 codex, 2 claude, 1 kimi, use 5.2 and 5.4 for codex, use Opus for the claudes, and once kimi is finished launch 10 review agents on its code".
Multitrack field recorder with automatic cloud sync for iPhone. I use it for hi-fi recording of band practice and sharing demos with bandmates/collaborators. Great way to send stems too as it runs on the Mac as well and has a built in mixer. There's a social graph so you can send someone a session by typing in their handle and granting access.
I’ve been training an alphazero style model for an abstract strategy game I created 20 years ago. It’s been really fun learning about MCTS and figuring out how to optimize all parts of the pipeline to be able to train on ~millions of moves for ~hundreds of dollars.
This weekend I spent a lot of time on an Agent Registry idea I wanted to try out. The basic idea is that you put your Agent code in a Docker image, run the container with a few specific labels, and the system detects the Container coming online, grabs the AgentCard, and stores it in the Registry. The Registry then has (in the current version) a REST interface for searching Agents and performing other operations.
But once all the low level operations are done, my plan is to implement an A2A Agent as the sole Agent listed in the AgentCard at $SERVER_ROOT/.well-known/agent-card.json, which is itself an "AgentListerAgent". So you can send messages to that Agent to receive details about all the registered Agents. Keeps everything pure A2A and works around the point that (at least in the current version) A2A doesn't have any direct support for the notion of putting multiple Agents on the same server (without using different ports). There are proposals out there to modify the spec to support that kind of scenario directly, but for my money, just having an AgentListerAgent as the "root" Agent should work fine.
Next steps will include automatically defining routes in a proxy server (APISIX?) to route traffic to the Agent container. And I think I'll probably add support for Agents beyond just A2A based Agents.
And of course the basic idea could be extended to all sorts of scenarios. Also, right now this is all based on Docker, using the Docker system events mechanism, but I think I'll want to support Kubernetes as well. So plenty of work to do...
Training a tiny LLM for fun using Rust/Candle - I constantly tweak stuff and keep track of results in a spreadsheet and work on generating a bigger corpus with LLMs. It's a project for fun, so I don't care about finding actual human generated text, I'd rather craft data in the format I want using LLMs - Probably not the best practice, but I can sleep properly despite doing that.
My favorite output so far is that I asked it what life was and in a random stroke of genius, it answered plainly: "It is.".
It's able to answer simple questions where the answer is in the question with up to 75% accuracy. Example success: 'The car was red. Q: What was red? ' |> 'the car' - Example failure: 'The stars twinkled at night. Q: What twinkled at night? ' |> 'the night'.
So nothing crazy, but I'm learning and having fun. My current corpus is ~17mb of stories, generated encyclopedia content, json examples, etc. JSON content is new from this weekend and the model is pretty bad at it so far, but I'm curious to see if I can get it somewhere interesting in the next few weeks.
* https://stacknaut.com — Stacknaut, SaaS starter kit to build on a solid foundation with AI, includes provisioning on Hetzner, deployment with Kamal 2 and dev with coding agents
It's a collection of 40 (and growing) tools for text processing, data cleaning, conversions, dev utils etc. Everything runs in the browser and is completely free.
Started this partly to learn SEO from scratch on a fresh domain, partly because i am lazy with regards to doing basic data cleaning using pandas and i found myself repeatedly using similar online tools that are completely riddled with ads.
I built this using Flask + Vanilla JS. I don't think there was any need to overcomplicate it. And for fun, i vibe coded a windows 95 desktop mode where all the tools open as draggable windows. https://textkit.dev/desktop
Downloaded and parsed a bunch of the pgsql-hackers mailing list. Right now it’s just a pretty basic alternative display, but I have some ideas I want to explore around hybrid search and a few other things. The official site for the mailing list has a pretty clean thread display but the search features are basic so I’m trying to see how I can improve on that.
icloudpd-rs - Fast iCloud Photos downloader, Rust alternative to icloudpd
The original Python icloudpd is looking for a new maintainer. I’ve been building a ground-up Rust replacement with parallel downloads, SQLite state tracking, and resumable transfers. 5x faster downloads in benchmarks, single binary, Docker and Homebrew ready.
Hosting and nicely typesetting some of the essays/speeches of Alfred North Whitehead on education and the role of Universities, now in the public domain. Most are from Project Gutenberg, but I've been manually transcribing a couple others.
I'm building open source homebrewing (as in beer) software at https://www.brewdio.beer. It's something I've poked at periodically for a few years but now I'm using AI to see how far I can take it.
It has a few core libraries built in rust with a web app and a terminal UI. Android app is in the works. The persistence layer is intended to be offline first using a CRDT with an optional sync server. I'm also trying to integrate "bring your own AI" assistants to help tweak recipes or make suggestions.
It's been a fun way to sharpen my claude skills but also to see how feasible it is to maintain multiple frontend applications with a large amount of shared code. Still a lot to do, particularly the core calculations are not yet on par with existing offerings.
EasyAnalytica.com
It lets you view all your dashboards in one place. Dashboard creation is a 3 step away, point to a file, confirm ds, choose template and done. Supports csv/json files, locl/remote url, Google sheets and api's with bearer auth.
i have also started experimenting with qwen3.5 0.8B model, my goal is to create agents with small models that are as robust as their commercial counterparts for specialized tasks. currently trying it for file editing.
I originally made it a couple of years ago as a small proof of concept. A couple of weeks ago I started it over and have been using it as a project to work with Claude and learn approaches to coding with AI.
Just launched DriftE — it's a in-depth Cloud discovery platform that fixes unmanaged "ghost" resources, configuration differences and manual cloud changes for enforcing your IaC.
Our family is enjoying Flip7 card game lately and was playing almost every day. Created an app to make it more fun and engaging by creating an app to manage the daily score and to make it a weekly, monthly competition for leaderboard. https://flip7battle.com/. Only available in apple store for now. It was fun to create and use this app.
Proving the infamous FTP guy from the original Dropbox HN thread right: you can now access your Dropbox over FTPS, SFTP, S3, or MCP. And not just Dropbox, it works with every storage backend out there: https://github.com/mickael-kerjean/filestash
A 16×16 multiplication table that encodes quoting, evaluation, branching, recursion, an 8-state counter, and IO — all as lookups in the same table. 83 Lean theorems, zero sorry.
The project asks: can a finite algebra with a single binary operation be forced by axioms to contain its own representation layer? The answer is yes. Axiom-driven SAT search finds the constraints, Lean verifies the witness.
I should be upfront: Claude wrote most of the Lean proofs and Z3 search scripts. My role was the ontological framework, the axiom design, and deciding what to search for and why. The AI-human split was roughly: I provided the "what should exist and why," Claude provided the "here's the code that proves/finds it." Every Lean theorem compiles independently regardless of who typed it.
Universal results (hold for all satisfying algebras, not just this table): every model is rigid, judgment and synthesis provably cannot commute, and the tester's acceptance partition carries irreducible information that structure alone can't determine.
The specific table fits in 256 bytes and can be recovered from a shuffled black-box oracle in 62 probes.
https://github.com/stefanopalmieri/Kamea
I've been writing interactive math and computer science articles at https://growingswe.com/blog. The past few months, I have been obsessed with interactive learning experiences and currently building https://math.growingswe.com for learning probability.
I really like https://math.growingswe.com nice job! I did the foundations page. I will work through some more lessons and give you some feedback later this week. I am also working on some math projects. Take a look at my other comment in this Ask HN.
Built a last-mile delivery/logistics management system to power deliveries for on-demand/hyperlocal services and launched it last year (mentioned it in another one of these threads last year)
To date it's handled more than 70k orders, ingested nearly 10m telemetry records, has been extremely reliable, is almost entirely self-contained (including the routing stack so no expensive mapping dependencies) and is very efficient on system resources.
It handles everything from real-time driver tracking, public order tracking links, finding suitable drivers for orders, batch push notifications for automatic order assignment, etc.
I've been on sabbatical (not on leave from anywhere, just decided to take a break from work) for months now, taking some time for myself. Minimal tech stuff until more recently, but now I'm back in the deep end.
The main thing I'm currently working on is a platform for organizing and discovering in-person events. Still not certain about the boundaries for "Phase 1", but I have a bunch of ideas in that space that I've been incubating for a while. One subset of features will be roughly similar to that app you've probably heard of that starts with 'M' and ends with 'p', but hopefully an improvement, at least for the right audience. But wait, there's more. :)
Currently building it; it's not public yet, so no link. Next month.
Thinking about how to grow the userbase is intimidating, but I think it might end up being fun.
When I discovered that some local llama.cpp can OCR PDF images generated by TeX, I started to revisit literate programming defined by Donald Knuth and explore using PDF as the source of truth artifact (instead of Markdown or program source code itself) for LLM to consume.
I only got to the point of having code and data as \verbatim in \LaTeX. Next step is CWEB.
Here is an example (with C and Rust code in \verbatim)
I wanted a real native app (iOS/macOS) as a client for my agents and to be able to truly control / mange them from it. So, think Claude Code remote but not just Claude and a proper native app. Or the Codex app but actually native.
The server is a rust binary so you can toss it on any container/computer and connect to it in the app.
My philosophy isn't to replace my other tools I love like emacs, ghostty, etc. But I am taking a stab at "real time code review" and have some crummy magit-like code review built in that I need to revisit.
I am working on making product managers more aware about what kind of personality they are. I have seen there are couple of tests but those are not the ones that will put people into the actual work of Product Management.
I’m building an observability system that tries to surface answers instead of making people dig through huge amounts of raw telemetry.
The basic idea is that when one failure fans out across 20 services, you often end up with 20 alerts and 20 separate investigations, even though there is really just one root cause. I’m using distributed tracing to build a live model of how errors propagate through the system, and then exposing that context directly at each affected service.
Longer term, I want this to become a very high-precision RCA engine. Right now I’m looking to try it with a few early design partners that already have a lot of tracing data, especially OpenTelemetry or Datadog APM users. I'll love to chat with some folks who would be willing to try it out!
I'm photographing wildflowers so much that I made a tool called Wildflower Witness to group the images into time series. I'm debating if I want to allow the user to create each flower in their collection or try to do it totally automatically. Also I've been using it already and I'm sad to say a ground squirrel ate one of my specimens.
Lately I’ve been spending a lot of time transitioning from tech into urbanism and working on a few projects I care deeply about.
- Urbanism Now - I run https://urbanismnow.com, a weekly newsletter highlighting positive urbanism stories from around the world. It’s been exciting to see it grow and build an audience. I'm thinking of adding a jobs board soon that'll be built in astro.
- Open Library - I’ve been helping the Internet Archive migrate Open Library from web.py to FastAPI, improving performance and making the codebase easier for new contributors to work with.
- Publishing project - I’m also working on a book with Lab of Thought as the publisher, which has been a great opportunity to spend more time working with Typst.
These projects sit at the intersection of technology, cities, and knowledge sharing, exactly where I’m hoping to focus more of my time going forward.
We are developing a single-passenger autonomous vehicle, capable of traveling over 1000 miles, performing fully automated vertical takeoff, cruise, and landing.
Full encryption for notes (uses local encryption before you even sent the note to the server).
I wanted a mixture of Github Gists (sans Git) and 1Password shares so I've been using it eitj great success at my current company to share snippets and private stuff.
Might open source in the future, just need to gauge interest.
I've been reworking my blog to have a table of contents per article, clean CSS (something that actually looks nice and no longer relies on Bootstrap) and a few other nice things. Also taking the opportunity to fix minor errors in previous posts.
Aside from that, I need to document and properly release one of the pieces that PAPER is relying on (some generic tree-processing code that makes operations on directory trees a lot nicer than with the standard library "walk"s), and work on others (in particular, a "bytecode archive" format for Python that speeds up imports for some projects, mainly by avoiding filesystem work at import time — I want to offer it as an install-time option in PAPER, and later have `bbbb` make wheels with the bytecode precompiled that way).
I'm teaching a class in agent development at a university. First assignment is in and I'm writing a human-in-the-loop grader for my TAs to use that's built on top of Claude Agent SDK.
Phase 1: Download the student's code from their submitted github repo URL and run a series of extractions defined as skills. Did they include a README.md? What few-shot examples they provided in their prompt? Save all of it to a JSON blob.
Phase 2: Generate a series of probe queries for their agent based on it's system prompt and run the agent locally testing it with the probes. Save the queries and results to the JSON blob.
Phase 3: For anything subjective, surface the extraction/results to the grader (TA), ask them to grade them 1-5.
The final rubric is 50% objective and 50% subjective but it's all driven by the agent.
And the biggest update is coming soon, DB Pro Cloud, which will let you connect to and manage any database through your browser as well as collaborate with your team.
I am working on https://yakki.ai, a Mac dictation app. I have started expanding what the users can do with it, for the moment you can record your meetings and get insights and notes. I am considering where to take it from here! competition is fierce, so I am focusing on making it better and to serve specific users that provide feedback.
If everything is local, why the subscription? That 150 is instant incentive for me to prompt my own on Claude and get a more personal outcome right away. Margin comes from a moat, and local LLM is the opposite of that, especially if you need internet to verify subscription for local use at any point.
I've written and I'm now polishing and refining a tool for on-set data management for small to medium scale productions. I do Data Wrangling on the side and one of the hardest things to do is keep track of drives, backup jobs, and link them all together whilst knowing where everything is stored, who has what, how much data you have left, how much data you're going to use on the next scene given it's filmed on camera X using Y settings, and so on.
It's written in Golang and acts as a simple desktop app that creates a web server and then opens the site in your default browser. This way it's easily multi-platform and can also be hosted as a SaaS for larger production houses.
I had been doing lots of time-based work for a blog post and ended up annoyed that so many clocks around me were visually out of sync. Especially my microwave and oven clocks. Using the tool I got them synced up beyond what I could perceive.
I'm working on Rauversion https://github.com/rauversion/rauversion, an open platform for independent music communities that combines music publishing, events, and marketplace tools in a single place. Artists can upload tracks, albums, and playlists with metadata, audio processing (waveforms, analysis), and embeddable players with chunk-range loading to save bandwidth. It also includes ticketing for events (QR validation, Stripe payouts), streaming integrations (Twitch, Zoom, etc.), a magazine system for publishing articles, and a marketplace to sell music (digital or physical), gear, merch, and services. The goal is to give underground scenes a self-hosted infrastructure for releasing music, organizing events, and sustaining their communities.
Agents can search for design inspiration from production websites using semantic search. Since this inspiration comes from live websites, their design tokens; colors, typography usage, layout data are also available.
Five months into building product analytics for conversational AI. Started by targeting vibe coding tools like Lovable but realized most of them don't care about user experience yet. With monthly churn over 50%, they focus on acquisition, not retention.
Now shifting to established SaaS companies adding AI assistants to their existing products. Some of them literally have people reading chats full time, so they actually value the experience.
Building https://lenzy.ai - 2 paid customers, 2 pilots, looking for more and figuring out positioning.
Creating my own models in Blender for 3D printing. Currently creating replacement wings for a hummingbird whirligig yard decoration that broke a couple years ago. It’s a sentimental gift and I’ve hated the idea of throwing it away.
Physical engineering is a huge welcome transition for me from what coding has become in the last couple years.
There’s something nice about the realities of creating a model, then printing it, then seeing that exact is too exact, then reprinting, then eight more times, and then that feeling when it all comes together properly.
A few weeks ago I was working on an adapter for an airbrush to use on a standard pancake air compressor. Learning to create threads in blender was really neat! I learned a lot about the physical construction of threads, something I have never put much thought into before.
There is something so wildly cool about having an idea, modeling it, and a few hours later holding a physical instantiation of the thing that previously just existed in your head. Something we software people don't get to experience often enough.
Can you share details about Blender CAD/CAM capabilities? I have a CNC router (carves 3D shapes into wood), and exploring what tools can help with that. I keep hearing about Blender's CAD abilities - I don't know Blender well, so I haven't jumped in there...
For about a year I've been working on Mu - an app for everything without ads, algorithms or exploits. https://mu.xyz
Blog, news, chat, video, mail, web. Basically all the daily habits as little micro apps in one thing. I find it quite useful. Not sure anyone else does yet though.
Also separately worked on Reminder.dev which is a Quran app and API that bakes in LLM based search and motivational reminders.
I am working on creating an Even Driven Architecture framework for Kotlin.
I went through the Software Architecture Patterns for Serverless Systems book, which I think it is fantastic. I learned a lot but I still had a lot of doubts to actually use the ideas in real life. So I started dissecting the companion framework, which is in written in Typescript. I have been going piece by piece and converting to Kotlin which I think it is more expressive (and fun) and it is allowing me to understand how everything fits together.
I'm working on JRECC, a Java remotely executing caching compiler.
It's designed to integrate with Maven projects, to bring in the benefits of tools like Gradle and Bazel, where local and remote builds and tests share the same cache, and builds and tests are distributed over many machines. Cache hits greatly speed up large project builds, while also making it more reliable, since you're not potentially getting flaky test failures in your otherwise identical builds.
I’ve been working on an open source tool that turns your Kubernetes into a Heroku like PaaS — https://canine.sh — for about two years
A problem that we had at my last startup was that we got stuck between not wanting to spend too much time on devops, and getting price gouged by Heroku.
We were too big for the deploy to a VPS type options like coolify, but too small to justify hiring a full time Devops.
Eventually a few of us had to just suck it up and learn Kubernetes properly. Was pleasantly surprised how elegant it all was.
I was surprised there wasn’t something that “just worked” and plugged into our Kubernetes cluster, made it user friendly, teams, roles, etc.
Testeranto - The AI powered BDD test framework for polyglot projects. There is a implementation now in ts, golang, rust, ruby, java and python. Add the language(s) that you need to your project and launch the server. Testeranto will run your BDD tests in docker and produce a set of results and logs. These logs, test results and your code are fed into an LLM, which fixes your tests for you. In essence, you write the tests and the LLM fills in the code.
AM3 - (Allied MasterComputer or Artificial Mind, version 3) - An attempt to make a symbolic AI that approaches the capacities of a LLM. An LLM makes variations on the same code and schedules those variations to play in "games". The results allow the LLM to make further changes.
I'm building SocialProof (socialproof.dev) — the simplest way for freelancers and small agencies to collect written testimonials from clients.
The problem I kept seeing: freelancers have happy clients but almost no testimonials on their site. Asking is awkward, clients say "sure!" and then never write anything.
SocialProof gives you one shareable link. Client clicks it, fills a short form (name, text, optional photo), you approve it, it embeds anywhere. No login required for the client.
The interesting technical bit: it's entirely on Cloudflare Workers + D1 + Pages. The collection form and embed widget are edge-served globally with no origin server. Been curious whether anyone else is building purely on Cloudflare's stack and what they've run into.
Still pre-revenue (just launched today). If you're a freelancer or run a small agency and have thoughts on how you currently handle testimonials, I'd genuinely love to hear it.
Making my own epub reader with the kitchen sink of features I'd like. It's a speed-reading app first and foremost, using RSVP (rapid serial visual presentation, one word at a time). Also answers questions about the book with an LLM without spoilers, and can create illustrations. I've been reading _Mercy of the Gods_ lately, which has vivid descriptions of a bunch of alien races, but the pictures have done a great job supplementing my imagination. I've read more books in the past month than the last year, but we'll see if I keep it up.
I’m working on a tool to automate manual document workflows, specifically for industries like manufacturing where accounting paperwork is still a manual burden.
The workflow: Upload doc → LLM extracts structured data → Generate new doc from template.
It’s API-first, includes webhooks, and is built to be self-hosted/self-provisioned for privacy. Still very much a WIP, but looking for feedback on the feature set and the extraction accuracy.
It’s a drop-in replacement for Redis written in Rust. Most if not all of your client code should work without issues. Outperforms in many areas and has more out of the box features like proto storage, raft/swim, and encryption at rest.
I’m pretty proud of it, and I hope you’ll give it a shot and open bug reports. :)
Got delayed on my 8th anniversary release of Video Hub App - hoping to get it out in March / April. I have some bug fixes and new features in my app for browsing and organizing video files across local and network drives.
Selecto, an elixir SQL query library that works with or without Ecto. Also SelectoComponents which gives you a web interface to build queries.
It is based on 20+ years of experience maintaining a similar system in Perl.
It's on Hex.pm already, looking for people to test and comment!
As Codex would say:
Selecto is an open-source SQL query builder for Elixir that helps you generate complex queries from clean, domain-based configs. It supports advanced joins, CTEs, subqueries, and analytics-friendly patterns, with companion packages for LiveView interfaces (selecto_components) and code generation (selecto_mix). If your app is data-heavy, Selecto gives you SQL-level power without brittle hand-written query strings.
I am working on a free node based solids modeller perfect for 3d printing, carpentry or hobbyists. Its roughly similar to Rhino/Grasshopper. I call it Nodillo!
Actually not built on this yet I think, but I could switch over, haven't made anything more of it since it's still a bit rough around the edges, and I keep finding various issues during actual usage: https://binschema.net/
We are building an agentic ad tech system optimized for real time and scale. The process of making an ad, from ideation to distribution, is traditionally exceptionally labor intensive. We are making it possible to target, design, and distribute ads at scale and in real time.
Personalized ads enable personalized lying by advertisers. Politicians in the 2016 election would target voters for party with enraging content while the other got shadow posts that lied to them about their candidate in a way that would not be seen, to discourage them from voting (Source: Careless People book).
I write quite a bit about books and papers I read. This ranges from contemporary work on privacy and machine learning to math, economics, and philosophy from the nineteenth century.
Several readers have asked for an easy way to get recommendations without working through long-form review articles.
Last week I wrote the spec for a couple of vanilla JS https://danielgormly.github.io/primavera-ui/dnd/ that I've handwritten in the past. I used the spec to vibecode them + a few follow-up correction prompts. Honestly the robot did a better job of implementation than I would have. Just can't compete with the speed.
Very early days but will keep updating them & adding more.
VITS is such a cool model (and paper), fast, minimal, trainable. Meta took it to extreme for about 1000 languges.
It seems like you have been working on this application for sometime, i will go through your code , but could you provide some context about upgradations/changes you have made, or some post describing your efforts.
Recommendations for local text-to-speech synth? Last year, played with Piper-TTS, Chatterbox, and some others. Ideally supporting English, Spanish, Chinese.
It has gained a little traction in Reddit and grateful for the several paying users currently giving me lots of feedback. One of the features is that you get to import your own font using any otf, ttf files. App is 100% native too written in SwiftUI, AppKit and UIKit.
I just wanted my own interpretation of an RSS Reader app, I have been a heavy user of both Reeder and NNW but the interface is just the same and I got bored a lot.
What's the long-term support plan for dead man's switch? What happens if for example you meet an untimely fate? It seems that you will need to support storing information on a years or decades time scale right off the bat.
I ask because I was recently thinking about how to preserve information for the future like this
If we were to die as a company (unlikely), we would reach out to customers well in advance (think >1 year) and ask them to download their data so they could migrate to another provider.
This seems unlikely, however, since our infrastructure costs for the dead man's switch are covered by just a handful of subscriptions. Besides, we host it next to our other more profitable main product, so it gets free maintenance.
We are up for the challenge of making this last for many decades, though. It is a beautiful mission.
Puzzleship - https://www.puzzleship.com/
It's a daily puzzles website focused on logic puzzles at this moment. I have about 90 subscribers, and it's online since Dec/25.
A project that I launched on HN that became a business. Simplescraper rode the no-code wave of a few years back ('instant structured data without parsing html').
Now working on increasing the surface area for AI agents: MCP support, screenshots API, and (experimentally) x402[1]
I’ve been working on the last months on Leggen (https://github.com/elisiariocouto/leggen), a self hosted personal banking account management system. It started out as a CLI that syncs your bank account transactions and balances, saves them in a sqlite database and can alert you via Telegram or Discord if a transaction matches a filter. It is now a PWA and uses Enable Banking to connect to the bank accounts (it is free for personal use AFAIK). Started hand-made, it is now mostly vibe coded with supervision.
I'm building ai saas web — the simplest way for user and small agencies to try LLM from lab.
The problem I kept seeing: site have happy clients but almost no evalution on their site. Asking is awkward, clients say "sure!" and then never give any feedback.
SocialProof (https://socialproof.dev) – a tool that helps service businesses collect written testimonials from happy clients via a shareable link.
The insight: the friction in getting testimonials isn't that clients don't want to help – it's that a blank "leave a review" box produces mediocre one-liners. SocialProof guides them through structured questions ("what was your situation before?" / "what changed?") so you get a compelling before/after narrative automatically.
Free tier: unlimited testimonials. Just launched and looking for feedback from anyone who deals with client testimonials.
Writing the release announcement for FreeBSD 14.4! The release is ready (aside from propagating to mirrors and clouds) but I have until 2026-03-10 00:00 UTC to get the announcement email ready to go out.
It makes connecting user domains to your app easy and reliable at any scale. Each Approximated user gets the own globally distributed, managed cluster of servers with its own dedicated IPv4 address. Includes (unlimited) edge rule features, DDoS protection, webhooks, and more. Make a simple API call, tell the user to point an A record at the IP, and it’s connected to your app with its own SSL certificates.
Built/building with elixir and phoenix, which has been fantastic.
Ive been running with this little ongoing project of making little nintendo ds games with rust.
I put together a pretty basic portal clone. I think its pretty cool to see it come together, animations, level creation, portal jumps.
The basic hardware on the ds makes 3d pretty approachable. Ive found opengl overwhelming in the past. It seems like a fun platform to make games on, but idk if there is any active ds homebrew communities. Anyway sharing because i thought it was cool, hard to find anyone that seems to be to interested. I thought about getting a 3ds but they are surprisingly expensive now
I've been working on a solution to automate solar+battery use to arbitrage the market. I'm on a real-time utility plan but even if you're on TOU it can save you $1+ per day by strategically planning when to use the battery and when to conserve or charge the battery. So far it's limited to a few providers and only FranklinWH batteries but I'm eagerly looking for someone to help me get Powerwall support working and other ESS. It's open-source on GitHub as well.
https://fitcal.app syncs Strava activities to your Google calendar. No fancy features, just does what it says on the tin. Really fun to build out with elixir + phoenix.
When training I like to have every day mapped out with how many miles to run, at what pace, etc as an event in my calendar. My actual workout gets uploaded into Garmin and Strava, but I always wanted it back in the calendar so I could see at a glance the consistency over time. It's been really fun to see other people use and get value out of something I built for myself.
It's nothing big. I wanted an offline natural language to cron/cron to natural language translator and I wanted to get some experience building MacOS apps. It's not vibe coded, but I did get good help from Claude since it's my first time building MacOS apps. It's free and no data is collected.
I went full TDD with the app so it was easy enough to build the logical parts of it. The UI is fairly simple, but whenever I found that Claude did not understand exactly what I wanted, I gave it a screenshot/image of a design and it did things pretty well.
And how is it going, in terms of finding those limit? It would be very interesting to hear about areas where the actual experience turned out to be wildly different from your expectations, in either direction.
I'm thinking about how to maximize the speed, bandwidth of collaboration with agents and teams to get to shared context as fast as possible. I think for the human, based on biology, its visual into to the human (out from agent) and voice out of the human (into the agent). Based on this, we are working on a local, agent-native workspace where you can collaborate with your coding agent visually in your sessions, markdown, mockups, code, tasks, etc... Called Nimbalyst. Would love feedback on it.
It's a personal project, but inspired by OpenClaw (which I find way overhyped), I am building an ambient intelligence layer for investment finance including a 3-tiered memory architecture, sensors (for environment scanning), skills, reasoning agents, and a new agentic UI concept only for that purpose.
There is a surprising amount of edge cases that can cause ChatGPT or others to misunderstand your pages. Some models can handle div based tables, some want alt tags but cannot understand title tags, etc.
I built the tool to check your site as close as possible to what a human would see and then compare it with LLM's.
It was a weird journey trying to tease this info out of the models, they will happily lie, skip checking sites or just make things up.
I've been building high-bandwidth memory streaming interfaces for HBM on VCK5000 & U280 FPGAs in my own language - "SUS".
