GitDealFlow Get the 5 names

For venture scouts: a pre-round signal and a Scout Score

Scouts get paid to surface deals the fund wouldn't otherwise see. GitDealFlow gives you two tools: a pre-round engineering-acceleration signal, and a free Scout Score that ranks any GitHub user's taste in early startups.

The problem: Scouts compete on quality of deal flow — finding startups before they're obvious. The best scouts have taste, but proving it and finding the next breakout is hard without a systematic signal.

How GitDealFlow fits

GitDealFlow reads GitHub engineering acceleration across 4,200+ startup orgs and flags the ones heating up 21–47 days before the round. Plus the free Scout Score tool: paste any GitHub username and get a 0–100 score computed from how many validated unicorns they starred before the funding, acquisition, or $1B valuation event — backwards-looking proof of taste.

Where the proof lives

Scout Score is computed against ~75 validated unicorns. The acceleration methodology is published as an SSRN preprint (abstract 6606558).

Pricing & tiers: The Signal Digest and Scout Score tool are both free. The Dashboard (€49/month) adds ranked filters; Insider Circle (€197/month) adds the Telegram group and API access.

How it fits your stack

There's no direct competitor for Scout Score — it's a GitDealFlow original. For pre-round discovery, pair with your own network; for post-round confirmation, use Crunchbase.

Common questions

What is Scout Score?

A 0–100 score computed from a GitHub user's starring history against ~75 validated unicorns — measuring how many they starred before the breakout event. It's a backwards-looking measure of taste. Free, no login, at signals.gitdealflow.com/receipts.

How do scouts use GitDealFlow?

Two ways: read the weekly digest for pre-round startups to source, and use Scout Score to evaluate founders or prove your own track record.

Is Scout Score accurate?

It's a heuristic, not a guarantee. It correlates startup taste with future success but doesn't predict it. Use it as one signal alongside judgment.

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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