Velra
Building full SaaS products with a single prompt.
What it does
Most AI app builders stop at a frontend mockup you still have to wire up, host, and babysit. Velra generates a real, full-stack app — frontend, database, auth, and backend logic — then deploys it live on a real, shareable URL. What stands out: • Real backend, not a prototype — working database, auth, and server logic • Edit in plain English — just describe the change and Velra rebuilds • You own it — your app, your data, yours to keep and grow
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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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Launched alongside, June 2026
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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