The goal is to get consistent synthesis to 450MHz such that I can use a narrower 256-bit instead of a 512-bit interface, while maintaining full bandwidth. I've got it working at an FMax ranging 440-490MHz, though there's still some edge cases I need to hammer out.
I like finalfinalreallyfinaluntitleddocumentv3.com
Now you don't have to worry about getting domain names, you can version them all the way with the vX. The final boss can be finalfinalreallyfinaluntitleddocumentv3_final.com
So many things these days I just love being an engineer rn
- ai scheduling assistant
- polymarket trading bots
- ai assisted form filler
- games my 6 y/o dreams up
- openclaw workflows
- and countless hackathon-y projects at work that never would have seen the light of day without my best friend Claude
I’ve been working on an rss, atom, json feed reader app that strives to make it a simple as possible to isolate what articles are meaningful for you.
For now it uses UX patterns to make it easy to remove uninteresting articles and keeps a record of your read and saved articles. All locally of course.
I’d like to make it into something we can share quality content with one another eventually. For now I’m focusing on making it good enough my entourage will want to use it
An automated file system handler, similar to Hazel[1].
I want to treat my Downloads folder (or some other one) like an "Inbox" where I can just dump everything, and then the program knows where exactly in my (Johnny Decimal) file system the file should land.
I am working on a SSL certificate monitor. It comes with its own probe that can scan your private infra and collect the certs for monitoring. It also has a web interface for monitoring SSL certificate of any public domain. There are a few chinks here and there. Hope I can get it over by this month.
Deep link now ( https://Deeplinknow.com ) - deferred deep linking for developers / people who dont want their links blocked by adockers because Branch/Appsflyer et al are actually under-the-hood cross platform ad tracking services.
I do no tracking, no analytics, just help you cross the airgap between web and mobile app so you can send users to the right place (and track them however you deem necessary)
Nice — freelance ops tooling is a real pain point. The rates calculator is a good acquisition hook.
One thing I've noticed building in this space: freelancers are remarkably bad at collecting testimonials from clients (who usually love them!). The workflow ends after the invoice is paid and nobody ever goes back to ask for a written review. Worth thinking about whether that's a hook you could add — "invoice sent, client paid → automated ask for a testimonial."
I'm building something adjacent to that problem: socialproof.dev. Would be curious what your users say when you ask how they handle testimonials.
Following up the comment i made last month, I'm a solo dev building a handful of apps across different niches.
- Plask ( https://plask.dev ) — Google Analytics (GA4) connected analytics dashboard for people who ship multiple products. I got tired of manually checking separate GA4 properties for all my apps and SaaS projects, and setting up individual MCP integrations for each felt like overkill when I just wanted a quick overview. So I built a single dashboard that connects all your GA4 properties, runs statistical anomaly detection, sends alerts when something breaks, and generates AI weekly digests. Free tier for 2 properties, Pro at $9/mo.
- Kvile ( https://kvile.app ) — A lightweight desktop HTTP client built with Rust + Tauri. Native .http file support (JetBrains/VS Code/Kulala compatible), Monaco editor, JS pre/post scripts, SQLite-backed history. Sub-second startup. MIT licensed, no cloud, your requests stay on your machine. Think Postman without the bloat and login walls.
- APIDrift ( https://apidrift.dev ) — Monitors changelogs for APIs, SDKs, and libraries you depend on so you don't get blindsided by upstream breaking changes. Scrapes docs, diffs changes, classifies severity with AI, and sends digest emails. Track your dependencies, get alerted when something breaks. Free tier covers 3 sources with weekly digests. Built with Next.js, Supabase, and Gemini Flash.
- Mockingjay ( https://apps.apple.com/app/id6758616261 ) — iOS app that records video and streams AES-256-GCM encrypted chunks to your Google Drive in real-time. By the time someone takes your phone, the footage is already safe in the cloud. Built for journalists, activists, and anyone who needs tamper-proof evidence. Features a duress PIN that wipes local keys while preserving cloud backups, and a fake sleep mode that makes the phone look powered off during recording.
- Stao ( https://stao.app ) — A simple sit/stand reminder for standing desk users. Runs in the system tray, tracks your streaks, zero setup. Available on macOS, Windows, Linux, iOS, and Android.
- MyVisualRoutine ( https://myvisualroutine.com ) — This one is personal. I have three kids, two with severe disabilities. Visual schedules (laminated cards, velcro boards) are a lifeline for non-verbal children, but they're a nightmare to manage and they don't leave the house. So I built an app that lets you create a full visual routine in about 20 seconds and take it anywhere. Choice boards, First/Then boards, day plans, 50+ preloaded activities, works fully offline. Free tier is genuinely usable. Available on iOS and Android.
- Linetris ( https://apps.apple.com/app/id6759858457 ), a daily puzzle game where you fill an 8x8 grid with Tetris-like pieces to clear lines. Think Wordle meets Tetris. Daily challenges, leaderboards, and competititve play against friends.
I just finished adding uACPI to my hobby OS and have all the pieces necessary to write up a crude version of Pong. Since pong was my first ‘real’ project when I started teaching myself how to code, this has that extra bit of sentimentality for me :)
I’m making an RPG Engine/toolset (i.e. Final Fantasy SNES or Game boy) that targets iOS/Android and the tools themselves are shippable in the mobile client (or web if you want some actual screen real estate)
It's still early, because I actually had some nice weather in the PNW, but looking at porting NanoClaw to use FreeBSD jails and ZFS snapshots. Why? I use linux because I have to - docker/docker images is what we are stuck with. For personal stuff - I prefer the BSDs.
We are building a live knowledge graph of all political players in the South Asian Region. Essentially mapping out entities, relationships, and events with data from the last 30 years or so.
I've been migrating my projects from Dagger to Bazel. It's... slowly making progress. Claude really wants to take shortcuts and I've never used Bazel before.
Nobody will read this and the game is not ready, BUT maybe one of you can check it out and tell me what you think. It is called ZAEL. It is a mage arena web app (smartphone/Desktop), played from 1 to 4 players, no login, easy to share a link to invite people into your game, whatever the platform. It is no install, no bullshit. Just click and play
I have found out that it is very efficient to use phaser.js/three.js for fast, vibe coding, because it handles everything without having to setup a unity scene manually or unreal blueprint. I really recommend to make web apps instead for vibe coding. I love how easy it goes.
We're pivoting our growth agency to be "AI-Native" this quarter. Getting everyone on the team to begin their tasks with "let's instruct Claude to do this" rather then themselves.
Lots of this is going to involve getting people more up to speed on CS, can't wait.
Interesting pivot — one thing I'd be curious about: does your agency help clients collect social proof / testimonials from their customers? That's one of those tasks that sounds simple ("just ask them to write a review") but has terrible follow-through in practice.
I'm working on socialproof.dev which automates that step — shareable link, structured form, one-click approve and embed. Wondering if that kind of tool would fit into what a growth agency delivers to clients, or if it's something you'd rather solve with AI prompts and an email sequence.
I built a daily puzzles site at https://dailybaffle.com, and I'm working on promoting it and releasing the mobile app for it this month. Turns out it's a lot of work to promote things!
I built a lightweight (<1mb) chrome extension (with over 600,000 downloads) that lets you chat with page, draft emails and messages, fix grammar, translate, summarize page, etc.. You can use models from OpenAl, Google, and Anthropic.
A proxy server to give my agent access to my Gmail with permissions as granular as I like. Like can create filters to custom label but not send to trash. As my inbox is at 99% due to years of zero discipline giving my email out to every company on the web :)
I’m working on Green Tea. A open source note app built on Pi agent framework. Basically gives you the power of a coding agent harness for knowledge work in an electron app.
No accounts required, all data is yours and lives on your computer.
Super annoyed by the "AI will take your jobs" hysteria, so I pulled BLS data and analyzed talks by AI researchers and a few industry folks, and ranked 900+ BLS jobs by AI resilience.
I'm learning how to train transformer models locally to do useful work instead of having to pay for claude. I regularly update my blog here https://seanneilan.com/posts
Hi! My name is Pablo. I’m a Product and UX Designer currently working on Maxxmod [1], a browser extension that gives users more control over the YouTube interface by reducing clutter, removing distractions, and adding features the platform doesn’t offer.
I’ve already completed the research, business model, competitive analysis, feature set, branding, and the full UI (40+ screens).
The MVP/V1 is currently in development. When the V1 is ready I’m planning to do a Show HN with this account.
It's my first product. Any feedback or questions are very welcome, even if it's just based on the idea and the screenshots on the site, since the product isn’t available to try yet.
I built a reader companion for Neal Stephenson's The Baroque Cycle to keep track of where the characters are on a map, and having useful info like chapter summaries and Wikipedia articles to read. https://baroque-cycle.fyi
We've been building Doodledapp, a visual node-graph editor for Solidity (Ethereum). It's been really exciting to work on something genuinely interesting.
Using a webcam, monitor finger movements and find mistakes (using some sort of AI video analysis) to help user figure out how to improve. It's a hard thing to build but if you build it there is going to be paying customers. You can even sell hardware and subscriptions with it. Lots of schools want this!
Cool! I found your solution a while ago while searching for something similar, do you plan to support other locales and/or keyboard layouts in the future?
usm.tools https://usm.tools/public/landing/ - platform that allows defining services (the organizational kind) as data, allowing different stakeholders differemt views on them. For instance somebody participating in a service delivery can see how they contribute to it
Arch Asxent https://github.com/mikko-ahonen/arch-ascent - tool for analyzing large microservice networks with hundres of microservices and creating architectural vision for them, and steps to reach the vision
Developing this idea of a ClaudeVM and that being the future where we just write literate programs of Englishscript that run directly on the VM and eliminate this code compilation steps entirely.
A prompt injection solution that seems to benchmark better than any other approach out there, while not using hard-coded filters or a lightweight LLM which adds latency.
I've been on/off working on a Forth compiler for the NES. It will be open source soon enough but I'm not happy with the code right now as it's extremely messy, repetitive, and buggy, but I think it's turning out ok. I am resisting the urge to use Claude to do all the work for me, since that's depressing.
I've also been working on a clone of the old podcasting website TalkShoe. It's nothing too complicated. It's mostly an excuse to learn a bit more about Asterisk and telephony stuff. I'm hoping to have something fully usable in about a month or two.
I forked the main MiSTer binary due to some disagreements I had with Sorg in how he's running things [1]. My fork was largely done by Codex and Claude, but the tl;dr of it is that it has automatic backup of your saves, tagging and versioning of your saves, and it abuses the hell out of SQLite to give better guarantees of write safety than the vanilla MiSTer binary gives you. I've been using it for a few weeks now and it seems to work fine, and it's neat to be able to tag and version saves.
I think that's mostly it. I'm always hacking on something so there might be a straggler there.
We're building a new CRM from the ground up. We've helped a handful of companies and non-profits set up CRMs and it's amazing how bad existing CRMs are. It's like they don't understand what common day to day tasks need to be made as easy as possible.
We're also trying to use AI more thoughtfully than just bolting on a chatbot. We're planning to consider each workflow our customers need and how AI might help speed them up - even letting them build custom AI workflows. I think most businesses (especially smaller businesses) don't want to work at the level of Claude Code, Codex, etc. They want to work on higher level problems - build this dashboard, connect these data sources, invoice this customer, etc.
Aside from that, we've noticed that the basics really matter, so we're trying to nail that first.
We're definitely a bit delusional, we're just 3 people, we're doing it without funding and the competition is stiff, but we really believe in the product. Additionally, I think a lot of CRMs go south by taking on too much VC that naturally pushes them to prioritize ROI instead of continually improving the product.
There is so much opportunity in AI that is not just a chatbot, I almost feel there should be category of tools that is LLM powered, but not [here is empty textbox]
Best of luck!
I'm building a zork-like dungeon explorer for vibe coded projects. Ok, the zork interface is not that important, but it adds an extra layer of fun, and does reflect the reality of how I dig through a codebase to understand it. You start at the entry point and start exploring each code path to build a map of what is going on, taking notes as you go, and using tools if you're lucky to get a sense of the overall structure. You can also go up and down a level of abstraction like going up and down a dungeon.
It incorporates also complaints from a static analyzer for Python and Javascript that detects 90+ vibe slop anti-patterns using mostly ASTs, and in some cases AST + small language models. The complaints give the local class and methods a sense of how much pain they are in, so I give the code a sense of its own emotional state.
I also build data flow schematics of the entire system so I can visualize the project as a wire diagram, which is very helpful to quickly see what is going on.
We're actually building an opensource SaaS for every vertical. We shipped our Shopify alternative end of last year and after restaurant, we have hotels, grocery, and gyms next.
It is a forum application where each community is invite only. Think a cross between reddit/discord. The invite only architecture reduces trolls, spam, AI slop and promotes more substantive discussions.
Right now invitations are limited to 1 per day for each user in a community. You don't need an invite to join at the global level - but to join any community you must have received an invitation link. Still a major work in progress, right now working on expanding the flexibility of community creation and invitation logic. (allowing bulk invites, adding flexible invitation cool downs, etc).
About an hour ago I was dismissed as AI slop on the r/rust Reddit. Whatever.
This tool is my line of defense in case `trunk` goes dead, which it seems to be increasingly likely. It helps me build fullstack sites using Actix Web and Yew.
Using it now to see if I can re-invent my blog site for the umpteenth time. :)
I posted another comment about my main project, but on the side, I'm working on an ergonomic local sandbox management tool. Yes, for AI agents, but also for anything else. Crowded space — there's one at the top of the homepage right now — but at the very least it'll work the way I want it to. Currently dogfooding that; if it gets decent I'd likely open-source it.
learning how to fine tune image models, for an attempt at getting diffusion to output LWIR fire mapping data from RGB picture images
so far, ive spent a lot of manual time labeling and matching RGB and LWIR images, and trying to figure out first ways to get better pose matches when the flights arent the same.
that, and many different attempts at getting torch to work using my laptop's GPU and NPU. i think im close, without having to build torch from source woo.
Ive been having an eye towards getting better llm generation quality for python too, but havent put a focus on it yet. im fed up with it making one off script after one off script and instead of just making a react app, making some raw html and making a new html file with the new and old bugs every time i want to do something interactive. its maddening.
my last month of gettin claude code ro play pokemon webt well and ive about learned skills pretty well now, but it keeps wanting to do like a challenge run of sticking with a single pokemon.
I am still not working on anything big right now, but
among the things I did in the last two weeks or so, I
improved the widgets-project I maintain. This one is
to be used to support as many different GUI toolkits
as possible (including use cases for javascript + the
web). The idea is to have objects that are abstract
and represent a widget, say:
button1 = create_button('Hello world!')
button1.on_clicked {
the_hello_world_button_was_clicked
}
# this is the verbose variant in a pseudo-DSL,
# I like things being explicit. In most code
# I may omit some parts e. g.
_ = button('Hello world!') { :the_hello_world_button_was_clicked }
It defaults to ruby and what ruby supports (including
jruby-swing) but two additional languages to use are
python and java. Anyway.
I recently added the possibility to describe what kind
of widgets are to be used via a yaml file, as an option.
This may not sound like a huge win, but so far what I
like here is that it becomes easier to modify individual
widgets without having to sift through code; and it
works for more programming languages too. Any customization
for the widget, including method-invocations if necessary,
can be done via a yaml file now. There is of course a trade
off in that the yaml file can become a bit complex (if the
GUI uses many widgets), so for the most part I use this for
smaller widgets/components that do one specific functionality
(or, few specific functionalities). For instance, a GUI over
wget. Then if other larger programs need that, I make this
small widget more useful and flexible.
The distant goal is to actually use a simple DSL that also
would allow average Joe to customize everything in a very
easy manner; and to have a widget set that can be used for
as many different parts possible including wonky ideas such
as having a whole operating system as a GUI available one
day (a bit like webmin, but not limited to what webmin does;
for instance, I'd also have games such as solitaire, reversi
and so forth). I'd like to see how far that idea can go, but
it is just a hobby so I can only invest little time into it.
(1) PROJECT "AFFIRMATOR" - Start each day out right with chill jazz wake-up music, then life-success wisdom (Earl Nightingale, Tony Robbins, etc). In the evening, fun latin cooking music plays, and then lo-fi chill tunes. At night, your personalized vocalized affirmations & goals plays, and then drift to sleep with meditation music.
Tech details:
I found that used, small form-factor Dell Optiplexes are great for product protoytyping. I'm in Medellin Colombia, and found that you can buy these for about $200 USD - they are often former Point of Sale (POS) or office computers, from about 10 years ago. They have SSDs, run quiet, and are very reliable.
For project Affirmator, I installed Linux Mint Debian Edition (LMDE). Using Cron and Mpv to shuffle-play activity-specific folders of MP3s at the same time each day. For example, for the chill jazz music - I've got a folder of 40+ song MP3s. Cron plays those at 06:30. So it's like a calm, upbeat alarm clock. I'm not a morning person, so this is a "friendly" way for me to wake myself up!
For the vocal affirmation part - I built a Python tool that reads 200+ text affirmations from a markdown/text file. It then uses AWS Polly text-to-speech API to vocalize the affirmations into MP3s. Next, I use `ffmpeg` to add a variable silent spacer gap to the ends of all the MP3s. This allows your to hear a voice affirmation ("I am fit, athletic, and strong!", "I am a confident piano player."), and then there is silent space for you to say it out loud, or repeat in your head.
This project incorporates ideas & routines from: The Strangest Secret by Earl Nightingale, Tony Robbins Personal Power II, Think and Grow Rich by Napoleon Hill, and Atomic Habits by James Clear
(2) PROJECT "LINGOFREQ" - Language learning tool. Uses language-specific high-frequency word lists. Generates example sentences according to a theme/topic. Translates the word & example phrases to English / Spanish / Chinese. Uses Text-to-speech to vocalize the phrases into each language. These phrases are ordered by frequency. When you want to improve your language skills, you set a "window" range of frequency you want to practice, and Lingofreq will play audio files in this range. You can learn Chinese & Spanish while doing the dishes, at the gym, or before going to bed!
(3) Medellin COMMUNITY MAKER-SPACE / CREATIVE ENTREPRENEUR LAB
I'm at Medellin Colombia - my mission is to create the best maker-space. I was a member of ASMBLY Maker-space in Austin Texas (great space!) and worked at Pivotal Labs (agile product prototyping / software lab) - so I'm aiming to combine the best ideas from those.
BACK-BURNER projects:
Documenting my Knowledge as "Public Knowledge Base"
- https://codeberg.org/jro/Knowledge - Here are my notes on Python, Git
- I'm bouncing between Obsidian Sync / Publish / Markdown (currently easiest way), and some sort of open-source knowledge base website (VSCodium + Markdown + FOAM + MkDocs + RClone). I haven't found a solution I'm happy with yet...
Open-source CNC router tech stack:
- I have a CNC router (robotic drill which can carve 3D shapes into wood). Last year I challenged myself to operate it completely through an open-source tech stack. This took me on a journey of learning Inkscape (2d vector design tool, SVG), FreeCAD (3D product design / CAD / CAM tool), G-code (format of text instructions which tell CNC tools where to move and what to do), Universal G-Code Sender (a tool which imports CAM - computer aided manufacturing - designs, connects to the CNC router tool, and actually operates machine. It's quite exciting to play with! Used Kiri-moto (web-based CAD / CAM tool) to convert 2D/SVG designs into 3D shapes). Used OBS (screen recording/streaming tool) and a bunch of web-cams to live-stream tool usage to PeerTube Live (similar to YouTube).
Being "principled" about using open-source tools can be so challenging, but its quite rewarding on the long run.
LEARNING SPANISH
- What's working for me... trying to read spanish books before bed. Handwriting a few paragraphs from a book into journal. Highlighting words I don't know. Looking them up later. Reading a book while listening to its audio book at the same time.
If anyone's interesting in contributing to these projects, I would warmly welcome that. Design, product, sales, project management, engineering/coding, marketing - need tons of help in all these areas.
An alternative to Oracle's VBCS Plugin for Excel [1]
Oracle's plugin allows you access Fusion REST Endpoints (your business data) from within an Excel workbook but it only works on Windows machines and has some other limitations.
Also added a plugin for inspecting punchout payloads for RSSP [2]
A semantic search engine for urban dictionary to be able to search for stupid phrases that the youth keeps redefining
Problems I'm having:
- Getting enriched vectors because the definitions to some of the words are absolute garbage
- Finding a good open source embedding model, currently using nomic-embed-text
Goal: Find me words originating from X city and it not giving me results that match X
Hi, garry.
I hope you’re doing well. I wanted to briefly introduce myself.
I’m a Senior Full Stack Engineer with over 8 years of experience building and scaling production systems using Node.js, TypeScript, React, and Python. I’ve worked in remote, product-focused environments where I’ve led architectural improvements, including migrating a monolithic system to microservices, reducing deployment time by around 50% and improving scalability and reliability.
I’m comfortable owning features end-to-end — from system design and API development to deployment, performance optimization, and production support. I’ve also implemented CI/CD pipelines, improved database performance (PostgreSQL), and contributed to cloud-native infrastructure on AWS using Docker and Kubernetes. In addition, I’ve worked on AI-driven workflows and LLM integrations for modern product capabilities.
I’m currently exploring new remote opportunities and would love to connect if you’re building or scaling a product where strong backend architecture, clean execution, and ownership matter.
If it makes sense, I’d be happy to schedule a short conversation.
Thank you.
Cooking up a NSFW filter for marginalia search.
Pipeline so far has gone like this:
* Use the search engine's API to query a bunch of depravity
* Use qwen3.5 to label the search results and generate training data
* Try to use fasttext to create a fast model
* Get good results in theory but awful results in practice because it picks up weird features
* Yolo implement a small neural net using hand selected input features instead
* Train using fasttext training data
* Do a pretty good job
* for (;;) Apply the model to real a world link database and relabel positive findings with qwen to provide more training data
Currently this is where I'm at
There's a lot of vague middle ground and many of the false positives are arguably just mislabeled.I changed gears and moved into the video games industry at the end of 2021.
I started developing a city builder called Metropolis 1998 [1], but wanted to take the genre in new directions, building on top of what modern games have to offer:
- Watch what's happening inside buildings and design your own (optional)
- Change demand to a per-business level
- Bring the pixel art 3D render aesthetic back from the dead (e.g RollerCoaster Tycoon) [2]
I just updated my Steam page with some recent snapshots from my game. Im really happy with how the game is turning out!
[1] https://store.steampowered.com/app/2287430/Metropolis_1998/
[2] The art in my game is hand drawn though
So pretty. But:
> Both adults in a family will now own a car. This is required since there are not other transportation options, and sidewalks are optional.
Is this temporary or are you planning to release it like this? SimCity leaned into euclidean zoning (separate industrial/residential/commercial zones) and pocketable cars which needed no parking, and thus failed to properly showcase how ugly car-centric cities actually are. I’m sure they did it because it made for an easy gameplay loop/balancing but I’d hope we could come up with more realistic and interesting mechanics in 2026
I actually would really love that in a city planner. A game that actually simulates walkable cities versus car centric abominations and would adapt families strategies based on the availability of sidewalks, public transports and incentives.
Can you tell more about your background? Making a sim like this also crossed my mind many times, but I learned in the past, that without much of any art skills, I would have to use resources of others or hire someone to make the graphics and so on. In the times of me playing around with RPG maker it was the missing story that was the problem. So it seems often that one core aspect is missing, when wanting to make a game. How did you learn to fill that gap, learn how to get that skilled with making the graphics?
I have been following you on twitter since I saw it. It looks amazing. Recently tried the demo. It is like under 50MB (the demo at least) which is insane these days. Placing building required construction of the building room by room which was tedious. I am sure some people will enjoy that. Will that be the core part of final game?
Metropolis 1998 looks beautiful! (and addictive!)
Will you do a native Linux release, or has it been tested with Proton?
Also, just from watching the video and screenshots in the Steam page, it seems like a crazy amount of work. Are you doing everything by yourself?
I only had to look at the first screenshot to think "yup, this was made for me, I am buying this".
Love the concept! I would love it even more if you could add support for SteamDeck/proton
The visuals are stunning, great work!
Awesome to see your progress YesBox!
Didn't realise you'd swapped to isometric, it's looking fabulous!
I came across your game last year! Can't remember how. Any hopes of macOS support?
Would buy it if it has mac support as well
Very very cool!
Did you roll your own engine, I know Godot has issues scaling past a certain number of simulations.
Thanks! Yes, I created my own engine to maximize efficiency (where needed). I think it was the right choice for me.
Looks amazing, added to my wish list!
Cool! Isometric for the win :)
Looks amazing!
very cool
Tool that lets you build shortcuts and custom functionality for most macOS apps. You write JS snippets like this:
and then query for elements: and then do stuff with it: and you can bind everything to very specific shortcuts like "press and hold cmd, then scroll mouse wheel up"Targeted towards music producers and AI (there's one collection of snippets that starts an MCP server and exposes some basic functionality) in the beginning.
My wife and I continue to work on Uruky, a EU-based Kagi alternative [1]. Since last month we got deals with a couple more search providers but we’re still waiting for EUSP/STAAN to provide us with an API key (we have progressed through a few more forms and signatures and legal stuff, though).
We’ve continued to get some paid customers and have exited beta last week, given everyone seemed to be quite satisfied and there hadn't been requests for changes, only some specific search providers.
Because of bots there isn’t a free trial easily available, but if you’re a human and you’d like to try it for a couple of days for free, reach out with your account number and we’ll set that up!
Thanks.
P.S.: Because people have asked before, our tech stack is intentionally very "boring" (as in, it generates and serves the HTML + bits of JS to enhance settings and such — search can be done without JS), using Deno in the backend (for easier TypeScript), PostgreSQL for the DB, and Docker for easier deploying.
[1] https://uruky.com
Google AI overview dissector
AIOs are a black hole - we dont know when they appear and whats in it. so i creates a tool thats starts with GSC data and enriches it via AIO data
works good and the major finding by now
the best AIOs you can get are ..... none.
doesn't matter if you are in it or not - as soon as they show up the CTR to tour web-property goes down massively ~60% to 70%
the CTR on the AIOs are ~0%
Building HEBBS — a memory engine for AI agents, written in Rust.
The problem: every agent framework bolts together a vector DB for recall, a KV store for state, maybe a graph DB for relationships, and then hopes the duct tape holds. You get one retrieval path (similarity search), no decay, no consolidation, and the agent forgets everything the moment context gets trimmed.
HEBBS replaces that stack with a single embedded binary (RocksDB underneath, ONNX for local embeddings). Nine operations in three groups: write (remember, revise, forget), read (recall, prime, subscribe), and consolidate (reflect, insights, policy). The interesting part is four recall strategies — similarity, temporal, causal, and analogical — instead of just "nearest vector."
Some technical decisions I'm happy with:
- No network calls on the hot path. Embeddings run locally via ONNX; LLM calls only happen in the background reflect pipeline. - recall at 2ms p50 / 8ms p99 at 10M memories on a 2 vCPU instance. - Append-only event model for memories — sync is conflict-free, and forget is itself a logged event (useful for GDPR). - Lineage tracking: insights link back to source memories, revisions track predecessors.
SDKs for Python, TypeScript, and Rust. CLI with a REPL. gRPC + REST. BSL 1.1 for the engine (converts to Apache 2.0 after four years), Apache 2.0 for all client libs.
There's a reference demo — an AI sales agent that uses HEBBS for multi-session memory, objection handling recall, and background consolidation of conversation patterns.
Still early. The part I'm wrestling with now is tuning the reflect pipeline — figuring out when and how aggressively to consolidate episodic memories into semantic insights without losing useful detail. Curious if anyone working on agent memory has opinions on that tradeoff, or if you've found other approaches that work.
https://github.com/hebbs-ai/hebbs
I'm building a microreading service that let's me get long books read with small chunks of time that I have - https://lauselt.ee Currently I've added some public domain Estonian books in there and tbh I do get a lot more reading done during the day. Basically you can use your 1-5 min breaks (waiting for a bus, during the commercials, waiting for food etc) to open the book quickly where you left off and read by scrolling small chunks of texts at a time. Duolingo style streak to create the habit of reading every day. Also the ability to upload your own book and it will automatically be split into these small chunks.
