Name: AI company research dataset
Creator: AI-Buzz

Question 1

What is AI-Buzz?

Accepted Answer

AI-Buzz publishes Research Briefs on non-obvious AI market shifts and links each claim to company pages and methodology-backed evidence built from daily-updated public signals across 263+ tracked independent AI companies. Some underlying public signals extend back 13+ years.

Question 2

How do you measure developer adoption?

Accepted Answer

We use package downloads, dependents, download growth, GitHub contributors, and related public signals to measure developer adoption. Company pages, rankings, and methodology add more evidence when they help explain the brief.

Question 3

Why use npm and PyPI downloads as signals?

Accepted Answer

Package downloads reflect real developer usage, not marketing spend. When developers install a library, they are committing time and code to it, which makes downloads one of the clearest public adoption signals available.

Question 4

How often is the data updated?

Accepted Answer

Public metrics are updated daily. Some underlying public signals extend back 13+ years.

Question 5

How can I access AI-Buzz data?

Accepted Answer

Research Briefs, company pages, supporting signal pages, and methodology are public. See ai-buzz.com/api-docs for machine-readable access.

Non-obvious AI market shifts, traced through company data.

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