KinetixSEO
Find. Fix. Verify. Zero guesswork.
What it does
Get tailored, page-specific fixes. Every finding coes with the actual fix — copy-paste text or a code sippet grounded in your page's own evidence, not geneic advice. Where a fix needs a business fact or a deeloper, we mark it needs-input instead of inventing t.
Track when AI assistants recommend your brand or competitors. Understand visibility gaps, improve pages and verify the result.
Track the questions your market asks. See whether ChatGPT, Gemini, Claude and Perplexity select your brand, who outranks you, and what to improve next. Real KinetixSEO dashboard — AI visibility measured across tracked prompts. AI answers move as models, sources and competitors change. KinetixSEO gives you a repeatable loop, not another report that gathers dust. AI visibility is not one score. Being reachable by an assistant, being structured so it can quote you, actually being cited, and ranking in conventional search are four different problems, and fixing the wrong one moves nothing. KinetixSEO measures them separately so you can tell which one is yours. Monitor the questions that matter…from kinetixseo.com
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Launched alongside, August 2026
the whole month →- TL
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 · 17d ago · simedw.com