Don't Press The Button
Buy the button. Your site is shown until someone pays more.
What it does
A one-slot Million Dollar Homepage. Pay to take the button, put your link on it, hold it until someone outbids you. Watching is free. Live takeover, not a leaderboard.
One person owns the button. Put your website in front of every curious human who comes here. Pay more and steal the spotlight. Entertainment only. 18+.
Put your website in front of every curious human who comes here. Pay more than the current owner and steal the spotlight. Next person pays $4 . Every takeover makes the button more expensive. $4 to take it. Someone can take it at any moment. There is no countdown. Current owner: @ darshanpanchasara . Their site is getting the attention. You could take it. Every person who visits this page sees your website. Until someone pays more and takes it from you. Current price: $4 . Someone can take it at any moment. There is no countdown. There is only the next person willing to pay more. Someone else is getting the attention. You are watching. They're owning it. Send this page. The next person who…from dontpressthebutton.lol
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- FrontBid3d ago · internet-frontpage.vercel.app · ▲2
Pay to own the internet's homepage. Until you're outbid.
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


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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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