
HurryMind
Discover and Validate SaaS ideas based on real pain points.
What it does
Hurrymind finds real problems from real conversations across Reddit, X, HackerNews and Product Hunt. It extracts pain points, classifies them into ideas, and filters out the noise so only the best ones reach you. On top of that you can run a detailed market analysis and generate a prompt that builds 90% of your MVP. I went from idea to almost a full MVP in about 75 minutes which is pretty crazy.
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Find validated SaaS ideas from real developer pain — daily
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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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