© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Developer adoption intelligence for AI companies — data you won't find elsewhere.
AI-Buzz provides developer adoption intelligence for VCs and corporate development teams evaluating AI companies. Package download trends, contributor activity, and GitHub signals that show real developer traction — not just who raised money.
While Crunchbase tracks funding, AI-Buzz tracks developer adoption: npm/PyPI downloads, GitHub activity, and community signals over time. We show which AI companies developers are actually building with.
Source: npm registry API and PyPI Stats API (daily sync)
We track 30-day npm and PyPI download totals for each company's packages. Downloads are the primary adoption signal — they show which AI tools developers are actually installing and using in production.
Source: Manual curation from company announcements, press releases, and public filings
We manually review and verify funding rounds rather than rely on automated scraping. This ensures accuracy but means we focus on quality over completeness.
Source: Algolia HN Search API (daily sync)
We track how often companies are mentioned on Hacker News over the past 30 days. HN is a leading indicator of developer attention—what's discussed there often becomes mainstream 6-12 months later.
Source: GitHub API (daily sync)
For open-source AI companies, we track stars, forks, and last commit date. This shows whether a project is actively maintained and how much developer interest it's generating.
Source: Aggregated from TechCrunch, VentureBeat, and company blogs
We track major company announcements, product launches, and significant news. This provides context around funding rounds and market shifts.
AI-Buzz is curated, not comprehensive. We focus on companies that are either gaining developer traction, well-funded, or strategically important to the AI ecosystem. This means we might miss smaller companies, but everything we track has been manually vetted. See our company selection criteria and current top 20.
Companies are tagged with a primary domain (main category) based on their core product offering. Our taxonomy includes 16 categories: Foundation Models, Code Generation, AI Agents, Video Generation, Audio & Speech, and more.
Categories are manually assigned and reviewed periodically as companies pivot or expand their product lines.
We track company status (Private, Public, Acquired) based on public announcements. Acquisitions and IPOs are manually verified and updated as they happen.
AI-Buzz is built by a solo founder, with autonomous AI systems handling daily data syncs and content publishing. We're bootstrapped, independent, and committed to keeping core data free and accessible.
Please reach out via email: hello@ai-buzz.com
We review all submissions. Use the Submit a Company form (when enabled) or contact us directly.
VCs manually check npm downloads when evaluating AI companies. We automate that research layer — tracking package download trends, contributor activity, and developer adoption signals that enterprise databases don't cover.
Package downloads, GitHub activity, and community signals tell you what developers are actually building with — not just what got funded. AI-Buzz makes that data accessible to VCs, corporate development teams, and founders evaluating the AI landscape.
Our goal is to track change over time: which companies are accelerating, which are fading, and which developer communities are growing. That's the insight you can't get from static company profiles.
See which AI companies are gaining developer traction right now.