Finding 18 of 30 · Numerical finding
GitHub-signal classifier is fully deterministic — no ML, no black-box
From A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups (SSRN), section §3.3 Signal classification. CC BY 4.0.
The finding
The classifier is fully deterministic — no ML, no black-box.
Why it matters
Auditable and replicable. Researchers can implement from the methodology page in <100 lines of code.
Provenance
- Paper: A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups — SSRN abstract 6606558.
- Section: §3.3 Signal classification
- 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).
How to cite
The Data Nerd (2026). "GitHub-signal classifier is fully deterministic — no ML, no black-box." Finding 18 of 30 in: A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups. SSRN abstract=6606558. Retrieved from https://signals.gitdealflow.com/research/deterministic-classifier-no-ml
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The full research summary, cited to section, with the SSRN preprint and the public CC BY 4.0 dataset.
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