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Get cited, not just crawled.
What it does
Refine AI shows you exactly when, where and how 6 AI platforms: ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok mention your brand. Track visibility, position and sentiment vs. competitors, spot the prompts you're missing, and publish content that gets you cited. Free 14-day trial.
See exactly when and how AI platforms mention your brand. Refine AI monitors ChatGPT, Gemini, Perplexity and 3 others in real time. Visibility, sentiment, position tracking — free 14-day trial.
Track your brand across ChatGPT, Gemini and Perplexity — and publish content that gets you cited. First results in 24 hours. Refine now ships its own MCP server. Plug it into Claude, Cursor or any MCP client, and your AI assistant tracks your visibility, manages your prompts and generates optimized content for you — straight from the chat. $ claude mcp add --transport http refine \ https://app.refine-app.com/api/mcp/mcp \ --header "Authorization: Bearer rfn_live_your_key" Works with Claude Desktop, Claude Code, Cursor and any MCP client that supports Streamable HTTP. Marketing, SEO, brand or agency — Refine adapts to how your team works with AI search. You run the company, the product, the…from getrefine.ai
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AI Engage: Train AI Search EnginesDec 2025 · ▲35Get Cited in Google AI search, ChatGPT, Perplexity & Copilot
More growth this month
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com

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