Motions
The fastest way to build around the camera
What it does
The fastest way to build products that use the camera as the interface. Type what you want, the product appears, runs in any browser. Build viral games, face filters, AR experiences, body-tracking apps, real-time effects, and whatever else you can imagine. No code. No engineering team. No platform lock-in. The camera is the next universal interface. Be the one who builds for it.
Autonomous growth for any consumer vertical.
Distribution can be automated. But a system that runs on products it does not own learns nothing it keeps, and improves for someone else. We build the roads and everything on them. Every application we launch makes the system better, and a better system makes the next one easier. That loop only exists when both sides are yours. Today the system runs only on applications we own. Soon it will be open to everyone. Products are built in weeks now and die in months, bound not by what they can do but by whether anyone wanted them in the first place. Every technology cycle produces companies built on something that did not exist three years ago. Human desire predates software, it will outlast it,…from motions.build
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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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