A high-throughput multicast Bitcoin transaction distribution system (for the scaled BSV Blockchain variant), with a roadmap towards billions of transactions per second.
Features:
- control channel for block header announcements, operational mechanisms, and network topology automation
- separate channels for subtree, subtree grouping, and transaction load
- transaction load sharding by deterministic multicast group membership based on TXID
- transaction specialization filtering and retransmission both unicast and multicast, to connect edge networks only interested in a portion of the transaction load for whatever reason
- NACK-based retransmission of missed packets via hash chain gap sequence tracking (per sender, per shard) with automated caching endpoint beacon discovery and tiered network distribution
- BGP-AnyCast based transaction ingress
Basically all the topology pieces to scale the actual small-world network for Bitcoin miners or transaction processors; dense at the core, with layered and sharded group distribution towards users at the edges. Right now just site or org-scope multicast in planned, but provisions are being made to extend via MP-BGP eventually.
I started a new software defined automation project. I wanted something that I could just open a webpage and start writing code that could just be uploaded and ran instantly. I picked an ESP32-P4 for the first hardware. It’s MIT licensed and has a git repo that I put up this morning https://github.com/OpenPiLab/pilab-esp32-p4-plc
I can't really go into details of what I am working on. But I'd like to say that a lot of European corporations are running their stuff on Azure and are very much interested in having Data Lake(house) platforms tailor made to their business and IT requirements based on Databricks and their stack. I mention this because I find this mismatch of what I see being relevant in business and what is being upvoted on Hackernews quite interesting (for the lack of a better word).
I’m an application developer by day, but lately Claude Code and Codex have finally made microcontrollers approachable enough for me to start tinkering with them on the side. I built this little “holographic” display that shows the surf forecast for any beach. While my friend built the casing, and mechanical part of it
I’m working on a project that blocks agents from breaking rules. The rules are enforced through hooks and work across Claude Code, Codex, and GitHub Copilot.
I’m working on a ground-up implementation of RADIUS with everything running on stateless compute. It’s a beast with many problems to solve but I have EAP-TLS, TTLS and PEAP all working. I’d love to connect with folks interested in this kind of thing.
A timelapse platform powered by community photos. The idea is to place a mount and QR code at fixed viewpoints around the neighbourhood. People scan, photograph the view, optionally add their name, and submit. Over time, the platform stitches those shots into a living record of how the place changes with seasons.
Just finished the software side using a boring technology and am about to order the materials for the first few locations. Curious to explore photo alignment once real submissions start coming in. Stitching all slightly different angled photos into a smooth animation seems interesting.
I’m building a small map application that allows me/friends/family to explore data overlays about morel mushrooms phenology and habitat (ground temp/moisture/terrain/aspect/tree species/etc). There’s some lightweight forecasting and timing models to help guess at near-term fruiting. I had a big push about a mouth ago to tighten things up, and initial experiences in the field this year have been very promising.
I’ll keep chipping away at it this year, and probably expand beyond morels to other seasonal natural phenomena that my people enjoy like smelt/salmon run, wildflower blooms, etc.
I do calisthenics 3×/week plus Ironman 70.3 prep, which means my training lives across Garmin, Polar, Withings + FIT files and front-lever sessions that no mainstream app models. So I built one that does both (and have been using for the past 4 years+): logs custom strength moves (front lever, FLAC, ¾ pull-ups), aggregates the connected devices (Polar, Garmin, Suunto, Withings, Apple Health) into one weekly view.
Currently trying to see if can integrate some AI insights to my training routines.
App is free for now as it does not cost me much (only servers for now), comment / use cases welcome: https://obitrain.com/
Been working on and off on a Spotify recommendation egnine after getting tired of Spotify’s repetitive recommendations.
You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better, curated by you version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.
It works best if you follow a good amount of artists. Optionally you can get recommendations from artists that belong to playlists you follow or you've created. If you don't follow much or any artists, then you should enable that in order for the service to be useful, as right now that's the only pools of artists the recommendations are based on.
I am working on the Learnix operating system (https://gitHub.com/sagi21805/LearnixOS)
Mainly an educational project, to understand and teach about OS and Rust concepts (The OS is written in Rust)
I'm building a chrome extension that scans everything you read and highlights text if it maps to a market on kalshi. On hover, a tooltip pops up allowing you to drop money on it.
Use this to doomscroll nba twitter and sports bet, or if you're feeling more highbrow, peruse the NYT and passively gamble on geopolitical events.
It works on MacOS, built with Swift and Metal. My goal is to make a super fast, and free, focus stacking program. I provided a notarized MacOS DMG for the initial release, but if built yourself, it will run on an M4/M5 series iPad Pro as well.
The core ability I wanted was to support RAW files as inputs, with DNG files as outputs. This is done using either LibRaw, or Adobe DNG Converter (runtime options).
I have been really into macro photography the last couple years, and have been slowly working on trying to build my own program to handle the focus stacking.
I’m working on a tiny terminal config / dotfiles / tool installation manager so I can keep everything in sync between my machines. Also includes profiles so I can tailor each machine how I see fit. https://github.com/phalt/pauldot
Being a weightlifter for 20+ years now, I'm working on a barbell speed and path tracking sensor based on newer IMU hardware technologies, which makes it both more precise and cheaper than camera- or actuator-based systems. Ultimately it helps you lift and train safer and better.
It's an intersection of industrial design, hardware, firmware, and software (and some sport science, of course). This intersection is not yet dominated by LLMs so it's a breath of fresh air.
In an early prototype stage as in "strap a Raspberry Pi to a bar", but it looks promising and I'm happy to move forward, also using connections from my previous 12+ years in China.
Wannabe powerlifter here of about 20 years as well. This sounds like an awesome project! Is bar-path the main metric for safety and "better" lifting? A project I had in mind, once upon a time, was an automatic "Form Check Friday" for myself using a Pi + Webcam.
After quite a few years of coming up with and implementing 'great ideas' but not being able to follow through to making them revenue generating products, I'm on my best bet so far.
I always wanted to build a real-life puzzle game, which is app/mobile assisted. Had yet another eureka moment, and built a usable prototype (backend plus iOS app). Good feedback from a small circle.
For a while I was aware of someone (I knew by sight) who worked in the same sort of subject matter (but a non-tech). I approached her, we had a coffee, I pitched the idea and how she could bring it to life, as I made the tech side. She jumped on board.
We're two and a half weeks in, have gone full speed and are making something great (for our audience). My future co-founder is amazing, great insights, opinions, drive. We're potentially launching in a couple of weeks, a free/MVP version of a puzzle game.
I've been through many iterations of trying to get something off the ground. Tried tech co-founders, and the last years of going solo (very hard after you've done the coding). But this now feels right. A puzzle app/game for every day people to have some fun. And a future co-founder whose life is outside tech, who's bring a sort of fun energy outwith let's make loads of money or isn't the framework/AI cool.
Balance is good. Contact with reality is good too :)
Still working on ghidra-delinker-extension, trying to wrap up the OMF object file exporter at the moment. Then I'd like to implement generation of debugging symbols (at least DWARF and CodeView, maybe STABS and CTF), although lately I've received a PR for PowerPC and an issue for delinking shared objects.
I'm also thinking about writing the Necronomicon of delinking at some point. The extension keeps spreading by word of mouth and there's only so much UX improvements I can do, for something that requires throwing everything you've learned in CS 101 into the trashcan before you can "get" it.
