Trust

Methodology

Most AI tooling lists are AI-generated listicles or vendors ranking themselves first. This index is built differently, and the process is open.

How a listing gets verified

A tool is added with its specs read from the official docs and repository, not from a marketing page.
Every entry carries a verified date and a verified by field naming the curator. 100% of the current set is marked verified.
License, open-source status, self-hostability, MCP support, and pricing are the details that matter to users, so they are checked first.

Status. The initial dataset is marked verified_by: seed, meaning best-effort data drawn from public docs. It is being progressively reviewed by hand. The freshness action keeps quantitative fields (stars, activity) current in the meantime.

How we rank what's new

Each insight from a source is compared against everything else we have collected. A claim that almost no other source makes ranks high; a claim that just restates the consensus ranks low. The most original claims show first, and near-duplicates are merged. This is what lets us cut through the sea of repetitive reviews.

Freshness

A GitHub Action runs every Saturday and refreshes quantitative fields for every tool that has a public repository: star count, open issues, and last push. The knowledge pipeline runs on the same schedule to pull new transcripts and re-rank the insights.

Editorial stance

No vendor self-ranking. A tool never writes its own entry.
Featured placement is disclosed and never influences the specs or insights shown.
Every spec is checked against docs and repos, not marketing pages.

The numbers right now

102 tools · 11 curated insights · 8 sources tracked.

Contribute

Spot something wrong? The data lives in src/data/. Open a pull request against tools.yaml, or file an issue, and a curator will review it.