OpenApp
Build React Native apps with AI, locally
What it does
OpenApp is an open-source, local AI workspace for building React Native apps on your Mac. Describe what you want, generate and iterate with AI, preview the result, shape the UI and keep the real project on your computer. Bring your own AI provider and API key — your apps, your code, your machine.
Build real React Native apps with AI, locally on your Mac, while keeping ownership of your code.
Turn an idea into a real mobile app. Design, generate and preview everything directly on your device. Describe features, screens or changes. OpenApp works directly on your project. Add a calendar view and keep the interface clean and minimal. Shape the interface without losing control of the underlying project. Generate a new style and watch every component adopt it instantly. OpenApp generates a real React Native project stored on your computer. Every file is yours — open it in your favorite code editor anytime. Start free with your own provider, or let OpenApp manage the AI access with a budget you control. Build locally with the AI provider and API key you already use. The exact fee can…from openapp.fun
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, August 2026
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com