1. New deal sourcing
Start the Monday pipeline review with the teams showing the largest change against their own recent baseline, then filter by the sectors your fund already understands.
For venture capital deal teams
Add a weekly engineering-momentum layer to sourcing, pipeline review and portfolio monitoring, without replacing the databases or relationships your team already uses.
Plain answer: GitDealFlow reads public GitHub activity across 350+ startup organizations in 15 sectors, refreshed weekly. It highlights unusual changes in commit velocity, contributor breadth and repository expansion so a VC team can decide which technical startups deserve research before the round becomes public.
Venture sourcing is a timing problem. Warm introductions, demo days and funding databases are useful, but they often point every fund toward the same company at the same time. Public engineering activity provides a different view. A team that is adding contributors, expanding repositories and shipping faster has changed something operationally, even when it has not announced why.
GitDealFlow turns that activity into a ranked attention list. It does not decide whether a startup is investable. It tells associates, principals and partners where another hour of research may be worth spending this week. In a documented panel of 219 startup-period observations across 55 startups, the acceleration pattern appeared 21 to 47 days before public fundraise announcements. That is an association, not a guarantee.
Start the Monday pipeline review with the teams showing the largest change against their own recent baseline, then filter by the sectors your fund already understands.
Use the signal as one input beside founder quality, market evidence and relationship context. It helps separate a stale database record from a team that is visibly building now.
Watch whether public engineering momentum is strengthening, holding or cooling. A change is a reason to ask a better question, not a substitute for a founder update.
Link each signal back to public source data and a transparent methodology. The team can inspect the evidence instead of trusting a black-box score.
The free Sunday Signal Digest gives the team five accelerating startups with a plain-English reason for each pick. The live signal board supports direct research. Public JSON and CSV exports work for spreadsheets and internal data workflows. The OpenAPI description works for code generation, and the MCP server lets Claude, Cursor and other compatible clients query the same signal layer.
This is an additive sourcing layer. Keep Affinity, Attio, DealCloud, PitchBook, Crunchbase or the CRM your firm already trusts. Use GitDealFlow to decide which names should move up the queue, then record the decision and normal diligence in your existing system.
The useful question is not “Will this company raise?” It is “Did this team change enough that we should investigate now?”
That last step matters. A sourcing signal is only valuable if the fund measures whether it produced better qualified meetings, earlier access or stronger pipeline coverage than the channels it displaced.
Funding databases are strongest after a company or round is already known. GitDealFlow adds a weekly code-side signal from public GitHub activity so a deal team can decide which technical startups deserve attention before the announcement cycle.
Yes. Public JSON, CSV and OpenAPI surfaces are available, and the MCP server lets compatible AI assistants query the same signal layer. The free public tools require no authentication.
No. Engineering acceleration is a prioritization signal, not an investment recommendation or a guaranteed prediction. It helps a deal team decide what to research next, while normal market, team and product diligence still applies.
Start with the public board and the free Sunday digest. No demo call and no card are required.
Open the live signals