{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T17:36:27Z","timestamp":1776706587269,"version":"3.51.2"},"reference-count":0,"publisher":"Elsevier BV","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SSRN Journal"],"abstract":"<jats:p>We release a quarterly longitudinal panel of GitHub engineering-velocity signals across 55 venture-backed startups in 20 sectors, spanning five quarters from Q2 2025 through Q2 2026 (219 startup-period observations). For each observation we record commit velocity over a rolling 14-day window, unique-contributor count, new-repository creation, and a deterministic classification into one of four acceleration patterns: framework migration, engineering hiring burst, infrastructure buildout, and deploy frequency spike. We describe the data-collection methodology, report descriptive statistics across sectors and geographies, and document known limitations \u2014 most importantly the absence of linked funding-event labels in this release. Observed 14-day commit velocity has a median of 71, a mean of 173, and a 90th percentile of 392; quarter-over-quarter velocity change ranges from -94% to +1,647% with 49% of observations showing positive growth. Framework migration dominates the signal distribution at 75% of observations; deploy frequency spike, engineering hiring burst, and infrastructure buildout account for 12%, 9%, and 4% respectively. The dataset is distributed under CC BY 4.0 at https:\/\/signals.gitdealflow.com\/api\/signals.csv and mirrored on Kaggle, Data.world, and Zenodo (DOI: 10.5281\/zenodo.19650920). Our goal is to provide a public baseline for researchers studying alternative data in venture capital, signal processing of open-source development activity, and sector-level engineering-pattern heterogeneity. We invite replication studies joining the panel against external funding-event sources such as Crunchbase or PitchBook.&lt;br&gt;&lt;br&gt;Keywords: venture capital; alternative data; GitHub; open source; engineering velocity; startup analytics; panel data.&lt;br&gt;&lt;br&gt;JEL Classification: G24; L26; O32; C81.<\/jats:p>","DOI":"10.2139\/ssrn.6606558","type":"journal-article","created":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T16:37:07Z","timestamp":1776703027000},"source":"Crossref","is-referenced-by-count":0,"title":["A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups: Dataset and Early Observations"],"prefix":"10.2139","author":[{"given":"The Data","family":"Nerd","sequence":"first","affiliation":[]}],"member":"78","published-online":{"date-parts":[[2026]]},"container-title":["SSRN Electronic Journal"],"original-title":[],"language":"en","deposited":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T16:37:08Z","timestamp":1776703028000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ssrn.com\/abstract=6606558"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":0,"URL":"https:\/\/doi.org\/10.2139\/ssrn.6606558","relation":{},"ISSN":["1556-5068"],"issn-type":[{"value":"1556-5068","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}