# Research Data: Industry Statistics & Datasets | GitDealFlow > Free, downloadable industry datasets from GitDealFlow. Real statistics, CC BY 4.0 license, CSV + JSON downloads. Cite freely, link back. Canonical: https://gitdealflow.com/data Plain-text mirror of https://gitdealflow.com/data (Content-Type: text/markdown). --- # Research Data Free, downloadable datasets with real industry statistics from publicly verifiable sources. All data licensed under CC BY 4.0: use freely, just link back. ๐Ÿ“Š Why publish research data? We believe industry benchmarks and statistics should be openly accessible. Every dataset below is curated from public reports, government databases, and market research, properly cited, never fabricated. Use them in your articles, pitch decks, and research. Just include a link back here. ## [Startup M&A Deal Flow Statistics 2026](/data/startup-ma-statistics/) Key statistics on startup acquisitions, median deal sizes, time-to-exit, and acquisition multiples. Compiled from public market reports and industry data.... 9 data points CC BY 4.0 ยท CSV + JSON [CSV](/data/startup-ma-statistics/data.csv) [JSON](/data/startup-ma-statistics/data.json) [GitHub Startup Momentum Index โ†’](/data/momentum-index/) Weekly ranking of notable startup & dev-tool repos by real GitHub engineering-activity signals. Free dataset, CC BY 4.0, refreshed weekly. ## Explore by topic - [Learn: the full guide library](https://gitdealflow.com/learn) - [FAQ: funding stages, signals, and prediction](https://gitdealflow.com/faq) - [Step-by-step playbooks](https://gitdealflow.com/how-to) - [Glossary: one-line definitions](https://gitdealflow.com/glossary) - [Diligence checklists](https://gitdealflow.com/checklists) ## All Data Pages The full data library: engineering velocity dataset, momentum index, funding trends, valuation trends, and M&A statistics. - [activepieces/activepieces: GitHub Momentum Score 83/100](https://gitdealflow.com/data/momentum-index/activepieces-activepieces) - [appsmithorg/appsmith: GitHub Momentum Score 85/100](https://gitdealflow.com/data/momentum-index/appsmithorg-appsmith) - [appwrite/appwrite: GitHub Momentum Score 86/100](https://gitdealflow.com/data/momentum-index/appwrite-appwrite) - [calcom/cal.diy: GitHub Momentum Score 86/100](https://gitdealflow.com/data/momentum-index/calcom-cal-com) - [chroma-core/chroma: GitHub Momentum Score 79/100](https://gitdealflow.com/data/momentum-index/chroma-core-chroma) - [cline/cline: GitHub Momentum Score 87/100](https://gitdealflow.com/data/momentum-index/cline-cline) - [coollabsio/coolify: GitHub Momentum Score 87/100](https://gitdealflow.com/data/momentum-index/coollabsio-coolify) - [denoland/deno: GitHub Momentum Score 88/100](https://gitdealflow.com/data/momentum-index/denoland-deno) - [directus/directus: GitHub Momentum Score 85/100](https://gitdealflow.com/data/momentum-index/directus-directus) - [documenso/documenso: GitHub Momentum Score 82/100](https://gitdealflow.com/data/momentum-index/documenso-documenso) - [formbricks/formbricks: GitHub Momentum Score 81/100](https://gitdealflow.com/data/momentum-index/formbricks-formbricks) - [go-gitea/gitea: GitHub Momentum Score 86/100](https://gitdealflow.com/data/momentum-index/go-gitea-gitea) - [hoppscotch/hoppscotch: GitHub Momentum Score 83/100](https://gitdealflow.com/data/momentum-index/hoppscotch-hoppscotch) - [immich-app/immich: GitHub Momentum Score 88/100](https://gitdealflow.com/data/momentum-index/immich-app-immich) - [langchain-ai/langchain: GitHub Momentum Score 88/100](https://gitdealflow.com/data/momentum-index/langchain-ai-langchain) - [medusajs/medusa: GitHub Momentum Score 85/100](https://gitdealflow.com/data/momentum-index/medusajs-medusa) - [meilisearch/meilisearch: GitHub Momentum Score 82/100](https://gitdealflow.com/data/momentum-index/meilisearch-meilisearch) - [mindsdb/mindshub: GitHub Momentum Score 63/100](https://gitdealflow.com/data/momentum-index/mindsdb-mindsdb) - [n8n-io/n8n: GitHub Momentum Score 88/100](https://gitdealflow.com/data/momentum-index/n8n-io-n8n) - [nocodb/nocodb: GitHub Momentum Score 86/100](https://gitdealflow.com/data/momentum-index/nocodb-nocodb) - [novuhq/novu: GitHub Momentum Score 84/100](https://gitdealflow.com/data/momentum-index/novuhq-novu) - [ollama/ollama: GitHub Momentum Score 88/100](https://gitdealflow.com/data/momentum-index/ollama-ollama) - [oven-sh/bun: GitHub Momentum Score 88/100](https://gitdealflow.com/data/momentum-index/oven-sh-bun) - [plausible/analytics: GitHub Momentum Score 80/100](https://gitdealflow.com/data/momentum-index/plausible-analytics) - [pocketbase/pocketbase: GitHub Momentum Score 86/100](https://gitdealflow.com/data/momentum-index/pocketbase-pocketbase) - [PostHog/posthog: GitHub Momentum Score 85/100](https://gitdealflow.com/data/momentum-index/posthog-posthog) - [qdrant/qdrant: GitHub Momentum Score 