Developer adoption
Package downloads, dependent packages and repos, code imports, and active contributors.
About
AI-Buzz publishes dated company research cards from public company data.
It covers data sources, card review, limits, and corrections.
AI-Buzz uses public data when it can be mapped to a company and checked against sources.
Package downloads, dependent packages and repos, code imports, and active contributors.
GitHub stars, forks, contributor movement, and repository metadata for public projects.
Funding, hiring mentions, and discussion volume when the sample is large enough to use.
Sync dates, source checks, and manual review for company mappings and funding records.
Most adoption and code data refreshes daily. Other datasets refresh weekly or monthly by source. Funding is published after verification.
The developer adoption leaderboard combines public adoption inputs for consistent company comparisons. Research claims still point back to cited sources.
Open developer adoption dataRecent sources, clear mappings, and manual review matter most. Weak or stale data may appear as context, but not as the main claim.
Not every change becomes a research card. Cards publish when the data is current, cited, and useful on its own.
Public data misses private adoption. Downloads can be inflated by automation. Package mappings can lag new product launches. Small discussion samples are noisy. The metrics are directional, not a complete market census.
Company mappings, funding records, and high-impact claims get manual review when automated checks are not enough.
Factual errors can be reported from company pages or by emailing nick@ai-buzz.com. Corrections update the visible page data and the relevant as-of date.
The public changelog records data updates and source changes in the data changelog feed.
Research lists dated company cards. Company pages show the metrics and sources behind them.