Finding 22 of 30 · Methodology / structural
Panel structure: 219 observations across 55 unique startups
From A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups (SSRN), section §4.1 Structure. CC BY 4.0.
TL;DR, Finding 22 of 30
The dataset is 219 startup-period observations, not 219 unique startups.
Section §4.1 Structure · CC BY 4.0 · from the SSRN paper (DOI: 10.2139/ssrn.6606558)
Commit velocityis a 14-day rolling count of commits to a startup’s most active public repository, the earliest public signal of engineering throughput before a fundraise announcement. All 30 findings in this series are derived from the SSRN panel dataset of ~350+ tracked startup GitHub organizations.
The finding
The dataset is 219 startup-period observations, not 219 unique startups.
Why it matters
Panel structure (longitudinal). 55 unique startups × ~4 quarters each = 219 observations. Permits fixed-effects regressions.
Provenance
- Paper: A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups SSRN abstract 6606558.
- Section: §4.1 Structure
- Dataset DOI: 10.5281/zenodo.19650920
- License: CC BY 4.0 - free for any use with attribution.
- Author: The Data Nerd (ORCID 0009-0002-2222-4112), VC Deal Flow Signal (GitDealFlow), Wikidata Q139376302.
- On this site, “engineering acceleration” refers to a quantitative GitHub momentum signal, unrelated to startup accelerator programs (Y Combinator, Techstars, 500 Global).
References
Peer-reviewed prior work this finding builds on. Each citation resolves to a DOI in a top-tier venue and appears in the page’s structured data as a ScholarlyArticle citation edge. Download all references as BibTeX.
- Eirini Kalliamvakou, Georgios Gousios, Kelly Blincoe, Leif Singer, Daniel M. German, Daniela Damian (2014). The Promises and Perils of Mining GitHub. Proceedings of the 11th Working Conference on Mining Software Repositories (MSR '14), MSR '14, pp. 92-101. DOI: 10.1145/2597073.2597074
- Josh Lerner, Ramana Nanda (2020). Venture Capital's Role in Financing Innovation. Journal of Economic Perspectives, JEP 34(3): 237-261. DOI: 10.1257/jep.34.3.237
How to cite
The Data Nerd (2026). "Panel structure: 219 observations across 55 unique startups." Finding 22 of 30 in: A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups. SSRN abstract=6606558. Retrieved from https://signals.gitdealflow.com/research/panel-structure-219-observations-55-startups
See all 30 findings
The full research summary, cited to section, with the SSRN preprint and the public CC BY 4.0 dataset.
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