84/100](https://gitdealflow.com/data/momentum-index/qdrant-qdrant) - [refinedev/refine: GitHub Momentum Score 63/100](https://gitdealflow.com/data/momentum-index/refinedev-refine) - [run-llama/llama_index: GitHub Momentum Score 86/100](https://gitdealflow.com/data/momentum-index) - [strapi/strapi: GitHub Momentum Score 86/100](https://gitdealflow.com/data/momentum-index/strapi-strapi) - [supabase/supabase: GitHub Momentum Score 88/100](https://gitdealflow.com/data/momentum-index/supabase-supabase) - [tauri-apps/tauri: GitHub Momentum Score 88/100](https://gitdealflow.com/data/momentum-index/tauri-apps-tauri) - [triggerdotdev/trigger.dev: GitHub Momentum Score 82/100](https://gitdealflow.com/data/momentum-index/triggerdotdev-trigger-dev) - [twentyhq/twenty: GitHub Momentum Score 87/100](https://gitdealflow.com/data/momentum-index/twentyhq-twenty) - [typesense/typesense: GitHub Momentum Score 79/100](https://gitdealflow.com/data/momentum-index/typesense-typesense) - [umami-software/umami: GitHub Momentum Score 85/100](https://gitdealflow.com/data/momentum-index/umami-software-umami) - [unkeyed/unkey: GitHub Momentum Score 78/100](https://gitdealflow.com/data/momentum-index/unkeyed-unkey) - [vercel/next.js: GitHub Momentum Score 88/100](https://gitdealflow.com/data/momentum-index/vercel-next-js) - [weaviate/weaviate: GitHub Momentum Score 82/100](https://gitdealflow.com/data/momentum-index/weaviate-weaviate) - [windmill-labs/windmill: GitHub Momentum Score 82/100](https://gitdealflow.com/data/momentum-index/windmill-labs-windmill) - [GitHub Engineering Velocity Data: Methodology and Benchmarks](https://gitdealflow.com/data/github-engineering-velocity-data) - [Startup Valuation Trends 2026: Data-Backed Insights](https://gitdealflow.com/data/startup-valuation-trends) - [Average Seed Round Size 2026: Median Is $3M-$4M, Not the Headline](https://gitdealflow.com/data/average-seed-round-size) - [VC Funding Trends 2026: Data-Driven Analysis](https://gitdealflow.com/data/vc-funding-trends) - [LlamaIndex: momentum profile](https://gitdealflow.com/data/momentum-index/run-llama-llama-index) ## Archive and Reference Annual archives and quick reference pages for the dataset. - [2025 archive](https://gitdealflow.com/2025) - [2026 archive](https://gitdealflow.com/2026) - [Statistics at a glance](https://gitdealflow.com/stats) ## 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. ## Start Here - [Code-Side Sourcing: the category and its method](https://signals.gitdealflow.com/code-side-sourcing) - [Free momentum checker](/free/github-momentum-checker) - [Research and datasets](/data/) - [Pricing](/) A practical read-through of Research Data: the dataset behind this page refreshes weekly across 350+ organizations and 15 sectors, and every figure shown traces to a public GitHub REST API pull. That matters for two reasons. Reproducibility: any number here can be re-derived from primary sources, which is the standard the published methodology sets for itself. Timeliness: engineering acceleration precedes announcements, so this page follows the data cadence rather than the news cycle, and the freshness endpoint always reports the exact pull date. If Research Data is your entry point, the fastest next steps are fixed: skim the glossary for the three or four terms that anchor the topic, open the research dataset to see the raw weekly snapshots behind the summary numbers, and run one live query against the free momentum checker with a company you already know well. Seeing the signal fire on a familiar name is the quickest way to judge whether code-side sourcing belongs in your own workflow. One caveat worth stating plainly on Research Data: momentum is a leading indicator, not a verdict. A repository can accelerate for reasons that never become a fundraise, and a quiet quarter does not mean a team is failing. The disciplined use of this page is as one input in a stack, a way to rank where scarce diligence time goes, and a way to notice change early. The methodology page documents every limitation, including the bot filter, the two-period confirmation rule, and the sectors where coverage is thinnest. Putting Research Data into practice comes down to one discipline: verify against primary data. Every figure on this page is reproducible from the public dataset behind it, which tracks 350+ startup GitHub organizations across 15 sectors and refreshes weekly. Because engineering acceleration is a leading indicator, breakout teams surface 21 to 47 days before a funding round is announced, which is why signal-first sourcing, diligence, and monitoring consistently beat waiting for the announcement databases. The methodology page documents every limitation, including the bot filter, the two-period confirmation rule, and the sectors where coverage is thinnest, so a skeptic can check each claim rather than take it on faith.