TruIntel
Analytics built for AI Search
What it does
Google isn't the only place people search anymore. They're asking ChatGPT, Gemini, Claude, and Perplexity instead. TruIntel shows how your brand appears across AI search, where competitors are getting cited, and what you need to improve. Find visibility gaps, uncover what's holding you back, and fix many of those issues in just one click so your brand is easier for AI to find, understand, and recommend.
Track ChatGPT, Perplexity, Gemini, Claude & Google AI with TruIntel. Improve brand visibility with AI search monitoring and SEO tool.
TruIntel helps brands become the answer inside ChatGPT, Gemini, Google AI Overview and Perplexity. Track, analyze, and optimize your presence across every major AI platform in one place. Track your brand visibility across AI search engines and AI-generated answers. Monitor AI search visibility, AI Overviews, and brand mentions across ChatGPT, Google AI Overviews, Gemini, Perplexity, and Claude with a powerful AI search visibility tracker. Discover what your competitors are ranking for, where they outperform you, and how to close the gap with actionable insights. TruIntel AI CMS helps you create, optimize, and publish high-quality SEO content at scale — without manual effort. From content…from truintel.ai
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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
- SA
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