Outbid.to
The pay-to-win launch leaderboard
What it does
outbid.to is a transparent pay-to-win leaderboard for products and websites. Submit your link, place a whole-dollar bid starting at $2, and rank wherever your bid lands. The highest bidder takes #1. If someone outbids you, your listing moves down but stays live. No judges, approval queues, coordinated upvotes, or hidden ranking algorithm. Every listing tracks outbound clicks so you can see what your placement delivers.
The internet’s most competitive leaderboard. Pay once. Rank instantly.
One public leaderboard. Your bid determines your rank, and your site stays listed until someone outbids you. Best Online Crypto Casino. Fast Deposits and Withdrawal. Best Selection of Games and VIP benefits! TankoVault is a manga collection tracker built for English-language collectors. Track the volumes you own, discover upcoming releases, manage your collection, and connect with other manga fans. Your amount decides the rank. Paying less still puts you on the board at the highest place your bid can take. TankoVault is a manga collection tracker built for English-language collectors. Track the volumes you own, discover upcoming releases, manage your collection, and connect with other manga…from outbid.to
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DailyOutbid.lol14d ago · dailyoutbid.lol · ▲12Another outbid.lol copycat, but leaderboard resets EVERY 24h

More growth this month
the category →
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