Sort by Score: Find the Best Posts

18+ only. This guide discusses adult content and is intended for adult audiences.

By default, search results are ordered by date — the newest uploads first. That's the right default for following a fandom, but it means the top of your results is whatever was posted in the last few hours, not what's actually good. On popular tags, hundreds of posts are uploaded per day, and most of them are mediocre. Sorting by score fixes this in one click.

The three sort orders

The sort selector sits above the first post in your results. Three options are available:

  • Date (id) — newest first. Best for keeping up with a fandom or checking what was uploaded today.
  • Score — most likes first. This is the "show me the greatest hits" order. The community has already done the curating for you.
  • Updated — most recently edited first. Posts get re-tagged and improved over time, so this surfaces posts that were just upgraded, e.g. with higher-resolution files.

Combine score sorting with a score filter

Sorting alone shows the best posts first, but the tail of the results is still every upload ever. Add a minimum score filter and the tail disappears: score>=50 keeps only posts that earned at least 50 likes. For huge fandoms with tens of thousands of posts you can push it much higher without running dry.

  • +princess_zelda, sorted by score, minimum 50: Try it
  • +metroid, sorted by score, minimum 100 — only the fan favourites: Try it

Recipes worth saving

  • Best of a fandom: character tag + sort=score:desc + score>=50. The fastest path from zero to excellent.
  • Best animated posts: add +animated to any score-sorted search. Example
  • New and decent: keep date sorting but add score>=5 — fresh uploads with at least some community approval, filtering out the pure noise.
  • Rediscoveries: sort by updated on a big tag to surface classics that were just re-tagged or upgraded to higher resolution.

Why likes are a good quality signal

Scores are aggregate community judgement: thousands of people saw the post and a subset cared enough to like it. It's not a perfect signal — it favours popular characters — but as a zero-effort filter it beats everything else. Combine it with a blacklist for the things scores can't measure: your personal turn-offs.

For more narrowing techniques, see how to combine tags to narrow down results.