Rank21
A fixed-supply AI leaderboard where early boosts go further
What it does
Rank21 is a transparent paid leaderboard for AI products and X profiles. Pick a target rank, set a boost, and preview the estimated placement before checkout. Completed boosts receive Rank Power (RP); more active RP ranks higher. Supply is capped at 21 million RP across 10 eras, and each new era gives half as much RP per dollar. No judges or hidden score—every position is clearly disclosed as sponsored.
Rank AI products with fixed-supply RP. Start at $1; every era halves the RP per dollar, so earlier boosts keep a lasting cost advantage.
On ordinary bid boards, the biggest bid wins. Rank21 fixes supply at 21,000,000 RP, and every era halves the RP per dollar. Start at $1. Earlier boosts cost less because every new era gives half as much RP per dollar. Final RP and rank are set when payment is confirmed. Refunds, reversals, or confirmed chargebacks burn the corresponding active RP. Sponsored placement does not guarantee traffic, sales, or SEO. Questions? [email protected] . Rank21 is an AI product outbid board and an Outbid LOL alternative built around one rule: earlier boosts cost less. No leaders yet. The first completed boost becomes #1 and joins the Genesis 21. The RP you already received does not shrink when a…from outbidlol.ai
Does the same job
all alternatives →
AI Builders Leaderboard3d ago · aibuildersnetwork.org · ▲1Claim your company's rank on the AI builders board
kickbid.lol — The paid leaderboard. 12d ago · kickbid.lol · ▲1Rank is the bid — nothing else. No ads, no algorithm.

Only50 — 50 spots. Highest bid wins.11d ago · only50.lol · ▲1A pay-to-rank leaderboard with only 50 spots.
More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.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