A non-profit to deconcentrate power over AI through better infrastructure for external auditing/oversight, and better infrastructure for local/federated inference/training https://openmined.org/
Wrote a Forth VM in C in about 1996 based on TCJ articles by Brag Rodriguez. Managed to get it to compile with modern GCC this morning and fix all the horrible issues with valgrind. Trying to adapt it to a context where it'll be usable for a spreadsheet-like system with reasonable decimal numeric precision. Consider it an RPL calculator with an Excel-like front end.
I'm working on a diffusion-powered UI design tool. My short term goal is to make AI-designed UI not look like Tailwind. My long-term goal is to be Figma, but powered by diffusion.
I quit Figma about 4mo ago to start working on this, and the gpt-image-2 drop really legitized the bet. I recently release Brands for diffui, which let you establish a design system and consistently generate with it. I made a Brand out of the recent UFO files release, which allow for some really fun designs:
Dealing with some rough stuff in life so I'm involved in random stuff to distract myself. Moved my personal blog to Astro. I wanted to scratch and itch I had about self hosting my comments. So I built a lightweight node-based opensource comment system called discuss - https://github.com/karthikeyankc/discuss.
A small, generic Go library for retrying fallible operations with exponential backoff and pluggable jitter strategies.
https://github.com/nodivbyzero/try
From 50 to 5 seconds. The world's fastest and most up to date investment ai. It's powered directly through our database to ground the information and reduce hallucinations. Still in development though.
I've been working on a AI app to replace Claude Desktop and Mobile for personal use.
The main goals are to own my data (memories, artifacts, chats), be able to switch AI providers at any point (if one is down or I want to try a new model), have the same experience between desktop and mobile especially when it comes to working remotely on code.
A bigger vision is to offer everyone a alternative to Claude and ChatGPT they can own just like OpenClaw but with a great app experience.
I hope to have the first beta published by the end of next week.
I'm working on GPS tools to help support my current contract. I've found there are no good tools for tracing a route on a map and having a mobile device think it's traveling that route. I'm not just talking GPS coordinates, but speed, direction, motion detection, precise timing between waypoints, being able to play these trips forward and backward, step by step, etc. I'm talking time-travel debugging for GPS applications.
Been writing in my blog every day, reading more, created a poker equity calculator, and working on a city wide project where I document attractions, restaurants, and stays I've experienced in my city (very early stages).
I have been working for some time on a budget body/facial mocap solution with Unity. Mocap is hard, and what exists is locked behind subscriptions or is just very expensive.
With Unity I'm trying to bundle a bunch of different free, cheap or open source solutions together. For facial, that includes a custom converter from the output of Deadface (based on Mediapipe) with ARKit blendshapes, and also eye movement. For body it's a custom hook to SlimeVR that allows you to mocap with cheap-ish IMU-based DIY trackers, and all that on top of a custom made (not free but open source) physics rig solution that gives you accurate rigid body real time collision, saving on cleanup work.
It's being going really nice despite being an unusual workflow. Hope to release it as a plugin for a in-development sandbox game in the near future. Mocap and animation has been my passion long before i started with tech stuff, and finally I'm able to pursue it.
Retired so two projects; a 2D arcade board using a RP2350, and my 3rd sci-fi/techno-thriller novel: Currently approx 140,000 words into a 100,000 word novel and about 50% complete.
I've been working on Mesaphore, an Excel-like spreadsheet app[0] backed by a Parquet-based file format. The premise is when Excel starts off as the starting point, then over time becomes a data exchange format between systems, and eventually becomes a bottleneck for the system. You still want to provide your users something Excel-like but also want to address the limits of Excel[1].
Majority of code (almost 70%) is generated by Gemini Pro and is extremely ugly. Due to a recent eye injury, I've not been able to code as much as I want, so I'm delegating many things to Gemini. Eventually, as my health improves, I plan to rewrite the entire thing.
My own browser game. I created a browser game engine and building my first ever game with it. I can’t wait to launch it, I think it’s pretty cool. I’ve been working on it for 6 years!
The tech surrounding the game is awesome, the game and engine are fully deterministic, discrete (not float based), and bit-packed data structures throughout, powers of 2 everywhere for really fast operations, and logic and rendering are fully decoupled.
I wrote a simulator for the game and can simulate 10,000+ games in around 50 seconds on my MacBook M1 Pro. Purpose of the simulations is Monte Carlo method to tune my enemy AI (not LLM - conventional bots etc)
I've been working on something in the vein of a indie game for a little over a year now. It has been a passion project, but I'm starting to come around on showing it to people.
I am a big fan of Telltale style narrative games. I think Baldur's Gate 3 was the biggest revelation of this for me. Taking that branching dialogue and freedom of choice, and tacking it on to a fun combat system was just everything.
When text based GTRPGs started popping up, I found it hard to connect with them stylistically. I found that I needed the multimodal stimulus of visuals and audio. This led me to start building something, and it ended up being somewhat of a cross between a Telltale game, a Visual novel, and a TTRPG.
Orpheus (https://orpheus.gg) is a fully on-the-fly generated tabletop simulator, with graphics, audio (TTS), and the freedom you can usually only find at a real TTRPG table. That means you can play a sci-fi, fantasy, or even a modern setting in your campaign. The assets are made for you as needed. It runs in your browser so nothing to install or tinker with.
Getting the harness right so the AI GM can stay coherent and organized has been the biggest challenge. It took a lot of iterations to get it to a point where it could understand the scenes it was building as the player changed them.
I've built it to be played with either a keyboard or a gamepad so you can play from your couch. You can switch between them as you feel like it. There is a 3D tabletop for combat, full character sheets, dice rolling, lore tracking. I want it to be dense.
Mostly, I’m looking for people who want to try it, break it, and tell me what feels magical, confusing, boring, or broken. My biggest roadblock currently is that asset generation is relatively expensive. I'm currently mulling over whether a playtest would allow for a BYOK setup so people could try playing as much as they'd like, or if I should add turn limits.
You can join the playtest waitlist at https://orpheus.gg/ -- and I just setup a discord (https://discord.gg/pychWyzf) that I will use for early playtests. (Just me right now! Come hang out!)
I've been the DM of a weekly campaign with the same group of friends for nearly a decade now. Over the past few years, I’ve seen a lot of attempts at AI meets D&D, and most of them suffer from fairly pedestrian puzzles and stories, and don’t really compare to what a decent, semi-competent human writer can come up with.
I'd love to see a more modern day attempt at something like Bioware's Neverwinter Nights - which was designed so that someone could create a campaign, and then the game would provide the behavior, pathfinding, assets, and everything else with a virtual (or human) DM behind the scenes. You could still tell a human-driven story, but the engine would do a lot of the heavy lifting.
Why not generate some asset libraries to help with some of the rote generation? You could theoretically serve the same asset for a pack of rats to multiple campaigns.
Yes! I am doing a lot of this where it won't break the illusion. Not everyone needs a unique innkeeper generated in every town, but I want to avoid that "Officer Jenny" effect like in Pokemon where she looks the same in every town they visit.
I have a private vs public flag for assets that I'm considering more unique or sensitive, at the AI GM's discretion. I'm using embeddings from there to try and parse if an asset already exists in the public pool or not, and reuse it if possible. The thinking is that eventually I will have pretty decent asset coverage on most standard campaigns. I can't account for people going way off book though.
I have an asset pipeline that tries to determine player intent and pre-generate assets before they're needed. That way we can attempt to hide the "load screens" like retro games did with elevators. I have a kind of sliding scale for player coherency, and if the player has too many "misses" on the pre-generation pipeline it will increase its requirements for when it starts generating.