Vibe-coded a YouTrack CLI tool in < 1 hour:
https://github.com/keithn/yt
Also working on a language for embedded bare-metal devices with built-in cooperative multitasking.
A lot of embedded projects introduce an RTOS and then end up inheriting the complexity that comes with it. The idea here is to keep the mental model simple: every `[]` block runs independently and automatically yields after each logical line of code.
There is also an event/messaging system:
- Blocks can be triggered by events: `[>event params ...]`
- Blocks can wait for events internally
- Events can also be injected from interrupts
This makes it easy to model embedded systems as independent state machines while still monitoring device state.
Right now it’s mostly an interpreter written in Rust, but it can also emit C code. I’m still experimenting with syntax.
Example:
holy, downvotes on what I'm working on?
You said "vibecoded", maybe it triggered someone. I upvoted you as I just learned YouTrack exists, and it has 10-users free plan, I'm going to give it a try,
You said the v word!
Yeah it's a nice project. Maybe it was an accidental click by somebody. I tried to compensate for it.
Well, I just jumped full time on IronCalc[1] a fully open source, light and fast spreadsheet engine designed and build from the ground up.
I have been working on it as side project for over two years and now, with funding from the EU for the next 2.5 years, I hope I can make of it a real product for everyone to use that can compete with the likes of Excel and Googl;e Sheets.
I can oly say, I am overly, off the Moon excited
[1]: https://www.ironcalc.com
Which EU grant did you receive? Ie. from which fund?
edit: nm, rtfm, it was on the landing page: Horizon Europe programme
Answered to a sibling comment. NLnet and HORIZON.
NLnet is just amazing and can keep you going if you are a student or have some extra sources of income
HORIZON is a huge grant but fairly hard to obtain. Generally related to reasearch grants in academia
Interesting, how was the EU funding process?
First we got a grant from the NLnet[1], which I highly recommend as a first step of any project. Single best thing I could have done. That wasn't enough money for me to quit my job. Also I didn't have any _evidence_ that IronCalc was a good idea or that there was a market for it. Then evidence started pouring and I kept working. I started talking to different folks, lots of people many of those were contacts through the NLnet. Then the folks from NextGraph[2] approached us and asked, "Hey do you want to be part of this consortium [3]?". Eventually we got a HORIZON grant after a lot of sweat and paperwork, but NextGraph took the brunt of it.
As you see there is a huge component of sheer luck
[1]: https://nlnet.nl/project/IronCalc/ [2]: https://nextgraph.org/ [3]: https://elfaconsortium.eu/
Since subreddits related to identifying AI images/videos got very popular, my wife started to send me cute AI generated videos, older family members can't distinguish AI videos at all, I've decided to code a weekend side project to train their Spidey sense for AI content.
https://IsThisAI.lol
The content is hand picked from tiktok, Instagram, Facebook, Reddit and other AI generating platforms.
Honestly I don't know where I'm going with this, but I felt the urge to create it, so here it is.
I learned how to optimize serving assets on CloudFlare.
Feedback welcome.
Tricky! I often also guess wrong. But I noticed it has some bug. Sometimes I can click either option "AI Generated" or "Real" and nothing happens. Even if I click 10 times, still nothing happens. The buttons must have some broken event handling or something.
EDIT: Hm, I switched tab, away to write this comment, now that I switched back, it showed me that I clicked correctly. So it seems, that sometimes it just has huge delay in accepting my choice?
The project got some traction, over 5k requests since I posted this. Probably the DB state needs to be optimized a bit. Thank you for reporting! I really appreciate it
Edit: I don't see slow traces in Sentry. No idea what caused this. Also, voting goes through redis and the dB load is low. Weird. I probably have to add gunicorn workers.
Edit2: Bumped gunicorn workers from 2 to 4. Should be fine now, under the current load. Again, thank you for reporting!
+1 for training parents' tech literacy.
I dunno if/how this could be taught, but I feel like half the battle is critical thinking with an adversarial mindset towards media -- who would make this, why would they want to show me, do I see anything that makes this impossible, is it worth engaging with in the first place, can I fact check this.
Yep, my thoughts exactly. But the consumer rarely thinks critically when looking at ads, not to mention regular social media posts and the Big Corp has no money in proving what assets are AI generated.
I'm trying to gamify the training to make the experience more appealing.
I store a "proof URL" on the backend, but I don't know if it makes sense to serve it to the end user. Also, a Reddit discussion is not necessarily a proof one wants. A fingerprint would be better, but not all images are generated with Google. That's another problem to be solved.
I somewhat like it for what it is, but expected something else based on description. This is just a real/ai guesser that doesn't really train you at all.
I love this. Each time my parents need their wifi fixed I'm going to make them do 5 of this app before it get to work.
Thank you for the kind words. I don't expect it to spread like fire, but I'd appreciate if you could share it with your folks. I don't intend to monetize it, my goal is to have some small daily traffic.
It's SFW and localized to the most popular languages.
Im building https://trypixie.com to legally employ my 7 year old child, save on taxes and contribute to her Roth IRA.
Im also building https://www.keepfiled.com, a microsaas to save emails (or email attachments) to google drive
I almost forgot, I also built https://statphone.com - One emergency number that rings your whole family and breaks through DND.
I love building. I built all these for myself. unfortunately I suck at marketing so I barely have customers.
Amazing landing for statphone, mind if I ask if it’s using any sort of UI library?
Statphone is such a genius idea - very cool.
these are all great ideas!
TryPixie is a great idea
An immobiliser for my car. Had trouble finding devices that would cover the specific attack vectors my car would be susceptible to. Checked my insurance, no specific clauses around immobilisers, check relevant road laws, no issues there.
I have a fairly novel approach to operating it, and in the case of one time theft prevention security through obscurity is actually a great approach. The assailant only has a short time to pull the car apart and solve the puzzle, couple that with genuine security techniques, a physical aspect, and it should be pretty foolproof.
It can still be towed away, etc, not much to be done there except brute force physical blocks. Most cars get stolen here to do crime in that night so it's not as common.
https://playdropstack.com
Making improvements on this tetris meets block puzzle game
Rewriting the backend Bitwise Cloud, my semantic search for embedded systems docs Claude Code plugin from Python to Go.
The problem was the ML dependencies. The backend uses BGE-small-en-v1.5 for embeddings and FAISS for vector search. Both are C++/Python. Using them from Go means CGO, which means a C toolchain in your build, platform-specific binaries, and the end of go get && go build.
So I wrote both from scratch in pure Go.
goformer (https://www.mikeayles.com/blog/goformer/) loads HuggingFace safetensors directly and runs BERT inference. No ONNX export step, no Python in the build pipeline. It produces embeddings that match the Python reference to cosine similarity > 0.9999. It's 10-50x slower than ONNX Runtime, but for my workload (embed one short query at search time, batch ingest at deploy time) 154ms per embedding is noise.
goformersearch (https://www.mikeayles.com/blog/goformersearch/) is the vector index. Brute-force and HNSW, same interface, swap with one line. I couldn't justify pulling in FAISS for the index sizes I'm dealing with (10k-50k vectors), and the pure Go HNSW searches in under 0.5ms at 50k vectors. Had to settle for HNSW over FAISS's IVF-PQ, but at this scale the recall tradeoff is fine.
The interesting bit was finding the crossover point where HNSW beats brute-force. At 384 dimensions it's around 2,400 vectors. Below that, just scan everything, the graph overhead isn't worth it. I wrote it up with benchmarks against FAISS for reference.
Together they're a zero-dependency semantic search stack. go get both libraries, download a model from HuggingFace, and you have embedding generation + vector search in a single static binary. No Python, no Docker, no CGO.
Is it better than ONNX/FAISS? Heck no. I just did it because I wanted to try out Go.
goformer: https://github.com/MichaelAyles/goformer
goformersearch: https://github.com/MichaelAyles/goformersearch
JetSet AI (https://bit.ly/4besn7l) — flight search in plain English instead of the usual date-picker maze.
Type "cheapest flight from London to Tokyo, flexible on dates in April" and it returns live results with real pricing. I compared a few against Google Flights and they matched. Not mocked data.
The part I found interesting: it runs on a dedicated VM so it keeps context across the conversation. If you say "actually make that business class" or "what about flying into Osaka instead" it knows what you were looking at. Most chat-based search tools lose that between messages.
I didn't build it from scratch — it's a pre-built app in the SuperNinja App Store that I deployed and have been extending. The deploy itself took about 60 seconds. The extending part is what I've been spending time on: describing changes in plain text and watching them go live without touching a repo.
Still figuring out what the right UX is for flexible-date search. Curious if anyone has opinions on that.
I'm using TimescaleDB to manage 450GB of stocks and options data from Massive (what used to be polygon.io), and I've been getting LLM agents to iterate over academic research to see if anything works to improve trading with backtesting.
It's an addictive slot machine where I pull the lever and the dials spin as I hope for the sound of a jackpot. 999 out of 1000 winning models do so because of look-ahead bias, which makes them look great but are actually bad models. For example, one didn't convert the time zone from UTC to EST, so five hours of future knowledge got baked into the model. Another used `SELECT DISTINCT`, which chose a value at random during a 0–5 hour window — meaning 0–5 hours of future knowledge got baked in. That one was somehow related to Timescale hypertables.
Now I'm applying the VIX formula to TSLA options trades to see if I can take research papers about trading with VIX and apply them to TSLA.
Whatever the case, I've learned a lot about working with LLM agents and time-series data, and very little about actually trading equities and derivatives.
(I did 100% beat SPY with a train/out-of-sample test, though not by much. I'll likely share it here in a couple weeks. It automates trading on Robinhood, which is pretty cool.)
Nice. I played with this a bit. Agents are very good at Rust and CUDA so massive parallelization of compute for things like options chains may give you an edge. Also, you may find you have a hard time getting very low latency connection - one that is low enough in ms so that when you factor in the other delays, you still have an edge. So one approach might be to acknowledge that as a hobbyist you can't compete on lowest-latency, so you try to compete on two other fronts: Most effective algorithm, and ability to massively parallelize on consumer GPU what would take others longer to calculate.
Best of luck. Super fun!
PS: Just a follow-up. There was a post here a few days ago about a research breakthrough where they literally just had the agent iterate on a single planning doc over and over. I think pushing chain of thought for SOTA foundational models is fertile ground. That may lead to an algorithmic breakthrough if you start with some solid academic research.
Fun fact - some of it may be a subset of all data and with trimmed outlying points, so when you set some stop loss conditions they get tripped in the real world, but not by your dataset. Get data from my sources.
Relateable. If I had a dollar for every time I ran into issues with time zones, that would be a profitable strategy in and of itself.
did RH open up API for trading?
I developed a Claude skill that will interact with and press every button intercepting every request / response on a website building a Typescript API. I only have $10 in that account so there isn't much damage that it can do. Probably get me banned but I don't use Robinhood for real trading.
I tried exactly this - loading polygon.io data into TimescaleDB, and it was very inefficient.
Ended up using ClickHouse - much smaller on disk, and much faster on all metrics.
Interesting. I'm not familiar with ClickHouse. I've been manually triggering compression and continuous aggregates have been a huge boon. The database has been the least of my concerns. Can you tell me more about it?
You can take a look at this: https://github.com/ClickHouse/stockhouse The database schema is optimised for stock data
I've had a flurry of activity working with emacs, breaking out some things that were previously "Steve stuff" inside my local configuration into real packages.
One thing that I've been very happy with has been "org-people", now on MELPA, which allows contact-management within Emacs via org-mode blocks and properties. It works so well with the native facilities that it's a joy to work on.
I've been learning a lot of new things while I've been expanding it now it has a bigger audience (e.g. "cl-defstruct" was a pleasant surprise).
https://github.com/skx/org-people/
Been working on a solution to my meeting fatigue. I sit in way too many of them where I'm only there "just in case someone has a question" and realized I needed a way to safely not care about my meetings.
The idea is: you join a meeting, hit start on the app, minimize, and go do actual work (or go make a coffee). When someone says your name or any keyword(s) you set, you get a native macOS notification with enough context to jump back in without looking lost. It uses whisper and is 100% local and doesnt leave traces, also very OE friendly.
https://pingmebud.com
Would love to hear what you think, especially if you're drowning in meetings too.
How is this different than @‘ing someone in the chat apps we all already use, and that you’ll actually be responding to the ping in?
Been working on https://localhero.ai, its my service to automate on-brand translations for product teams. I've been doing outreach to Swedish companies/people, getting some good interest from a few that want to automate their localization workflow but don't want the work of maintaining own solutions. Even though you can build a version working with coding agents these days, there is a lot of stuff around it to make it work well over time in a product org. On the tech side for Localhero, one thing I've been working on how it learns from manual edits. Like when a PM or designer tweaks copy in the Localhero UI, those things now better feed back into a translation memory and influence future translations. It's like a self-learning loop, turns out a pretty nice combo of using old-school techniques and offloading some work to LLMs.
Also been spending some time on my old side project https://infrabase.ai, an directory of AI infra related tools. Redesigned the landscape page (https://infrabase.ai/landscape), going through product submissions and content, optimizing a bit for seo/geo.
When GPT-4.5 came out, I used it to write a couple of novels for my son. I had some free API credits, and used a naive workflow:
while word_count < x: write_next_chapter(outline, summary_so_far, previous_chapter_text)
It worked well enough that the novels were better than the median novel aimed at my son's age group, but I'm pretty sure we can do better.
There are web-based tools to help fiction authors to keep their stories straight: they use some data structures to store details about the world, the characters, the plot, the subplots etc., and how they change during each chapter.
I am trying to make an agent skill that has two parts:
- the SKILL.md that defines the goal (what criteria the novel must satisfy to be complete and good) and the general method
- some other md files that describe different roles (planner, author, editor, lore keeper, plot consistency checker etc.)
- a python file which the agent uses as the interface into the data structure (I want it to have a strong structure, and I don't like the idea of the agent just editing a bunch of json files directly)
For the first few iterations, I'm using cheap models (Gemini Flash ones) to generate the stories, and Opus 4.6 to provide feedback. Once I think the skill is described sufficiently well, I'll use a more powerful model for generation and read the resulting novel myself.
this is fascinating. I would like to try this as a side project as well.
some other md files that describe different roles (planner, author, editor, lore keeper, plot consistency checker etc.)
- What are these meant to be exactly? are these sub agents in the workflow or am i completely misunderstanding?
Do you mind posting these novels?
Building a boring POS (1) using various AI tools just to check what can I do with these tools. I have used claude, gemini and now using antigravity. I have not done a single edit manually.
I got it all done in probably an hour or two. But done in 10-15 min blocks over many days.
(1) https://pos.unlimit.in
I live in an old house.
The front bump out leaks when we get driving rain. I installed some flashing but that wasn't enough, it's still leaking. So I'm working on that so I can close up the big hole in the ceiling some day.
The prior owners filled in the old coal chute with literal bags of cement sort of artistically placed in the hole in the brick foundation. So I'm trying to figure out what masonry tools and skills I'll need to close it up proper.
I'd like to build my kids a playhouse of some sort, sketching out some designs for that.
As in they put bags of unmixed cement in the chute?
Very exciting on the playhouse. What kind of things will it have?
I'm expecting my first this year so have a ways to go before I get to work on that project
Any way you could share the sketches? Seems fun and interesting.
Managed BYOK stateless agent orchestrator called BeeZee: https://beezyai.net/. Basically Claude Cowork / a coding agent on the web but provider agnostic, you own the data and you can connect several nodes to it. Instead of installing an agent for all your machines you have one master agentic server and executor nodes. The server is stateless the data lives on the nodes and in a managed database. I use Supabase and Google KMS so my auth keys are encrypted. Uses Pi agent under the hood. This enables me to code from my phone without a dedicated SSH terminal and without the need to babysit the agent. I describe the feature, off it goes, I close my phone and in 10 mins the results are there. Also using it to support my wife with white collar stuff like Excel analysis, translation, etc. It's a bit buggy but getting better.
https://finbodhi.com — It's an app for your financial journey. It helps you track, understand, benchmark and plan your finances - with double-entry accounting. You own your financial data. It’s local-first, syncs across devices, and everything’s encrypted in transit (we do have your email for subscription tracking and analytics).
Supports multiple-accounts (track as a family or even as an advisor), multi-currency, a custom sheet/calculator to operate on your accounts (calculate taxes etc) and much more. Most recently, we added support for benchmarking (create custom dashboards tracking nav and value chart of subsets of your portfolio) and US stocks, etfs etc.
We also write about like:
How fund performance explain part of returns, rest is explained by timing. And ways to tease those out: https://finbodhi.com/docs/blog/benchmark-scenarios
Or, understanding double entry account: https://finbodhi.com/docs/understanding-double-entry
Hey! The demo didn't work in Firefox. It said something about setting up the database then it crashed the tab.
It doesn't work in Incognito mode. Did you try it without incognito?
Hey, this sounds like exactly what I've been looking for (household tracking of finances). FYI images are currently not loading on your webpage:)
The images seem to be loading. They are heavy so might be taking time, or may be something is blocking them?
This looks perfect, Ill give it a go today
https://telephone.health, which shows how well LLMs can take narrative medical text, convert it to a structured form (FHIR R4, for application consumption), and then convert it back to narrative text for human consumption.
Interesting findings include Mistral doing better than Gemini 3 Pro in certain usescases, cross-LLM works better than one LLM to another, oh and - the cost all of of this. So, so expensive.
I am working on some math education tools. One is free and open-source, the other is paid.
Free Math Sheets is a tool to generate math worksheet PDFs (and the answer keys if required). Currently it supports K-5 but I want to expand it to higher levels of math (Calculus, Physics, you name it!). You select a bunch of different options and then generate it. All in the front-end. No back-end or login in required. https://www.freemathsheets.com
If you are interested in helping out or forking it, here is the github repo github.com/sophikos/free-math-sheets
The paid project is Numerikos. I am going for something in between Khan Academy and Math Academy. I like the playfulness and answer input methods from Khan Academy (but it is linear, doesn't have a good way to go back and practice, etc.). I like Math Academy's algorithm (but it has multiple choice answers, yuck! and is easy to get stuck and doesn't have a good way to explore on your own). Currently Numerikos supports 4th and 5th grade math lessons and practice. The algorithm is based on mastery learning like Numerikos, but you can also see a list of all the skills and practice whatever you want. I am also working on a dashboard system where you can build your own daily/weekly practices for the skills you care about. Next up is 6th grade math and placement tests.
https://www.numerikos.com/
I'm working on a similar thing, but due to various problems I encountered (auto-grading, scheduling, guidance, ...) I have, for now, concentrated on making a curated collection of problems / exercises. It's not yet a generator but rather "one of each kind of problem".
The idea is that _any_ user-facing tool, whether an app, worksheet generator or whatever, will need something like this for content, so I'm making this available for free and hoping for others to build on top of it.
I'm sticking to university-level stuff because I feel that school-level, especially math, is over-saturated already.
Technically, it is currently built as a React app, but that is mostly me sticking to tools that get out of my way. Generating PDFs or Anki files should be relatively straightforward.
https://github.com/janitza-mage/spot-problems-4
Nice! University-level math would be great. That is my end goal as well, but I probably won't get to that until the end of the year. I am focusing on lessons that my kids will use, then switch focus to ones that I will use. Do you have it hosted somewhere? Or can you add some details/screenshots to the readme?
I've built a generic PKCS#11 interface to the Apple's Secure Enclave[1]
Primarily to use in conjunction with OpenVPN. Like secretive or /usr/lib/ssh-keychain.dylib[2], but not just for SSH.
1 - https://github.com/ne-bknn/nailed
2 - https://news.ycombinator.com/item?id=46025721
ChatShell (https://github.com/chatshellapp/chatshell-desktop) — open-source desktop AI agent built with Tauri 2 + Rust. Ships with 9 built-in tools (web search, bash, file read/write, grep, etc.) so the AI can take real actions from the first conversation. No plugins, no config. Supports 40+ providers, MCP with OAuth, and a skills system. Apache 2.0.
Today working on adding chat history search (FTS5) and OpenRouter Nano Banana 2 support.
Been using ChatShell as my daily driver for non-dev tasks — research, writing, file management, web lookups. The features I rely on most are well tested through dogfooding.
I vibe coded a tiny MUD-style world sim where LLMs control each character. It's basically a little toy sandbox where LLMs can play around. There's no real goal to this, I just thought that it would be fun, like a more advanced tamagochi.
One of the issues I encountered initially was that the LLMs were repeating a small set of actions and never trying some of the more experimental actions. With a bit of prompt tweaking I was able to get them to branch out a bit, but it still feels like there's a lot of room for improvement on that front. I still haven't figured out how to instill a creative spark for exploration through my prompting skills.
It has been quite exciting to see how quickly a few simple rules can lead to emergent storytelling. One of the actions I added was the ability for the agents to pray to the creator of their world (i.e. me) along with the ability for me to respond in a separate cycle. The first prayer I received was from an agent that decided to wade into a river and kneel, just to offer a moment in stillness. Imagining it is still making me smile.
Unfortunately, I don't have access to enough compute to run a bigger experiment, but I think it would be really interesting to create lots of seed worlds / codebases which exist in a loop. With the twist being that after each cycle the agents can all suggest changes to their world. This would've previously been quite difficult, but I think it could be viable with current agentic programming capabilities. I wonder what a world with different LLM distributions would look like after a few iterations. What kind of worlds would Gemini, Claude, Grok, or ChatGPT create? And what if they're all put in the same world, which ones become the dominant force?
I’ve been messing around with a similar project (but in a grimdark/cosmic horror setting). I was running into the same issue, agents getting stuck in a loop. What worked for me was adding dwarf fortress/rimworld like systems. The random events and systems influencing systems worked wonders for me.
Sounds fun. Can't beat a good whimsical project!
I'm still having a lot of fun releasing daily puzzles for my game Tiled Words: https://tiledwords.com
It just won an award! It was awarded Players' Choice out of 700 daily web games at the Playlin awards: https://playlin.io/news/announcing-the-2025-playlin-awards-w...
Right now around 3,500 people play every day which kind of blows my mind!
It's free, web-based, and responsive. It was inspired by board games and crosswords.
I've been troubleshooting some iOS performance issues, working on user accounts, and getting ready to launch player-submitted puzzles. It's slow going though because I have limited free time and making the puzzles is time consuming!
Here's an article with more info about the award: https://cogconnected.com/2026/03/tiled-words-crowned-the-pla...
I don't play every day, but I've been a big fan of Tiled and showed it to a number of other folks.
Thank you so much for keeping it going!
Thanks for playing and sharing!
How did you go from 0 users to 3,500? Genuinely curious how people get their games off the ground.
It's been a gradual process over the last 5.5 months. Here are some of the things that worked for me:
- I applied to showcase the game at the Portland Retro Gaming Expo with the Portland Indie Game Squad. They accepted me so I was able to showcase it at the expo for a day. This got me some players right off the bat
- I shared it on HN, Reddit, Mastodon, etc.
- The website Thinky Games wrote an article about it
- The YouTube channel Cracking the Cryptic shared it which got a lot of new players. More recently a couple of other YouTubers (Timotab and Stro Solves) have been posting videos regularly
- I link to it from my blog, and this unrelated rant went semi-viral in web dev circles: https://paulmakeswebsites.com/writing/shadcn-radio-button/
- Winning the award gave me more visibility and players
I've also tried using things like Instagram and Discord but haven't had much luck there. I don't really get how those platforms work.
To be honest I'm not great at marketing. I've just been experimenting and seeing what works.
---
I would say the most important thing is the game itself:
- I've worked hard to gather feedback and incorporate it into the gameplay.
- I focus on keeping the puzzles fresh and striking the right difficulty level. (Challenging but something most people can do in 10 minutes.)
- I built a sharing feature that ~300 or so people use a day
I think all my marketing would have been useless if people didn't like the game and want to play again and share it with their friends.
I made an idle version of the 1999 MMORPG "EverQuest". There's maybe around 50 people playing at any given time and has a enthusiastic discord group for it. It's relatively fully-featured to the original game, and has a lot of new mechanics to make the idle format work well. The 3D graphics aspect of it is really more of a screensaver, though, and all game interactions are done through menus.
I recently converted a bunch of stuff to be client side instead of server side (turns out running a real-time MMORPG server is expensive) so there's a new round of bugs I'm still resolving, but it's still fun to play:
https://www.idlequest.net/
I working on a service[1] for myself to track visually the first page of some news websites hourly. Hosting the agent on my RP5.
[1]https://kiosk24.site
I have been working on quite a bit of things… but lately I went back to my hobby project of the last year:
https://DuoBook.co
It’s like netflix for language, where users can select/create their personal bilangual stories.
I had quite a lot of feedback from HN, friends, random people on the internet and trying to solve the common pain points and find my way around to make it geniunely useful.
- Most people said it’s hard to come up with a story, so I added url grounding. Also added buttons (including HN :)) so people can just click click and get their stories at their level with their interests.
- Made sure people can generate stories without ever signing up
- Each word is highlighted while being read, and the meanings can be checked with a tap. I also added an option for users to read the sentence for being checked how good their pronounciation is.
- Benchmarked 7 different models to get the fastest & highest quality story generation (it’s gemini now) and it’s insanely fast. I might share more about it on the webpage because I am an engineer and I enjoy this stuff lol.
- Added CSV import in Use my words so Anki users can just import their words to study.
- Also people can download their stories as pdf so they can send it to their kindles.
- I am working on a ChatGPT app, so people can just say “@DuoBook give me a Dutch/English story on latest Iranian events” within ChatGPT, but I am a bit afraid that it might be costly lol.
cool idea!
I've joined this year's Flame Game Jam which uses the Flame Engine built on top of Flutter. This is my first game jam and I really hope I manage to submit the game before the deadline on Sunday.
Here's a link to the jam if anyone else is interested, and I recommend joining the Discord server too because the organizers and participants are really great and fun to hang around! - https://itch.io/jam/flame-game-jam-2026
I am working on a HTML-to-PDF converter written from scratch in pure Go. I got tired of using headless browsers for various reasons and decided to give it a try and implement something that I can use internally. However the results have far exceed my expectations and I've decided to open source everything. It's around 10x to 15x faster than wkhtmltopdf, which is by far the fastest headless browser converter. It's 80x-100x faster than a pagedjs. It's even 2x faster than PrinceXML, which is pretty much the most mature and reliable HTML-to-PDF converter on the market. It also produces the smallest PDF size.
I started small as a toy project, but gradually implemented full support for proper block context, flexbox layout, CSS variables, tables, etc. to the point where I have almost full support of all major CSS features (even math functions like calc(), min(), max()).
I'm cleaning up the code right now and will upload it later today or maybe tomorrow here: https://github.com/PureGoPDF
Do you intend to one day support all the paged media bits in pagedjs? I assume it works with their polyfill but it’d be great to have a built in more performant option.
> PureGoPDF doesn't have any public repositories yet.
> I'm cleaning up the code right now and will upload it later today or maybe tomorrow here
Trying out vibe-coding (so mostly not even reading the code) a note-taking web app that's essentially a simplified and dirt-cheap to host Workflowy clone. That seems to me like an easily disruptible SaaS in the sense that note-taking is a very generic app, I only use a small part of the feature set of Workflowy and find the price far too high given that. A lot of other vibe-coding around me I see is throw-away junk, but my intention is to actually use this. The frontend is mostly done and working quite nicely already. Sync is then more crucial to get right to avoid data loss and I think I'll review and rewrite myself more of that.
https://chatpak.store/
Group chat photobooks. Automatic layouts, no editor/app, unlimited free previews. Build a hardcover (up to 1000 image) and ship it in minutes.
Wanted a physical souvenir for everyone in my long running signal chat but didn’t want to spend hours curating in editors.
Codeboards https://codeboards.io - Codeboards connects to GitHub, Stack Overflow, LinkedIn, and HuggingFace to generate a professional developer profile that updates itself. Your commits, contributions, and reputation — finally in one place.
