Package downloads, GitHub activity, and contributor trends across 262+ AI companies. The developer adoption data that funding databases don't track.Data last synced:
Combined npm and PyPI downloads per month. A direct measure of how many developers are actively using each company's tools.
GitHub stars reflect developer interest and awareness. Stars measure visibility, not necessarily active usage - see download data for direct adoption metrics.
Weekly commits indicate active development pace. Companies shipping frequently tend to iterate faster on developer tools.
Unique commit authors in the last 30 days. More contributors indicate a broader, healthier development community.
How many packages depend on each company's tools. High dependent counts indicate deep ecosystem integration that's difficult to replicate.
Developer adoption measures how many developers are actively using a company's tools in their projects. Unlike funding or valuation, adoption signals (package downloads, GitHub activity, contributor growth) reflect real product usage. A company with millions of monthly npm downloads has developers depending on its tools in production code.
AI-Buzz collects data daily from npm, PyPI, GitHub, and Hacker News. Package downloads are pulled from the npm Registry API and PyPI Stats API. GitHub metrics (stars, forks, weekly commits, contributors) come from the GitHub REST API. All signals are aggregated per company and updated every 24 hours.
The strongest adoption signals are package downloads (npm and PyPI), which measure developers actively installing tools. GitHub stars indicate interest, while weekly commits and active contributors show development velocity. npm dependent counts reveal ecosystem integration - how many other packages rely on a company's tools.
All adoption metrics are refreshed daily at 6 AM UTC via automated pipelines. Package download counts use 30-day rolling windows, GitHub contributor data covers the last 30 days, and commit activity reflects the most recent week.
Traditional AI company databases rank companies by funding raised or valuation. But funding measures investor conviction, not product-market fit.
Developer adoption signals (package downloads, GitHub activity, contributor growth) measure something funding data can't: how many people are actually using the product. A company with 10M monthly npm downloads has millions of developers depending on its tools in production. That's harder to fake than a press release about a funding round.
AI-Buzz tracks these signals daily across 262+ AI companies, building a historical record that can't be replicated retroactively. Whether you're evaluating an investment, choosing an AI vendor, or researching the ecosystem, developer adoption tells you what's actually gaining traction.
Which AI companies are developers actually adopting? We track npm and PyPI downloads for hundreds of companies. Get the biggest shifts weekly - before they show up in the news.