
Tabby Picks
The best shots from your camera roll, picked on-device
What it does
After every trip I had hundreds of near-identical photos and could never pick the few worth sharing. Tabby Picks does it for you — 100% on-device. More than a de-duper: it weighs sharpness, exposure and composition, groups bursts & look-alikes and keeps the best of each, and sets blurry/over/under-exposed shots aside, with a reason. Built on Apple Vision + a Core ML model I trained for night shots. No upload, no account, works in Airplane Mode. Never deletes your originals — you decide. Free.
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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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Search 18 years of Hacker News and chart how any topic, tool, or person trended. Overlay terms to compare their rise and fall across 45M posts and comments.
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