Buildings.lol
Own your place on the internet
What it does
Buildings.lol turns pay-to-rank into a living city. Every builder gets a unique building whose size and position reflect their rank. Outbid someone and they fall down the skyline while you climb higher. Build, compete, overtake, and claim your place on the internet. 🏙️
A city built from what people pay to stand in it. Every dollar buys height, a better address and a permanent, shareable landmark.
Own your place on the internet. Every dollar you put in buys height, a better address, and a landmark people can click. Starts at $1 . #1 costs $6 right now · Already on the skyline? Enter the same identity to top up. Combine company memory, workflow agents, and connected tools to move from insight to execution. Humans stay in charge — agents do the work. Combine company memory, workflow agents, and connected tools to move from insight to execution. Humans stay in charge… A permanent building, a page of your own, a click through to your site, and a card that carries your rank everywhere it gets shared. Ranked by verified spend. Positions move the moment a paymentfrom buildings.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