I'm writing an essay where I get into how I use GNU Emacs along with gptel (a simple LLM client for Emacs) and Google's Gemini-3 family of models to turn a 1970s-vintage text editor into a futuristic language-learning platform to help me study Latin. I want to show how I liberate poorly aligned, pixelated PDF image scans of century-old Latin textbooks from the Internet Archive and transform them into glorious Org mode documents while preserving important typographic details, nicely formatted tables, and some semantic document metadata. I also want to outline how to integrate a local lemmatizer and dictionary to quickly perform Latin-to-English lookups, and how to send whole sentences to Gemini for a detailed morphological and grammatical breakdown.
I also intend to dig into how to integrate Emacs with tools such as yt-dlp and patreon-dl to grab Latin-language audio content from the Internet, transcode the audio with ffmpeg, load it into the LLM's context window, and send it off for transcription. If the essay isn't already too long, I'll demonstrate how to gather forced-alignment data using local models such as wav2vec2-latin so I can play audio snippets of Latin texts directly from a transcription buffer in Emacs. Lastly, I want show how to leverage Gemini to automatically create multimedia flash cards in Org mode using the anki-editor Emacs minor mode for sentence mining.
I've been plugging away on MadHatter (https://madhatter.app), a web tool for knitting/crochet projects. It works best on desktop!
Why? Many yarncrafters painstakingly build spreadsheets, or try to bend existing general purpose pixel editors to their will. It's time consuming & frustrating.
Along the way, I've solved a bunch of problems:
The core feature that makes this more useful than most general purpose editors is that the canvas is continuous.If you drag a shape near the right edge of the canvas, you'll see it "wrapping around" onto the right edge.
This reflects the 3D reality of a hat!
I took a look at it because you do PDF generation (I am doing front-end PDF generation in my project as well so I wanted to compare), not because I know anything about knitting or crocheting. I made a design, drew on the grid a bit, but was unable to export. I am not sure if I was missing something but it would be helpful to the user if there was a message in the export area about why they cannot export yet.
Two choropleth map projects I've wanted to make for a while:
https://housepricedashboard.co.uk - shows a visualisation of house prices in England and Wales since the 90s, with filters for house types, real vs nominal, and change views over time
https://councilatlas.co.uk - similar structure to the above, but focusing on local council datasets. The idea is to make it easier to compare your local council's performance against the rest of the country.
I'm building AthenaOS: https://athena-os.ai/
Basically OpenClaw but with investing dashboards for my portfolio, additional tools specifically for investing, and exploring an AI-Human collaboration on researching economics (check the 'community' tab).
The data models are all in markdown and Excel so that there's no lockin and you can manually edit positions, personalities, etc.
This comes from frustration around most investing tools basically scraping your personal data + forcing you to lock into subscriptions. I think it's now possible to just vibe code most of what one needs, aside form raw data subscriptions.
It's all open source, too: https://github.com/wgryc/athena-os
Continuing to make fantastic progress on Breaka Club, where we teach kids to code, be creative and make games:
https://breaka.club/blog/why-were-building-clubs-for-kids
The recent Netflix Games edition of Overcooked with K-Pop Demon Hunters is cool, but not nearly as cool as kids coding and playing their way through Overcooked levels in our custom educational mod for Overcooked:
https://youtu.be/ITWSL5lTLig
I'm also maintaining GodotJS, strongly typed TypeScript bindings for Godot, which is used to build the Breaka Club RPG (see first link):
https://github.com/godotjs/GodotJS
And last week I also put together the first release of MoonSharp in ~10 years; Lua runtime for Unity. That's not for Breaka Club though, I also consult for Berserk Games on Tabletop Simulator:
https://github.com/moonsharp-devs/moonsharp/releases
Building grith — OS-level syscall interception for AI coding agents.
The problem: every agent (Cline, Aider, Codex, Claude Code) has unrestricted access to your filesystem, shell, and network. When they process untrusted content — a cloned repo, a dependency README — they’re prompt injection vectors with full machine access. No existing tool evaluates what the agent actually does at the syscall level.
grith wraps any CLI agent without modification. OS-level interception captures every file open, network call, and process spawn, then runs it through 17 independent security filters in parallel across three phases (~15ms total). Composite score routes each call: auto-allow, auto-deny, or queue for async review. Most will auto approve - which eliminates approval fatigue.
Also does per-session cost tracking and audit trails as a side effect of intercepting everything.
https://grith.ai
Each syscall taking 15ms on top of the normal considered costly time taken for context switching to the kernel seems excessivly slow, no?
It’s fast in terms of a response from a LLM model - but it is part of the system I am quite active on at the moment to ensure it’s performant as possible
I'm working on an IoT networked, time sync'd "Smart Dealer Poker Button" - replacing the plastic thing that gets passed around from the current dealer to the next dealer with a IoT display that informs players what level the blinds are etc etc.
Provisional patents went in recently so don't mind broadcasting to a wider audience beyond my poor, unknowing, testers
You can see it working here: https://www.youtube.com/watch?v=G5Xup3kB1D0 and I literally put up a holding page for some media related surges (as it's all self hosted etc and I didn't want to mix my functional stuff with my spikey stuff) here ( name to be worked on, but "NUTS" is the current one) : https://buttonsqueeze.com
I love making games, and I've been building a no-code game engine by extracting reusable components every time I ship a new game. It started as me scratching my own itch, and now it's turning into a real platform.
Each game adds more building blocks to the editor: multiplayer, event systems, NPC behaviors, pathfinding, etc. I build a system once, and then anyone using the editor can use it in a click.
Since my last month, I shipped the asset marketplace and the LLM builder. Artists can now upload tilesets and characters, and unlike itch.io, assets drop directly into the editor. You can preview how they'll actually look in-game before using them [1].
An other problem I kept running into: even with a no-code editor, users don't know where to start. So now I'm extending it with a coding agent. Describe the game you want, and it assembles it — pulling assets from the marketplace, wiring up the event system, and using all the building blocks I've spent the past year extracting. Multiplayer, mobile controls, pathfinding, NPC behaviors — the agent doesn't build any of it, just reaches for what's already there.
Once the LLM assembles it, users will have a game ready to work on, and will still be able jump into the editor and tweak everything [2]. Here's an example of what it can already make [3] (after a lot of prompting), and the goal is to reach games like this one I built with the manual editor[4].
Hoping to release the AI mode in a week or two. The manual editor is live at https://craftmygame.com in the meantime.
[1] https://craftmygame.com/asset/mossy-cavern-JdYWai1
[2] https://youtu.be/6I0-eTmoHwQ
[3] https://youtu.be/FZ12XSZu4nM
[4] https://craftmygame.com/game/island-survivor-s1Ay7Go
I made a game where you try to guess a daily mystery bird.
http://jerm.cool/bird/
It pulls a list of birds reported on eBird in your county in the last 2 weeks and you ask preselected questions like the the color or size to whittle down the possibilities. I also made a matching game that uses the same list and you have to match the name to a picture of the bird. I set it up for California for now. I wanted to get more comfortable with SQL and APIs.
Feedback welcome.
I like the idea and I would play it, but the system of coming up with questions and then having to answer them in order to narrow down the options is unintuitive. Can I see a picture of the bird? Can I hear its call? Can I guess species and see categories get narrowed down? Those aren't necessarily what you need to add, but they're what I'm used to for daily games, and what I expected when I clicked the link.
I like those! A picture of the bird would be the matching game. I want to add a bird song game too. The idea was to make it like the 20 questions game. Maybe I should lean into this more. I did make something where you guess the species and it narrows down through it's taxonomy.
http://jerm.cool/cafauna/
It's a bad ripoff of the much, much more fun metazooa (https://metazooa.com/play/game). I kike it but it gets real annoying when your down to 1 of 10 bats or something. I've been using it to read and edit Wikipedia articles for undeveloped pages.
PC Part Picker for hi-fi stereos: https://buildhifi.com/
I've wanted this for a long time, so I finally started building it. I've had a lot fun!
- Graph-based signal flow: Products become nodes, connections are edges inferred from port compatibility (digital, analog, phono, speaker-level domains)
- Port profile system: Standardized port definitions (direction, domain, connector, channel mode) enable automatic connection inference
- Rule engine: Pluggable rules check completeness, power matching, phono stage requirements, DAC needs, and more
I’m not a hi-fi guy but my dad is going to freak out!! He’s going to absolutely love this
Why not... hifipartpicker?
Started on making my own AI model benchmarks and leaderboard[0], after I tested MiniMax M2.5, which was supposedly good based on standard benchmarks, but peformed really poorly in practice and burned through hundreds of thousands of reasoning tokens for each request...
[0]: https://aibenchy.com
I'm building two things, both game related.
Over the last year I've been hacking on Table Slayer [0] a web tool for projecting DnD maps on purpose built TV-in-table setups. Right now I'm working on making hardware that supports large format touch displays.
Since I also play boardgames, this past month I threw together Counter Slayer [1], which helps you generate STLs for box game inserts.
Both projects are open source and available on GitHub. I've had fun building software for hobbies that are mostly tactile.
[0]: https://tableslayer.com
[1]: https://counterslayer.com
Cool! I was going to shamelessly ask if your DnD group had an open spot I could interview for :), but you're not in Austin.
(If you're a local reading this and enjoy DnD w/ roleplay and acting, email's in my profile)
Eazip (https://eazip.io) — a REST API that bundles remote files into a downloadable ZIP.
POST a list of URLs, get back a signed download link. Your server never touches the file data.
Built it because I kept writing the same server-side ZIP streaming boilerplate on every project — memory spikes, connection timeouts, ZIP64 edge cases. Now it's one API call.
Zero egress fees, ZIP64 support (4 GB+, up to 5,000 files/job), signed expiring URLs. Free tier included, no credit card needed.
One month ago, I purchased this small eink reader (Xteink 4) and I've been loving reading on that device. It made me read much more in the past month (already more than 50% through Fall or Dodge in Hell).
The stock firmware is horrible but the community has this firmware called CrossPoint. I wanted to be able to upload, manage files etc. from my iPhone on the go and also send over web articles. So I build this app CrossPoint Sync https://crosspointsync.com to do just that.
I've already published it on App Store and pending publishing on Android. The community is niche and has also been using the app, so its been fun building for my use and in turn also getting good feedback from community.
If you are using the Xteink and CrossPoint firmware, then give the app a try.
iOS App Store: https://apps.apple.com/app/crosspoint-sync/id6758985427
Android Beta: https://crosspointsync.com/android/join-beta
GitHub: https://github.com/zabirauf/crosspoint-sync
For language geeks: https://kpt.datamediate.com
KPT is a language app specifically targeted at explainable verb conjugation for highly inflected/agglutinative languages. Currently works for Finnish, Ukrainian, Welsh, Turkish and Tamil.
These are really hard languages to learn for most speakers of European languages, particularly English - we're not used to complex verb conjugations, they're hard to memorise and the rules often feel quite arbitrary. Every other conjugation practice app just tells you right/wrong with no explanation, which doesn't really help you learn when there are literally hundreds of rules to get right.
The interesting part was using an LLM to create a complete machine-executable set of conjugation rules, which are optimized for human explainability, and an engine to diagnose which rule is at fault when you get it wrong. There's several hundred rules needed for each language in order to cover all exceptions.
NB as a bonus it also works fully offline because my best practice hours are when I'm travelling and have poor connectivity.
https://e.ml A free inbrowser inbox for inspecting .eml (email) files. There are many one-off .eml viewers around but I found myself inspecting the same files many times which evolved into this concept of an inbrowser inbox. Plus, world's shortest domain (3 characters) and the domain is an exact match for the file extension, a fun novelty. Very easy to remember!
https://milliondollarchat.com a reimagining of the million dollar homepage for the AI age. Not useful, but fun. A free to use chatbot that anyone can influence by adding to the context. The chatbot's "thoughts" are streamed to all visitors.
Still working on https://kavla.dev
I have worked with data for a while. I feel like our tools could be much better when it comes to "flow". I want an experience where you don't need to alt+tab to slack/images/another query. What if we put it all on a canvas? That's what Kavla is all about!
Since last month I've done a lot of improvements to the editor to make the "flow" better.
I've also read up on HMAC, Nonces and fun encryption stuff to create read only boards.
Here's one where I look at stack overflow survey for databases: https://app.kavla.dev/v/mqhg54o319doya4.67dbfee1ccd6caf638d3...
Snowflake users apparently make the most money!
A minimal build script of Hyprland from latest tag on Ubuntu 26.04
https://gitlab.com/kralos/hyprbuntu
I am working on Grog, the “grug-brained” alternative to Bazel. Bazel has a very steep learning curve and is pretty much overkill for most medium-sized teams. Grog already powers all of our internal mono-repo CI and is a lot more fun to work with.
https://grog.build/why-grog/
We have been homeschooling our kids. Homeschooling in India is not that widespread. So when a national newspaper covered our experiment, I got lot of questions around what we were doing. For a while I wrote blog posts answering them.
Now I've written quite a few posts (and given talks), I thought of writing a book. Just wrote two chapters. The draft lives here: https://www.jjude.com/books/hs/
Hi. Garry. I hope you’re doing well. I wanted to briefly introduce myself.
I’m a Senior Full Stack Engineer with over 8 years of experience building and scaling production systems using Node.js, TypeScript, React, and Python. I’ve worked in remote, product-focused environments where I’ve led architectural improvements, including migrating a monolithic system to microservices, reducing deployment time by around 50% and improving scalability and reliability.
I’m comfortable owning features end-to-end — from system design and API development to deployment, performance optimization, and production support. I’ve also implemented CI/CD pipelines, improved database performance (PostgreSQL), and contributed to cloud-native infrastructure on AWS using Docker and Kubernetes. In addition, I’ve worked on AI-driven workflows and LLM integrations for modern product capabilities.
I’m currently exploring new remote opportunities and would love to connect if you’re building or scaling a product where strong backend architecture, clean execution, and ownership matter.
If it makes sense, I’d be happy to schedule a short conversation. Thank you.
I'm building an image editor for macOS. Don't really like Affinity or GIMP so thought I'd go ahead and make my own. https://skullrocksoftware.com
Love the aesthetic of your app, old school GUIs ftw!
Thanks! I'm hand drawing all the icons which is slow going, but I'm drawing them in Mojave Paint. Nothing better than eating your own dogfood.
https://monohub.dev — a new EU-based (hosted and developed) GitHub alternative. Currently, it has a file browser and a PR review tool. Started off as a personal tool, but grew enough to consider offering as a service.
I posted about it recently on HN (https://news.ycombinator.com/item?id=47199062):
It is at a fairly early stage of development, so it's quite rough around the edges. It is developed and hosted in EU.
I have started developing it as a slim wrapper around Git to serve my own code, but it grew to such extent that I decided to give it a try and offer it as a service. It doesn't have much at the moment, but it already has basic pull requests. Accessibility is high priority.
It will be a paid service, (free for contributors) but since it's an early start, an "early adopter discount" is applied – 6 months for free. No card details required.
I would be happy if you give it a try and let me know what do you think, and perhaps share what you lack in existing solutions that you would like to see implemented here.
I used Rust to build a terminal based IDE for parallel coding cli workflow. It works with Claude Code, Codex and Gemini!
My favorite features are: - custom layout and drag and drop to change window - auto resume to last working session on app starting - notifications - copy and paste images directly to Claude Code/Codex/Gemini CLI - file tree with right click to insert file path to the session directly
OH and it works on both Windows and MacOS! Fully open source too!
https://github.com/oso95/Codirigent
Still working on
- https://github.com/rumca-js/Internet-Places-Database - database of domains and youtube channels
- https://github.com/rumca-js/crawler-buddy - web crawling / web scraping tool
- https://github.com/rumca-js/webtoolkit - web crawling toolki
- https://github.com/rumca-js/Internet-feeds - feeds databse
- https://github.com/rumca-js/Django-link-archive - RSS reader
I built a simple joke tool to analyze all the rejection emails (over 1600) that I got during the recent job searches and create simple bar graphs from it. Wrote a blog about it https://github.com/khante/l here https://rohankhante.substack.com/p/thank-you-for-your-applic....
PS - The results are entirely obvious.
I'm working on Firefly, a programming language for full stack webapps:
https://www.firefly-lang.org/
I'm trying CM108AH with external ADC (for lower mic noise). I'm at the stage that I opened datasheets for both and started kicad.
https://github.com/AzimovParviz/openblaster/tree/qt6
I wrote a CLI utility last year to control my SoundBlasterx G6 DAC (can only control LED colour and EQ bands) without needing to use Creative's windows only program (I am mostly a Mac + occasional Linux) user.
Recently downloaded Qwen3-coder-next 80b model and been vibing with it to introduce Qt6 and write a dead simple (aka ugly) crossplatform GUI to it so that other people can use it on their Macs and Linux machines. Letting a LLM wreak havoc on your project feels bad, I constantly have to reign it in and rollback the repo once it starts looping due to writing something that doesn't compile, making it going back and forth between doing and undoing changes.
I’m working on a 2D top-down Zelda-style adventure MMO game. I’m imagining it as a persistent world with Minecraft-like building and procedurally generated quests. I’d like to focus on co-op adventuring and social rather than pvp. Kind of a D&D experience I suppose, though that’s not really a direct inspiration for me.
I have no illusions that this is actually something in capable of building to an actual release-able state but it’s fun to tinker with.
I am building ReifyDB(reifydb.com), a database for live application state.
A lot of existing databases are storage first, with everything else built around them. I have been exploring what it looks like if the database is closer to the application runtime itself, where state is live, queryable, and easier to reason about directly.
One thing I am prototyping right now is database-native tests.
Basically: what if integration tests were a database primitive?
CREATE TEST test::insert { INSERT test::users [{ id: 99, name: "Ghost" }]; FROM test::users | FILTER id == 99 | ASSERT { name == "Ghost" }; };
So not a wrapper, not a framework, not an external test runner.
A real test object inside the database.
The idea is that you could run these before schema changes, and make stored procedures or other database logic much easier to test without leaving the database model.
Still early, but it feels like one of those things that should just exist, especially for databases built around live application state.
I'm building web-based CAD software for woodworkers. Not a plugin, I'm starting from scratch. I'm aiming for it to be intuitive for non-technical users (think SketchUp), while also offering some of the more powerful tools of "proper" CAD tailored for woodworking: simple parametric workflows, cutting layout optimization, built-in tools like chamfers and joints,...
https://maqet.app
Wanted to see if AI could figure out how to compress executable binaries better than existing generic tools without me actually knowing much about compression engineering or ELF internals.
The result is an experiment called fesh. It works strictly as a deterministic pre-processor pipeline wrapping LZMA (xz). The AI kept identifying "structural entropy boundaries" and instructed me to extract near-branches, normalize jump tables, rewrite .eh_frame DWARF pointers to absolute image bases, delta-encode ELF .rela structs with ZigZag mappings, and force column transpositions before compressing them in separated LZMA channels.
Surprisingly, it actually works. The CI strictly verifies that compression is perfectly reversible (bit-for-bit identity match) across 103 Alpine Linux x86_64 packages. According to the benchmarks, it consistently produces smaller payloads than xz -9e --x86 (XZ BCJ), ZSTD, and Brotli across the board—averaging around 6% smaller than maximum XZ BCJ limits.
I honestly have no idea how much of this is genuinely novel versus standard practices in extreme binary packing (like Crinkler/UPX).
Repo: https://github.com/mohsen1/fesh
For those who know this stuff:
Does this architecture have any actual merits for standard distribution formats, or is this just overfitting the LZMA dictionary to Alpine's compiler outputs? I'd love to hear from people who actually understand compression math.
My 8-year-old is learning English and loves Peppa Pig. I thought — what if he could actually pick up words from watching it? Not "tap the apple" drills, but learning from the show he already loves.
So I built YouLingua (https://youlingua.world). Paste any YouTube video and get a word-by-word interactive transcript. Click a word to save it with the exact video moment — "muddy puddles" isn't a flashcard, it's Peppa jumping in one. Saved words then power mini-games: a space shooter, hex puzzles, TikTok-style review shorts...
Browser-based, no install. Login with a Web3 wallet — no grand reason yet, just something I'm interested in. Dream is to eventually make it fully decentralized so you truly own your learning data.
Still early, but my son now asks to "play the word game." That feels like a win.
https://github.com/hsaliak/std_slop a sqlite centric coding agent. it does a few things differently. 1 - context is completely managed in sqlite 2 - it has a "mail model" basically, it uses the git email workflow as the agentic plan => code => review loop. You become "linus" in this mode, and the patches are guaranteed bisect safe. 3 - everything is done in a javascript control plane, no free form tools like read / write / patch. Those are available but within a javascript repl. So the agent works on that. You get other benefits such as being able to persist js functions in the database for future use that's specific to your codebase.
Give it a try!
A visual explorer for the trees of San Francisco.
https://greenmtnboy.github.io/sf_tree_reporting/#/
For all the places it's bad at, AI has been fantastic for making targeted data experiences a lot more accessible to build (see MotherDuck and dives, etc), as long as you can keep the actual data access grounded. Years of tableau/looker have atrophied my creativity a bit, trying to get back to having more fun.
Nice! I’ve been working on https://treeseek.ca which is a different use case from most of the other open data tree sites I’ve seen — I want to be instantly geolocated and shown the nearest trees to me. I do a lot of walking and am often mesmerized by a particular tree, and I wanted something to help me identify them as quickly as possible, with more confidence and speed than e.g. iNaturalist (which i do also use).
This is an app that’s been bouncing around in my head for over a decade but finally got it working well enough for my own purposes about a year and a half ago.
Oh that's great! I was finding fun tree collections and wanted to go see them - unfortunately not in SF so not likely - but your app has some nice data around me that I can check out! Are you primarily using OSM data?
I was thinking of a google maps kind of "here you are, here's your walking path of interesting trees" potentially, or something else that could tie the overview to the street experience - on the backlog!
awesome. we have an official one in nyc. https://tree-map.nycgovparks.org/tree-map
I had some ambitions of merging in other city tree data but hadn't gotten around to exploring it yet - NYC might be a good place to start!
Building DynoWizard [1] - tool for designing single table DynamoDB tables.
I first used DynamoDB 8 years ago and have been designing single-table schemas heavily since. For me, the best way to create drafts was always pen and paper (and then excel/confluence tables), but in reality it's a process (based on The DynamoDB Book) that can be automated to an extent.
Decided to build an app while on paternity leave. You define entities and access patterns, create (or get suggested) key and GSI design, and generate code for access patterns (TypeScript and Python), infrastructure (CDK, CloudFormation, Terraform), and documentation you can share with stakeholders.
There's more I want to build beyond the MVP - things around understanding and validating designs that you can't get from a chatbot - but for now focusing on the core.
If anyone wants to try it out, sign up for the waitlist on the landing page. MVP should be ready in the next few weeks.
[1] https://www.dynowizard.com
A lightweight framework on top of Temporal for building reliable, stateful AI agents on top of temporal.
Think OpenClaw, but durable, with long-term state, and enterprise-ready. We've been using it internally to build agents for a while now and have decided to open-source it.
https://github.com/bead-ai/zeitlich
I’m building a decentralized Drone-as-a-Service (DaaS) orchestration layer that treats aerial robotics as a simple API endpoint.
The system allows users to submit a JSON payload containing geocoordinates and mission requirements (e.g., capture_type: "4K_video" | "IR_photo"), the backend then handles the fleet logistics, selecting the optimal VTOL units from distributed sub-stations based on battery state-of-charge and proximity.
Does anything similar like this already exist? Ie how do drone shows get planned today?
I'm making a PC game called Doggy Don't Care. You're a dog left at home alone getting up to mischief https://store.steampowered.com/app/2438180/Doggy_Dont_Care/
It must be fun to think of all the mischief a doggo can get into :)
I finally decided to try and make a note taking tool I've been wanting to use. https://chrononotes.com/
As many here, I've found that a single text file is all that I really need, but found that it makes it difficult to keep track of a variety of things. I was also trying to use the file as a simple project tracker, adding some tags like [BUG-N], and updating them by hand. Eventually, it became difficult to track the progress of things, since I had to jump around the file to look for updates.. or use grep.
I condensed the idea to just that - a very simple tool which manages "trackers", and has a simple filtering built in to "trace" the updates. I've been using it, since I've added the BE, and dogfooding it a bunch. Would love for fellow note takers to take a look. It's not perfect, but I'm keeping it around for myself :)
This looks great if combined with versioning system. As part of git repor for example. But, for general journaling, I would not trust something that does not leverage the strengths of a filesystem.
I am creating AI coding framework (a set of skills and scripts, really), since it seems a lot of them don't support copilot.
I don't think what I am doing is really original, but it's shaping nicely.
I am working on:
- feature folders (one folder per feature, with changelog, issues, summaries etc)
- coworkers (cli-agents, with session management)
- agents intra-response messaging
In general the goal is forcing Claude to behave, which is quite ambitious :).
A soccer web game where you are the coach and your only possible interaction is shouting (ie typing) messages to your players from the sidelines. An LLM interpret your messages and pass instructions into the game engine.
It is a pretty fun project
I could see this being a very eye opening game if you added "Fan" and "Parent" modes. In "fan" mode nothing you said would affect the game, although maybe a player would laugh once in a while. In "parent" mode, you'd have a youth soccer game where whatever you said would confuse the player and they'd perform worse.
Sounds like a fun project -- like a more interactive version of Football Manager.
An accessible color palette editor for creating branded palettes built from the ground up that pass WCAG/APCA contrast rules (which is much quicker and less of a headache compared to doing manual contrast checks and fixes later):
https://www.inclusivecolors.com/
The current web tool lets you export to CSS, Tailwind and Figma, and uses HSLuv for the color picker. HSL color pickers that most design tools like Figma use have the very counterintuitive property that the hue and saturation sliders will change the lightness of a color (which then impacts its WCAG contrast), which HSLuv fixes to make it much easier to find accessible color combinations.
I'm working on a Figma plugin version so you can preview colors directly on a Figma design as you make changes. It's tricky shrinking the UI to work inside a small plugin window!
https://llmpm.co
I have built npm for LLM models, which lets you install & run 10,000+ open sourced large language models within seconds. The idea is to make models installable like packages in your code:
llmpm install llama3
llmpm run llama3
You can also package large language models together with your code so projects can reproduce the same setup easily.
Github: https://github.com/llmpm/llmpm-dev
Also, is there is way I can invoke the models or is there an API which your tool exposes?
Yes indeed there is, run `llmpm serve <model_name>`, which will expose an API endpoint http://localhost:8080/v1/chat/completions & also host a chat UI where you can interact with the local running model https://localhost:8080/chat.
Follow the docs here: https://www.llmpm.co/docs
Pro tip for your use case: Checkout the `llmpm serve` section
Looks crazy! Thanks for building it, there is indeed a need for a npm or pip like package manager for AI Models.
Yeah :)! Just run `llmpm init` to start packaging your models along with your code.
I absolutely love pre-1800 homes and am exploring a few ideas on how to help preserve and promote them. The main thing I'm working on to that effect is https://homelore.org
It's like a carfax but for your home, although the intention is more to create an interesting historical narrative that inspires people to care about the history of their home rather than as a tool for inspecting home issues before buying.
My target customer is realtors who want to inspire buyers to take on historic homes that may need a lot of work. Also home owners themselves of course.
“Like carfax but for your home” is a really interesting idea. So many homes are bought with little-to-no history beyond an inspection of questionable thoroughness.
If this became the norm, somehow, it would be a really helpful tool for both buyers and sellers.
I'm building Fillvisa: Turboxtax for Immigration [1]
It's a free USCIS form-filling web-app(no Adobe required). USCIS forms still use XFA PDFs, which don’t let you edit in most browsers. Even with Adobe, fields break, and getting the signature is hard.
So I converted the PDF form into modern, browser-friendly web forms - and kept every field 1:1 with the original. You fill the form, submit it, and get the official USCIS PDF filled.
I found out SimpleCitizen(YC S16) offers a DIY plan for $529 [2]
So, a free (and local-only) version might be a good alternative
[1] https://fillvisa.com/demo [2] https://www.simplecitizen.com/pricing/
Keep on chugging away at The HN Arcade :) https://hnarcade.com
Over the past weeks, we consistently get 5-6 submissions per week. The newsletter and number of visitors are growing.
