Flappy Bid
The leaderboard money can't buy
What it does
Ad platforms sell the top spot to whoever pays most. FlappyBid gives it to whoever plays best. Enter your product, play Flappy Bird, unlimited runs. At 00:00 UTC the top product owns the whole site for 24h with a live click counter, then retires undefeated.
Enter your product, play Flappy Bird, top score holds #1. The daily champion gets the whole site for a day — then retires undefeated, forever.
The leaderboard money can't buy. Play Flappy Bird for your product — unlimited runs, best score today is your rank. Win the day and you own this page tomorrow. Already listed? Enter it again to beat its best. Board locks in … . First run on the board takes #1. That could be you, rightfrom flappybid.lol
Does the same job
all alternatives →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