I may have wildly over-engineered this but I love it. =)
1) “AI harness plugin build system” to help improve reliability of and increase compatibility across the fragmented AI coding harness plugin ecosystem.
2) Claude code plugin based on some ideas found in https://www.anthropic.com/research/emotion-concepts-function
The main idea is to add hooks that inject “baselines” under some conditions to counteract certain “emotions” that can cause subtle misaligned behavior in agents
3) Final Fantasy XI custom client remaster in Bevy/Rust alongside an MCP integration that aims to allow agents to play autonomously on private servers à la “Claude plays Pokemon”
i am working on an offline weights harness for non-technical people, writers mainly. it's designed to work forever but also be adaptable as more weights get released etc.
it enforces very few paradigms, runs in the browser, and allows users to view and edit agent config files within the UI.
it's kind of a nightmare to try to figure out how to do this appropriately, but it's an interesting challenge and i have seen very few (~0?) projects with an approach like this ...
all the offline harnesses are optimized towards coding, vs. general text manipulation aka "writing."
I am working on a task manager that’s way more informative and resource efficient than the windows task manager and works on Linux. It also provides an informative dashboard for docker containers and web servers with proxy support and preference for streaming sockets supporting http and web sockets over the same ports.
I have been experimenting on using AI for hardware development. I showed some experiments on HN a couple of weeks ago (https://news.ycombinator.com/item?id=47801255). I am now trying to make my approach a little bit more comprehensive and structured, instead of several disjoint MCP servers, a single platform that connects lab instruments to AI assistants: https://teasel.tools/
As a demo, I repaired an old Philips PM5190 function generator (about 40 years old) and connected it to Claude Code. Lots of fun. Going to post a follow up video the next couple of days.
I'm building a CRDT replicated EAV graph store with reactive datalog optimized with a cascades query planner, and uses random walks during planning of the data on disk (assume NVMEs) for cardinality estimation. The idea is to provide a structured knowledge base that can quickly run queries on relatively small data (10m-100m facts) to an LLM, and teach the model to always do research within the knowledge base using powerful analytical queries wrapped in a pure functional language for formatting results (starlark in my case). Then, you would create adapters to sync data into the system, and the data instantly becomes discoverable by the LLM to help answer questions in a structured way. The LLM could also subscribe to queries and receive delta propogations as data changes to agentically react to updates.
The knowledge base is eventually consistent across computers so you could run ingestion into a knowledge base on your desktop, and just connect and replicate it to your laptop when it's online. I've been having a lot of fun learning about Cascades query planning, and it's given me an excuse to spelunk in the Data Fusion codebase (we're both writing query planners in Rust). It turns out Microsoft put together an incredible reference about this in 2024 [1], and one of the primary authors did an awesome talk about it on youtube [2], for those interested.
And yeah, it's all vibe-coded. I've gone through 8 PoCs for cardinality estimation and 3 query planners before arriving at my current design. The ability to try stuff, rip it out, try other things; has been incredible. I would have either given up or been stuck with my first or second attempt right now without an LLM to help me quickly prototype concepts
For example, if I downgrade from Max to Pro I'd still be able to use the subscription, but also run sessions with other models (less expensive/local) as desired:
ccode init-config # initializes a new config file for me to set everything up
ccode edit-config # opens it in my editor so I can change, can also include editor as argument e.g. vim
ccode # launches whatever my default profile is
ccode --deepseek # Using their API key, they have a discount this month
ccode --openrouter # Whatever OpenRouter model I have configured in the config file
ccode --openrouter-preset # Also supports OpenRouter presets e.g. if I don't want to use quantized models
ccode --deepseek --control # launches a Remote Control session, shows up in web/desktop app as a regular session
ccode --deepseek --auto # overrides the default permissions, --yolo also works
... (and so on, there's more examples on the website)
Source available, pre-built binaries on itch.io, pay-what-you-want with a minimum price of 0 USD, probably get it for free first if interested in taking a look.
Also thinking that I might make it an Anthropic API --> OpenAI API proxy that allows talking to providers that don't support the Anthropic API directly, alongside allowing switching models dynamically during a session (Claude Code wouldn't even have to know about it, it'd just send requests to a local endpoint and the proxy would do the rest).
Early on, but Go is lovely to work with, mdBook is great for getting a site off the ground and I'm really surprised that more people don't use Itch.io for distributing software (or the pay-what-you-want model in general), it's dead simple!
My wife and I continue to work on Uruky, a simpler and cheaper Kagi alternative, based in the EU [1].
Since last month we’ve stabilized the search UI/UX and have 5 search providers you can choose from and sort as you prefer.
We entered May with over 50 paying customers and have recently launched Uruky Site Search [2] (for website owners, this effectively is our own search index and crawler, which we’ll be bringing into Uruky soon as another search provider option)!
Customers really enjoy the simple UI (search doesn’t require JavaScript) and search personalization (from choosing the providers to the domain boosting and exclusion). We also have hashbangs (like "!g", "!d", or “!e”) when something doesn’t quite give you what you’d expect, though.
You can see the main differences between Kagi, DuckDuckGo, Ecosia, etc. and Uruky in the footer (right side), but one huge difference is that with Uruky, after being a paying customer for 12 months, you get a copy of the source code!
Our main challenge right now is outreach because we want to do it ethically, and it’s hard to find communities or places to sponsor which are privacy-focused and don’t require €5k+ deals. Ideas are welcome! We’ve been sponsoring a project per month (Qubes OS, The Tor Project, and Hister so far), with our limited budget of ~$100 / month.
Because of bots and abuse there isn’t a free trial easily available, but if you’re a human and you’d like to try it for a week for free, reach out with your account number and we’ll set that up!
Hey, I'm from the EU and love to see such a project!
One thing I can recommend right off the bat is Reddit - there's many privacy focused subreddits, and also you can share the whole project in EU related subreddits and e.g. r/SideProject.
Would love to try it for a week, this is my account number - 9772263817629091
I'm learning about inference by running vLLM on a k8s cluster (EKS), building a gateway to keep a <2s TTFT SLO.
Most recent ha-ha moment: I kept wondering if it was normal that my cluster was only able to process 4 requests per second per vLLM engine (just seemed really low to me).
I realized a better metric is in-flight requests... Each engine is processing 70 requests at any given time, streaming tokens for over 30s.
Deeper dives into those uncover interesting limitations that don't seem to be documented anywhere. On the other hand, it is through those reverse shibboleths that I am now able to tell that my boss's boss has no idea what he is talking about llm-wise.
Working on a bread recipe community where you can share and iterate on bread recipes.
It's out of personal interest to be able to record my bread recipes and thought it might be interesting for others too.
However, I worked on it for the past ~5 years on and off (well, mostly off) and rewrote it too many times. Now finally close to releasing, bought a domain and setting up all the last remaining things.
I'm making a surf forecasting site a la surfline.com, I started mostly to have an API to use for my tidbyt, but I figured I might as well make it a full thing and built my own features! It's on quickswell.com but it's only Socal at this time (fewer spots to compute)
An EU replacement for PagerDuty, focusing on the absolute basics - SSO as the minimum even on free, no AI driven workflows, overviews etc. but may include ML/AI driven insights in future since that’s the way the world seems to be going.
I've been working on Betterleaks for the past three months. It's the successor to Gitleaks since I'm not focused on that project much anymore. I just released v1.2.0 which added GitHub as a source to scan for secrets against and a new filtering system powered by CEL for more expressiveness.