I’ve come to treat this as a pet project but realized that for indie devs who get very little marketing attention, being featured in the newsletter, top of the daily list, etc. can be another burst of users.
https://bettertaste.cc/ Building an iOS app that helps travelers find handpicked places with real local character: cafés, restaurants, hidden galleries across European cities. No sponsored listings, no aggregator noise.
Mostly art projects:
- VR version of Surface Browser (3d internet browser): https://boxc.net/surfacebrowser.html
- Crowd Strike: faster self-driving: an exhibition where the visitors help autonomous drones target a different visitor each minute with lasers
and also Wingman: a dating app secretary (privacy focus, runs locally on your computer for any dating app that has a web site. It tells you if favourites have messaged you): https://boxc.net/wingman_app.png I'll open source this one if interest.
I've been working on two small projects recently.
1. Live Kaiwa — real-time Japanese conversation support
I live in a rural farming neighborhood in Japan. Day-to-day Japanese is fine for me, but neighborhood meetings were a completely different level. Fast speech, local dialect, references to people and events from decades ago. I'd leave feeling like I understood maybe 5% of what happened.
So I built a tool for myself to help follow those conversations.
Live Kaiwa transcribes Japanese speech in real time and gives English translations, summaries, and suggested responses while the conversation is happening.
Some technical details:
* Browser microphone streams audio via WebRTC to a server with Kotoba Whisper * Multi-pass transcription: quick first pass, then higher-accuracy re-transcription that replaces earlier text * Each batch of transcript is sent to an LLM that generates translations, summary bullets, and response suggestions * Everything is streamed back to the UI live * Session data stays entirely in the browser — nothing stored server-side
https://livekaiwa.com
---
2. Cooperation Cube — a board game that rotates the playing field
Years ago I built a physical board game where players place sticks into a wooden cube to complete patterns on the faces.
The twist: the cube rotates 90° every round, so patterns you're building suddenly become part of someone else's board. It creates a mix of strategy, memory, and semi-cooperative play.
I recently built a digital version.
Game mechanics:
* 4 players drafting cards and placing colored sticks on cube faces * The cube rotates every 4 actions * Players must remember what exists on other faces * Cooperation cards allow two players to coordinate for shared bonuses * Game ends when someone runs out of short sticks
https://cooperationcube.com
---
Both projects mostly started as things I wanted to exist for myself. Curious what people think.
Oh that Live Kaiwa looks interesting, I might try it out this weekend with my wife and son (native Japanese). Anything to help my admittedly horrible Japanese
Shoot me an email (diasks2 at gmail.com) and I’ll whitelist your email for some free usage credits. Would love to get feedback.
I inherited a stake in a pyridine derivatives chemical plant - while I do not know much about chemical feedstocks and the chemical supply chain, I am trying to help the current partner optimize their yields and reduce losses across multiple stages of reactions across the feedstock and reagents. It is quite similar to hardware design and electrical engineering than I thought.
I have also taken an interest in learning distributed paradigms like MPI and am using it on my own cluster of rPis
I built Collider, A wrap-based package and dependency manager for Meson.
I needed a way to use and push my own artifacts in Meson projects. WrapDB is fine for upstream deps, but I wanted to publish my packages and depend on them with proper versioning and a lockfile, without hand-editing wrap files.
Collider builds on Meson’s wrap system: you declare deps in collider.json, run collider lock for reproducible installs, and push your projects as wraps to a local or HTTP repo. It’s compatible with WrapDB, so existing workflows still work: you just get a clear way to use and push your own stuff. Apache-2.0.
https://collider.ee
https://symgraph.ai/ - AI-Powered Reverse Engineering Inside Your Disassembler
Open-source plugins for Ghidra, Binary Ninja, and IDA Pro that bring LLM reasoning, autonomous agents, and semantic knowledge graphs directly into your analysis workflow.
Coming soon: A supporting online service. The VirusTotal for reverse engineering. A cloud-native symbol store and knowledge graph service designed for the reverse engineering community.
- Submit files for automated reverse engineering and analysis
- Query shared symbols, types, and semantic knowledge
- Accelerate analysis with community-contributed intelligence
- Versioned, deduplicated symbols with multi-contributor collaboration
really good idea. I'm curious to know about your datasets that you used for an RE AI.
While the plugins do support the creation of RLHF datasets for model finetuning, the plugins themselves don't currently use a custom-trained model. They support all major LLM providers (including local). I've found that with the right prompts, the frontier models are shockingly effective. And they are progressing much faster than any custom training effort I could shoestring together. As the models improve, the plugins improve.
NotifyButton - A simple script on the frontend of your site, a complete SaaS platform on the backend for DSA compliance.
If you operate in the EU and want to avoid heavy fines, this is for you. Once integrated, it allows users to report legal content issues directly to you, which you can then manage via a dedicated dashboard following official EU procedures. Without such a system, users are much more likely to file complaints through official state or EU channels, which can trigger investigations.
https://notifybutton.com/
Native macOS sandbox terminal:
- UI for sandbox-exec to protect filesystem - Network sandbox per domain - Secrets filter via gitleaks - Vertical tabs option
It's highly customizable. You generate native macOS app wrappers for each terminal app, each with its own rules and customizations.
https://multitui.com
"Does a launch make any impact if there's no audience?"
We've found most early-stage startups ignore social media until after a launch. Things like “$0 spent on ads” sound cool, but they don’t help if no one knows your product exists.
I'm building Appents to provide a done-for-you social media solution for startups.
Would love feedback: https://appents.com/
Building a new kind of news site, featuring updates from primary sources.
We're constantly pulling info from official sources, and using AI to group and summarize into stories, and continue to share reporting from trusted, vetted journalists.
The result is news with the speed and breadth of getting updates straight from the source, and the perspective and context that reporting provides.
Still ramping up, but I'd love to hear feedback:
https://www.forth.news
Didnt quite get this - if the only value prop is getting updates straight from the source (trusted/vetted journalists), what use is AI here, except for summaries perhaps?
Looks good so far. The AI summary button is nice but hard to distinguish from the background.
Need is valid. The site is showing mostly flood watch warnings - maybe cluster topics? Also don’t mess with the scroll bar - maybe the ads are doing it, but it froze and wouldn’t move down for a while.
V cool, this is a perfect llm use case
thank you -- great to hear!
I wanted to make it exceedingly easy to learn vocabulary in Catalan and Spanish.
To me good is - Pre-determined lists of words - Audio examples - Sentence examples - Native app with offline support
most importantly: - No business model that requires a subscription
I'm trying to see it more as writing a text-book, than starting a business
https://learnthewords.app
I’m working on WC Price Hostory, a plugin that handles price tracking and Omnibus Directive compliance for WooCommerce.
It’s been available as a free tool for years, growing to over 45k active installs. I just rolled out the Pro extension to offer more advanced features, and the early traction has exceeded my expectations. If you're running e-commerce in Europe, this is a must-have for staying compliant with EU law.
https://wcpricehistory.com/
I just started building an operating system that will be written entirely in one text file. This text file includes in order: a readme, a RISC-V assembly boot code, then the rest. You run it by compiling the initial boot code with a RISC-V assembler, then you concatenate the binary with the whole text file itself. Then when you run it, the boot code will compile the rest of the text file (the operating system), including higher level language compilers that the rest of the system will be written in.
This is the kind of project that creates something from as little as possible, where the only things you need to get started are a very basic RISC-V assembler and a computer or emulator to run it on.
I don't have anything interesting to show yet because I just started yesterday, but one day I will show you.
Is it also self-hosting as a sort of meta-quine?
GetSize (https://www.getsize.shoes). We’re collecting the official sizing data of the world's shoes in one place.
Today, if you search for "what size should I get in Nike Air Max 90" you'll find size charts. We have it, and for 200+ brands across 70+ retailers. When users tell us which shoes they own and what size fits them we’re slowly building crowdsourced fit recommendations which are personal and more accurate compared to size charts.
We're two coders who've built an almost fully autonomous platform. AI agents build, debug and deploy crawlers on their own. We went from 4 crawlers to 280+ in about a month, and the whole thing runs on a home server. When new shoes are discovered, the platform publishes new pages with relevant info automatically. Agents get access to platform metrics and SEO data via custom MCPs to identify the right opportunities on their own. Currently at about 3000 MAU and about 100 size recommendations/day.
Example: https://www.getsize.shoes/en/shoes/nike-air-jordan-1-low-se-...
I got laid off a while ago and I’m privileged enough to take time to reconsider what I want to do. I’ve been learning how to sketch which supports my bigger passion- printmaking. I’ve primarily been doing linocut which is carving negative space into linoleum, inking it up, and printing it on paper. I’ve got a membership at a local atelier and have branched out into drypoint, kitchen lithography, and what I guess is called LEGOpress. I’m sparking a lot of joy working with my hands every day. I have been finding adequate challenge in honing my craft as I try to figure out how to draw/carve the images I see in my mind.
Been recently playing around with using LLMs and the promise of malleable software.
Published a demo/experiment under MalleableTodo [1] - and so far seen some pretty strange use cases...
Essentially, just allows each user to use an LLM to rewrite their own UI to add features/customisation.
[1] https://malleabletodo.app/
When I have time between freelance work I make games and tools for myself.
Put One In for Johnny Minn (https://store.steampowered.com/app/3802120/Put_One_In_for_Jo...) - A small soccer game all about scoring nice goals. While I don’t expect it to do well, I’m very happy with how it came out, and it’s the first game I’ve made that I’ll release on Steam! Comes out on Thursday (March 12th).
HeartRoutine (https://www.heartroutine.com/) - I built this a few months ago to help me stay on top of my heart health. I enter my numbers on the (offline) app, and then configure my goals (like “lower Apo B through diet and exercise”), and then the server emails me every morning asking me what I ate yesterday, how I exercised, etc. The goal is to stay on track, and to be able to bring a cardiologist a very detailed report.
Have been working on three micro-saas, all built in Elixir/Phoenix:
https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.
https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.
https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".
I wrote this Telegram bot that translates any video with AI-generated subtitles in about 2 minutes. You paste a YouTube, TikTok, or Instagram link, pick your language, and get back the video with burned-in subtitles.
It started because my wife watches Chinese dramas and new episodes never have subtitles for our language. Turns out thousands of people have the same problem — Arabic speakers watching anime, Russian speakers following Turkish series, Persian speakers catching up on K-dramas.
Supports 40+ languages, works with any video link or direct file upload. There's also a Mini App inside Telegram for a more visual experience.
https://t.me/subly1bot & https://subly.xyz
This looks cool, but what I'd really like is a self-hosted version that I could use to auto-subtitle videos I already have locally. This would help my language learning a great deal.
If any of you have already figured out a tool/workflow for this, I'd love to learn from your experience.
This thread prompted me to look into this. It seems that all I need is a thin wrapper around whisper-ctranslate2. So I wrote one and am playing with it right now.
I'm finding language auto-detection to be a bit wonky (for example, it repeatedly identified Ladykracher audio as English instead of German). I ended up having to force a language instead. The only show in my library where this approach doesn't work is Parlement[1], but I can live with that.
On the whole this is looking quite promising. Thanks for the idea.
[1] https://en.wikipedia.org/wiki/Parlement_(TV_series)
Hey this looks cool but wanted to highlight a bug. I opened the bot, tapped on sample video and I got the “translating a sample Turkish drama…” message twice. Then it said “your first translation is ready” so I press view in the app and the recent list shows the duplication. It says the first one is ready but the second was in progress. I close the app and see a “our whale friend is gathering video” with a progress bar. So I guess it’s not ready? Then I get a failure message which looks like the second video failed? Anyway, cool idea but it seems buggy and I think the app UX could be simplified, good luck!
Side project - plan mode and code review annotations for coding agents (ui that integrates via hooks): https://github.com/backnotprop/plannotator
Main gig: Trusted agents. We just shipped hardware based signing to web bot auth protocol.
I just launched bookcall.io publicly last week. Think calendly that treats your scheduling page more like a sales funnel. Very important if one call can make you a bunch of money. Page builder, brand assets, videos, documents etc. attachable. Forms, video calls, everything included.
Also launching a supabase security scanner. If someone wants a free scan hit me up. Includes POCs and verification before and after remidiation. Goodbye false positives.
I've been celebrating five years of working on OnlineOrNot (https://onlineornot.com/) by adding more features for teams that build software:
- 2FA, PassKey, and password-based login for folks that hate magic links
- Moved my entire API from GraphQL to REST so I can fully dogfood the API I offer
- Added an audit log as standard on all plans
- Built a terraform provider (https://github.com/OnlineOrNot/terraform-provider-onlineorno...), and a way to download existing config into terraform files
- Started iterating on a CLI (https://github.com/OnlineOrNot/onlineornot)
I'm working on a personal recipe site called Struggle Meals, in the genre of https://traumbooks.itch.io/the-sad-bastard-cookbook and https://old.reddit.com/r/shittyfoodporn/, for food I ate when I felt too poor / depressed / tired / chronically unwell. Some of them are just normal adulting recipes. Some are meal prep. Some are too struggly for a legitimate recipe site.
I have some barebones content at https://struggle-meals.wonger.dev/ and will be working on the design over the next few weeks. Some decisions I'm thinking about:
- balancing between personal convenience and brevity vs being potentially useful for other people. E.g. should I tag everything that's vegan/vegetarian/GF/dairyfree/halal/etc? Should I take pictures of everything? (I'd rather not)
- how simple can I make a recipe without ruining it? E.g. can I omit every measurement? should I separate nice-to-have ingredients from critical ingredients? how do I make that look uncomplicated? (Sometimes the worst thing is having too many options)
- if/how to price things? Depends on region, season, discounts, etc
I made my own AI personal assistant:
https://github.com/skorokithakis/stavrobot
It's like OpenClaw but actually secure, without access to secrets, with scoped plugin permissions, isolation, etc. I love it, it's been extremely helpful, and pairs really well with a little hardware voice note device I made:
https://www.stavros.io/posts/i-made-a-voice-note-taker/
I'm working on arranging talks and poster presentations at various conferences/seminars to spread knowledge of my latest academic paper, "Specieslike clusters based on identical ancestor points". In the paper, among other things, I argue that (we should define species in such a way that) for any organism in any species, either the species is made up almost entirely of descendants of that organism, or else the species is made up almost entirely of non-descendants of that organism. This is a funny property because most people who hear about it fall into one of two camps, those who say it is obviously true, and those who say it is obviously false!
The paper in question: https://arxiv.org/abs/2602.05274 (published in the Journal of Mathematical Biology)
3D AI Modeling software intended for 3D printers.
https://grandpacad.com
Originally I made it for my grandpa, but I got a lot of interest so I made it into a full commercial product.
Just yesterday I published a set of 3 mini tutorials if you want to see how it works - https://youtube.com/playlist?list=PLKt1F5TvOjAHE07oBDlPXcrHc...
I am working on Kastanj. It aims to make cooking as foolproof as it can get. Anyone should be able to cook any recipe and get it right on the first try. Clear step by step images and instructions for everything etc.
It also features a recipe manager with family/friends sync. This makes it possible to upload your grandmother’s cookbook and share them with your whole family.
https://kastanj.ch/
Nonograms! I built Nonodle[1], a daily nonogram puzzle game and I’m adding an option to access these puzzles from Nonoverse[2], my iOS nonogram app.
There is an API, and it’s a straightforward task, but one thing led to another and I’m also improving the app UI. The update will take some time but I hope it will only be better.
[1]: https://lab174.com/nonodle/
[2]: https://apps.apple.com/app/nonoverse-nonogram-puzzles/id6748...
https://notepad95.com/ I still use regular notepad.exe and text files to take meeting notes. But I thought it'd be fun to have a seperate browser tab for it.
https://github.com/nickbarth/closedbots/ I was also trying to do a simplified openclaw type gui using codex. The idea being its just desktop automation, but running through codex by sending codex screenshots and asking it to complete the steps in your automation via clicks and keypresses via robotgo.
Kind of funny how the notepad is faster than opening notepad installed on my machine lmao
Designing a conversational UX for Bookmarker.
I was stuck on this conversation problem. First version had a dead-end search box: six starter prompts, one referencing a tool that didn't exist. No follow-ups. No guided flows. Users got an answer and had to invent the next question from scratch.
Now the assistant explores your library with you. Tag discovery, color browsing, weekly digests, smart collections that auto-curate as you save.
Semantic search runs hybrid, keyword matching plus pgvector cosine similarity on 768-dim embeddings. Streaming responses.
Almost there. https://bookmarker.cc/
https://talimio.com/ Generate fully personalized courses from a prompt. Fully interactive.
New features shipped last month:
- Adaptive practice: LLM generates and grades questions in real-time, then uses Item Response Theory (IRT) to estimate your ability and schedule the optimal next question. Replaces flashcards; especially for math and topics where each question needs to be fresh even when covering the same concept. - Interactive math graphs (JSXGraph) that are gradable - Single-image Docker deployment for easy self-hosting
Open source: https://github.com/SamDc73/Talimio
Very cool! I'm chaperoning a python club for teens these days, I should make use of this concept!
i was delighted to see your comment at top... I am working on the exact same thing, generating concept DAGs from books and letting a tutor agent use it for structure and textbook reference. can we discuss this somewhere else?
yeah sure, my email is in the bio
I am working on two small apps for my dungeons & dragons group. We're playing inperson and I really like to give them printed out cards for magic items they receive and also for spells, because they are quite new to the game.
So I build these two app to create items and spell cards and print them out.
https://www.item-forge.org/
https://www.spell-forge.org/
Not sure if people interested, but since I use sqlite in a lot of my own projects, I am working on a lightweight monitoring and safety layer for production SQLite.
The idea is pretty simple: SQLite is amazing, but once it’s running in production you basically have zero observability. If something weird happens (unexpected writes, schema changes, background jobs touching tables, etc.) you only find out after the fact. It tries to solve that without touching application code. It's a Rust agent that runs next to your sqlite file, and connects to the server where everything is logged in. My current challenge right now is encryption and trust, mostly.
Curious if others here are running SQLite in production and if you would be interested in something like this.
Building a cheaper alternative to Twilio Voice Intelligence. Record phone calls, transcribe, generate AI summaries, enable semantic search over transcripts — $0.30/hour vs Twilio's $1.50/hour.
Stack is 15+ Go microservices on k3s. Cross-lingual semantic search is fun. Spanish query returns English calls with no translation code.
https://audiotext.live/
https://docules.net/about
I've been building a collaborative docs tool called Docules. The short version: it's a team documentation tool that doesn't have any embedded AI features. I use Claude Code daily, but putting LLMs into every workflow and charging for it is kinda insane. Every docs tool is adding AI auto-complete, AI summaries, "generate a page" buttons. Docules has an API and an MCP server instead, so you connect whatever AI tools you actually want to use. The core product focuses on being a fast, solid docs tool. Real-time collab, fast — no embedded databases or heavy view abstractions, hierarchical docs, drag-and-drop, semantic search, comments, version history, public sharing, SSO, RBAC, audit logs, webhooks, etc. The stack is React, Hono, PostgreSQL, WebSockets. The MCP server is a separate package that exposes search, document CRUD, and comments — so Claude/ChatGPT can work with your docs without us reimplementing a worse version of what they already do. Happy to talk architecture or the MCP integration.
I'm never clear if this Ask HN is for posting about what you're messing with or for promoting organized projects that chase github stars or are commercial.
But anyway, I've started to learn Go. By doing a vertical scrolling shooter with embiten. Kinda like fitting a square peg into a round hole. No, it's not public and will probably never be.
Studying how do do a memory pool for actors, since it doesn't look like garbage collection and hundreds of short lived bullet objects will mix well.
https://getvalara.com - PDF appraisal document in, grounded appraisal review out in 5-10 minutes to aid in risk management for lending institutions and individual appraisal reviewers.
We use landing.ai to parse the PDF, as well as useworkflow.dev to durably perform other work such as rendering PDF pages for citations, and coordinating a few lightweight agents and deterministic checks that flag for inconsistencies, rule violations, bias, verify appraiser credentials, etc. etc. Everything is grounded in the input document so it makes it pretty fast and easy. We’re going to market soon and have an approval sign up gate currently. Plenty of new features and more rigorous checks planned to bring us to and exceed parity with competition and human reviewers.
There’s plenty of margin for cost and latency versus manual human review, which takes an hour or more and costs $100 or more.
Cakedesk: Fast & simple invoicing app for small businesses (Windows & Mac).
Been working on this for about 4 years. It has some cool features, like letting you create your own PDF templates with HTML/CSS. Most users love that it's so simple and just a one-time purchase.
Currently thinking about how to implement an Obsidian-style cloud sync feature since that gets requested a lot.
https://cakedesk.app
I’m working on VineWall (https://vinewallapp.com), a network tunnel that helps you fight doomscrolling by making your internet slower when it detects you spent too much time scrolling.
At this moment I’m working on improving the logic that decides when/how much to throttle the network.
Working on...
- Tablex (https://www.tablex.pro) - seat arrangement app for weddings, seminars, conferences.
- Kardy (https://www.kardy.app) - group card app I've always wanted to build.
- Jello (https://www.jello.app) - Create games with your own photos and sound effects!
I played with Jello a bit. This might be fun for a family get-together. Bookmark'd.
I am working on a P2P VPN app that lets you use a friend abroad as your VPN provider with no special setup: https://spora.to
It's mainly for censorship evasion (should be much harder to block than the regular centralized VPNs), but also for expats to access geo-blocked domestic services.
It's at the MVP stage and honestly it evoked much less interest in people than I hoped it would, but I'm still going on despite my better judgement.
https://gitlab.com/usecaliper/caliper-python-sdk
An LLM observability SDK that let's you store pre and post request metadata with every call in as lightweight an SDK as possible.
Stores to S3 in batched JSON files, so can easily plug into existing tooling like DuckDB for analysis.
It's designed to answer questions like; "how do different user tiers of my services rate this two different models and three different systems prompts?". You can capture all the information required to answer this in the SDK and do some queries over the data to get the answers.
A music livecoding app[0], it's open-source[1] and it's been in the works for years in various iterations, but I've finally settled on the format and delivery. I'm now trying to make it as newbie friendly as possible by doing tutorials[2] and videos[3] and having ready-made instruments[4] to begin with. Thinking also to expand it as a general purpose creative editor in a standalone electron app and bundle in other livecoding languages as well, for graphics also.
[0]: https://loopmaster.xyz
[1]: https://github.com/loopmaster-xyz/loopmaster
[2]: https://loopmaster.xyz/tutorials
[3]: https://www.youtube.com/@loopmaster-xyz
[4]: https://loopmaster.xyz/docs/synths/bongo
Alfred/Spotlight like quick access search[1] for Bitwarden.
Built and adding few add on features on the way: copy card numbers and view notes.
[1] https://pwtray.app
With Rust, bwc-cli - it decrypts vault into zeroize and provides near instant search with hotkey.
StoryStarling. You describe a story idea and it generates a fully illustrated children's book, then we print and ship it.
Not templates with names swapped in. Every story and illustration is made from scratch. You can go from "dinosaurs soccer" or write out a whole storyline. Pick an art style, optionally upload reference photos of your kid, and it builds a 28 page book in a few minutes.
Bilingual in 38 languages. We handle RTL (Arabic, Hebrew), CJK, and less common languages like Estonian, Maltese, Irish where there's not much available for kids.
Tech side for the curious: LangGraph orchestrates the pipeline, Celery workers do image generation and text rendering in parallel, and LLMs critique the illustrations for consistency mistakes and can trigger regenerations automatically.
Printed in Germany, booklet around 20 EUR, hardcover around 40 EUR.
https://storystarling.com
I'm porting Jetpack Compose to Rust. The Rust would be the future default ai language. Having the familiar well designed by Google UI API will help Android developers to be in a loop. https://github.com/samoylenkodmitry/Cranpose
I've been building https://lan.events. It's been built entirely with an LLM as I've been learning more concepts behind agentic engineering for reliable development with an LLM. The primary reason I built it is because LANs are disappearing and they were a formative part of my childhood. They were a way to connect with people that I knew from all over the world. I still have some lasting friendships from the big and small LANs I went to as a kid. LANs are free for 50 and under so please sign up and if you have feedback, send it through the support system!
I love the idea and am working on something similar around getting more IRL events out in the world with https://onthe.town
I do wonder if the problem is not so much having a place to find LAN events but actually just having enough people put on LAN events in the first place. It feels like a thing of the past with how much less people interact in person these days. It's a shame because LANs are awesome!
Have you thought about ways to make it easier for people to host LAN events? Or does this solve that as well? I guess a solution would require matching random people together. Happy to discuss more - nick at onthe.town
I’ve been iterating on nights and weekends on a hackers news like website that sources all content from engineering blogs (both personal and company blogs). I have about 600 of the total 3k rss feeds I’ve collected over time loaded up, just tweaking things as I go before dropping the whole list in there: https://engineered.at
While the main app is closed sourced, the rails engine that handles all the rss feeds is open sourced here: https://github.com/dchuk/source_monitor
I have another version of source monitor getting by published soon with some nice enhancements
Mostly Jolteon (https://github.com/lautarodragan/jolteon), a TUI music player written in Rust (for almost 2 years now!)
Also used the new Navigation API (and some Shadow DOM) to build a cheap, custom client-side rendering (sort of) into my site (https://taro.codes), and some other minor refactors and cleanup (finally migrated away from Sass to just native CSS, improved encapsulation of some things with Shadow roots, etc).
I've been wanting to write a simple AI agent with JS and Ollama just for fun and learning, but haven't started, yet...
I was exploring a spec development system (similar to the likes of openspec) but with specifications that are more succinct. One of my frustration with openspec is the number of files that are generated from the proposal, to the design and implementation.
https://tinyspec.dev/
I'm rewriting a shipping app, that is just over two years old.
This is a "full rewrite," because I need to migrate away from my previous server, which was developed as a high-security, general-purpose application server, and is way overkill for this app.
Migration is likely to take a couple more years, but this is a big first step.
I've rewritten the server, to present a much smaller API. Unfortunately, I'm not yet ready to change the server SQL schema yet, so "behind the curtain" is still pretty hairy. Once the new API and client app are stable, I'll look at the SQL schema. The whole deal is to not interfere with the many users of the app.
I should note that I never would have tried this, without the help of an LLM. It has been invaluable. The development speed is pretty crazy.
Still a lot of work ahead, but the server is done, and I'm a good part of the way through the client communication SDK.
I'm building out https://measuretocut.com, which started as a tool for myself to help with planning board cuts (and now sheet cuts). It calculates how much material you need for your project and gives you a plan for the materials and shows all the cuts you need to make and where to make them.
First release was in December for 1D cuts. Last month I released sheet cutting for 2D cut calculation. It's been working well for my own projects and it started getting consistent daily users since my last update in February. You can save projects now on the site for you to come back to later.
Any feedback is welcome. I'm always looking for what features to add next.
I wrote this little web app over the weekend, the idea was to make you think about your next purchase by introducing a 48 hour countdown. In 48 hours you come back and decide if you really need this product, or if it was just an impulse buy.
All data lives in your browser (IndexDB) - https://buyitlater.vercel.app
I just add things to my Amazon wish list. I never buy anything from the list but it seems to put the idea out of my mind.
Still working on:
https://www.votivus.org
A hobby project I started putting together late last year; a little spot on the internet for prayer and reflection. I've just shipped a small feature where you get a Bible reading (KJ only for now) in response to a prayer.
https://dugnad.stavanger-digital.no/
A pro bono tech consultancy for local (Stavanger, Norway) non profits. The idea is to help them use tech to better deliver on their mission. Last week I built a little bookmarklet for a non-profit to surface some of their data buried in a SaaS tool ... which will make their apple pressing operation easier.
Have been building a project https://github.com/openrundev/openrun/ which aims to make it easy for teams to easily deploy internal tools/webapps. While creating new apps has gotten easier, securely deploying them across teams remains a challenge. OpenRun runs as a proxy which adds SAML/OAuth based auth with RBAC. OpenRun deploys containerized apps to a single machine with Docker or onto Kubernetes.
