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Articles organized by topical series. Each series covers one pillar of how investors use public GitHub data to source and evaluate startups. If you already know your question, start with the sharper routes below instead of browsing the whole topic map.
Start with the highest-intent routes
Use the topic map when you want to explore. But if your real question is proof, comparison, or buyer-side clarity, start with the sharper pages first.
How engineering acceleration is measured, what each signal means, and how to read commit, contributor, and repository activity for investing.
10 articles →
Practical sourcing playbooks — pre-seed, seed, Series A — that combine GitHub signals with the rest of an investor's stack.
5 articles →
GitHub momentum in the broader landscape of alternative data — what it adds, what it replaces, where hiring/web/transactional data fit alongside it.
4 articles →
Sector-specific signal patterns — what GitHub activity looks like in fintech, AI, cybersecurity, climate-tech, and other technical verticals.
4 articles →
First-hand notes from running the dataset — building a longitudinal panel of 4,200+ startup GitHub orgs, MCP server lessons, and other operator-side observations.
6 articles →
The free Acceleration Watch: five venture-backed teams accelerating on the engineering signal, translated into plain English — 21 to 47 days before the deck circulates. No code-reading, no card.