Topical Series
Startup Due Diligence
How investors evaluate a startup before writing the check: team, market, product, and the engineering layer public GitHub data reveals before the data room opens.
Articles in this series (2)
The series runs 2026-08-12 through 2026-08-12, 2 posts so far, newest first below. The spread of publish dates is the cadence: the pillar is maintained, not a one-off essay collection.
Technical Due Diligence With Public GitHub Data: Reading Engineering Health Before the Data Room
How to run technical due diligence on a startup using public GitHub activity: commit velocity, contributor growth, repository expansion, and the signals that precede a fundraise.
The Startup Due Diligence Checklist: What to Check Before You Write the Check
A working startup due diligence checklist for early-stage investors: team, market, product, financials, and the engineering signals public GitHub data adds before the data room opens.
How this pillar fits together
"Startup Due Diligence" is one of 10 topical series on the site, and its scope is deliberately narrow: how investors evaluate a startup before writing the check: team, market, product, and the engineering layer public github data reveals before the data room opens. The keyword set (startup due diligence, VC due diligence, how to evaluate a startup, due diligence checklist) marks the edges of that scope.
Each post in the grid above covers one slice of that scope, and together the 2 posts sequence from measurement (what the signals are) to workflow (what an investor does with them). Read them in publish order if you are new to the series; jump to the newest if you already run a sourcing stack.
The pillar interlocks with the dataset itself: every claim in the series cites the same weekly-recomputed methodology and the same machine-readable feeds, so the essays age as data updates rather than as opinions.
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