NFTRanker is a community voting platform for NFTs. It shows voters two tokens from the same collection, records which one they prefer, and turns those head-to-head outcomes into live Elo-style rankings.
Most NFT ranking pages are built around market activity, trait rarity, or static editorial ordering. NFTRanker is different because the ranking signal comes from direct community comparisons: what people choose when the NFTs are placed side by side.
That makes NFTRanker useful for collectors, creators, and communities that want to understand preference inside a collection without treating floor price as the only measure of attention.
Rankings move from user choices rather than sales volume, listings, or floor-price momentum.
Each simple matchup feeds the Elo scoring system, so rankings can keep changing as fresh votes arrive.
NFTs are judged against their own collection, where style, traits, memes, and community taste make sense.
Detail pages can show Elo Score, rank, records, battle history, traits, and related marketplace context.
Ranking happens through voting, not through manual sorting. When you answer matchups, NFTRanker applies Elo-style updates so the public board reflects which tokens keep winning credible comparisons.
If you want a compact walkthrough of vocabulary, pacing, and how to read leaderboards, use the Guides hub linked above.
Each vote is a single preference between two NFTs from the same collection. The interface keeps the task small on purpose: choose left or right, then move to the next matchup. Over many voters and many comparisons, the aggregate signal becomes a ranking curve you can explore on collection pages and per-token detail screens.
Rankings are produced using an Elo-style scoring system. For a full explanation of how matchups, scores, and leaderboards are calculated, see the NFTRanker methodology page.