Brake Point
Your AI race engineer. Analyze telemetry, improve on track.
What it does
Brake Point turns raw telemetry data into actionable coaching. Upload your AiM, MoTeC, or RaceLogic files — BudAI, your AI race engineer, tells you exactly where to brake later, carry more speed, and shave seconds. Progression tracking across sessions shows you're actually improving. No race engineer salary required.
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I made SABR - an AI model that helps you visualize the beta/technique on any route, based on your body parameters. You can input a video of you climbing any route, in any orientation or lighting condition (it's truly versatile!). SABR then creates a virtual avatar of your body shape and uses it to climb the route you're climbing. Then, you can compare/contrast. You can see the demo here: https://www.youtube.com/watch?v=cnvNPWoYZz4 Will be open sourcing the model, backend, and frontend codebase soon!
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Hi I'm Dan from Elodin, making an open source real-time capable flight software simulation. For AI Grand Prix contestants, the wait for the Round 1 virtual qualifier simulation has been grueling. If you’re competing, check out our simulation harness to tide you over, built to match the published competition constraints and message format. It runs against real Betaflight, which we learned requires at least 1000 sensor samples per second to run real-time correctly. The competition warranted introducing a new feature to generate the camera sensor directly in the simulation loop. Typically…
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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…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
