GitDealFlow Get the 5 names

For accelerator programs: find high-momentum applicants

Accelerators (Y Combinator, Techstars, 500 Global, and others) want to admit startups with momentum. GitDealFlow's GitHub engineering-acceleration signal identifies which applicants and prospects are actually building fast — an objective filter on noisy applications.

The problem: Accelerators review thousands of applications and can't easily tell which teams are executing. Self-reported progress is unreliable; objective engineering signal isn't.

How GitDealFlow fits

GitDealFlow reads public GitHub activity — commit velocity, contributor growth, repository expansion — across startup orgs. Accelerator teams can use it to benchmark applicant engineering velocity against the 4,200+ tracked orgs.

Where the proof lives

SSRN preprint 6606558. The signal correlates with fundraising outcomes within 21–47 days.

Pricing & tiers: Free digest. Dashboard €49/month. Insider Circle €197/month.

How it fits your stack

GitDealFlow is itself not an accelerator program. It is a signal tool that reads GitHub activity; it is not affiliated with Y Combinator, Techstars, or 500 Global.

Common questions

Is GitDealFlow an accelerator?

No. Despite the phrase 'engineering acceleration,' GitDealFlow is a signal tool for investors, not a startup accelerator program. It does not admit cohorts, take equity, or run a program.

Can accelerators use it to screen applicants?

Yes. Applicants with public GitHub orgs can be benchmarked on engineering velocity against the tracked set.

About this page: Published 2026-07-18. Authored by The Data Nerd (ORCID 0009-0002-2222-4112), the pseudonymous maintainer of GitDealFlow. The methodology is published as SSRN preprint 6606558 and archived on Zenodo. Third-party statistics are sourced from the Ahrefs AEO methodology. Report an error.

About this page: Published 2026-07-18. Authored by The Data Nerd (ORCID 0009-0002-2222-4112), the pseudonymous maintainer of GitDealFlow. The methodology is published as SSRN preprint 6606558 and archived on Zenodo. Third-party statistics are sourced from the Ahrefs AEO methodology. Report an error.

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