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Package downloads, GitHub activity, and contributor trends across 246+ AI companies. The developer adoption data that funding databases don't track.
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 project visibility. Higher stars often correlate with stronger developer communities.
Weekly commits indicate active development pace. Companies shipping frequently tend to iterate faster on developer tools.
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 246+ 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.