Currently adding support for exposing Postgres schemas for each app to use. The goal is that with a shared Postgres instance, each app should be able to either get a dedicated schema or get limited/full access to another app's schema, with row level security rules being supported.
Still working on my network monitoring tool.
Since last time, added a "landing-page" kind of website [0], added annotations with BGP events, support for IPv6, and finishing TLS for every communication between probes and central servers.
About to open for beta testers, and still very much interested in comments esp. regarding the UI.
[0]: https://www.cloudywithachanceoflatency.net/
Atomically precise manufacturing. We are perfecting a method for 3D printing silicon & diamond atom-by-atom, with every atom bonded where you want it. At small scales this gets us precise nanophotonic and quantum devices with precisely placed defect centers in silicon. As we scale, we will bootstrap full molecular nanotechnology including replicative scale-up to industrial levels.
Email address in profile.
A webapp combining note taking with messaging. Recently added a new feature that allows for creating communities in a lightweight discord-like UI:
https://kraa.io/kraa/trees
I've been working on a surfing game on my spare time for the past year. The idea is to keep it closer to the real sport, focusing on pumping, carving, nose-riding, etc. I shared a video of it on the Unity3D subreddit[1] and the feedback was quite positive, so planning on getting a demo ready as soon as possible!
[1] https://www.reddit.com/r/Unity3D/s/mB2kn0BxIT
To reverse engineer old C64 games using Coding Agents, I built a CLI and MCP flow disassembly tool. The agent can search the disassembly, provide annotations, manage symbols, and reinterpret code and data.
[0] https://github.com/s-macke/OpcodeOracle
Hoopi Pedal: A 2-channel digital effects + recording pedal, based on the Daisy Seed and the ESP32 [1]. PCB design, embedded firmware, DSP and Flutter app - all are mine. Some technical notes on firmware (OTA updates, etc.) and Flutter app dev (using native methods for vidoe-audio sync, auto cross-correlation, etc.) are published on my blog [2].
[1] https://www.crowdsupply.com/scope-creep-labs/hoopi-pedal [2] https://scopecreeplabs.com/blog/?tag=hoopi
I’m building an application for documenting modular patches, mostly for my own use case. It uses ML to recognise the patch points, knobs and toggles from a photo of the front panel. You can then build racks from the scanned modules and then store presets of the knobs and connections which are displayed as simple schematics. Idea is ultimately to have it on an iPad as reference to accompany a live performance. Had some fun fine tuning the cable physics engine.
I've been working on an open source cat-themed virtual pet running on an ESP32: https://github.com/moonbench/catode32
It was inspired by tamagotchis of yesteryear (and my two cats). It uses a small common monochrome SSD1306 display with 128x64 pixels of resolution.
All of the pixel art is my own. And the cat features a bunch of different animated poses and behaviors, as well as different environments. And there are minigames (a chrome dino clone - but with a cat!, a breakout clone, a random maze generator, a tic-tac-toe game, and I plan to add more.)
I'm currently working on tweaking the stats so that they go up and down over time in a realistic way and encourage the player to feed and interact with the pet to keep stats from going too low. Then I plan on adding some wireless features, like having the pet scan WiFi names to determine if its home or traveling, or using ESP-NOW to let pets communicate with each other when they're nearby.
I made a reddit post with a video of it a few weeks ago [1] and have various prototypes of artwork for these little screens on my blog [2].
[1] https://www.reddit.com/r/arduino/comments/1r8i1vx/progress_o...
[2] https://moonbench.xyz/projects/tags/SSD1306/
Building ConvoLens [1] - app to explore the content of video interviews from YouTube channels I like (such as Dwarkesh Patel's): research by keyword, RAG, visualization of discussed topics with a 2D projection, semantic graph, and the possibility to generate a new video or audio from a playlist of video segments.
Supports only YouTube as the data source, and Gemini 3.1 Flash Lite for processing, but it can easily be tweaked. Runs locally with Docker compose.
[1] https://github.com/didmar/convolens
I am working on https://beta.colorguesser.com/ - a small daily color guessing game.
A few years ago it started as colorguesser.com - which is not much maintained, but since there are many new users enjoying this small game, I decide to invest more time and add more feature.
A solo gamedev project; upgrading my free Skyrim mods; thinking about learning vibe-coding for the little "web 2.0" side-project idea of old, seems could be fun to squeeze it in.
Building an AI graphic designer that takes you text and converts into a finished design based on your choosen size, style and branding.
Currently optimized for restaurant menus but maybe we should expand to other type of long-form materials like brochures and infographics.
https://correctify.com.cy/
A no-code platform for building SaaS apps with AI (serverless): https://saasufy.com/
I've been working on an AI workspace inside Neovim (and using the editor as the TUI). When I started, I asked myself, "Wait, WHAT?! Another one? Who would use this?" However the goal was never about eyes (well, GH stars) on this new thing, it was about learning. I wanted to dig deeper into how modern-day tools work so I can understand the sort of 'magic' I was experiencing using tools like Claude Code. The more I've been working on this side project, the more I understand about AI systems, agent loops, prompt engineering and all the cleverness that goes into making a good, usable, magical AI agent.
Working on update of linux-insides (https://github.com/0xAX/linux-insides) adapting it for modern kernels versions
Published a post that contains all of the blog posts by other people that I shared in my monthly mail-letter: https://bryanhogan.com/blog/other-cool-blog-posts-2026
Also moving to Sveltia as my CMS (Astro markdown blog), after exploring multiple other options. Changed the structure of my Obsidian vault, will write about that also.
I’m also still working on a few projects:
- https://dailyselftrack.com/
- https://game.tolearnkorean.com/
- https://app.tolearnjapanese.com/
- https://tolearnkorean.com/
I'm working on a cross‑platform snippet manager & local code runner built with Avalonia: https://github.com/mx7b7/codesnip-avalonia
I have been using AI workflows at work to increase the productvity. I have shared these workflows internally and at a couple of tech meetups I went to. I got positive response.
Some of these are present here: https://github.com/vamsipavanmahesh/claude-skills/
Planning to package this as a workshop, so companies could be benefit from AI Native SDLC.
Put together the site yesterday https://getainative.com
Couple of the people I have worked with in the past agreed to meet me for a coffee, will pitch this. Fingers crossed.
* Remote viewing stock market trading programs - One version is with a buddy who shows me a colored board depending on the outcome for the week. The other is a solo version using a Swift app on Mac. We're just out of buggy beta (the analog version was laughably more difficult to get clean. We'll see if either works and which one wins.
* Telephone handset for my mobile phone with side talk.
* First draft of a book / workbook on Work Flow. Outcrop of the work flow consulting I do, stuff I've learned, and so on.
* Short film script - trying to convince a local actor to play the lead before we lose the rainy season here - otherwise we'll need special effects or just wait until the fall.
* Polishing firmware, OSX, and iOS suite for a wearable neuromodulator unit. Deadline in a week!
* Nmemonic community and app - been poking at this for years and finally had a breakthrough on the UI. My first app to release in the wild, so pretty exciting.
Finishing up the last touches to release: https://getkatari.app/ my japanese immersion app
Also working on https://www.kinoko.sh/. An agentic engineering platform built from the ground up for agents. Custom language and architecture and a layer of formal verification on top. Also working on a custom inference engine that produces well typed programs
I'm working on a hobby project named Belisarius that allows you to manage multiple repositories simultaneously by executing common commands and operations.
https://codeberg.org/alelavelli/belisarius
I've been slowly hacking on game ideas on and off for the better part of a decade and I've finally switched tracks and trying to seriously build something full time
I've given myself 6 months
It's a bit scary basically 180ing like this but I figure if I don't try it now I never will
I've already started prototyping various ideas, and to be honest just sitting down and spending time doing this has been really quite lovely
One thing I'm finding fun is slowly unearthing what I actually find interesting
I started with messing around in minecraft and tinkering with rimworld-like game ideas, but I'm slowly moving away from them as I've been tinkering more and more
Don't get me wrong, I do want to revisit them at some point in the future, but I do find myself circling more around narrative, simulations and zachlikes
It's a bit of an odd mix and in some ways they look like paradox style games, but I'm well aware that taking one of those behemoths on is going to be a bit silly, so I'm trying to slim down until I get to a kernel that I actually find enjoyable tinkering with
A toy if you will
Currently I'm trying to work out if there's anything interesting in custom unit design, basically unpicking how games like rollercoaster tycoon's coaster design maps to stats like excitement ratings and seeing how that might mix with old school point buy systems
It feels like it might be small enough to be a good toy and I'm having fun tinkering with it, but I have no idea whether other people will xD
It might honestly be too niche for anyone and I've successfully optimised for an audience of one :shrug:
https://beanhoard.com/
Coffee Roaster Aggregation ETL using fastapi, nextjs, bs4 etc etc. It's been fun, just finished up the oauth for discord that pairs nicely with the info required to make Discord dm notifications function. attempting to charge 6$ for the instant notifications, but doubt many people will be interested. up to 75 roasters and all of them are checked every 10 mins for new products.
Considering reusing the repo as a framework for other industries if this project ever gains any traction. Also was considering adding a goofy rag discord bot to the server just because i love tossing in a rag layer everywhere lately, and feel like i fall a bit short on my filters for stuff like origin/flavor notes and all that junk. Semantic search with solid chunk strategies might create a better solution than if i did get all the filters working as well as possible.
I'm learning bug bounty hunting again. learn to contribute to NUCLEI open source contribution.
I'm building https://preflight.qa, an opinionated take on Email QA for developers and marketing teams.
https://docules.net/about
I've been building a collaborative docs tool called Docules. The short version: it's a team documentation tool that doesn't have any embedded AI features. I use Claude code daily, but putting LLM’s into every workflow and charging for it is kinda insane. Every docs tool is adding AI auto-complete, AI summaries, "generate a page" buttons. Docules has an open API and ships an MCP server, so it connects to whatever you want to use LLM-wise. They can read, search, create, and edit documents through the API. The core product is just a docs tool that tries to be good at being a docs tool:
Stack is React, Hono, PostgreSQL, WebSockets. The MCP server is a separate package so it's not coupled to the main app. I keep seeing docs tools bolt on half-baked AI features and call it innovation. I'd rather build a solid foundation and let you plug in whatever AI workflow actually makes sense for your team. Happy to answer questions about the architecture or the MCP integration.A campaign management tool for automated contact form outreach. It helps users manage websites, detect contact pages and forms, and fill them automatically using LLM-powered field matching.
Screenleash.com: A personal project that deducts money from my bank if I spend more than the allocated time on specific websites. I have already spent around $60, but it has definitely reduced the time I spend playing Smashkarts and on Instagram.
Yes, I got addicted to playing Smashkarts (over 2 hours/day). Now it is capped at 30 minutes.
moongate :) https://github.com/moongate-community/moongatev2 !
A browser extension to add a table of content widget into the chatbot pages (claude/Grok/Chatgpt). Making long conversation easier to navigate. Mainly used on firefox. Not tested on chrome
https://github.com/kmcheung12/tocic
So simple, but brilliant! Il check this out today.
Do you plan on submitting it to the store?
I'm working on "context bonsai" which is currently a plugin for OpenCode that allows the LLM to self-edit its own context. It works like compaction, but it can retrieve back the compacted info if needed. And it's not just when the context is completely full, and it doesn't compact the entire context - it picks messages / tool calls where the details are no longer necessary, like a debugging session that is already solved or feature implementation that is complete and you've started on implementing the next feature.
I've also used tweakcc to make this work in Calude Code and plan to also do one for open source coding agents - codex, pi, Gemini, etc. And I'm also doing Livestreams of the development process.
https://github.com/Vibecodelicious/opencode
https://inSolitaire.com
I'm enjoying building solitaire and puzzle games.
My goal is to make this project the largest online collection of free modern solitaire games available for all kinds of devices.
Current working on two new products:
* https://sprout.vision/ - AI generated Go-To-Market Strategy for launching your next venture. I have a Tech background with limited GTM experience, so I experimented with AI to learn about different strategies and decided to turn it into a simple product that will generate a comprehensive plan (500+ pages) to help you launch your next venture. Try it out, would love to hear your feedback, use the HN50 promo code for 50% off your order.
* https://pubdb.com/ - Reviving a 10 year old project, it’s meant to make research publications more accessible to mere mortals with the help of AI. I have lots of ideas I want to try out here but haven’t gotten around to it yet. Currently focused on nailing down the basics with an OCR indexing pipeline and generating AI summaries.
I’m working on Radiant Computer: https://radiant.computer — a new from-scratch personal computer and OS.
too many things in flight!
inspired by the karpathy/twitter posts on running (semi) autonomous research loops, I build https://github.com/tnguyen21/labrat to be able to try and replicate some paper results over night. still early stages but I'm getting some use out of it already.
also spending a lot of time thinking about how you "close the loop" on software projects. right now figuring out how you can combine static analysis + review heuristics to let LLMs course correct the codebase when they over-engineer or produced unwieldy abstractions.
I've been working on an app to track my son's 1000 books before kindergarten. I've also added QOL features like barcode scanning for adding books to the library and creating a rotation based on the last time the book was read and whether I actually enjoy reading it. (The books I don't like make it through the rotation just with less frequency.)
This was an excuse to ship a mobile app for the first time and get familiar with supabase.
After these last few bugs are fixed, its ready for a semi-public TestFlight with our friends who have kids.
A bunch of ideas that have had domains but never enough engineers. Now there isn't enough time it seems except when I've hit my LLM subscription limits and they need to cool down.
Already launched biz-in-a-box.org and a life-in-a-box.org spinoff as frameworks to replace every entity's QuickBooks. I'm using them myself for every project my agents are spinning up.
Stealth project is related to classpass but for another category of need that won't go away even in the age of AI that really is only possible with critical mass of supply to meet existing demand. Super excited cus there's no better time to build with unlimited agents that scale without people problems.
Lastly, can't wait to run local LLMs so no longer limited by tokens/money.
I'm working on a TUI-based agent orchestrator called Tenex: https://github.com/Mockapapella/tenex
It's gone a long way to solve the "review" bottleneck people have been experiencing (though admittedly it doesn't fix all of it), and I'm in the process of adding support for Mac and Windows (WSL for now, native some other time).
Some of the features I've had for a while, like multi-project agent worktrees, have been added as a part of the Codex App, so it's good to see that this practice is proliferating because it makes it so much easier to manage the clusterf** that is managing 20+ agents at once without it.
I'm feeling the itch to have this working on mobile as well so I might prioritize that, and I'm planning to have a meta-agent that can talk to Tenex over some kind of API via tool calls so you can say things like "In project 2, spawn 5 agents, 2 codex, 2 claude, 1 kimi, use 5.2 and 5.4 for codex, use Opus for the claudes, and once kimi is finished launch 10 review agents on its code".
https://www.carnyx.ai
Multitrack field recorder with automatic cloud sync for iPhone. I use it for hi-fi recording of band practice and sharing demos with bandmates/collaborators. Great way to send stems too as it runs on the Mac as well and has a built in mixer. There's a social graph so you can send someone a session by typing in their handle and granting access.
I’ve been training an alphazero style model for an abstract strategy game I created 20 years ago. It’s been really fun learning about MCTS and figuring out how to optimize all parts of the pipeline to be able to train on ~millions of moves for ~hundreds of dollars.
This weekend I spent a lot of time on an Agent Registry idea I wanted to try out. The basic idea is that you put your Agent code in a Docker image, run the container with a few specific labels, and the system detects the Container coming online, grabs the AgentCard, and stores it in the Registry. The Registry then has (in the current version) a REST interface for searching Agents and performing other operations.
But once all the low level operations are done, my plan is to implement an A2A Agent as the sole Agent listed in the AgentCard at $SERVER_ROOT/.well-known/agent-card.json, which is itself an "AgentListerAgent". So you can send messages to that Agent to receive details about all the registered Agents. Keeps everything pure A2A and works around the point that (at least in the current version) A2A doesn't have any direct support for the notion of putting multiple Agents on the same server (without using different ports). There are proposals out there to modify the spec to support that kind of scenario directly, but for my money, just having an AgentListerAgent as the "root" Agent should work fine.
Next steps will include automatically defining routes in a proxy server (APISIX?) to route traffic to the Agent container. And I think I'll probably add support for Agents beyond just A2A based Agents.
And of course the basic idea could be extended to all sorts of scenarios. Also, right now this is all based on Docker, using the Docker system events mechanism, but I think I'll want to support Kubernetes as well. So plenty of work to do...
https://odap.knrdd.com/
A site for anti patterns in online discourse.
Example: https://odap.knrdd.com/patterns/strawman-disclaimer
Need to gather more patterns then create tooling around making it easier to use.
The goal is to raise the quality of comments/posts in forums where the intent is productive discussion or persuasion.
Training a tiny LLM for fun using Rust/Candle - I constantly tweak stuff and keep track of results in a spreadsheet and work on generating a bigger corpus with LLMs. It's a project for fun, so I don't care about finding actual human generated text, I'd rather craft data in the format I want using LLMs - Probably not the best practice, but I can sleep properly despite doing that.
My favorite output so far is that I asked it what life was and in a random stroke of genius, it answered plainly: "It is.".
It's able to answer simple questions where the answer is in the question with up to 75% accuracy. Example success: 'The car was red. Q: What was red? ' |> 'the car' - Example failure: 'The stars twinkled at night. Q: What twinkled at night? ' |> 'the night'.
So nothing crazy, but I'm learning and having fun. My current corpus is ~17mb of stories, generated encyclopedia content, json examples, etc. JSON content is new from this weekend and the model is pretty bad at it so far, but I'm curious to see if I can get it somewhere interesting in the next few weeks.
https://github.com/antoineMoPa/rust-text-experiments
I work on a few products as an indie bootstrapper.
* https://theblue.social — TheBlue.social, provides Bluesky native tools
* https://stacknaut.com — Stacknaut, SaaS starter kit to build on a solid foundation with AI, includes provisioning on Hetzner, deployment with Kamal 2 and dev with coding agents
* https://codevetta.com — Codevetta, Architecture and code reviews service
* https://myog.social — MyOG.social, OG Image Generation Service
I've been planning a new idea with that and possibly future ideas based on the future (and near future) where there are more and more "agent" users.
Rebuilding iNaturalist with open source/weights models that can run on edge compute for better privacy, and hopefully accuracy.
Been building https://textkit.dev/ for the past week.
It's a collection of 40 (and growing) tools for text processing, data cleaning, conversions, dev utils etc. Everything runs in the browser and is completely free.
Started this partly to learn SEO from scratch on a fresh domain, partly because i am lazy with regards to doing basic data cleaning using pandas and i found myself repeatedly using similar online tools that are completely riddled with ads.
I built this using Flask + Vanilla JS. I don't think there was any need to overcomplicate it. And for fun, i vibe coded a windows 95 desktop mode where all the tools open as draggable windows. https://textkit.dev/desktop
Spent the last year expanding my homelab and now I have my own rack at my local DC with my own ASN and /23 prefix.
Its been pretty fun cosplaying as an network engineer, and now I'm building out an Anycast network for a few ideas that I'm working on.
Its nothing too revolutionary or new, but I'm proud that I've built them from ground up and all running on my own infrastructure.
- DNS Authoritative Hosting - https://thelittlehost.com/dns/ - Quietnet - A family-focused internet filter - https://quietnet.app
I'm also getting ready to launch https://relaye.io, which was my personal tool I built to support my devops consultancy.
Continue improving my Chinese-character spelling game: https://store.steampowered.com/app/4218330/WordJoy/
Very much mvp but I just got this all set up: https://www.pginbox.dev/
Downloaded and parsed a bunch of the pgsql-hackers mailing list. Right now it’s just a pretty basic alternative display, but I have some ideas I want to explore around hybrid search and a few other things. The official site for the mailing list has a pretty clean thread display but the search features are basic so I’m trying to see how I can improve on that.
The repo is public too: https://github.com/jbonatakis/pginbox
I’ve mostly built it using blackbird [1] which I also built. It’s pretty neat having a tool you built build you something else.
[1] https://github.com/jbonatakis/blackbird
icloudpd-rs - Fast iCloud Photos downloader, Rust alternative to icloudpd
The original Python icloudpd is looking for a new maintainer. I’ve been building a ground-up Rust replacement with parallel downloads, SQLite state tracking, and resumable transfers. 5x faster downloads in benchmarks, single binary, Docker and Homebrew ready.
https://github.com/rhoopr/icloudpd-rs
Personalized educational activity (real, physical) books: https://elbobooks.com
^^ project with my daughter
Parallel agents debate your ideas/work: https://murderboards.ai
^^ solo project / code review agents for non-coders / inspired by Compound Engineering plugin’s code review flow
https://github.com/sinancan34/chronomaly
Chronomaly is a flexible and extensible Python library for time series forecasting and anomaly detection using Google TimesFM.
Hosting and nicely typesetting some of the essays/speeches of Alfred North Whitehead on education and the role of Universities, now in the public domain. Most are from Project Gutenberg, but I've been manually transcribing a couple others.
https://mkprc.xyz/public-domain/whitehead/
I'm building open source homebrewing (as in beer) software at https://www.brewdio.beer. It's something I've poked at periodically for a few years but now I'm using AI to see how far I can take it.
It has a few core libraries built in rust with a web app and a terminal UI. Android app is in the works. The persistence layer is intended to be offline first using a CRDT with an optional sync server. I'm also trying to integrate "bring your own AI" assistants to help tweak recipes or make suggestions.
It's been a fun way to sharpen my claude skills but also to see how feasible it is to maintain multiple frontend applications with a large amount of shared code. Still a lot to do, particularly the core calculations are not yet on par with existing offerings.
EasyAnalytica.com It lets you view all your dashboards in one place. Dashboard creation is a 3 step away, point to a file, confirm ds, choose template and done. Supports csv/json files, locl/remote url, Google sheets and api's with bearer auth.
i have also started experimenting with qwen3.5 0.8B model, my goal is to create agents with small models that are as robust as their commercial counterparts for specialized tasks. currently trying it for file editing.
I've been working on https://blogdb.org/ recently.
I originally made it a couple of years ago as a small proof of concept. A couple of weeks ago I started it over and have been using it as a project to work with Claude and learn approaches to coding with AI.
It's been a lot of fun.
Just launched DriftE — it's a in-depth Cloud discovery platform that fixes unmanaged "ghost" resources, configuration differences and manual cloud changes for enforcing your IaC.
https://drifte.io/showcase
Our family is enjoying Flip7 card game lately and was playing almost every day. Created an app to make it more fun and engaging by creating an app to manage the daily score and to make it a weekly, monthly competition for leaderboard. https://flip7battle.com/. Only available in apple store for now. It was fun to create and use this app.
Proving the infamous FTP guy from the original Dropbox HN thread right: you can now access your Dropbox over FTPS, SFTP, S3, or MCP. And not just Dropbox, it works with every storage backend out there: https://github.com/mickael-kerjean/filestash
A 16×16 multiplication table that encodes quoting, evaluation, branching, recursion, an 8-state counter, and IO — all as lookups in the same table. 83 Lean theorems, zero sorry. The project asks: can a finite algebra with a single binary operation be forced by axioms to contain its own representation layer? The answer is yes. Axiom-driven SAT search finds the constraints, Lean verifies the witness. I should be upfront: Claude wrote most of the Lean proofs and Z3 search scripts. My role was the ontological framework, the axiom design, and deciding what to search for and why. The AI-human split was roughly: I provided the "what should exist and why," Claude provided the "here's the code that proves/finds it." Every Lean theorem compiles independently regardless of who typed it. Universal results (hold for all satisfying algebras, not just this table): every model is rigid, judgment and synthesis provably cannot commute, and the tester's acceptance partition carries irreducible information that structure alone can't determine. The specific table fits in 256 bytes and can be recovered from a shuffled black-box oracle in 62 probes. https://github.com/stefanopalmieri/Kamea
That is interesting. Do you have a paper / book or anything like that which explains your work?
I've been writing interactive math and computer science articles at https://growingswe.com/blog. The past few months, I have been obsessed with interactive learning experiences and currently building https://math.growingswe.com for learning probability.
I really like https://math.growingswe.com nice job! I did the foundations page. I will work through some more lessons and give you some feedback later this week. I am also working on some math projects. Take a look at my other comment in this Ask HN.
A simple PWA habit tracker that sends your money to effective charities if you don't stick with your habits
https://app.euzoia.org
Built a last-mile delivery/logistics management system to power deliveries for on-demand/hyperlocal services and launched it last year (mentioned it in another one of these threads last year)
https://toanoa.com/
To date it's handled more than 70k orders, ingested nearly 10m telemetry records, has been extremely reliable, is almost entirely self-contained (including the routing stack so no expensive mapping dependencies) and is very efficient on system resources.
It handles everything from real-time driver tracking, public order tracking links, finding suitable drivers for orders, batch push notifications for automatic order assignment, etc.
Strafter - generate aftermovies from strava activities
https://strafter.com
Demo fase, showing the branded version to potential clients. We iterate on it with their feedback.
"Ride in Review" looks great! Great concept, perfect demo. I hope you guys find a client: this deserves the next phase.
https://k8slogjedi.netlify.app/
working on an AI-native Kubernetes sidekick that watches your pods, reads the logs, and turns failures into clear fixes before they become outages
I've been on sabbatical (not on leave from anywhere, just decided to take a break from work) for months now, taking some time for myself. Minimal tech stuff until more recently, but now I'm back in the deep end.
The main thing I'm currently working on is a platform for organizing and discovering in-person events. Still not certain about the boundaries for "Phase 1", but I have a bunch of ideas in that space that I've been incubating for a while. One subset of features will be roughly similar to that app you've probably heard of that starts with 'M' and ends with 'p', but hopefully an improvement, at least for the right audience. But wait, there's more. :)
Currently building it; it's not public yet, so no link. Next month.
Thinking about how to grow the userbase is intimidating, but I think it might end up being fun.
When I discovered that some local llama.cpp can OCR PDF images generated by TeX, I started to revisit literate programming defined by Donald Knuth and explore using PDF as the source of truth artifact (instead of Markdown or program source code itself) for LLM to consume.
I only got to the point of having code and data as \verbatim in \LaTeX. Next step is CWEB.
Here is an example (with C and Rust code in \verbatim)
https://ontouchstart.github.io/rabbit-holes/llm_rabbit_hole_...
The ultimate goal is machine and human readable proofs on algorithms.
I wanted a real native app (iOS/macOS) as a client for my agents and to be able to truly control / mange them from it. So, think Claude Code remote but not just Claude and a proper native app. Or the Codex app but actually native.
The server is a rust binary so you can toss it on any container/computer and connect to it in the app.
My philosophy isn't to replace my other tools I love like emacs, ghostty, etc. But I am taking a stab at "real time code review" and have some crummy magit-like code review built in that I need to revisit.
https://github.com/Robdel12/OrbitDock
https://eggbot.app/ an app for the widely OpenSource available EggBots to draw easter eggs. :)
I am working on making product managers more aware about what kind of personality they are. I have seen there are couple of tests but those are not the ones that will put people into the actual work of Product Management.
So I built a test for the same and its called Orlog. You can check it out here: https://orlog-test.netlify.app/
Looking for your feedback.
I’m working on a new word game, called Wordtrak:
https://wordtrak.com
(Sign up and I’ll send out beta codes tomorrow!)
I’ve had a few friends call it “fun”, and one said it’s “Scrabble that doesn’t drag”.
Working on some social media shareable replays you can post after matches tonight, thanks to Remotion:
https://x.com/qrush/status/2030849966105559104?s=20
I’m building an observability system that tries to surface answers instead of making people dig through huge amounts of raw telemetry.
The basic idea is that when one failure fans out across 20 services, you often end up with 20 alerts and 20 separate investigations, even though there is really just one root cause. I’m using distributed tracing to build a live model of how errors propagate through the system, and then exposing that context directly at each affected service.
Longer term, I want this to become a very high-precision RCA engine. Right now I’m looking to try it with a few early design partners that already have a lot of tracing data, especially OpenTelemetry or Datadog APM users. I'll love to chat with some folks who would be willing to try it out!
