BeatOut
Likes rank SaaS & apps — free 封神 board
What it does
BeatOut (封神) is a free public leaderboard for SaaS, apps, and software products. Paste your product URL, we autofill title and description, and the community likes what deserves attention. Most likes rise to the top. No pay-to-rank in this first edition. Filters out abandoned sites, adult content, and local businesses (restaurants, hotels, bathhouses). Built for indie makers tired of paying for promotion.
BeatOut SaaS discovery and promotion for founders and indie makers. Submit your SaaS for free, get discovered, and earn more exposure through shares and likes.
Start with 3 hours. Share to earn 1 hour. Get likes to earn 15 minutes. When time runs out, submit again. Public website for the Cloudflare CDN, DNS, and security platform. Public website for the YouTube video sharing and streaming app. Public website for Microsoft 365 office apps and cloudfrom beatout.vercel.app
Does the same job
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kickbid.lol — The paid leaderboard. 12d ago · kickbid.lol · ▲1Rank is the bid — nothing else. No ads, no algorithm.
DailyOutbid.lol14d ago · dailyoutbid.lol · ▲12Another outbid.lol copycat, but leaderboard resets EVERY 24h


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