Just rolled out a big new update for my video cloud platform https://www.kollaborate.tv with a new player, side-by-side playback comparison and a big improvement in accessibility.
Currently we’re using AWS and Backblaze B2, but I’m formulating a plan to move to colocated servers. Not being billed per GB will open up a lot of new opportunities. Even at today’s server prices the math still adds up.
Well, all of a sudden, now that I kinda quit my gaming time sink, all my mini projects are finally being completed. All small, but useful, things for my setup that seem to slowly become a part of a bigger personal project. And between that kid and lots of books.
Ngl, it is weird for me now. If this is midlife crisis, I am loving it.
The same thing for 10 years and every couple years it gets reimagined while trying to get to the original goal of building a replacement for Google. It's called Micro.
Working on benchmark arena for AI agents with my wife.
We grab interesting business problems, turn them into fun challenges for hundreds of AI engineers to find the best architecture for. Insights are shared back with the community.
It is a fun learning process with unexpected scaling challenges.
A few days back, a book on FreeBSD Driver Development was posted here [0], and everyone assumed a) it's LLM slop and b) a terrible introduction to the topics covered.
I scanned a couple of chapters and realised it likely wasn't LLM generated, it just needed an edit. The intro to C is a hard and weird intro, but then driver development in FreeBSD is hard and weird and people who aren't prepared to get through such intros probably aren't going to get through the rest of it.
Being the contrarian, I've started going through it. I was involved on the periphery of the FreeBSD project ~25 years ago, went to conferences, ran a BSDUG in my hometown, and so on. And I realised I've missed systems programming and FreeBSD itself a little, and in recent years became a little sentimental.
What I've discovered so far in the first few chapters:
1. I miss FreeBSD. And it's weird my muscle memory kicks in and am surprised in a lovely way to find familiar things like /etc/rc.conf work the way I remember them.
2. This is not AI slop. There are issues that I can blame on him not using the same platforms I am (if you're on Apple Silicon, just use UTM and the aarch64 ISO - don't use the VirtualBox config he suggests, as an early example), but as somebody who sees a lot of AI generated content in my day job - this isn't it
3. I have got excited about coding again for the first time in a while.
So, this is my hobby for a while. Go back to where I started, get into low-level systems programming again, I have some ideas on some hardware I want to help out on... it's different to a lot of what I've been working on for the last decade or so, but that excites me.
Working on an idiosyncratic tool that lets users use AI to help write statements of work without losing the high bar for accuracy and consistency that these documents require. Right now, it's somewhere between Typst and Gemini in Google Docs, but not as good as either yet.
https://pockli.com - I've always needed a better workflow for managing the stream of documents people hand me — then expect me to pull out of a hat months or years later, like a magician.
- Built with Tauri — installer is small and start-up is
near-instant on all three OSes.
- No accounts, no telemetry, no MDX server in the loop. Sync goes through
whatever cloud folder you already have (iCloud / Drive / Dropbox / a plain
directory).
- Tab-to-accept ghost-writing is bring-your-own-key
- Exports to PDF, HTML, DOCX. Tables, math, diagrams, code blocks all live
behind toolbar buttons — no syntax to memorise.
In measuring how long can esp32 stream video over wifi using single 14500 battery (AA size but 3.7V lithium). So far it seems like 2h 8m is the limit. I'm using tps63020 buck-boost to 3.3V.
A reactive programming language for games! Properties signal when they change and you can register blocks that tell the engine how to use that property, not just once but every time it changes. It’s a more declarative way of making games which I think is lots more productive.
I’ve been working on this for four years, it’s been a big project!
I got into creating my own rings, and I’d really like to create one with ore I harvest myself. Gold is too hard and silver can be kinda dangerous, but malachite is pretty safe and I can just drive to Copperopolis to pick some up.
Basically: smelt the malachite with flux and charcoal to get pure copper, flow that into an ingot mold, hammer it into shape. Then I’ll have my own ring, with metal I collected with my own hands
Working on a Platform That hosts Open Source software & Gives users Enterprise-Level AI Assistants & Support to challenge Saas Software (Just a MVP right now!!)
I just hate the Saas Scene today - even a small productivity app is worth $10-$15 / month . When you couple that with a bunch of apps that you use , you spend hundred of dollars in hard-earned Cash .
The Open Source Community is Amazing on Some fronts , but then enterprise & non-technical users can't use them without a layer of Support , Hosting & Setup Assistance .
We want to be the delivery layer between the Current Open-Source Community & Saas users .
Got a lot of ideas to work on it , but decided to build out a small version right now and launch it !!
Right now I just germinated a 4x8 bed with flax for fiber. The plan is to grow it for 100 days or so and then harvest, dry, ret, dry, and spin. I need a lot more to do anything serious, but I think it’d be awesome to have a scarf that I made with linen I grew and harvested myself
A high-throughput multicast Bitcoin transaction distribution system (for the scaled BSV Blockchain variant), with a roadmap towards billions of transactions per second.
Features: - control channel for block header announcements, operational mechanisms, and network topology automation - separate channels for subtree, subtree grouping, and transaction load - transaction load sharding by deterministic multicast group membership based on TXID - transaction specialization filtering and retransmission both unicast and multicast, to connect edge networks only interested in a portion of the transaction load for whatever reason - NACK-based retransmission of missed packets via hash chain gap sequence tracking (per sender, per shard) with automated caching endpoint beacon discovery and tiered network distribution - BGP-AnyCast based transaction ingress
Basically all the topology pieces to scale the actual small-world network for Bitcoin miners or transaction processors; dense at the core, with layered and sharded group distribution towards users at the edges. Right now just site or org-scope multicast in planned, but provisions are being made to extend via MP-BGP eventually.
I started a new software defined automation project. I wanted something that I could just open a webpage and start writing code that could just be uploaded and ran instantly. I picked an ESP32-P4 for the first hardware. It’s MIT licensed and has a git repo that I put up this morning https://github.com/OpenPiLab/pilab-esp32-p4-plc
I can't really go into details of what I am working on. But I'd like to say that a lot of European corporations are running their stuff on Azure and are very much interested in having Data Lake(house) platforms tailor made to their business and IT requirements based on Databricks and their stack. I mention this because I find this mismatch of what I see being relevant in business and what is being upvoted on Hackernews quite interesting (for the lack of a better word).
I’m an application developer by day, but lately Claude Code and Codex have finally made microcontrollers approachable enough for me to start tinkering with them on the side. I built this little “holographic” display that shows the surf forecast for any beach. While my friend built the casing, and mechanical part of it
https://x.com/paulnovacovici/status/2041722840190480581?s=46...
I’m working on a project that blocks agents from breaking rules. The rules are enforced through hooks and work across Claude Code, Codex, and GitHub Copilot.
https://github.com/nizos/probity
I’m working on a ground-up implementation of RADIUS with everything running on stateless compute. It’s a beast with many problems to solve but I have EAP-TLS, TTLS and PEAP all working. I’d love to connect with folks interested in this kind of thing.
A timelapse platform powered by community photos. The idea is to place a mount and QR code at fixed viewpoints around the neighbourhood. People scan, photograph the view, optionally add their name, and submit. Over time, the platform stitches those shots into a living record of how the place changes with seasons.
Just finished the software side using a boring technology and am about to order the materials for the first few locations. Curious to explore photo alignment once real submissions start coming in. Stitching all slightly different angled photos into a smooth animation seems interesting.
Love the idea!
