CrawlReady AI
Get found in AI-assisted search
What it does
CrawlReady scans your local business site, measures how often AI assistants cite it, and provides actionable fixes.
Auditez la visibilité SEO et IA de votre site : bugs invisibles (FAQ cachées, métas faibles, JS non lisible) détectés et corrigés avec des prompts.
CrawlReady AI scanne votre site web, repère les signaux manquants pour les moteurs de recherche et les IA génératives (ChatGPT, Perplexity, Claude, Gemini), et vous livre les corrections précises à appliquer dans Lovable, Webflow, Replit, WordPress ou Shopify. CrawlReady AI est un outil d'audit qui mesure la visibilité de votre site sur Google et sur les moteurs d'IA (ChatGPT, Perplexity, Claude, Gemini). Il détecte les bugs techniques invisibles et fournit des prompts de correction prêts à coller. Oui. CrawlReady évalue l'accessibilité de votre site aux robots d'IA, la présence de données structurées et les signaux de citation pour maximiser vos chances d'être cité dans les réponses…from crawlready.eu
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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…
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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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