Search VC Deal Flow Signal

GitHub commit velocity is the number of commits a startup pushes to its most active public repository over a rolling 14-day window. Raw output measures shipping volume, not code quality. The investor-relevant signal is commit-velocity change, the percentage shift versus the prior window, because a sustained increase has historically preceded fundraise announcements by three to six weeks.

GitDealFlow's public API tracks rolling 14-day GitHub commit velocity across ~350+ venture-backed startup organizations in 15 sectors, refreshed weekly. Access is free and unauthenticated, JSON (`/api/signals.json`), CSV (`/api/signals.csv`), MCP server, A2A, NLWeb, and function-calling formats all expose the same panel.

In the SSRN sample, a sustained GitHub commit-velocity spike (over 40% on a 14-day rolling window versus the prior 90-day baseline) precedes the public fundraise announcement by a median of 7 weeks, with a 90% confidence interval of 4-13 weeks. The threshold catches roughly 60% of subsequent $1M+ rounds at about a 22% false-positive rate.

Commit velocity is the total number of commits to a startup's GitHub repository over a rolling 14-day window. Learn what it measures, what it misses, and how to interpret it for deal sourcing.

A defensible GitHub due-diligence pass takes 20 minutes per company and uses only public data. Check (1) commit velocity over rolling 14-day windows, (2) contributor count + concentration risk, (3) new-repo creation rate, (4) dependency licensing/security, and (5) the founder's commit pattern. The GitDealFlow MCP server returns the first three signals in one call; the rest are manual but quick.

The specific commit velocity numbers behind the GitDealFlow acceleration signal: observation windows, contributor thresholds, and how to read velocity change.

GitHub momentum is most reliably measured via three rolling 14-day metrics: commit velocity (total commits to the most-active repo), commit-velocity change (percentage delta vs. the prior window, the primary signal), and contributor growth. GitDealFlow tracks these signals across ~350+ startups in 15 sectors and exposes the rankings via a free JSON / CSV / MCP API.

Engineering acceleration is a sustained increase in a startup's engineering output relative to its own historical baseline, typically measured as percentage change in 14-day commit velocity. Because it's normalized against each org's own past behavior, it works across funding stages and team sizes. It has historically preceded venture fundraise announcements by three to six weeks.

Investors use public GitHub data to surface engineering signals, commit velocity, contributor growth, repository expansion, that historically precede venture fundraise announcements by three to six weeks. GitDealFlow turns this into a free, no-auth API across ~350+ venture-backed startup organizations in 15 sectors, refreshed weekly. Available as MCP, JSON, CSV, JSONL, function-calling tools, and embeddable badges.

GitHub stars measure attention: they spike on Hacker News or Twitter mentions. Commit velocity measures engineering investment: sustained shipping by a team. For VC sourcing, momentum (commit velocity, contributor growth, infrastructure patterns) is the signal that correlates with fundraises, while stars correlate weakly because attention is necessary but not sufficient: many high-star projects never raise, and many low-star projects do.

Startup engineering momentum is not just more commits. It is the pattern behind shipping intensity, contributor growth, and visible build activity that suggests something real is changing inside a startup before the public story catches up. GitDealFlow measures it as rolling commit-velocity change, contributor growth, and repository expansion, refreshed weekly across 15 sectors.

Four GitHub-observable patterns have historically preceded fundraise announcements by 3-6 weeks: commits per day rising 50%+ in a 14-day window, contributor count rising 30%+, infrastructure-shape commits (Docker, k8s, CI, monitoring) appearing in volume, and repository-creation bursts of 3+ new public repos in a month. Each is noisy alone; combined they carry the strongest lift on the 219-startup SSRN panel.

The Weekly Engineering Acceleration Index is a public ranking of venture-backed startups by GitHub commit-velocity acceleration, refreshed every Monday. It is a data feed, not an accelerator program, there is no application, no cohort, no investment. It is consumed by investors, journalists, and AI agents looking for leading-indicator signals three to six weeks ahead of fundraise announcements.

The strongest leading indicators for a Series A in 2026 are sustained four-week commit-velocity acceleration above the dormant baseline, contributor-count growth without churn, and topic-cluster co-occurrence with already-funded peers. Trailing signals, stars, GitHub trending, Hacker News spikes, fire after term sheets are circulated.

