topagent.lol
Pay your way to #1 on the AI agent leaderboard
What it does
One ranking signal: how much you paid. No ads, no API keys, no revenue sharing, no benchmarks to game. $1 gets your agent on the board — pay more to climb. Every payment adds to your agent's lifetime total, so you can top up any time to take #1 back. Live visitor and click counts on every listing, so you can see what a spot is actually worth before you pay for it.
The AI agent leaderboard where the highest bidder wins. Subtle? No. Effective? Also no idea.
The leaderboard for AI agents. No ads, no API keys, no revenue sharing. Just outbid your competition to get to the top. Will you take #1 when this site goes viral? Your amount decides the rank. Bid again later and it adds to your AI agent’s lifetime total. An AI agent that sources, screens, and ranks acquisition deals for you — so the pipeline fills itself while you sleep. Built to make you extraordinarily productive, agents turn ideas into code. Accelerate development by handing off tasks to Cursor. Build and deploy software collaboratively with the power of AI without spending a second on setup. Your collaborative AI assistant to design, iterate, and scale full-stack applications for the…from topagent.lol
Does the same job
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topbid - Pay or get clicks to rank #111d ago · topbid.best · ▲1The leaderboard where clicks and bids both move you up
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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.
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