I’m building a small map application that allows me/friends/family to explore data overlays about morel mushrooms phenology and habitat (ground temp/moisture/terrain/aspect/tree species/etc). There’s some lightweight forecasting and timing models to help guess at near-term fruiting. I had a big push about a mouth ago to tighten things up, and initial experiences in the field this year have been very promising.
I’ll keep chipping away at it this year, and probably expand beyond morels to other seasonal natural phenomena that my people enjoy like smelt/salmon run, wildflower blooms, etc.
I do calisthenics 3×/week plus Ironman 70.3 prep, which means my training lives across Garmin, Polar, Withings + FIT files and front-lever sessions that no mainstream app models. So I built one that does both (and have been using for the past 4 years+): logs custom strength moves (front lever, FLAC, ¾ pull-ups), aggregates the connected devices (Polar, Garmin, Suunto, Withings, Apple Health) into one weekly view. Currently trying to see if can integrate some AI insights to my training routines. App is free for now as it does not cost me much (only servers for now), comment / use cases welcome: https://obitrain.com/
Why so many different devices? (Assuming this is the only reason there could be this much sprawl)
Device based strength tracking is still so weird to me.
Been working on and off on a Spotify recommendation egnine after getting tired of Spotify’s repetitive recommendations.
You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better, curated by you version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.
It works best if you follow a good amount of artists. Optionally you can get recommendations from artists that belong to playlists you follow or you've created. If you don't follow much or any artists, then you should enable that in order for the service to be useful, as right now that's the only pools of artists the recommendations are based on.
https://riffradar.org/
I am working on the Learnix operating system (https://gitHub.com/sagi21805/LearnixOS) Mainly an educational project, to understand and teach about OS and Rust concepts (The OS is written in Rust)
https://www.learnix-os.com
I'm building a chrome extension that scans everything you read and highlights text if it maps to a market on kalshi. On hover, a tooltip pops up allowing you to drop money on it.
Use this to doomscroll nba twitter and sports bet, or if you're feeling more highbrow, peruse the NYT and passively gamble on geopolitical events.
Try it out here: https://chromewebstore.google.com/detail/anywager/eebgbiogbb...
I'm building Deptheos (https://github.com/ryanmitts/deptheos), a photography/macro focus stacking program.
It works on MacOS, built with Swift and Metal. My goal is to make a super fast, and free, focus stacking program. I provided a notarized MacOS DMG for the initial release, but if built yourself, it will run on an M4/M5 series iPad Pro as well.
The core ability I wanted was to support RAW files as inputs, with DNG files as outputs. This is done using either LibRaw, or Adobe DNG Converter (runtime options).
I have been really into macro photography the last couple years, and have been slowly working on trying to build my own program to handle the focus stacking.
I’m working on a tiny terminal config / dotfiles / tool installation manager so I can keep everything in sync between my machines. Also includes profiles so I can tailor each machine how I see fit. https://github.com/phalt/pauldot
It’s intended just me for and follows a philosophy around hyper personal software that I’ve been developing: https://paulwrites.software/articles/hyps/
[NO-AI]
Being a weightlifter for 20+ years now, I'm working on a barbell speed and path tracking sensor based on newer IMU hardware technologies, which makes it both more precise and cheaper than camera- or actuator-based systems. Ultimately it helps you lift and train safer and better.
It's an intersection of industrial design, hardware, firmware, and software (and some sport science, of course). This intersection is not yet dominated by LLMs so it's a breath of fresh air.
In an early prototype stage as in "strap a Raspberry Pi to a bar", but it looks promising and I'm happy to move forward, also using connections from my previous 12+ years in China.
Wannabe powerlifter here of about 20 years as well. This sounds like an awesome project! Is bar-path the main metric for safety and "better" lifting? A project I had in mind, once upon a time, was an automatic "Form Check Friday" for myself using a Pi + Webcam.
this sounds awesome. have any videos of it?
After quite a few years of coming up with and implementing 'great ideas' but not being able to follow through to making them revenue generating products, I'm on my best bet so far.
I always wanted to build a real-life puzzle game, which is app/mobile assisted. Had yet another eureka moment, and built a usable prototype (backend plus iOS app). Good feedback from a small circle.
For a while I was aware of someone (I knew by sight) who worked in the same sort of subject matter (but a non-tech). I approached her, we had a coffee, I pitched the idea and how she could bring it to life, as I made the tech side. She jumped on board.
We're two and a half weeks in, have gone full speed and are making something great (for our audience). My future co-founder is amazing, great insights, opinions, drive. We're potentially launching in a couple of weeks, a free/MVP version of a puzzle game.
I've been through many iterations of trying to get something off the ground. Tried tech co-founders, and the last years of going solo (very hard after you've done the coding). But this now feels right. A puzzle app/game for every day people to have some fun. And a future co-founder whose life is outside tech, who's bring a sort of fun energy outwith let's make loads of money or isn't the framework/AI cool.
Balance is good. Contact with reality is good too :)
Still working on ghidra-delinker-extension, trying to wrap up the OMF object file exporter at the moment. Then I'd like to implement generation of debugging symbols (at least DWARF and CodeView, maybe STABS and CTF), although lately I've received a PR for PowerPC and an issue for delinking shared objects.
I'm also thinking about writing the Necronomicon of delinking at some point. The extension keeps spreading by word of mouth and there's only so much UX improvements I can do, for something that requires throwing everything you've learned in CS 101 into the trashcan before you can "get" it.
A non-profit to deconcentrate power over AI through better infrastructure for external auditing/oversight, and better infrastructure for local/federated inference/training https://openmined.org/
Also, we're hiring engineers and PMs (the eng position is about to be up). https://openmined.org/careers/#brxe-zgsziy
https://www.contextractor.com/ - Web content extraction tool to feed LLMs (but now rewriting it completely, so the published version is an alpha)
Wrote a Forth VM in C in about 1996 based on TCJ articles by Brag Rodriguez. Managed to get it to compile with modern GCC this morning and fix all the horrible issues with valgrind. Trying to adapt it to a context where it'll be usable for a spreadsheet-like system with reasonable decimal numeric precision. Consider it an RPL calculator with an Excel-like front end.
I'm working on a diffusion-powered UI design tool. My short term goal is to make AI-designed UI not look like Tailwind. My long-term goal is to be Figma, but powered by diffusion.
https://diffui.ai
I quit Figma about 4mo ago to start working on this, and the gpt-image-2 drop really legitized the bet. I recently release Brands for diffui, which let you establish a design system and consistently generate with it. I made a Brand out of the recent UFO files release, which allow for some really fun designs:
https://diffui.ai/brand/2ff1b00a-d698-43ea-a42e-7c4a2e670c04 (no account required to generate with this if you want to try)
Dealing with some rough stuff in life so I'm involved in random stuff to distract myself. Moved my personal blog to Astro. I wanted to scratch and itch I had about self hosting my comments. So I built a lightweight node-based opensource comment system called discuss - https://github.com/karthikeyankc/discuss.
A small, generic Go library for retrying fallible operations with exponential backoff and pluggable jitter strategies. https://github.com/nodivbyzero/try
From 50 to 5 seconds. The world's fastest and most up to date investment ai. It's powered directly through our database to ground the information and reduce hallucinations. Still in development though.
https://stockevents.app/ai
I'm working on app for walking based on the practice of walk, talk, meditate.
For now it's just for iOS but currently I'm working on porting to Android.
https://pilgrimapp.org/
I've been working on a AI app to replace Claude Desktop and Mobile for personal use.
The main goals are to own my data (memories, artifacts, chats), be able to switch AI providers at any point (if one is down or I want to try a new model), have the same experience between desktop and mobile especially when it comes to working remotely on code.
