QueryTrace Audit
Can AI crawlers read your site?
What it does
Before you worry about whether AI models recommend you, check whether they can read your site at all. QueryTrace Audit checks your robots.txt, llms.txt, and sitemap, tests whether GPTBot and ClaudeBot can reach your homepage, and asks Gemini what it already knows about your company with no browsing turned on. Every finding is ranked by priority with the evidence behind it. Free, no signup.
Check whether AI crawlers can actually read your site, and what Gemini already knows about your company cold. Free, no signup.
We check crawler access, your declared files, structured data, and what Gemini already knows about you. Free, no signup required. We check your robots.txt, llms.txt, and sitemap, then fetch your homepage the way a normal visitor and an AI bot each would. One question, no browsing or search: what does it already know about your company. That tells you what it has to work with today. Every finding is ranked by priority, with the evidence behind it. No guesswork, no vague scores. Five things: whether AI crawlers like GPTBot and ClaudeBot can reach your homepage, whether you publish robots.txt, llms.txt, and a sitemap, whether your homepage has real readable text or relies on JavaScript, what…from querytrace.co
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AI Crawler Readiness Checker17d ago · aicrwalerreadinesschecker.bolt.host · ▲2See what AI crawlers actually see on your site
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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.
AI · 17d ago · simedw.com
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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…
AI · 26d ago · cactuscompute.com


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