DevWars
Battle for attention. Outbid. Knock out. Win clicks.
What it does
What if advertising was a game? DevWars is a live battlefield where products compete for attention. Enter for $1, outbid competitors, knock them out, and take their position. But a knockout matters: defeated products are locked out for a period of time before they can fight back. The bigger the KO, the longer they stay down. Every battle changes the board. Every position generates measurable views and clicks. And nobody owns the top spot forever. Battle. Knock out. Take the spot. Defend it.
A live competition for measurable attention. Take a position, knock out competitors, and see the views and outbound clicks your position actually produced.
Your intelligent investment portfolio dashboard. Track, monitor, and optimize your startup investments. Meet your AI writing assistant that listens, thinks, and types for you — 3x faster than your keyboard. Voice-activated AI transcription with zero data storage. Spin is an embedded, membership-based talent acquisition solution for US and Canada-based businesses. We replace expensive recruitment agencies, reactive job… Field order is not a ranking. Contenders hold no position until they stake. Showing 24 of 950, at random — find your product → Entry starts at $1 and gets your brand into DevWars. Your stake decides where you enter, the server quotes the real amount before…from devwars.lol
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Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d 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 · 16d ago · simedw.com