Finding 20 of 30 · Numerical finding
Dataset under CC BY 4.0 with no restrictions on commercial use
From A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups (SSRN), section §7 Data availability. CC BY 4.0.
TL;DR, Finding 20 of 30
The dataset is distributed under CC BY 4.0 with no restrictions on commercial use.
Section §7 Data availability · 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 distributed under CC BY 4.0 with no restrictions on commercial use.
Why it matters
No academic-only license trap. Anyone can build a competing product on this data.
Provenance
- Paper: A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups SSRN abstract 6606558.
- Section: §7 Data availability
- 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). "Dataset under CC BY 4.0 with no restrictions on commercial use." Finding 20 of 30 in: A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups. SSRN abstract=6606558. Retrieved from https://signals.gitdealflow.com/research/cc-by-4-no-commercial-restrictions
See all 30 findings
The full research summary, cited to section, with the SSRN preprint and the public CC BY 4.0 dataset.
View all findings →