MapWars

What it does

41 San Francisco neighborhoods. Bidding opens at $10 and only the winner pays. Take one, defend it every week on auction day.

41 San Francisco neighborhoods. Every square starts at $10, paid once. Buy one and it is yours until somebody pays more.

Every square starts at $10, paid once . Buy one and it is yours on the spot: your name and logo on the map, your link under it, and every click it sends, until somebody pays more to takefrom mapwars.wtf

• 
  MainStreet2019 · ▲155

  $10,000 to leave the Bay Area

• 
  frontpage.shJun 2026 · ▲165

  A perpetual auction for eight ad squares

• 
  Sell In Public Challenge2021 · ▲79

  +125 founders with 180 days to build & sell on MicroAcquire

• 
  Vendr Bids2024 · ▲194

  Get bids on any SaaS in 24 hours

• 
  Bid on My Casa6d ago · bidonmy.casa · ▲1

  Auction ad space on a real 3D house

• CT
  Calculate the chance of a parking ticket anywhere in San Francisco2013 · parkroulette.com · ▲23

• 
  AstraPixels▲267

  ​​A pixel-art solar system at its real current positions.​

  Growth · 29d ago · astrapixels.com

• 
  WorldMap.lol▲197

  Put your startup on the map. Literally.

  Growth · 13d ago · worldmap.lol

• TL
  The load-bearing vocabulary of Claude▲703

  Life & fun · 10d ago · louisabraham.github.io

• 
  Hey Noah▲641

  A proactive AI executive assistant for founders

  AI · Aug 2026 · heynoah.io

• 
  Clipto MCP▲640

  Let agents source clips from terabytes of your local video

  Work · 18d ago · clipto.com

• SA
  Simple algorithm and color space to generate diverse skin tones▲627

  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

• 
  AdAnt AI▲608

  Claude for viral, high-converting social ads

  AI · Aug 2026 · adant.ai

• 
  I trained a 125M model to autocomplete piano on-device▲598

  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