Pondral
See what ChatGPT says when buyers ask about your brand
What it does
Track your brand's visibility across ChatGPT, Claude, Gemini, Perplexity, and Grok. Free AI visibility score with actionable recommendations to improve how AI engines cite and recommend your business.
AI Visibility is whether ChatGPT, Claude, Gemini, Perplexity, and Grok name your brand when customers ask them for recommendations. Pondral checks yours in about a minute, flags the gaps worth closing, and writes the briefs to fix them. Every score links to the exact AI answer behind it, so you can check our numbers yourself. Built for B2B marketing teams, and the agencies running AI visibility for their clients. See where AI mentions you and where it doesn't, and track how it changes. Know exactly which AI assistants mention your brand, what they say, and how you stack up across ChatGPT, Claude, Gemini, Perplexity, and Grok. Find the questions where competitors get cited and you don't.…from pondral.com
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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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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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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