A bigger vision is to offer everyone a alternative to Claude and ChatGPT they can own just like OpenClaw but with a great app experience.
I hope to have the first beta published by the end of next week.
https://github.com/bgrgicak/Desk
also https://www.gluee.com/ - Text Styling for Social Networks, Slack, Teams etc...
NixOS VMs for agents: https://machine0.io
I'm working on GPS tools to help support my current contract. I've found there are no good tools for tracing a route on a map and having a mobile device think it's traveling that route. I'm not just talking GPS coordinates, but speed, direction, motion detection, precise timing between waypoints, being able to play these trips forward and backward, step by step, etc. I'm talking time-travel debugging for GPS applications.
It's early days. I'm not even sure it's possible.
AI basketball community, using computer vision to get highlights and stats http://ballers.gg
Been writing in my blog every day, reading more, created a poker equity calculator, and working on a city wide project where I document attractions, restaurants, and stays I've experienced in my city (very early stages).
Website: https://arkvis.com
Poker Equity Calculator: https://github.com/lodenrogue/poker-equity-calculator-web
Davao Explorer: https://github.com/lodenrogue/davao-explorer
Reading Summaries: https://github.com/lodenrogue/reading-summaries
I also created a couple of chrome extensions:
HN Dracula Dark Theme: https://github.com/lodenrogue/hackernews-dracula-theme-chrom...
Regex Search Chrome Extension: https://github.com/lodenrogue/regex-search-chrome-extension
Created a small command line util to get earthquake data in the Philippines:
Philquakes: https://github.com/lodenrogue/philquakes
I have been working for some time on a budget body/facial mocap solution with Unity. Mocap is hard, and what exists is locked behind subscriptions or is just very expensive.
With Unity I'm trying to bundle a bunch of different free, cheap or open source solutions together. For facial, that includes a custom converter from the output of Deadface (based on Mediapipe) with ARKit blendshapes, and also eye movement. For body it's a custom hook to SlimeVR that allows you to mocap with cheap-ish IMU-based DIY trackers, and all that on top of a custom made (not free but open source) physics rig solution that gives you accurate rigid body real time collision, saving on cleanup work.
It's being going really nice despite being an unusual workflow. Hope to release it as a plugin for a in-development sandbox game in the near future. Mocap and animation has been my passion long before i started with tech stuff, and finally I'm able to pursue it.
Retired so two projects; a 2D arcade board using a RP2350, and my 3rd sci-fi/techno-thriller novel: Currently approx 140,000 words into a 100,000 word novel and about 50% complete.
Still chugging along and curating https://hnarcade.com Submit your games!
https://emiplan.net/ - Doodle and Splitwise like alternatives for organising time with friends.
I'm a backend dev, frontend was made with AI.
I've been working on Mesaphore, an Excel-like spreadsheet app[0] backed by a Parquet-based file format. The premise is when Excel starts off as the starting point, then over time becomes a data exchange format between systems, and eventually becomes a bottleneck for the system. You still want to provide your users something Excel-like but also want to address the limits of Excel[1].
Majority of code (almost 70%) is generated by Gemini Pro and is extremely ugly. Due to a recent eye injury, I've not been able to code as much as I want, so I'm delegating many things to Gemini. Eventually, as my health improves, I plan to rewrite the entire thing.
[0]: https://codeberg.org/naiyer/mesaphore
[1]: https://support.microsoft.com/en-us/office/excel-specificati...
My own browser game. I created a browser game engine and building my first ever game with it. I can’t wait to launch it, I think it’s pretty cool. I’ve been working on it for 6 years!
The tech surrounding the game is awesome, the game and engine are fully deterministic, discrete (not float based), and bit-packed data structures throughout, powers of 2 everywhere for really fast operations, and logic and rendering are fully decoupled.
I wrote a simulator for the game and can simulate 10,000+ games in around 50 seconds on my MacBook M1 Pro. Purpose of the simulations is Monte Carlo method to tune my enemy AI (not LLM - conventional bots etc)
Greetings!
I've been working on something in the vein of a indie game for a little over a year now. It has been a passion project, but I'm starting to come around on showing it to people.
I am a big fan of Telltale style narrative games. I think Baldur's Gate 3 was the biggest revelation of this for me. Taking that branching dialogue and freedom of choice, and tacking it on to a fun combat system was just everything.
When text based GTRPGs started popping up, I found it hard to connect with them stylistically. I found that I needed the multimodal stimulus of visuals and audio. This led me to start building something, and it ended up being somewhat of a cross between a Telltale game, a Visual novel, and a TTRPG.
Orpheus (https://orpheus.gg) is a fully on-the-fly generated tabletop simulator, with graphics, audio (TTS), and the freedom you can usually only find at a real TTRPG table. That means you can play a sci-fi, fantasy, or even a modern setting in your campaign. The assets are made for you as needed. It runs in your browser so nothing to install or tinker with.
Getting the harness right so the AI GM can stay coherent and organized has been the biggest challenge. It took a lot of iterations to get it to a point where it could understand the scenes it was building as the player changed them.
I've built it to be played with either a keyboard or a gamepad so you can play from your couch. You can switch between them as you feel like it. There is a 3D tabletop for combat, full character sheets, dice rolling, lore tracking. I want it to be dense.
Mostly, I’m looking for people who want to try it, break it, and tell me what feels magical, confusing, boring, or broken. My biggest roadblock currently is that asset generation is relatively expensive. I'm currently mulling over whether a playtest would allow for a BYOK setup so people could try playing as much as they'd like, or if I should add turn limits.
You can join the playtest waitlist at https://orpheus.gg/ -- and I just setup a discord (https://discord.gg/pychWyzf) that I will use for early playtests. (Just me right now! Come hang out!)
I've been the DM of a weekly campaign with the same group of friends for nearly a decade now. Over the past few years, I’ve seen a lot of attempts at AI meets D&D, and most of them suffer from fairly pedestrian puzzles and stories, and don’t really compare to what a decent, semi-competent human writer can come up with.
I'd love to see a more modern day attempt at something like Bioware's Neverwinter Nights - which was designed so that someone could create a campaign, and then the game would provide the behavior, pathfinding, assets, and everything else with a virtual (or human) DM behind the scenes. You could still tell a human-driven story, but the engine would do a lot of the heavy lifting.
Super cool project and I love to encourage this as I personally think llms in games have not been utilized to their potential quite yet.
Why not generate some asset libraries to help with some of the rote generation? You could theoretically serve the same asset for a pack of rats to multiple campaigns.
Yes! I am doing a lot of this where it won't break the illusion. Not everyone needs a unique innkeeper generated in every town, but I want to avoid that "Officer Jenny" effect like in Pokemon where she looks the same in every town they visit.
I have a private vs public flag for assets that I'm considering more unique or sensitive, at the AI GM's discretion. I'm using embeddings from there to try and parse if an asset already exists in the public pool or not, and reuse it if possible. The thinking is that eventually I will have pretty decent asset coverage on most standard campaigns. I can't account for people going way off book though.
I have an asset pipeline that tries to determine player intent and pre-generate assets before they're needed. That way we can attempt to hide the "load screens" like retro games did with elevators. I have a kind of sliding scale for player coherency, and if the player has too many "misses" on the pre-generation pipeline it will increase its requirements for when it starts generating.
