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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.
How engineering acceleration is measured, what each signal means, and how to read commit, contributor, and repository activity for investing.
9 articles →
Practical sourcing playbooks — pre-seed, seed, Series A — that combine GitHub signals with the rest of an investor's stack.
4 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.
3 articles →