AI Search Ready
Audit your site for AI search visibility in 10 checks
What it does
Run a free 10-point audit for ChatGPT Search and Google visibility. See crawl access, indexing signals, content clarity, and prioritized fixes.
Run a clear 10-point audit for ChatGPT Search and Google. Find the technical issues worth fixing first—without hype or ranking promises. Used only to run this audit. The URL and fetched content are not written to the app database; one anonymous completion event is counted. See the methodology. We keep the United States as the high-demand benchmark and test New Zealand as a smaller, English-first market with a lower-competition hypothesis. These are launch tracks, not physical offices. Large addressable market and strong demand, with intense competition from established SEO and AI-visibility providers. English-first testing for a smaller SME market where awareness is high and practical AI…from ai-search-ready-audit.yuuseiurusima1205.chatgpt.site
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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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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