
ChatGPT Ad Library
See every ad running inside ChatGPT
What it does
The first public library of sponsored ads running inside ChatGPT: 11,103 advertisers, 415,289 ad placements, and 43,410 unique creatives across 970 niches each linked to the exact prompt that triggered it. Spy on Competitors ads and optimise your CTR.
A live, public database of the sponsored cards showing up inside ChatGPT. Browse every advertiser, creative, and trigger prompt across any vertical.
Monitor market performance, track competitor benchmarks, and make data-driven business decisions. A live, public database of the sponsored cards showing up inside ChatGPT. Browse every advertiser, creative, and trigger prompt across any vertical. Platforms that track and optimize a brand's citations, mentions, and visibility in AI answer engines like ChatGPT, Perplexity, and Gemini (AEO/GEO). Software platforms used by corporate treasurers and CFOs to manage cash positioning, liquidity, FX exposure, short-term investing, bank connectivity, and payments across multi-entity, multi-currency organizations. Buyers are treasury, FP&A, and finance-ops teams at mid-market and enterprise companies…from chatgptadlibrary.com
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100 ChatGPT Audience Building Prompts2023 · ▲155Collection of ChatGPT prompts to help you build an audience


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