GitHub Signals for VC Due Diligence
Due diligence is about verifying claims with evidence, and GitHub is the largest public record of how a software startup actually works. This guide explains the three signals that matter, what they prove, and how to fold them into a standard diligence process.
Why GitHub is due-diligence evidence
Most diligence evidence is self-reported: the founder's deck, the data room, the references they chose. GitHub is different because the founder did not write it for you. It is a contemporaneous, third-party record of what the team actually did, week by week.
That property makes it uniquely valuable for verification. When a founder claims a team of ten engineers shipping fast, the GitHub record either confirms it or does not, and the founder cannot edit the past.
The three signals explained
Three public signals carry most of the diligence value:
- Commit velocity: how frequently the team ships, the execution signal.
- Contributor growth: how the team is scaling, the conviction signal.
- Repository expansion: where the team is heading, the direction signal.
Read together, they answer the three diligence questions that matter most: can this team execute, is it scaling, and is it building toward the roadmap it pitched?
What the signals can and cannot prove
Be precise about the evidential weight. The signals prove execution pace, team scaling, and product direction. They do not prove code quality, market demand, or founder integrity, and a thin public footprint (private repos) is a data limitation, not a red flag.
The discipline is to use the signals to verify specific claims, not to generate a blanket score. 'Is the founder's momentum claim true?' is a clean question the data answers. 'Is this a good company?' is not, and no single signal should be asked to answer it.
Folding GitHub signals into your diligence process
The practical integration is three steps: run the GitHub Due Diligence Checklist early to spot gaps, use the velocity and contributor trends to frame founder questions, and record the results in the memo alongside the financial and legal review.
The signals are cheapest and highest-value at the top of the funnel, where they screen out weak execution before you spend hours on a data room. A 30-minute GitHub review can save a full day of diligence on a team that is not actually shipping.
The limits to keep in mind
Three limits deserve repeating: the signal is sector-dependent (software-heavy sectors show more), it is gameable in the short run (sustained trends are the antidote), and it is blind to private work. A good process treats GitHub as one strong input among several, not as a substitute for the rest of diligence.
Frequently Asked Questions
Can GitHub signals replace traditional due diligence?
No. They verify execution, team scaling, and product direction, but they cannot verify market demand, code quality, or integrity. Use them to make traditional diligence faster and sharper, not to replace it.
Which sectors have the strongest GitHub signal?
Software and software-adjacent sectors: developer tools, AI/ML, fintech, cybersecurity, and data infrastructure. Hardware and biotech have thinner public engineering footprints.
How do I handle a startup with no public GitHub presence?
Treat it as a data limitation, not a red flag, and weight qualitative diligence more heavily. Ask for a code walkthrough and references who can speak to the team's execution.