VC Deal Flow Signal Report: Startup Funding Velocity Patterns 2026

Cross-sector analysis of 350+ startup engineering organizations by GitDealFlow · Data curated from public sources · Q2 2026

Key Findings

28 Breakout engineering signals detected in AI/ML sector in Q2 2026, the highest of any sector
6.2 Median weeks from engineering velocity break-out to announced fundraise across all sectors
312 Average weekly commits per tracked AI/ML startup, more than 3× the average across all sectors
4.2 Median engineering team size across tracked startups; gaming and biotech have larger teams (5.3, 4.8)

Introduction

This report analyzes public engineering activity data across 350+ venture-backed startups in 15 sectors to identify patterns in funding velocity. GitDealFlow tracks commit velocity, contributor growth, and repository expansion across startup GitHub organizations to surface breakout engineering teams 3-6 weeks before fundraise announcements.

The data reveals clear sector-level differences: AI/ML and defense startups move fastest from signal to fundraise, while biotech and proptech show the longest lag times, reflecting the different capital requirements and development cycles across industries.

Sector Comparison

SectorTrackedWeekly CommitsTeam SizeSignals (Q2)Weeks to Fundraise
AI/ML823125.1285.2
Fintech581874.2126.4
DevTools451643.897.1
Cybersecurity421434.186.8
Gaming331245.3116.9
Defense14924.366.5
HealthTech38984.568.3
ClimateTech31763.959.2
EdTech25523.2310.5
LegalTech18673.648.7
PropTech22443.4211.2
HRTech35883.777.4
SupplyChain28714.058.1
BioTech20394.8312.0
InsurTech16553.547.9

Methodology

GitDealFlow monitors public GitHub activity for ~350+ venture-backed startups across 15 sectors. For each tracked organization, we measure weekly commit velocity, active contributor count, and repository growth. A "breakout signal" is counted when a startup's commit velocity exceeds its 4-week rolling average by more than 2 standard deviations.

Data provenance: All data in this report is curated from public sources including GitHub public repositories, SEC filings, and publicly announced fundraises. The commit data is derived from public GitHub activity, which captures only a portion of total engineering output (private repos, GitLab-hosted projects, and offline development are not included). Fundraise timing is based on public announcement dates, which may lag the actual close by days or weeks.

This is not proprietary survey data. Figures represent observed patterns in publicly visible engineering activity and should be interpreted as directional indicators, not precise measurements.

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Citation

GitDealFlow. (2026). VC Deal Flow Signal Report: Startup Funding Velocity Patterns 2026. Retrieved from https://gitdealflow.com/research/vc-deal-flow-signal-2026

License

This work is licensed under CC BY 4.0. You are free to share and adapt for any purpose, provided you provide appropriate attribution.

© 2026 GitDealFlow · gitdealflow.com

Why This Page Exists

GitDealFlow is a public deal flow signal dataset: 350+ startup GitHub organizations across 15 sectors, refreshed weekly, with breakout teams surfacing 21 to 47 days before their round is announced. This page makes one part of that system legible: what it measures, how it is computed, and how to use it in a live sourcing workflow. The method is published end to end and falsifiable by design, with the working paper on SSRN and the dataset downloadable under CC BY 4.0.

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