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Show HN: Matrix OS, like Lovable, but for personal apps https://ift.tt/D6fht4y

Show HN: Matrix OS, like Lovable, but for personal apps hey hn, i built matrix os, a personal ai operating system that generates custom software from natural language. you get your own cloud instance at matrix-os.com. you describe what you want ("build me an expense tracker with categories") and it appears on your desktop as a real app saved as a file. tech stack: node.js, typescript, claude agent sdk as the kernel, next.js frontend, hono gateway, sqlite/drizzle. everything is a file, apps, data, settings, ai memory. git-versioned. what makes it different from chatgpt/claude artifacts: - persistent memory that learns your preferences across sessions - apps are real files you own, not ephemeral chat outputs - runs 24/7 in the cloud, not just when you have a tab open - accessible from web, telegram, whatsapp, discord, slack - open source, self-hostable came out of placing top 20 at anthropic's claude code hackathon. been building it full-time since. 2,800+ tests, 100k+ line...
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Show HN: RiceVM – A Dis virtual machine and Limbo compiler in Rust https://ift.tt/lXurBw6

Show HN: RiceVM – A Dis virtual machine and Limbo compiler in Rust Hi, I've made a Dis virtual machine and Limbo programming language compiler (called RiceVM) in Rust. It can run Dis bytecode (for example, Inferno OS applications), compile Limbo programs, and includes a fairly complete runtime with garbage collection, concurrency features, and many of the standard modules from Inferno OS's original implementation. The project is still in an early stage, but if you're interested in learning more about RiceVM or trying it out, you can check out the links below: Project's GitHub repo: https://ift.tt/FxnfJj2 RiceVM documentation: https://habedi.github.io/ricevm/ April 3, 2026 at 01:19AM
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Show HN: Mac-hardware toys, control your Mac's hardware like a modular synth https://ift.tt/Wp7Tw9y

Show HN: Mac-hardware toys, control your Mac's hardware like a modular synth https://ift.tt/a3RsbK0 April 2, 2026 at 11:12PM
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Show HN: Local RAG on 25 Years of Teletext News https://ift.tt/nZqJ5I3

Show HN: Local RAG on 25 Years of Teletext News A fully local Retrieval-Augmented Generation (RAG) implementation for querying 25 years of Swiss Teletext news (~500k articles in German language) — no APIs, no data leaving your machine. Why? I thought it's a cool type of dataset (short/high density news summaries) to test some local RAG approaches. https://ift.tt/QIWNzVh April 2, 2026 at 01:24AM
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Show HN: Canon PIXMA G3010 macOS driver, reverse-engineered with Claude https://ift.tt/CH1sgnv

Show HN: Canon PIXMA G3010 macOS driver, reverse-engineered with Claude Canon doesn't provide a working macOS driver for the PIXMA G3010. I was stuck using Canon's iPhone app for all printing and scanning. I pointed Claude Code at a packet capture from the iPhone app and it reverse-engineered Canon's proprietary CHMP protocol, wrote a pure Rust eSCL-to-CHMP bridge daemon, and built a .pkg installer. My role was the physical parts: capturing packets, testing on the printer, confirming Image Capture worked. The protocol docs in docs/ are probably the first public documentation of Canon's CHMP protocol. https://ift.tt/xwOpiDG April 1, 2026 at 11:58PM
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Show HN: Flight-Viz – 10K flights on a 3D globe in 3.5MB of Rust+WASM https://ift.tt/xtMh3n1

Show HN: Flight-Viz – 10K flights on a 3D globe in 3.5MB of Rust+WASM I built a real-time flight tracker that renders 10,000+ aircraft on an interactive 3D globe, entirely in the browser using Rust compiled to WebAssembly. https://flight-viz.com April 1, 2026 at 11:04PM
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Show HN: PhAIL – Real-robot benchmark for AI models https://ift.tt/BcHAMUw

Show HN: PhAIL – Real-robot benchmark for AI models I built this because I couldn't find honest numbers on how well VLA models [1] actually work on commercial tasks. I come from search ranking at Google where you measure everything, and in robotics nobody seemed to know. PhAIL runs four models (OpenPI/pi0.5, GR00T, ACT, SmolVLA) on bin-to-bin order picking – one of the most common warehouse operations. Same robot (Franka FR3), same objects, hundreds of blind runs. The operator doesn't know which model is running. Best model: 64 UPH. Human teleoperating the same robot: 330. Human by hand: 1,300+. Everything is public – every run with synced video and telemetry, the fine-tuning dataset, training scripts. The leaderboard is open for submissions. Happy to answer questions about methodology, the models, or what we observed. [1] Vision-Language-Action: https://ift.tt/XUpPNT0 https://phail.ai March 31, 2026 at 09:55PM
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