How we rank.
We’re a directory, not an ad network. Here’s exactly what goes into a ranking — and what doesn’t.
In one paragraph
We track AI tools and agent skills. Tools rank by a blend of community upvotes, third-party ratings, and editorial review. Skills rank by GitHub stars, 7-day star growth, and trust level (verified maintainer / signed releases). We never accept payment to change a ranking. We do accept sponsorships — they’re labeled Sponsoredand never appear in the “Top” lists.
Ranking AI tools
Every tool gets a popularity score from 0–100. The score is recalculated nightly from these inputs:
Ranking agent skills
Skills are open source, so we lean on signals you can verify yourself by visiting the repo:
What we deliberately don’t do
- Sell ranking positions. Sponsorship buys you the Sponsored slot, period.
- Pass off editorial reviews as user reviews. Our team seeds short reviews distilled from public user sentiment (G2, Trustpilot, Reddit) so new pages aren’t empty — every one is labeled Editorial, and none of them move a ranking. Details on the disclosure page.
- Use referral revenue as a ranking signal. We have affiliate links; they don’t move position.
- Auto-rank by recency. New tools have to earn their spot.
About the save counts
The 👍 number on each tool combines real saves from signed-in users with a baseline computed from the tool’s popularity score. The baseline exists because raw counts on a young site would read 0–3 for everything; it’s deterministic, identical for every visitor, and real saves stack on top. Full explanation on the disclosure page.
Think a ranking is wrong?
We’d rather hear it. If you’re a maintainer, customer, or just a visitor who thinks something is mis-placed, write us. We read every note and adjust when the signal warrants it.
Dispute a rankingLast updated July 24, 2026.