AuditSpark
Website Intelligence for the AI Search Era.
What it does
AuditSpark is website intelligence for the AI search era. Audit your site across traditional SEO, AEO, GEO, AI visibility, UX, trust, and more, then see exactly where you stand with search engines and AI answer engines like ChatGPT, Claude, Gemini, Perplexity, Copilot, and Google AI Overviews. Get prioritized recommendations and a practical action plan for what to fix first.
50% off your first 3 months of AuditSpark Freelance or Agency. Website audits plus AI-visibility scoring across six answer engines. First 25 subscribers, through 30 September. Cancel anytime.
AuditSpark scores your website across 15 categories — and now measures whether ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity and Google AI Overviews actually find and cite you — all six answer engines, on every report. We just launched, and you're exactly who we built this for. Your email gets you a code for 50% off your first 3 months of Freelance or Agency. Cancel anytime. Enter your code in the promo field at checkout. Half price for your first 3 months, then the standard rate — cancel anytime. 25 credits a month, saved audit history, and a client-ready PDF on every report — plus AI-Visibility runs that measure whether ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity and…from auditspark.io
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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 · 16d ago · simedw.com
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AI · 18d ago · company-app.joinastute.com
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 · 16d ago · simedw.com