I'm photographing wildflowers so much that I made a tool called Wildflower Witness to group the images into time series. I'm debating if I want to allow the user to create each flower in their collection or try to do it totally automatically. Also I've been using it already and I'm sad to say a ground squirrel ate one of my specimens.
Lately I’ve been spending a lot of time transitioning from tech into urbanism and working on a few projects I care deeply about.
- Urbanism Now - I run https://urbanismnow.com, a weekly newsletter highlighting positive urbanism stories from around the world. It’s been exciting to see it grow and build an audience. I'm thinking of adding a jobs board soon that'll be built in astro.
- Open Library - I’ve been helping the Internet Archive migrate Open Library from web.py to FastAPI, improving performance and making the codebase easier for new contributors to work with.
- Publishing project - I’m also working on a book with Lab of Thought as the publisher, which has been a great opportunity to spend more time working with Typst.
These projects sit at the intersection of technology, cities, and knowledge sharing, exactly where I’m hoping to focus more of my time going forward.
We are developing a single-passenger autonomous vehicle, capable of traveling over 1000 miles, performing fully automated vertical takeoff, cruise, and landing.
Info (not recent) available here: https://awz.us/docs
https://securenote.app.
Full encryption for notes (uses local encryption before you even sent the note to the server).
I wanted a mixture of Github Gists (sans Git) and 1Password shares so I've been using it eitj great success at my current company to share snippets and private stuff.
Might open source in the future, just need to gauge interest.
Completed:
- http://sharpee.net : Text Adventure authoring platform in Typescript
- https://github.com/ChicagoDave/tsf : A multi-target npm build tool
- https://devarch.ai : Claude Code guardrail workflow including hooks, agents, and skills
In progress:
- unnamed project to disrupt commercial site hosting including a new marketplace
what does devarch do exactly? why not OSS?
I've been reworking my blog to have a table of contents per article, clean CSS (something that actually looks nice and no longer relies on Bootstrap) and a few other nice things. Also taking the opportunity to fix minor errors in previous posts.
Aside from that, I need to document and properly release one of the pieces that PAPER is relying on (some generic tree-processing code that makes operations on directory trees a lot nicer than with the standard library "walk"s), and work on others (in particular, a "bytecode archive" format for Python that speeds up imports for some projects, mainly by avoiding filesystem work at import time — I want to offer it as an install-time option in PAPER, and later have `bbbb` make wheels with the bytecode precompiled that way).
I'm teaching a class in agent development at a university. First assignment is in and I'm writing a human-in-the-loop grader for my TAs to use that's built on top of Claude Agent SDK.
Phase 1: Download the student's code from their submitted github repo URL and run a series of extractions defined as skills. Did they include a README.md? What few-shot examples they provided in their prompt? Save all of it to a JSON blob.
Phase 2: Generate a series of probe queries for their agent based on it's system prompt and run the agent locally testing it with the probes. Save the queries and results to the JSON blob.
Phase 3: For anything subjective, surface the extraction/results to the grader (TA), ask them to grade them 1-5.
The final rubric is 50% objective and 50% subjective but it's all driven by the agent.
I'm building DB Pro, a better database client.
I just released support for dashboards. I've kept a devlog for the past 6 months.
https://youtu.be/EEA73e6MH1c
And the biggest update is coming soon, DB Pro Cloud, which will let you connect to and manage any database through your browser as well as collaborate with your team.
Imagine Postman but for databases.
https://dbpro.app
seems interesting. whos the target demo for this though?
I am working on https://yakki.ai, a Mac dictation app. I have started expanding what the users can do with it, for the moment you can record your meetings and get insights and notes. I am considering where to take it from here! competition is fierce, so I am focusing on making it better and to serve specific users that provide feedback.
If everything is local, why the subscription? That 150 is instant incentive for me to prompt my own on Claude and get a more personal outcome right away. Margin comes from a moat, and local LLM is the opposite of that, especially if you need internet to verify subscription for local use at any point.
I've written and I'm now polishing and refining a tool for on-set data management for small to medium scale productions. I do Data Wrangling on the side and one of the hardest things to do is keep track of drives, backup jobs, and link them all together whilst knowing where everything is stored, who has what, how much data you have left, how much data you're going to use on the next scene given it's filmed on camera X using Y settings, and so on.
It's written in Golang and acts as a simple desktop app that creates a web server and then opens the site in your default browser. This way it's easily multi-platform and can also be hosted as a SaaS for larger production houses.
Current project is https://mattera.law which is an inbox-centric matter/case management system for law firms.
Under the hood it uses a cool legal reasoning agent primarily designed for understanding litigation claims and objectives.
Sometimes I do wish I had a slack channel of like 30 attorneys so I can ask them questions and get feedback.
yoloAI: Fearless YOLO sandbox for your agent.
Run your agents contained (container or VM, Linux or Mac), with all restrictions removed.
Workflow:
Sandboxes: Docker (Linux, Mac), Seatbelt (Mac), Tart (Mac)Everything's contained in a single go binary. Just build and run.
https://github.com/kstenerud/yoloai
I’m working on a Free and Open-Source Invoice Generator: https://easyinvoicepdf.com
- No sign-up, works entirely in-browser
- Live PDF preview + instant PDF download
- Flexible Tax Support: VAT, GST, Sales Tax, and custom tax formats with automatic calculations
- Shareable invoice links
- Multi-language (10+) and 120+ currencies
- Multiple templates (incl. Stripe-style)
- Mobile-friendly
- QR Code Support: Add payment QR codes with any invoice-related information (payment links, UPI, contact details, custom data)
- Multi-Page PDFs: Seamless multi-page support with automatic pagination and page breaks
GitHub: https://github.com/VladSez/easy-invoice-pdf
Would love feedback, contributions, or ideas for other templates/features.
PS: e-invoice support is wip
I made a web-based speaking clock: https://alexsci.com/time-at-the-tone/
I had been doing lots of time-based work for a blog post and ended up annoyed that so many clocks around me were visually out of sync. Especially my microwave and oven clocks. Using the tool I got them synced up beyond what I could perceive.
I'm working on Rauversion https://github.com/rauversion/rauversion, an open platform for independent music communities that combines music publishing, events, and marketplace tools in a single place. Artists can upload tracks, albums, and playlists with metadata, audio processing (waveforms, analysis), and embeddable players with chunk-range loading to save bandwidth. It also includes ticketing for events (QR validation, Stripe payouts), streaming integrations (Twitch, Zoom, etc.), a magazine system for publishing articles, and a marketplace to sell music (digital or physical), gear, merch, and services. The goal is to give underground scenes a self-hosted infrastructure for releasing music, organizing events, and sustaining their communities.
Looks really interesting, would you say it’s an opensource Bandcamp alternative?
MCP server to give AI agents design taste - https://fontofweb.com/mcp
Agents can search for design inspiration from production websites using semantic search. Since this inspiration comes from live websites, their design tokens; colors, typography usage, layout data are also available.
Five months into building product analytics for conversational AI. Started by targeting vibe coding tools like Lovable but realized most of them don't care about user experience yet. With monthly churn over 50%, they focus on acquisition, not retention.
Now shifting to established SaaS companies adding AI assistants to their existing products. Some of them literally have people reading chats full time, so they actually value the experience.
Building https://lenzy.ai - 2 paid customers, 2 pilots, looking for more and figuring out positioning.
Creating my own models in Blender for 3D printing. Currently creating replacement wings for a hummingbird whirligig yard decoration that broke a couple years ago. It’s a sentimental gift and I’ve hated the idea of throwing it away.
Physical engineering is a huge welcome transition for me from what coding has become in the last couple years.
There’s something nice about the realities of creating a model, then printing it, then seeing that exact is too exact, then reprinting, then eight more times, and then that feeling when it all comes together properly.
A few weeks ago I was working on an adapter for an airbrush to use on a standard pancake air compressor. Learning to create threads in blender was really neat! I learned a lot about the physical construction of threads, something I have never put much thought into before.
There is something so wildly cool about having an idea, modeling it, and a few hours later holding a physical instantiation of the thing that previously just existed in your head. Something we software people don't get to experience often enough.
Can you share details about Blender CAD/CAM capabilities? I have a CNC router (carves 3D shapes into wood), and exploring what tools can help with that. I keep hearing about Blender's CAD abilities - I don't know Blender well, so I haven't jumped in there...
Blender is not the right tool for that. I think you'll be happier with an actual CAD tool like Fusion or FreeCAD.
For about a year I've been working on Mu - an app for everything without ads, algorithms or exploits. https://mu.xyz
Blog, news, chat, video, mail, web. Basically all the daily habits as little micro apps in one thing. I find it quite useful. Not sure anyone else does yet though.
Also separately worked on Reminder.dev which is a Quran app and API that bakes in LLM based search and motivational reminders.
I am working on creating an Even Driven Architecture framework for Kotlin.
I went through the Software Architecture Patterns for Serverless Systems book, which I think it is fantastic. I learned a lot but I still had a lot of doubts to actually use the ideas in real life. So I started dissecting the companion framework, which is in written in Typescript. I have been going piece by piece and converting to Kotlin which I think it is more expressive (and fun) and it is allowing me to understand how everything fits together.
Typescript framework: https://github.com/jgilbert01/aws-lambda-stream
I'm working on JRECC, a Java remotely executing caching compiler.
It's designed to integrate with Maven projects, to bring in the benefits of tools like Gradle and Bazel, where local and remote builds and tests share the same cache, and builds and tests are distributed over many machines. Cache hits greatly speed up large project builds, while also making it more reliable, since you're not potentially getting flaky test failures in your otherwise identical builds.
https://jrecc.net
I’ve been working on an open source tool that turns your Kubernetes into a Heroku like PaaS — https://canine.sh — for about two years
A problem that we had at my last startup was that we got stuck between not wanting to spend too much time on devops, and getting price gouged by Heroku.
We were too big for the deploy to a VPS type options like coolify, but too small to justify hiring a full time Devops.
Eventually a few of us had to just suck it up and learn Kubernetes properly. Was pleasantly surprised how elegant it all was.
I was surprised there wasn’t something that “just worked” and plugged into our Kubernetes cluster, made it user friendly, teams, roles, etc.
Testeranto - The AI powered BDD test framework for polyglot projects. There is a implementation now in ts, golang, rust, ruby, java and python. Add the language(s) that you need to your project and launch the server. Testeranto will run your BDD tests in docker and produce a set of results and logs. These logs, test results and your code are fed into an LLM, which fixes your tests for you. In essence, you write the tests and the LLM fills in the code.
AM3 - (Allied MasterComputer or Artificial Mind, version 3) - An attempt to make a symbolic AI that approaches the capacities of a LLM. An LLM makes variations on the same code and schedules those variations to play in "games". The results allow the LLM to make further changes.
I'm building SocialProof (socialproof.dev) — the simplest way for freelancers and small agencies to collect written testimonials from clients.
The problem I kept seeing: freelancers have happy clients but almost no testimonials on their site. Asking is awkward, clients say "sure!" and then never write anything.
SocialProof gives you one shareable link. Client clicks it, fills a short form (name, text, optional photo), you approve it, it embeds anywhere. No login required for the client.
The interesting technical bit: it's entirely on Cloudflare Workers + D1 + Pages. The collection form and embed widget are edge-served globally with no origin server. Been curious whether anyone else is building purely on Cloudflare's stack and what they've run into.
Still pre-revenue (just launched today). If you're a freelancer or run a small agency and have thoughts on how you currently handle testimonials, I'd genuinely love to hear it.
Making my own epub reader with the kitchen sink of features I'd like. It's a speed-reading app first and foremost, using RSVP (rapid serial visual presentation, one word at a time). Also answers questions about the book with an LLM without spoilers, and can create illustrations. I've been reading _Mercy of the Gods_ lately, which has vivid descriptions of a bunch of alien races, but the pictures have done a great job supplementing my imagination. I've read more books in the past month than the last year, but we'll see if I keep it up.
https://github.com/achatham/epub_speedread
I'm working on version 3.0 of my feed reader app NewsNinja: https://ainews.ninja
Version 3 will add more feed types: Podcasts, Mastodon, Twitter/X, Calendar, Reminders, Weather, Finance tickers and more.
It will have a new UI, new features like notifications and local transcripts and summaries and many quality of life improvements.
I built chernoffOT for fun - https://github.com/ashinvinod/chernoffOT
It basically pulls OpenTelemetry data from your infra and renders chernoff faces, so you can spot anomalies at a glance.
I'm building postaxis.io - it helps builders to distribute their own apps/products
I’m working on a tool to automate manual document workflows, specifically for industries like manufacturing where accounting paperwork is still a manual burden.
The workflow: Upload doc → LLM extracts structured data → Generate new doc from template.
It’s API-first, includes webhooks, and is built to be self-hosted/self-provisioned for privacy. Still very much a WIP, but looking for feedback on the feature set and the extraction accuracy.
URL: https://fetchtext.io
I’ve been consumed by building https://emberdb.com https://github.com/kacy/ember over the last few months.
It’s a drop-in replacement for Redis written in Rust. Most if not all of your client code should work without issues. Outperforms in many areas and has more out of the box features like proto storage, raft/swim, and encryption at rest.
I’m pretty proud of it, and I hope you’ll give it a shot and open bug reports. :)
Got delayed on my 8th anniversary release of Video Hub App - hoping to get it out in March / April. I have some bug fixes and new features in my app for browsing and organizing video files across local and network drives.
https://videohubapp.com/ & https://github.com/whyboris/Video-Hub-App
Selecto, an elixir SQL query library that works with or without Ecto. Also SelectoComponents which gives you a web interface to build queries.
It is based on 20+ years of experience maintaining a similar system in Perl.
It's on Hex.pm already, looking for people to test and comment!
As Codex would say:
Selecto is an open-source SQL query builder for Elixir that helps you generate complex queries from clean, domain-based configs. It supports advanced joins, CTEs, subqueries, and analytics-friendly patterns, with companion packages for LiveView interfaces (selecto_components) and code generation (selecto_mix). If your app is data-heavy, Selecto gives you SQL-level power without brittle hand-written query strings.
A bunch of things:
Jive Data: https://jivedata.com
Financial and Investing data
Random Data Monster: https://randomdata.monster
Random Data (also available as a Google Sheets Add-on)
WhatIsMyIPAddress.Monster: https://whatismyipaddress.monster
A clean website to get your IP Address. Also available as an API.
Phone Monster: https://phone.monster
Caller ID, but on steroids
I am working on a free node based solids modeller perfect for 3d printing, carpentry or hobbyists. Its roughly similar to Rhino/Grasshopper. I call it Nodillo!
Check out this twisty vase demo: https://nodillo3d.com/s/VmP0nJdKRcPazQ1g
You can also share you files and create sharable configurations as well. Here is the same vase as a configurator: https://nodillo3d.com/v/a9REIEZIDYGtzZRA
I would like to do a more detailed intro class to help people learn how to model with nodes.
Hope you enjoy it!
Working on a chat app/server and protocol builder to support it, in an attempt to use as little network as possible (e.g. dial-up should work fine).
It's heavily supported by Claude Code, but much fun.
https://superchat.win/
Actually not built on this yet I think, but I could switch over, haven't made anything more of it since it's still a bit rough around the edges, and I keep finding various issues during actual usage: https://binschema.net/
We are building an agentic ad tech system optimized for real time and scale. The process of making an ad, from ideation to distribution, is traditionally exceptionally labor intensive. We are making it possible to target, design, and distribute ads at scale and in real time.
https://hawtads.com
Personalized ads enable personalized lying by advertisers. Politicians in the 2016 election would target voters for party with enraging content while the other got shadow posts that lied to them about their candidate in a way that would not be seen, to discourage them from voting (Source: Careless People book).
I write quite a bit about books and papers I read. This ranges from contemporary work on privacy and machine learning to math, economics, and philosophy from the nineteenth century.
Several readers have asked for an easy way to get recommendations without working through long-form review articles.
Here's the first iteration of a simple recommender: https://bcmullins.github.io/reading/
Last week I wrote the spec for a couple of vanilla JS https://danielgormly.github.io/primavera-ui/dnd/ that I've handwritten in the past. I used the spec to vibecode them + a few follow-up correction prompts. Honestly the robot did a better job of implementation than I would have. Just can't compete with the speed.
Very early days but will keep updating them & adding more.
I'm working on a voice cloning version of my TTS model, a highly upgraded VITS:
https://x.com/ZDi____/status/2013655958027669958
Right now, I only have single speaker checkpoints (as per the old video). That will change soon.
VITS is such a cool model (and paper), fast, minimal, trainable. Meta took it to extreme for about 1000 languges.
It seems like you have been working on this application for sometime, i will go through your code , but could you provide some context about upgradations/changes you have made, or some post describing your efforts.
Cool nonetheless!
Recommendations for local text-to-speech synth? Last year, played with Piper-TTS, Chatterbox, and some others. Ideally supporting English, Spanish, Chinese.
Multilingual and local? Try out Supertonic 2.
Experimenting with operational transforms with https://rootdoc.app
I’ve been working on an RSS reader for macOS and iOS - https://gmnz.xyz/projects/ember-feed/
It has gained a little traction in Reddit and grateful for the several paying users currently giving me lots of feedback. One of the features is that you get to import your own font using any otf, ttf files. App is 100% native too written in SwiftUI, AppKit and UIKit.
I just wanted my own interpretation of an RSS Reader app, I have been a heavy user of both Reeder and NNW but the interface is just the same and I got bored a lot.
Working on...
- Portable Secret (https://alcazarsec.github.io/portable-secret/) - self-contained HTML files that decrypt in the browser.
- Dead Man's Switch (https://alcazarsec.com/deadmanswitch) - sends messages when you stop checking in.
- Flare (https://alcazarsec.com/) - silent alert when your device is accessed without authorization.
What's the long-term support plan for dead man's switch? What happens if for example you meet an untimely fate? It seems that you will need to support storing information on a years or decades time scale right off the bat.
I ask because I was recently thinking about how to preserve information for the future like this
If we were to die as a company (unlikely), we would reach out to customers well in advance (think >1 year) and ask them to download their data so they could migrate to another provider.
This seems unlikely, however, since our infrastructure costs for the dead man's switch are covered by just a handful of subscriptions. Besides, we host it next to our other more profitable main product, so it gets free maintenance.
We are up for the challenge of making this last for many decades, though. It is a beautiful mission.
Puzzleship - https://www.puzzleship.com/ It's a daily puzzles website focused on logic puzzles at this moment. I have about 90 subscribers, and it's online since Dec/25.
Data extraction: https://simplescraper.io
A project that I launched on HN that became a business. Simplescraper rode the no-code wave of a few years back ('instant structured data without parsing html').
Now working on increasing the surface area for AI agents: MCP support, screenshots API, and (experimentally) x402[1]
[1] https://simplescraper.io/blog/x402-payment-protocol/
I like simplescraper. It reminds me of (https://www.withparse.com/) and (https://www.parse.bot/)
It suggests to me that the underlying architecture probably isn't too complicated, so I'd wish for an open-source solution
I’ve been working on the last months on Leggen (https://github.com/elisiariocouto/leggen), a self hosted personal banking account management system. It started out as a CLI that syncs your bank account transactions and balances, saves them in a sqlite database and can alert you via Telegram or Discord if a transaction matches a filter. It is now a PWA and uses Enable Banking to connect to the bank accounts (it is free for personal use AFAIK). Started hand-made, it is now mostly vibe coded with supervision.
I'm building ai saas web — the simplest way for user and small agencies to try LLM from lab. The problem I kept seeing: site have happy clients but almost no evalution on their site. Asking is awkward, clients say "sure!" and then never give any feedback.
SocialProof (https://socialproof.dev) – a tool that helps service businesses collect written testimonials from happy clients via a shareable link.
The insight: the friction in getting testimonials isn't that clients don't want to help – it's that a blank "leave a review" box produces mediocre one-liners. SocialProof guides them through structured questions ("what was your situation before?" / "what changed?") so you get a compelling before/after narrative automatically.
Free tier: unlimited testimonials. Just launched and looking for feedback from anyone who deals with client testimonials.
Writing the release announcement for FreeBSD 14.4! The release is ready (aside from propagating to mirrors and clouds) but I have until 2026-03-10 00:00 UTC to get the announcement email ready to go out.
https://codedorian.com a programming language
https://approximated.app
It makes connecting user domains to your app easy and reliable at any scale. Each Approximated user gets the own globally distributed, managed cluster of servers with its own dedicated IPv4 address. Includes (unlimited) edge rule features, DDoS protection, webhooks, and more. Make a simple API call, tell the user to point an A record at the IP, and it’s connected to your app with its own SSL certificates.
Built/building with elixir and phoenix, which has been fantastic.
I’m recreating a tiny version of vLLM in C++ and CUDA from scratch (high throughput LLM inference server)
https://github.com/jmaczan/tiny-vllm
Ive been running with this little ongoing project of making little nintendo ds games with rust.
I put together a pretty basic portal clone. I think its pretty cool to see it come together, animations, level creation, portal jumps.
The basic hardware on the ds makes 3d pretty approachable. Ive found opengl overwhelming in the past. It seems like a fun platform to make games on, but idk if there is any active ds homebrew communities. Anyway sharing because i thought it was cool, hard to find anyone that seems to be to interested. I thought about getting a 3ds but they are surprisingly expensive now
RateRudder: https://raterudder.com
I've been working on a solution to automate solar+battery use to arbitrage the market. I'm on a real-time utility plan but even if you're on TOU it can save you $1+ per day by strategically planning when to use the battery and when to conserve or charge the battery. So far it's limited to a few providers and only FranklinWH batteries but I'm eagerly looking for someone to help me get Powerwall support working and other ESS. It's open-source on GitHub as well.
https://fitcal.app syncs Strava activities to your Google calendar. No fancy features, just does what it says on the tin. Really fun to build out with elixir + phoenix.
When training I like to have every day mapped out with how many miles to run, at what pace, etc as an event in my calendar. My actual workout gets uploaded into Garmin and Strava, but I always wanted it back in the calendar so I could see at a glance the consistency over time. It's been really fun to see other people use and get value out of something I built for myself.
It's nothing big. I wanted an offline natural language to cron/cron to natural language translator and I wanted to get some experience building MacOS apps. It's not vibe coded, but I did get good help from Claude since it's my first time building MacOS apps. It's free and no data is collected.
https://cronwise.github.io/
What's it like building native MacOS? SwiftUI or UIKit or?
I used SwiftUI.
I went full TDD with the app so it was easy enough to build the logical parts of it. The UI is fairly simple, but whenever I found that Claude did not understand exactly what I wanted, I gave it a screenshot/image of a design and it did things pretty well.
I'm working on an appointment management app (no AI) for Barre studios: https://www.usemojo.app/en/barre
A fully vibe coded python 3.14 interpreter in Rust: https://blueblazin.github.io/pyrs
Now at 350k lines. Native and wasm binaries (you can try the limited wasm version online). Currently adding a full CPython test suite benchmark.
Just for fun, not trying to replace CPython here. Mainly to test the limits of current coding agents.
And how is it going, in terms of finding those limit? It would be very interesting to hear about areas where the actual experience turned out to be wildly different from your expectations, in either direction.
I'm thinking about how to maximize the speed, bandwidth of collaboration with agents and teams to get to shared context as fast as possible. I think for the human, based on biology, its visual into to the human (out from agent) and voice out of the human (into the agent). Based on this, we are working on a local, agent-native workspace where you can collaborate with your coding agent visually in your sessions, markdown, mockups, code, tasks, etc... Called Nimbalyst. Would love feedback on it.
Working on the sides to build a completely private and on-device Personal Health Records app.
More context https://lepisma.xyz/2026/02/24/harp/
It's a personal project, but inspired by OpenClaw (which I find way overhyped), I am building an ambient intelligence layer for investment finance including a 3-tiered memory architecture, sensors (for environment scanning), skills, reasoning agents, and a new agentic UI concept only for that purpose.
I wrote about it here: https://jdsemrau.substack.com/p/pair-programming-superbill-w...
Why do you work on this when Claude Cowork for Finance exists>
https://pagewatch.ai/ - make sure LLM's can understand your site.
There is a surprising amount of edge cases that can cause ChatGPT or others to misunderstand your pages. Some models can handle div based tables, some want alt tags but cannot understand title tags, etc.
I built the tool to check your site as close as possible to what a human would see and then compare it with LLM's.
It was a weird journey trying to tease this info out of the models, they will happily lie, skip checking sites or just make things up.
I've been building high-bandwidth memory streaming interfaces for HBM on VCK5000 & U280 FPGAs in my own language - "SUS".
The goal is to get consistent synthesis to 450MHz such that I can use a narrower 256-bit instead of a 512-bit interface, while maintaining full bandwidth. I've got it working at an FMax ranging 440-490MHz, though there's still some edge cases I need to hammer out.
https://github.com/pc2/sus-xrt
I needed a cheap alternative to Cloudwatch etc and didn't want to depend and pay Cloud tax.
Zero ops S3 based log search: https://github.com/amr8t/blobsearch
Goofy sideprojects:
https://dnsisbeautiful.com - clean, ad free dns lookup tool.
https://evvl.ai - combination of Github Gists and AI output comparisons (evals)
https://finalfinalreallyfinaluntitleddocumentv3.com/ - free mac app to intelligently rename any kind of file (photos, videos, audio, text) based upon their contents.
I like finalfinalreallyfinaluntitleddocumentv3.com Now you don't have to worry about getting domain names, you can version them all the way with the vX. The final boss can be finalfinalreallyfinaluntitleddocumentv3_final.com
I've been working a light-weight API gateway for dev use that supports auth and RBAC
https://github.com/paul-callahan/tiny-gateway
DesignFlo:
https://designflo.ai
Build enterprise grade applications (in Elixir) with AI the right way.
Secure. Scalable. Reliable.
Built based on a senior engineer's experience. Uses 10 years of battle-tested patterns, not just LLMs:
1. Uses algorithms over AI whenever possible.
2. No external library dependencies whenever possible.
3. Old school over shiny new toys. Use the right solution for the problem (Eg. SQL vs NoSQL).
So many things these days I just love being an engineer rn - ai scheduling assistant - polymarket trading bots - ai assisted form filler - games my 6 y/o dreams up - openclaw workflows - and countless hackathon-y projects at work that never would have seen the light of day without my best friend Claude
Developing the AArch64 code generator for the DMD D compiler.
I’m working on a new internet.
There is a Vulkan based browser which you can use to connect to the only public site so far, a playable breakout clone.
https://github.com/mjdave/katipo
I’ve been working on an rss, atom, json feed reader app that strives to make it a simple as possible to isolate what articles are meaningful for you.
For now it uses UX patterns to make it easy to remove uninteresting articles and keeps a record of your read and saved articles. All locally of course.
I’d like to make it into something we can share quality content with one another eventually. For now I’m focusing on making it good enough my entourage will want to use it
An automated file system handler, similar to Hazel[1].
I want to treat my Downloads folder (or some other one) like an "Inbox" where I can just dump everything, and then the program knows where exactly in my (Johnny Decimal) file system the file should land.
[1] https://www.noodlesoft.com/
A docker/container registry that deduplicates at the file level instead of the layer level. Faster pushes, cheaper storage costs.
I am working on a SSL certificate monitor. It comes with its own probe that can scan your private infra and collect the certs for monitoring. It also has a web interface for monitoring SSL certificate of any public domain. There are a few chinks here and there. Hope I can get it over by this month.
https://www.certgorilla.com
Ironically I'm getting SSL handshake failed on your site
Currently working on C++ DirectX12 graphics engine of my Engineering / CAD software. Part of my Mission Vishwakarma 2035.
https://mv.ramshanker.in/
Github: https://github.com/ramshankerji/Vishwakarma
Deep link now ( https://Deeplinknow.com ) - deferred deep linking for developers / people who dont want their links blocked by adockers because Branch/Appsflyer et al are actually under-the-hood cross platform ad tracking services.
