AIpilot
AI That Runs Your Company While You Sleep
What it does
AI Pilot gives founders an AI team built to execute, not just assist. Instead of juggling separate AI tools for coding, marketing, sales, research, and operations, founders can delegate real business tasks to specialized AI agents from one place. AI Pilot connects these capabilities into an always-on team that works toward your company’s goals—helping founders move from idea to execution faster, with less hiring and overhead.
AIpilot turns your idea into a business and helps you build, launch, and operate it continuously.
AIpilot turns your idea into a business, builds and launches the product, researches the market, finds and reaches customers, runs marketing and sales, handles support and operations, tracks performance, and continuously improves the company by handling day-to-day operations, tracking performance, and continuously improving the business — so you can focus on the vision, strategy, and decisions that only a founder can make. You set the vision; AIpilot does the work. You have an idea worth testing. But turning that idea into a real business requires you to become five different people at once: The result? Your idea stays stuck in the gap between “I should build this” and “I have a real…from aipilot-mauve.vercel.app
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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 · 16d ago · simedw.com