Bunzee 3.0
Idea → IA → wireframes → design → build via MCP
What it does
AI can't build your app right without context—it's just guessing the next token. Bunzee gives it the full picture: it analyzes your idea against real competitors and market data, then breaks everything into structured specs—PRD, IA, wireframes, and designs you can shape from 250+ global app styles. Each step feeds the next, and every one is grounded in objective data, not opinion. Then it all pipes to your AI coding tool over MCP, so your AI builds from real context, not vibes.
From idea validation to working prototype — AI builds it for you. Generate PRD, IA, wireframes, and 250+ design style prototypes. Connect to Claude, Cursor, Windsurf via MCP.
Choose from 250+ design styles to transform into a working prototype. AI automatically analyzes real pain points from Reddit, Hacker News, and global communities. Discover business opportunities backed by data. Search competitors from our 200K+ service database and instantly check real traffic, revenue, and growth data. Just enter afrom bunzee.ai
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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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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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.
AI · 17d ago · simedw.com