I may have wildly over-engineered this but I love it. =)
1) “AI harness plugin build system” to help improve reliability of and increase compatibility across the fragmented AI coding harness plugin ecosystem.
https://github.com/jondwillis/jacq
2) Claude code plugin based on some ideas found in https://www.anthropic.com/research/emotion-concepts-function The main idea is to add hooks that inject “baselines” under some conditions to counteract certain “emotions” that can cause subtle misaligned behavior in agents
https://github.com/jondwillis/functional-emotions
3) Final Fantasy XI custom client remaster in Bevy/Rust alongside an MCP integration that aims to allow agents to play autonomously on private servers à la “Claude plays Pokemon”
Contact: https://jonwillis.dev
i am working on an offline weights harness for non-technical people, writers mainly. it's designed to work forever but also be adaptable as more weights get released etc.
it enforces very few paradigms, runs in the browser, and allows users to view and edit agent config files within the UI.
it's kind of a nightmare to try to figure out how to do this appropriately, but it's an interesting challenge and i have seen very few (~0?) projects with an approach like this ...
all the offline harnesses are optimized towards coding, vs. general text manipulation aka "writing."
hoping to publish v0.1.0 by the end of may.
I am working on a task manager that’s way more informative and resource efficient than the windows task manager and works on Linux. It also provides an informative dashboard for docker containers and web servers with proxy support and preference for streaming sockets supporting http and web sockets over the same ports.
WSL support too? Could be cool with a unified thing, not sure if that's even possible though.
It’s just a node app written in TypeScript. The OS specific details come from running the right shell commands.
https://github.com/prettydiff/aphorio
I have been experimenting on using AI for hardware development. I showed some experiments on HN a couple of weeks ago (https://news.ycombinator.com/item?id=47801255). I am now trying to make my approach a little bit more comprehensive and structured, instead of several disjoint MCP servers, a single platform that connects lab instruments to AI assistants: https://teasel.tools/
As a demo, I repaired an old Philips PM5190 function generator (about 40 years old) and connected it to Claude Code. Lots of fun. Going to post a follow up video the next couple of days.
I'm building a CRDT replicated EAV graph store with reactive datalog optimized with a cascades query planner, and uses random walks during planning of the data on disk (assume NVMEs) for cardinality estimation. The idea is to provide a structured knowledge base that can quickly run queries on relatively small data (10m-100m facts) to an LLM, and teach the model to always do research within the knowledge base using powerful analytical queries wrapped in a pure functional language for formatting results (starlark in my case). Then, you would create adapters to sync data into the system, and the data instantly becomes discoverable by the LLM to help answer questions in a structured way. The LLM could also subscribe to queries and receive delta propogations as data changes to agentically react to updates.
The knowledge base is eventually consistent across computers so you could run ingestion into a knowledge base on your desktop, and just connect and replicate it to your laptop when it's online. I've been having a lot of fun learning about Cascades query planning, and it's given me an excuse to spelunk in the Data Fusion codebase (we're both writing query planners in Rust). It turns out Microsoft put together an incredible reference about this in 2024 [1], and one of the primary authors did an awesome talk about it on youtube [2], for those interested.
And yeah, it's all vibe-coded. I've gone through 8 PoCs for cardinality estimation and 3 query planners before arriving at my current design. The ability to try stuff, rip it out, try other things; has been incredible. I would have either given up or been stuck with my first or second attempt right now without an LLM to help me quickly prototype concepts
[1]: https://www.microsoft.com/en-us/research/wp-content/uploads/... [2]: https://www.youtube.com/watch?v=GQsoNdvFbuo
Salary explorer based on US job postings: https://corvi.careers/salary-explorer/
working on a voice first, interaktive universal audio guide. https://artsplain.com
A small launcher for Claude Code, to make switching between different providers and configurations easier:
https://ccode.kronis.dev/
For example, if I downgrade from Max to Pro I'd still be able to use the subscription, but also run sessions with other models (less expensive/local) as desired:
Source available, pre-built binaries on itch.io, pay-what-you-want with a minimum price of 0 USD, probably get it for free first if interested in taking a look.I finally got around to signing app for Mac, which is what this post originally was about: https://news.ycombinator.com/item?id=48075366 (the new versions will be out soon)
Also thinking that I might make it an Anthropic API --> OpenAI API proxy that allows talking to providers that don't support the Anthropic API directly, alongside allowing switching models dynamically during a session (Claude Code wouldn't even have to know about it, it'd just send requests to a local endpoint and the proxy would do the rest).
Early on, but Go is lovely to work with, mdBook is great for getting a site off the ground and I'm really surprised that more people don't use Itch.io for distributing software (or the pay-what-you-want model in general), it's dead simple!
https://aggly.com A beautifully opinionated news aggregator that reads rss, twitter, reddit, youtube, telegram & more
My wife and I continue to work on Uruky, a simpler and cheaper Kagi alternative, based in the EU [1].
Since last month we’ve stabilized the search UI/UX and have 5 search providers you can choose from and sort as you prefer.
We entered May with over 50 paying customers and have recently launched Uruky Site Search [2] (for website owners, this effectively is our own search index and crawler, which we’ll be bringing into Uruky soon as another search provider option)!
Customers really enjoy the simple UI (search doesn’t require JavaScript) and search personalization (from choosing the providers to the domain boosting and exclusion). We also have hashbangs (like "!g", "!d", or “!e”) when something doesn’t quite give you what you’d expect, though.
You can see the main differences between Kagi, DuckDuckGo, Ecosia, etc. and Uruky in the footer (right side), but one huge difference is that with Uruky, after being a paying customer for 12 months, you get a copy of the source code!
Our main challenge right now is outreach because we want to do it ethically, and it’s hard to find communities or places to sponsor which are privacy-focused and don’t require €5k+ deals. Ideas are welcome! We’ve been sponsoring a project per month (Qubes OS, The Tor Project, and Hister so far), with our limited budget of ~$100 / month.
Because of bots and abuse there isn’t a free trial easily available, but if you’re a human and you’d like to try it for a week for free, reach out with your account number and we’ll set that up!
Thanks.
[1] https://uruky.com
[2] https://uruky.com/site-search
Hey, I'm from the EU and love to see such a project!
One thing I can recommend right off the bat is Reddit - there's many privacy focused subreddits, and also you can share the whole project in EU related subreddits and e.g. r/SideProject.
Would love to try it for a week, this is my account number - 9772263817629091
Keep up the great work!
Thanks for the suggestion! We're trying to avoid anything that's social media (though Reddit is debatable), at least for now.
I've topped up that account number for a week, enjoy!
Buildermark calculates how much of your code is written by agents. Open source, local, and cross-platform (written in Go).
https://buildermark.dev
I'm learning about inference by running vLLM on a k8s cluster (EKS), building a gateway to keep a <2s TTFT SLO.
Most recent ha-ha moment: I kept wondering if it was normal that my cluster was only able to process 4 requests per second per vLLM engine (just seemed really low to me).
I realized a better metric is in-flight requests... Each engine is processing 70 requests at any given time, streaming tokens for over 30s.
Code: https://github.com/Nicolas-Richard/vllm-on-eks
Deeper dives into those uncover interesting limitations that don't seem to be documented anywhere. On the other hand, it is through those reverse shibboleths that I am now able to tell that my boss's boss has no idea what he is talking about llm-wise.
Still working on my SQL canvas: https://kavla.dev/
I started with this last summer. Usually I get tired of an idea, but this one is just an endless pit of things to try out.
Currently seeing how we can get an analytics agent working on the canvas. Video here: https://x.com/i/status/2053410747137266070
interesting idea!
Working on a bread recipe community where you can share and iterate on bread recipes. It's out of personal interest to be able to record my bread recipes and thought it might be interesting for others too.
