Fast-dj
An enterprise-grade boilerplate to ship AI SaaS fast ⚡
What it does
Fast-dj is a professional-grade boilerplate designed to get a production-ready MVP in days. Is architected for the modern AI era: - AI-Native Multi-tenancy: Ready-to-use organization structures and RBAC. - Hybrid Billing: Integrate Stripe for global users and Mercado Pago for LATAM market. - The Powerhouse Stack: The reliability of Django and the speed of Next.js. - Built-in Observability: Integrated with Django Orbit. - Ready for Scale: Auto setup, SEO optimization, & more.
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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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