HyperCode
Your AI CTO. One command, hours of autonomous work.
What it does
Your AI CTO. Give HyperCode one command and it works for hours — decomposing tasks, coding in parallel, writing tests, shipping working code. Checkpoint recovery means crashes never restart from zero, and its memory grows smarter with your projects. 229 built-in domain skills (finance, legal, academic, PE) trigger from plain Chinese or English. No VPN, one-click install, DeepSeek built in, BYOK free tier.
AwareLiquid: bio-inspired edge AI models. Attention-free O-Series carries a fixed 0.381 MB state at any context length (8,063× smaller than a KV-cache at 1M tokens) and runs CPU-only on-device. Lightweight deployment, honest open research.
AwareLiquid is a bio-inspired cognitive AI framework. The attention-free O-Series carries a fixed-size state instead of a growing KV-cache — 0.381 MB at any context length, running CPU-only. Built for lightweight edge deployment, not for the data center. Give it one clear instruction and it works for hours until everything is done. 228+ built-in domain skills across finance, law, academia and private equity. No VPN, no setup — one-click install on Windows and macOS. Two distinct surfaces. Science Q&A grounds answers in a 1,000+ item sourced knowledge base (papers with DOIs and citation counts) — it answers only what the sources support, and says so honestly when they don't. M1-128M is the…from awareliquid.ai
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Deep Work PlanJun 2026 · deepworkplan.com · ▲114Models matter. Context matters more. Give your agent a plan.




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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