Makersfuel
Practice vibe coding on real full-stack projects
What it does
Makersfuel is a project-based learning platform for vibe coders. Instead of random tutorials, you pick complete full-stack projects (ChatGPT, Twitter, Gmail, etc.) and follow a clear step-by-step playbook with detailed build breakdowns from setup → deployment, battle-tested AI prompts for each step and guidance on writing PRDs and specs. The goal: help you actually learn what it takes to ship a real app end-to-end.
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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 · 26d ago · cactuscompute.com
Launched alongside, November 2025
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