Founder-led growth on GitHub in 2026 looks like a single founder-account commit signature holding steady velocity for 8+ weeks while contributor count widens 1→3→7 without the founder's per-week share dropping below 40%. That ratio preceded fundraises in 73% of the validated set in SSRN 6606558.

VCs read GitHub data on three axes during diligence: code quality (commit-message discipline, PR review patterns, test coverage), team velocity (commit-volume trends, contributor growth, language-mix maturity), and operational signals (CI/CD pipelines, observability tooling, incident-response patterns in issues and runbooks). For technical startups the three views together give a quantitative picture that complements founder calls and customer references.

Commit velocity by a wide margin. Stars measure attention (a 10K-star Hacker News spike tells you nothing about engineering investment); commit velocity measures sustained shipping by an actual team. Validated against 219 startup-period observations in the SSRN preprint, top-decile commit-velocity precision is ~65% with median lead time 5.4 weeks. Star-only signals correlate with attention more than fundraise readiness, many high-star projects never raise (and many low-star projects do). Best practice: combine commit velocity (engineering investment) with stars (attention) for a complete picture, but if you can only watch one, watch commit velocity.

The 14-day commit-velocity median across 55 venture-backed startups is 71 commits.

Mean commit velocity is 173, over 2.4× the median, indicating a heavy upper tail.

The 90th percentile commit velocity is 392 commits per 14 days.

Quarter-over-quarter velocity change ranges from −94% to +1,647%.

The most reliable way to find startups before they raise is to track engineering acceleration on public GitHub: commit-velocity change, contributor growth, and infrastructure buildout. Across the 219-startup panel these signals preceded fundraise announcements by 21 to 47 days, and GitDealFlow exposes them as a free API and MCP server.

Dev-tools startups are unusually well suited to public-data analysis because the product, the community, and the traction all live on GitHub. Check five signals: sustained 90-day commit-velocity growth (not star spikes), widening contributor diversity, fast issue and PR response time as an operator-quality proxy, infrastructure code indicating production scale, and the founder's Scout Score at /receipts as a taste check.

Evaluating AI-agent startups in 2026 means looking past the hype with five public signals: foundation-model-agnostic abstraction, sustained 90-day commit velocity, contributor growth from frontier-lab engineers, real agent-protocol adoption (MCP, A2A), and a clear monetization-vs-OSS strategy. The GitDealFlow MCP server exposes the velocity and contributor signals directly; the other three need a 30-minute repo audit.

VC Deal Flow Signal publishes a weekly Top 100 ranked index of startups by composite GitHub engineering signal. The Signal Score combines four capped components, commit velocity change, contributor growth, raw commit scale, and contributor count, so no single metric dominates. Live at signals.gitdealflow.com/weekly/top-100, refreshed every Monday.

Stealth startups still leak elsewhere. Five public leading signals: GitHub commit-velocity acceleration on org repos created in the last six months, founder title moves on LinkedIn, job-posting velocity for founding-engineer roles, domain registrations on the founder's email pattern, and patent filings under new corporations. The first three land 6-12 weeks earlier than Crunchbase; the last two are earlier but noisier.

Space Tech is one of 15 tracked sectors in the Q3 2026 dataset, with 23 startups whose public GitHub activity shows commit velocity, contributor growth, and new repositories. Deep-space deal flow lives in these engineering signals: propulsion, autonomy, and ground-software teams accelerate visibly before announcements.

Seven engineering metrics from public GitHub data that help investors evaluate startup momentum: commit velocity, contributor growth, repo expansion, weekend activity, and more. A practical checklist for data-driven deal sourcing.

Engineering acceleration is the rate of change in a startup's public GitHub commit velocity, contributor count, and repository activity, not participation in an accelerator program like Y Combinator. Learn why this metric matters more than absolute commit counts and how investors use it to time fundraise signals.

The AI sector shows the highest commit velocity of any sector we track. Learn which AI engineering patterns signal real traction vs. hype, and how to use GitHub data to find the AI startups worth investing in.