However, I worked on it for the past ~5 years on and off (well, mostly off) and rewrote it too many times. Now finally close to releasing, bought a domain and setting up all the last remaining things.
Bought a TI dev board with c7x and c66 dsp cores. Have it doing PEQ and FIR room correction, along with tube amplifier emulation.
Will be trying to implement a virtual bass array next.
I'm making a surf forecasting site a la surfline.com, I started mostly to have an API to use for my tidbyt, but I figured I might as well make it a full thing and built my own features! It's on quickswell.com but it's only Socal at this time (fewer spots to compute)
An EU replacement for PagerDuty, focusing on the absolute basics - SSO as the minimum even on free, no AI driven workflows, overviews etc. but may include ML/AI driven insights in future since that’s the way the world seems to be going.
https://rotadeck.com/
Been slowly chipping away at my vehicle building browser game https://mechacraft.io. For those interested in following the progress I made a discord channel: https://discord.gg/bXH66ZDBKr
I've been working on Betterleaks for the past three months. It's the successor to Gitleaks since I'm not focused on that project much anymore. I just released v1.2.0 which added GitHub as a source to scan for secrets against and a new filtering system powered by CEL for more expressiveness.
https://betterleaks.com
Just rolled out a big new update for my video cloud platform https://www.kollaborate.tv with a new player, side-by-side playback comparison and a big improvement in accessibility.
Currently we’re using AWS and Backblaze B2, but I’m formulating a plan to move to colocated servers. Not being billed per GB will open up a lot of new opportunities. Even at today’s server prices the math still adds up.
Is it egress or storage that's the main cost driver?
FreeBSD 15.1. Released BETA2 on Friday, next Friday is BETA3 and the following week is scheduled to be a Release Candidate.
:D
Well, all of a sudden, now that I kinda quit my gaming time sink, all my mini projects are finally being completed. All small, but useful, things for my setup that seem to slowly become a part of a bigger personal project. And between that kid and lots of books.
Ngl, it is weird for me now. If this is midlife crisis, I am loving it.
The same thing for 10 years and every couple years it gets reimagined while trying to get to the original goal of building a replacement for Google. It's called Micro.
https://micro.mu
Working on benchmark arena for AI agents with my wife.
We grab interesting business problems, turn them into fun challenges for hundreds of AI engineers to find the best architecture for. Insights are shared back with the community.
It is a fun learning process with unexpected scaling challenges.
A few days back, a book on FreeBSD Driver Development was posted here [0], and everyone assumed a) it's LLM slop and b) a terrible introduction to the topics covered.
I scanned a couple of chapters and realised it likely wasn't LLM generated, it just needed an edit. The intro to C is a hard and weird intro, but then driver development in FreeBSD is hard and weird and people who aren't prepared to get through such intros probably aren't going to get through the rest of it.
Being the contrarian, I've started going through it. I was involved on the periphery of the FreeBSD project ~25 years ago, went to conferences, ran a BSDUG in my hometown, and so on. And I realised I've missed systems programming and FreeBSD itself a little, and in recent years became a little sentimental.
What I've discovered so far in the first few chapters:
1. I miss FreeBSD. And it's weird my muscle memory kicks in and am surprised in a lovely way to find familiar things like /etc/rc.conf work the way I remember them.
2. This is not AI slop. There are issues that I can blame on him not using the same platforms I am (if you're on Apple Silicon, just use UTM and the aarch64 ISO - don't use the VirtualBox config he suggests, as an early example), but as somebody who sees a lot of AI generated content in my day job - this isn't it
3. I have got excited about coding again for the first time in a while.
So, this is my hobby for a while. Go back to where I started, get into low-level systems programming again, I have some ideas on some hardware I want to help out on... it's different to a lot of what I've been working on for the last decade or so, but that excites me.
[0] https://news.ycombinator.com/item?id=47915632
Working on an idiosyncratic tool that lets users use AI to help write statements of work without losing the high bar for accuracy and consistency that these documents require. Right now, it's somewhere between Typst and Gemini in Google Docs, but not as good as either yet.
https://pockli.com - I've always needed a better workflow for managing the stream of documents people hand me — then expect me to pull out of a hat months or years later, like a magician.
Working on a md file eidtor for average users to use, by click buttons like MS word.
https://hellomdx.com/
- Built with Tauri — installer is small and start-up is near-instant on all three OSes. - No accounts, no telemetry, no MDX server in the loop. Sync goes through whatever cloud folder you already have (iCloud / Drive / Dropbox / a plain directory). - Tab-to-accept ghost-writing is bring-your-own-key
- Exports to PDF, HTML, DOCX. Tables, math, diagrams, code blocks all live behind toolbar buttons — no syntax to memorise.
Hope to have some people like it and use it.
Any plans to support mobile as well? I'm lookimg to replace OmniNotes on Android.
A correlation network viz (using Cytoscape.js) of this S&P 500 and NASDAQ-100 correlation matrix (built with Svelte):
https://cybernetic.dev/matrix
In measuring how long can esp32 stream video over wifi using single 14500 battery (AA size but 3.7V lithium). So far it seems like 2h 8m is the limit. I'm using tps63020 buck-boost to 3.3V.
Wouldn't wifi settings (antenna, Tx power, freq, bw, encryption, etc) be the bigger driver here?
I don't know.
https://easel,games
A reactive programming language for games! Properties signal when they change and you can register blocks that tell the engine how to use that property, not just once but every time it changes. It’s a more declarative way of making games which I think is lots more productive.
I’ve been working on this for four years, it’s been a big project!
Decided to cancel my personal Miro subscription, so vibe-coding* a diagram/vector graphics tool with UX I would enjoy rather than tolerate.
* assisted coding, not full code generation
Currently building my own rss reader because I wanted one that runs in the terminal, but all the ones I could find were in Rust
I’m smelting ore!
I got into creating my own rings, and I’d really like to create one with ore I harvest myself. Gold is too hard and silver can be kinda dangerous, but malachite is pretty safe and I can just drive to Copperopolis to pick some up.
Basically: smelt the malachite with flux and charcoal to get pure copper, flow that into an ingot mold, hammer it into shape. Then I’ll have my own ring, with metal I collected with my own hands
Most fun thing is a few vibecoded games. A rtwp rpg like bg2 and an active turn-based grid crawl rpg.
Bg2-like is playable at https://archipelago-sandy.vercel.app
Writing detailed and a bit math heavy blog post about specular microfacet-based BRDFs.
Working on a framework for factory management systems.
Working on a Platform That hosts Open Source software & Gives users Enterprise-Level AI Assistants & Support to challenge Saas Software (Just a MVP right now!!)
I just hate the Saas Scene today - even a small productivity app is worth $10-$15 / month . When you couple that with a bunch of apps that you use , you spend hundred of dollars in hard-earned Cash .
The Open Source Community is Amazing on Some fronts , but then enterprise & non-technical users can't use them without a layer of Support , Hosting & Setup Assistance .
We want to be the delivery layer between the Current Open-Source Community & Saas users .
Got a lot of ideas to work on it , but decided to build out a small version right now and launch it !!
Working on a native non JS Http client similar to Insomnia.
Playing Doom.
Another thing I’m working on: homemade linen.
Right now I just germinated a 4x8 bed with flax for fiber. The plan is to grow it for 100 days or so and then harvest, dry, ret, dry, and spin. I need a lot more to do anything serious, but I think it’d be awesome to have a scarf that I made with linen I grew and harvested myself