I do no tracking, no analytics, just help you cross the airgap between web and mobile app so you can send users to the right place (and track them however you deem necessary)
An interactive Greek & Roman Mythology course: https://www.scrivium.com
If we can nail this one, then an entire Oxford-grade education in the same style.
I just built a little tool that takes a Fora itinerary as input and creates a google calendar (.ics) feed as output.
https://itinerary.projects.jaygoel.com/
Project, Time, Expenses, Invoicing and Quoting app. https://heygopher.ai
- look for feedback on the Freelance Rates calculator https://heygopher.ai/tools/freelance-rate-calculator
Nice — freelance ops tooling is a real pain point. The rates calculator is a good acquisition hook.
One thing I've noticed building in this space: freelancers are remarkably bad at collecting testimonials from clients (who usually love them!). The workflow ends after the invoice is paid and nobody ever goes back to ask for a written review. Worth thinking about whether that's a hook you could add — "invoice sent, client paid → automated ask for a testimonial."
I'm building something adjacent to that problem: socialproof.dev. Would be curious what your users say when you ask how they handle testimonials.
Following up the comment i made last month, I'm a solo dev building a handful of apps across different niches.
- Plask ( https://plask.dev ) — Google Analytics (GA4) connected analytics dashboard for people who ship multiple products. I got tired of manually checking separate GA4 properties for all my apps and SaaS projects, and setting up individual MCP integrations for each felt like overkill when I just wanted a quick overview. So I built a single dashboard that connects all your GA4 properties, runs statistical anomaly detection, sends alerts when something breaks, and generates AI weekly digests. Free tier for 2 properties, Pro at $9/mo.
- Kvile ( https://kvile.app ) — A lightweight desktop HTTP client built with Rust + Tauri. Native .http file support (JetBrains/VS Code/Kulala compatible), Monaco editor, JS pre/post scripts, SQLite-backed history. Sub-second startup. MIT licensed, no cloud, your requests stay on your machine. Think Postman without the bloat and login walls.
- APIDrift ( https://apidrift.dev ) — Monitors changelogs for APIs, SDKs, and libraries you depend on so you don't get blindsided by upstream breaking changes. Scrapes docs, diffs changes, classifies severity with AI, and sends digest emails. Track your dependencies, get alerted when something breaks. Free tier covers 3 sources with weekly digests. Built with Next.js, Supabase, and Gemini Flash.
- Mockingjay ( https://apps.apple.com/app/id6758616261 ) — iOS app that records video and streams AES-256-GCM encrypted chunks to your Google Drive in real-time. By the time someone takes your phone, the footage is already safe in the cloud. Built for journalists, activists, and anyone who needs tamper-proof evidence. Features a duress PIN that wipes local keys while preserving cloud backups, and a fake sleep mode that makes the phone look powered off during recording.
- Stao ( https://stao.app ) — A simple sit/stand reminder for standing desk users. Runs in the system tray, tracks your streaks, zero setup. Available on macOS, Windows, Linux, iOS, and Android.
- MyVisualRoutine ( https://myvisualroutine.com ) — This one is personal. I have three kids, two with severe disabilities. Visual schedules (laminated cards, velcro boards) are a lifeline for non-verbal children, but they're a nightmare to manage and they don't leave the house. So I built an app that lets you create a full visual routine in about 20 seconds and take it anywhere. Choice boards, First/Then boards, day plans, 50+ preloaded activities, works fully offline. Free tier is genuinely usable. Available on iOS and Android.
- Linetris ( https://apps.apple.com/app/id6759858457 ), a daily puzzle game where you fill an 8x8 grid with Tetris-like pieces to clear lines. Think Wordle meets Tetris. Daily challenges, leaderboards, and competititve play against friends.
Multiplayer tactical shooter inspired by id tech 3 era, using Godot.
More movement than CS, less than quake
Focused on infiltration mode - one team stealing a briefcase back to base with the other on the defense
Devlog: https://bsky.app/profile/lumi4x.bsky.social
I just finished adding uACPI to my hobby OS and have all the pieces necessary to write up a crude version of Pong. Since pong was my first ‘real’ project when I started teaching myself how to code, this has that extra bit of sentimentality for me :)
I’m making an RPG Engine/toolset (i.e. Final Fantasy SNES or Game boy) that targets iOS/Android and the tools themselves are shippable in the mobile client (or web if you want some actual screen real estate)
It's still early, because I actually had some nice weather in the PNW, but looking at porting NanoClaw to use FreeBSD jails and ZFS snapshots. Why? I use linux because I have to - docker/docker images is what we are stuck with. For personal stuff - I prefer the BSDs.
Health.md - https://healthmd.isolated.tech/
Export your Apple Health data directly to Markdown files in your iOS file system.
Open-sourced it at https://github.com/CodyBontecou/health-md.
Fun little vibe-coded app that has made a lot of users happy.
https://github.com/blue-monads/potatoverse
Platform for running web apps.
Single static binary and SQLite
lua for now (WASM future)
DEMO:
https://tubersalltheway.top/zz/pages/auth/login
We are building a live knowledge graph of all political players in the South Asian Region. Essentially mapping out entities, relationships, and events with data from the last 30 years or so.
https://rizful.com/ -- instant payments, anywhere, anytime, uncensorable, via the Lightning Network....
I've been migrating my projects from Dagger to Bazel. It's... slowly making progress. Claude really wants to take shortcuts and I've never used Bazel before.
https://github.com/shepherdjerred/monorepo
Invoicing app for individual workers in Europe. Currently I am focused on compliance (it is Europe after all)). Check it here: https://www.haiku.lt
https://taxmax.dev - AI tax agent that helps teams optimally classify their spend - we're looking for design partners if you want a free report.
Nobody will read this and the game is not ready, BUT maybe one of you can check it out and tell me what you think. It is called ZAEL. It is a mage arena web app (smartphone/Desktop), played from 1 to 4 players, no login, easy to share a link to invite people into your game, whatever the platform. It is no install, no bullshit. Just click and play
https://www.zael.app
I have found out that it is very efficient to use phaser.js/three.js for fast, vibe coding, because it handles everything without having to setup a unity scene manually or unreal blueprint. I really recommend to make web apps instead for vibe coding. I love how easy it goes.
I've been building a little io style game since Christmas, it's been fun!
https://hovertag.io/
My kid played it, and didn't stop for 45 minutes so I think that's a win :-)
We're pivoting our growth agency to be "AI-Native" this quarter. Getting everyone on the team to begin their tasks with "let's instruct Claude to do this" rather then themselves.
Lots of this is going to involve getting people more up to speed on CS, can't wait.
Interesting pivot — one thing I'd be curious about: does your agency help clients collect social proof / testimonials from their customers? That's one of those tasks that sounds simple ("just ask them to write a review") but has terrible follow-through in practice.
I'm working on socialproof.dev which automates that step — shareable link, structured form, one-click approve and embed. Wondering if that kind of tool would fit into what a growth agency delivers to clients, or if it's something you'd rather solve with AI prompts and an email sequence.
working on researching how much the impact of media and ad network requests is on web sites
I wanted to build a landing page for my gf, but since LLMs make it so simple I'm building SaaS for Psychoeducation.
Modifications to my Land Cruiser j90
- LED daytime running lights / off-road LED light bar
- Winch
- Front left – tie rod end (both)
- Rear axle – pinion bearing (loud while driving)
- Right rear brake caliper – brake fluid leaking from the piston
- Boost chip (chip + turbo tee), Kill switch
I built a daily puzzles site at https://dailybaffle.com, and I'm working on promoting it and releasing the mobile app for it this month. Turns out it's a lot of work to promote things!
I built a lightweight (<1mb) chrome extension (with over 600,000 downloads) that lets you chat with page, draft emails and messages, fix grammar, translate, summarize page, etc.. You can use models from OpenAl, Google, and Anthropic.
Yes, you can use your own API key as well.
A proxy server to give my agent access to my Gmail with permissions as granular as I like. Like can create filters to custom label but not send to trash. As my inbox is at 99% due to years of zero discipline giving my email out to every company on the web :)
willing to share?
I’m working on Green Tea. A open source note app built on Pi agent framework. Basically gives you the power of a coding agent harness for knowledge work in an electron app.
No accounts required, all data is yours and lives on your computer.
Check it out: https://greentea.app
https://kerns.ai/ - Get answers to questions with citations, visualize papers/books/reports.
Wondering if there are other similar tools out there which people love, and why ChatGPT/Gemini/Claude won't let you do the same in their native apps.
A flight simulator with realistic world (Google Maps) in the browser: https://worldflightsim.com/beta/
A theme hospital meet silicon valley game :D https://burn-rate.pages.dev/
Very cool!
AI-proof careers leaderboard
https://www.ai-proof-careers.com/
Super annoyed by the "AI will take your jobs" hysteria, so I pulled BLS data and analyzed talks by AI researchers and a few industry folks, and ranked 900+ BLS jobs by AI resilience.
Nocode transform: From 30 photos --> FPS video game.
Example : https://shorturl.at/We3dH
I'm learning how to train transformer models locally to do useful work instead of having to pay for claude. I regularly update my blog here https://seanneilan.com/posts
I am working on Voiden : Api client based on executable markdown !
Check it out here : https://github.com/VoidenHQ/voiden
A context management system that keeps your docs synced to your code and gives LLMs a way to navigate docs easily: https://github.com/yagmin/lasso
Hi! My name is Pablo. I’m a Product and UX Designer currently working on Maxxmod [1], a browser extension that gives users more control over the YouTube interface by reducing clutter, removing distractions, and adding features the platform doesn’t offer.
I’ve already completed the research, business model, competitive analysis, feature set, branding, and the full UI (40+ screens).
The MVP/V1 is currently in development. When the V1 is ready I’m planning to do a Show HN with this account.
It's my first product. Any feedback or questions are very welcome, even if it's just based on the idea and the screenshots on the site, since the product isn’t available to try yet.
[1] https://maxxmod.com
Making rent as an open source developer.
Shamelessly trying to attract new monthly sponsors and people willing to buy me the occasional pizza with my crap HTML skills.
https://brynet.ca/wallofpizza.html
I built a reader companion for Neal Stephenson's The Baroque Cycle to keep track of where the characters are on a map, and having useful info like chapter summaries and Wikipedia articles to read. https://baroque-cycle.fyi
We've been building Doodledapp, a visual node-graph editor for Solidity (Ethereum). It's been really exciting to work on something genuinely interesting.
https://doodledapp.com/
Continuing my weekly newsletter about agentic coding updates:
https://www.agenticcodingweekly.com/
TypeQuicker (https://typequicker.com) - personalized and engaging typing application.
Anyone can learn to type fast - I think it just takes the right tools to make it interesting enough for the users to use daily
I really want someone to build this:
Using a webcam, monitor finger movements and find mistakes (using some sort of AI video analysis) to help user figure out how to improve. It's a hard thing to build but if you build it there is going to be paying customers. You can even sell hardware and subscriptions with it. Lots of schools want this!
Really pretty keyboard widget, though it did slightly confuse me that is showing the next key, not what I actually typed.
Cool! I found your solution a while ago while searching for something similar, do you plan to support other locales and/or keyboard layouts in the future?
Not being fired because of AI
usm.tools https://usm.tools/public/landing/ - platform that allows defining services (the organizational kind) as data, allowing different stakeholders differemt views on them. For instance somebody participating in a service delivery can see how they contribute to it
Arch Asxent https://github.com/mikko-ahonen/arch-ascent - tool for analyzing large microservice networks with hundres of microservices and creating architectural vision for them, and steps to reach the vision
Still working bringing AI agents to Godot. We recently hit 1k MRR.
Product link: https://ziva.sh/
Developing this idea of a ClaudeVM and that being the future where we just write literate programs of Englishscript that run directly on the VM and eliminate this code compilation steps entirely.
mock, an API creation and testing utility. Any feedback is welcome.
https://dhuan.github.io/mock/latest/examples.html
https://github.com/computerex/dlgo
Golang inference engine from scratch that can run a bunch of models with vulkan acceleration.
The best agent framework: https://github.com/fugue-labs/gollem
A developer tool that lets you (or your coding agent) understand how users will experience your AI product before you ship it.
A prompt injection solution that seems to benchmark better than any other approach out there, while not using hard-coded filters or a lightweight LLM which adds latency.
Link? Or a description of your approach? Sounds interesting!
https://www.personalreach.ai/
Automated personal outreach app for job seekers, integrated with Gmail.
https://offmetaedh.com
Art search for magic cards
A developer tool that lets you understand how users will experience your AI product before you ship it.
In the past couple of months I've
Built a Cythonized Icecast2 implementation I've wanted for years: https://github.com/lukeb42/cycast
Built a p2p Kanban board that fits in a single .html file and uses only the Python stdlib for LAN discovery https://github.com/lukeb42/kanban_p2p
Developed a p2p legislature that scales from a small team of 3 users to countries of tens of millions of people: https://gist.githubusercontent.com/LukeB42/deb887691f13dee9c...
Developed a small SPA framework inspired by React, Ractive-Load and hn.js: https://lukeb42.github.io/vertex-manual.html
Updated a news archival service for Python 3.x: https://github.com/lukeb42/harvest
Made a scriptable IRC client inspired by irssi and mIRC: https://github.com/lukeb42/scroll
and worked on a couple of my company's products.
Trying to solve source control collaboration for agents across dev teams to preempt merge conflicts pre-commit
working on a text game engine similar to Evennia: https://github.com/electroglyph/atheriz
A few things.
I've been on/off working on a Forth compiler for the NES. It will be open source soon enough but I'm not happy with the code right now as it's extremely messy, repetitive, and buggy, but I think it's turning out ok. I am resisting the urge to use Claude to do all the work for me, since that's depressing.
I've also been working on a clone of the old podcasting website TalkShoe. It's nothing too complicated. It's mostly an excuse to learn a bit more about Asterisk and telephony stuff. I'm hoping to have something fully usable in about a month or two.
I forked the main MiSTer binary due to some disagreements I had with Sorg in how he's running things [1]. My fork was largely done by Codex and Claude, but the tl;dr of it is that it has automatic backup of your saves, tagging and versioning of your saves, and it abuses the hell out of SQLite to give better guarantees of write safety than the vanilla MiSTer binary gives you. I've been using it for a few weeks now and it seems to work fine, and it's neat to be able to tag and version saves.
I think that's mostly it. I'm always hacking on something so there might be a straggler there.
[1] https://github.com/Tombert/Main_MiSSus/blob/master/README.md
Trying to get into learning more about Hardware Security Modules and PKCS#11
More stuff for pony than you can shake a stick at.
I've been working on an online catan alternative. Play at https://sokataan.io I'm using expo and spacetimedb.
We're building a new CRM from the ground up. We've helped a handful of companies and non-profits set up CRMs and it's amazing how bad existing CRMs are. It's like they don't understand what common day to day tasks need to be made as easy as possible.
We're also trying to use AI more thoughtfully than just bolting on a chatbot. We're planning to consider each workflow our customers need and how AI might help speed them up - even letting them build custom AI workflows. I think most businesses (especially smaller businesses) don't want to work at the level of Claude Code, Codex, etc. They want to work on higher level problems - build this dashboard, connect these data sources, invoice this customer, etc.
Aside from that, we've noticed that the basics really matter, so we're trying to nail that first.
We're definitely a bit delusional, we're just 3 people, we're doing it without funding and the competition is stiff, but we really believe in the product. Additionally, I think a lot of CRMs go south by taking on too much VC that naturally pushes them to prioritize ROI instead of continually improving the product.
There is so much opportunity in AI that is not just a chatbot, I almost feel there should be category of tools that is LLM powered, but not [here is empty textbox] Best of luck!
I'm building a zork-like dungeon explorer for vibe coded projects. Ok, the zork interface is not that important, but it adds an extra layer of fun, and does reflect the reality of how I dig through a codebase to understand it. You start at the entry point and start exploring each code path to build a map of what is going on, taking notes as you go, and using tools if you're lucky to get a sense of the overall structure. You can also go up and down a level of abstraction like going up and down a dungeon.
It incorporates also complaints from a static analyzer for Python and Javascript that detects 90+ vibe slop anti-patterns using mostly ASTs, and in some cases AST + small language models. The complaints give the local class and methods a sense of how much pain they are in, so I give the code a sense of its own emotional state.
I also build data flow schematics of the entire system so I can visualize the project as a wire diagram, which is very helpful to quickly see what is going on.
Canadian c3 citizenship application.
# My over-engineered console.log replacement is almost API/feature-stable: https://github.com/Leftium/gg
- Named `gg` for grep-ibility and ease of typing.
- However Claude has been inserting most calls for me (and can now read back the client-side results without any dev interaction!)
- Here is how Claude used gg to fix a layout bug in itself (gg ships with an optional dev console): https://github.com/Leftium/gg/blob/main/references/gg-consol...
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# I've been prototyping realtime streaming transcription UX: https://rift-transcription.vercel.app
- Really want to use dictation app in addition to typing on a daily basis, but the current UX of all apps I've tried are insufficient.
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# https://veneer.leftium.com is a thin layer over Google forms + sheets
- If you can use Google forms, you can publish a nice-looking web site with an optional form
- Example: https://www.vivimil.com
- Example: https://veneer.leftium.com/s.1RoVLit_cAJPZBeFYzSwHc7vADV_fYL...
- DEMO (feel free to try the sign up feature): https://veneer.leftium.com/g.chwbD7sLmAoLe65Z8
A tool like Claude Code, Codex, etc. but designed from the beginning to work well with open and local models:
https://swival.dev
It also comes with nice features and benchmarking abilities. For running evals, it has a companion called Calibra https://calibra.swival.dev
Opensource Toast alternative for restaurants
Hey I am super interested in this, got any links to check out?
Sure here's the demo:
https://craft-burgers.openship.org/
Github:
https://github.com/openshiporg/openfront-restaurant
We're actually building an opensource SaaS for every vertical. We shipped our Shopify alternative end of last year and after restaurant, we have hotels, grocery, and gyms next.
https://proxybase.xyz - residential proxies but for agents
A graphical text editor / IDE in Go with SDL3.
I've been ramping up development of https://whodoyouknowhere.io
It is a forum application where each community is invite only. Think a cross between reddit/discord. The invite only architecture reduces trolls, spam, AI slop and promotes more substantive discussions.
Right now invitations are limited to 1 per day for each user in a community. You don't need an invite to join at the global level - but to join any community you must have received an invitation link. Still a major work in progress, right now working on expanding the flexibility of community creation and invitation logic. (allowing bulk invites, adding flexible invitation cool downs, etc).
After reading Sebastian Aaltonen's No Graphics API blog post [1], now I'm working on implementing the suggested API using Metal 4.
Also I gave that blog post to Claude Code and asked to implement the API and it made terrible terrible mistakes. Just saying.
[1] https://www.sebastianaaltonen.com/blog/no-graphics-api
Against my better judgement, I'll post this landing page to a tool I'm working on:
https://wasm-drydock.dev
About an hour ago I was dismissed as AI slop on the r/rust Reddit. Whatever.
This tool is my line of defense in case `trunk` goes dead, which it seems to be increasingly likely. It helps me build fullstack sites using Actix Web and Yew.
Using it now to see if I can re-invent my blog site for the umpteenth time. :)
org-babel for neovim, using markdown instead of org as the file format.
whole workspace offline sync for notion
I posted another comment about my main project, but on the side, I'm working on an ergonomic local sandbox management tool. Yes, for AI agents, but also for anything else. Crowded space — there's one at the top of the homepage right now — but at the very least it'll work the way I want it to. Currently dogfooding that; if it gets decent I'd likely open-source it.
Also a bunch of other smaller projects and ideas.
learning how to fine tune image models, for an attempt at getting diffusion to output LWIR fire mapping data from RGB picture images
so far, ive spent a lot of manual time labeling and matching RGB and LWIR images, and trying to figure out first ways to get better pose matches when the flights arent the same.
that, and many different attempts at getting torch to work using my laptop's GPU and NPU. i think im close, without having to build torch from source woo.
Ive been having an eye towards getting better llm generation quality for python too, but havent put a focus on it yet. im fed up with it making one off script after one off script and instead of just making a react app, making some raw html and making a new html file with the new and old bugs every time i want to do something interactive. its maddening.
my last month of gettin claude code ro play pokemon webt well and ive about learned skills pretty well now, but it keeps wanting to do like a challenge run of sticking with a single pokemon.
I am still not working on anything big right now, but among the things I did in the last two weeks or so, I improved the widgets-project I maintain. This one is to be used to support as many different GUI toolkits as possible (including use cases for javascript + the web). The idea is to have objects that are abstract and represent a widget, say:
It defaults to ruby and what ruby supports (including jruby-swing) but two additional languages to use are python and java. Anyway.I recently added the possibility to describe what kind of widgets are to be used via a yaml file, as an option. This may not sound like a huge win, but so far what I like here is that it becomes easier to modify individual widgets without having to sift through code; and it works for more programming languages too. Any customization for the widget, including method-invocations if necessary, can be done via a yaml file now. There is of course a trade off in that the yaml file can become a bit complex (if the GUI uses many widgets), so for the most part I use this for smaller widgets/components that do one specific functionality (or, few specific functionalities). For instance, a GUI over wget. Then if other larger programs need that, I make this small widget more useful and flexible.
The distant goal is to actually use a simple DSL that also would allow average Joe to customize everything in a very easy manner; and to have a widget set that can be used for as many different parts possible including wonky ideas such as having a whole operating system as a GUI available one day (a bit like webmin, but not limited to what webmin does; for instance, I'd also have games such as solitaire, reversi and so forth). I'd like to see how far that idea can go, but it is just a hobby so I can only invest little time into it.
I am hauling junk in Silicon Valley: https://650hauling.com
(1) PROJECT "AFFIRMATOR" - Start each day out right with chill jazz wake-up music, then life-success wisdom (Earl Nightingale, Tony Robbins, etc). In the evening, fun latin cooking music plays, and then lo-fi chill tunes. At night, your personalized vocalized affirmations & goals plays, and then drift to sleep with meditation music.
Tech details: I found that used, small form-factor Dell Optiplexes are great for product protoytyping. I'm in Medellin Colombia, and found that you can buy these for about $200 USD - they are often former Point of Sale (POS) or office computers, from about 10 years ago. They have SSDs, run quiet, and are very reliable.
For project Affirmator, I installed Linux Mint Debian Edition (LMDE). Using Cron and Mpv to shuffle-play activity-specific folders of MP3s at the same time each day. For example, for the chill jazz music - I've got a folder of 40+ song MP3s. Cron plays those at 06:30. So it's like a calm, upbeat alarm clock. I'm not a morning person, so this is a "friendly" way for me to wake myself up!
For the vocal affirmation part - I built a Python tool that reads 200+ text affirmations from a markdown/text file. It then uses AWS Polly text-to-speech API to vocalize the affirmations into MP3s. Next, I use `ffmpeg` to add a variable silent spacer gap to the ends of all the MP3s. This allows your to hear a voice affirmation ("I am fit, athletic, and strong!", "I am a confident piano player."), and then there is silent space for you to say it out loud, or repeat in your head.
This project incorporates ideas & routines from: The Strangest Secret by Earl Nightingale, Tony Robbins Personal Power II, Think and Grow Rich by Napoleon Hill, and Atomic Habits by James Clear
https://codeberg.org/jro/Affirmator-app
(2) PROJECT "LINGOFREQ" - Language learning tool. Uses language-specific high-frequency word lists. Generates example sentences according to a theme/topic. Translates the word & example phrases to English / Spanish / Chinese. Uses Text-to-speech to vocalize the phrases into each language. These phrases are ordered by frequency. When you want to improve your language skills, you set a "window" range of frequency you want to practice, and Lingofreq will play audio files in this range. You can learn Chinese & Spanish while doing the dishes, at the gym, or before going to bed!
Code: https://codeberg.org/jro/LingoFreq-app/src/branch/main/apps
(3) Medellin COMMUNITY MAKER-SPACE / CREATIVE ENTREPRENEUR LAB I'm at Medellin Colombia - my mission is to create the best maker-space. I was a member of ASMBLY Maker-space in Austin Texas (great space!) and worked at Pivotal Labs (agile product prototyping / software lab) - so I'm aiming to combine the best ideas from those.
BACK-BURNER projects:
Documenting my Knowledge as "Public Knowledge Base" - https://codeberg.org/jro/Knowledge - Here are my notes on Python, Git - I'm bouncing between Obsidian Sync / Publish / Markdown (currently easiest way), and some sort of open-source knowledge base website (VSCodium + Markdown + FOAM + MkDocs + RClone). I haven't found a solution I'm happy with yet...
Open-source CNC router tech stack: - I have a CNC router (robotic drill which can carve 3D shapes into wood). Last year I challenged myself to operate it completely through an open-source tech stack. This took me on a journey of learning Inkscape (2d vector design tool, SVG), FreeCAD (3D product design / CAD / CAM tool), G-code (format of text instructions which tell CNC tools where to move and what to do), Universal G-Code Sender (a tool which imports CAM - computer aided manufacturing - designs, connects to the CNC router tool, and actually operates machine. It's quite exciting to play with! Used Kiri-moto (web-based CAD / CAM tool) to convert 2D/SVG designs into 3D shapes). Used OBS (screen recording/streaming tool) and a bunch of web-cams to live-stream tool usage to PeerTube Live (similar to YouTube).
Being "principled" about using open-source tools can be so challenging, but its quite rewarding on the long run.
LEARNING SPANISH - What's working for me... trying to read spanish books before bed. Handwriting a few paragraphs from a book into journal. Highlighting words I don't know. Looking them up later. Reading a book while listening to its audio book at the same time.
If anyone's interesting in contributing to these projects, I would warmly welcome that. Design, product, sales, project management, engineering/coding, marketing - need tons of help in all these areas.
Gracias! // JRO
An alternative to Oracle's VBCS Plugin for Excel [1]
Oracle's plugin allows you access Fusion REST Endpoints (your business data) from within an Excel workbook but it only works on Windows machines and has some other limitations.
Also added a plugin for inspecting punchout payloads for RSSP [2]
[1] https://vbcs-alt.com/
[2] https://vbcs-alt.com/inspect_punchout/
https://reader.fangorn.io/
RSS and podcast Google Readerish clone mostly for myself
I made an AMQP message queue which implements only the most commonly used stuff.
It has one SQLite database per queue.
In golang.
Why? Because Rabbit is slow and resource hungry and needs configuration.
A lightweight web-based RSS reader to use on my Kindle.
https://github.com/adhamsalama/simple-rss-reader
I'm building the best ebook reader you'll ever find. Supports all devices.
https://merrilin.ai
A semantic search engine for urban dictionary to be able to search for stupid phrases that the youth keeps redefining
Problems I'm having: - Getting enriched vectors because the definitions to some of the words are absolute garbage - Finding a good open source embedding model, currently using nomic-embed-text
Goal: Find me words originating from X city and it not giving me results that match X
Growth hacking tool on X platform,
https://xrayfeed.deepwalker.xyz
https://codeinput.com - Currently working on a comprehensive CODEOWNERS solution. Check out the CLI @ https://github.com/code-input/cli - Chrome Extension @ https://chromewebstore.google.com/detail/code-input/fehfhejp... and VS Code extension @ https://marketplace.visualstudio.com/items?itemName=codeinpu...
Hi, garry. I hope you’re doing well. I wanted to briefly introduce myself.
I’m a Senior Full Stack Engineer with over 8 years of experience building and scaling production systems using Node.js, TypeScript, React, and Python. I’ve worked in remote, product-focused environments where I’ve led architectural improvements, including migrating a monolithic system to microservices, reducing deployment time by around 50% and improving scalability and reliability.
I’m comfortable owning features end-to-end — from system design and API development to deployment, performance optimization, and production support. I’ve also implemented CI/CD pipelines, improved database performance (PostgreSQL), and contributed to cloud-native infrastructure on AWS using Docker and Kubernetes. In addition, I’ve worked on AI-driven workflows and LLM integrations for modern product capabilities.
I’m currently exploring new remote opportunities and would love to connect if you’re building or scaling a product where strong backend architecture, clean execution, and ownership matter.
If it makes sense, I’d be happy to schedule a short conversation. Thank you.