GitDealFlow for Private Equity Analysts
PE analysts need early signals on tech acquisitions. GitDealFlow tracks GitHub acceleration across 350+ startups, surface targets before they hit the market.
Why PE Analysts Need Early Signals
Technology diligence has a timing problem. Most of the evidence analysts rely on, revenue, headcount, fundraising history, is published months after the fact, and it is the same evidence every competing fund sees. In tech M&A, the differentiating information is usually the engineering organization: what the team is building, how fast, and whether it is scaling. That information is public, continuous, and largely ignored by traditional diligence tools.
GitDealFlow turns that public activity into a screening signal. It reads the public GitHub activity of 350+ startups and tracks commit velocity, contributor growth, and repository expansion. When engineering accelerates, a fundraise or sale process typically follows within 21-47 days, a pattern documented in a research panel of 219 fundraises. Analysts who see the acceleration early are weeks ahead of every report that will be written about the company later.
How GitDealFlow Fits Your Workflow
Every Sunday you receive five names by email, selected for accelerating engineering momentum. Because every signal is computed from public GitHub data, you can verify it in minutes, check the repositories yourself and pull the specifics into your screening memo.
- Screen for potential tech acquisition targets before they enter a formal process.
- Add an objective engineering dimension to your qualitative diligence on private companies.
- Monitor add-on candidates' momentum over time for portfolio companies.
- Build sector maps of who is scaling engineering, updated weekly without manual scraping.
What You Get Every Week
The digest is free, arrives every Sunday, and unsubscribes in one click. Paid tiers, Dashboard and Insider, add deeper tracking for funds running ongoing sourcing programs. The methodology is published on SSRN under a CC BY 4.0 license with an open dataset, so the signal you cite in an IC memo has a documented, checkable basis.
Start small: subscribe, review the five names on Sunday, verify the strongest candidates on GitHub, and file one short memo a week. Over a quarter, that cadence gives your fund a live map of engineering momentum in your coverage area, before the auction, not after.
Why This Audience Uses Code-Side Signals
GitDealFlow for Private Equity Analysts cares about one question: which teams are accelerating before the market notices. The GitDealFlow dataset answers it from public engineering activity: 350+ startup GitHub organizations, 15 sectors, refreshed weekly, with breakout teams surfacing 21 to 47 days before their round is announced. The signal slots into existing workflows rather than replacing them: it prioritizes which warm intros to chase, which database alerts to trust, and which portfolio companies are quietly decelerating.
Related
- All audiences: who GitDealFlow is for
- Code-Side Sourcing: the category and its method
- Use cases: sourcing, monitoring, competitive intel
- Pricing
A practical read-through of GitDealFlow for Private Equity Analysts: the dataset behind this page refreshes weekly across 350+ organizations and 15 sectors, and every figure shown traces to a public GitHub REST API pull. That matters for two reasons. Reproducibility: any number here can be re-derived from primary sources, which is the standard the published methodology sets for itself. Timeliness: engineering acceleration precedes announcements, so this page follows the data cadence rather than the news cycle, and the freshness endpoint always reports the exact pull date.