LifesOS
Your AI operating system for everyday life
What it does
LifesOS brings your finances, schedule, nutrition, activity and life journey into one AI-powered system. Log everyday life naturally, understand your patterns, and get personalized reports and insights from one place.
LifesOS helps you manage finances, schedules, nutrition, activity and personal insights in one AI-powered workspace.
Start with one disciplined day. Log money, meals and time in plain words. LifesOS keeps the streak. First 50 web users get 50% off the first year with code FIRST50 . LifesOS is an AI-powered personal operating system — one workspace to track money, plan your time, log nutrition and activity, reflect on goals, and review your week with clarity. The current LifesOS product interface for English-speaking users. Money sits in one place. Calendar events in another. Meals, workouts, and the moments worth remembering rarely connect. Your daily inputs become a connected personal workspace organized by domain and turned into useful patterns. Each area stays focused, while Home and Insights bring the…from lifesosapp.com
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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.
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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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Life & fun · 10d ago · louisabraham.github.io


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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.
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