GitDealFlowsignals

For Due diligence analysts

VC Deal Flow Signal for Technical Due Diligence

Verify engineering claims with public data instead of taking the founder's word.

Technical due diligence in venture historically depended on founder self-reporting plus a partner's intuition about the team. Public engineering data has changed that, diligence teams can now verify shipping pace, contributor growth, language stack, and architectural choices independently, in hours rather than weeks. VC Deal Flow Signal is the structured layer most diligence teams use as the first pass.

Diligence time

30 min vs week+ manual

Cost vs technical consultant

EUR 49/mo vs $5-15K

Verification depth

Full historical metrics

Problem

Founder pitch decks describe shipping velocity and team composition; diligence teams rarely have time to independently verify these claims. Bringing in a technical advisor to spend a week reviewing a startup's GitHub org costs four-figure consulting fees and weeks of latency. For most checks the diligence team accepts the founder's framing, which can produce expensive surprises post-investment.

How VC Deal Flow Signal fits

VC Deal Flow Signal provides instant access to historical engineering metrics for any startup with a public GitHub footprint. Verify the founder's velocity claims, benchmark against sector peers at the same stage, identify any concerning patterns (declining contributor counts, fork-and-rename artifacts, single-contributor dependencies). The diligence pass that previously took a week takes 30 minutes.

Workflow

  1. 1

    Look up the startup in the Dashboard

    Most venture-backed technical companies are already in the panel. Pull the company's full historical chart with one search.

  2. 2

    Verify velocity claims against the chart

    Compare the founder's described shipping pace to the actual commit velocity over the same period. Material discrepancies merit follow-up questions.

  3. 3

    Check contributor patterns

    Look for healthy contributor distribution (multiple contributors, sustained over time) versus concentration risks (single contributor responsible for 80%+ of recent commits).

  4. 4

    Benchmark against sector peers

    Use the sector pages to compare the target's metrics against companies at the same stage in the same sector. Top quartile, bottom quartile, or middle of the pack.

  5. 5

    Document findings in the diligence memo

    Reference the source data in the diligence memo. The methodology is published openly, so partners and IC members can verify the diligence work themselves.

Frequently Asked Questions

Does this replace a technical advisor?

No, it complements one. Engineering acceleration provides quantitative metrics; a technical advisor provides architectural and code-quality judgment. For checks above $1M most diligence teams use both.

What if the startup is private-repo only?

The signal works for any startup with at least some public engineering footprint, public SDK, infra repos, OSS components. For purely closed-source companies, the diligence layer requires alternative sources. Many SaaS companies have at least some public artifacts.

Can findings be shared with the founder?

Yes. The data is public, so sharing diligence findings with the founder during follow-up conversations is appropriate. Many founders welcome the structured metrics, it gives them a defensible answer to investor velocity questions.

Relevant comparisons

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21-47 days
Signal Lead Time (median 31d)
$80M+
Rounds Tracked
90 sec
Per Scan
5,000+
Founders Tracked

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