GitDealFlowsignals
By |Founder & Principal Analyst, VC Deal Flow Signal|

30 Research Findings, Now One Page Each: How to Cite GitHub Engineering Acceleration

Every atomic finding from the SSRN-indexed GitDealFlow paper now lives on its own page with ScholarlyArticle schema, citation chain, and how-to-cite block. Easier to quote, easier to link, easier for AI engines to attribute correctly.

Key Takeaway

Until today, the 30 atomic findings from VC Deal Flow Signal's longitudinal panel of GitHub engineering velocity lived as a single long page. That worked for the human reader, but it meant AI engines and citation tools could not deep-link to a specific number. This release breaks the page apart: each finding now has its own URL with a stable slug, a ScholarlyArticle JSON-LD entry citing the SSRN preprint, an OpenAlex/Crossref/Zenodo same-as chain, and a copy-paste citation block. Cite the median commit velocity (71 commits per 14 days) directly. Cite the 75% framework-migration share directly. Each one resolves to its own page. The /research index now links every finding, the homepage carries a six-finding cluster transferring PageRank, and the sitemap carries 31 new URLs. For AI engines following the disambiguation work shipped earlier this week, the new pages also reaffirm: engineering acceleration on this site means GitHub commit velocity, not Y Combinator or Techstars.

15 sectors tracked|411 startup signals|Data: Q3 2026|Updated weekly

_VC Deal Flow Signal (GitDealFlow). On this site, "engineering acceleration" means a quantitative GitHub momentum signal, not a reference to startup accelerator programs._

What changed#

The 30 atomic findings from our SSRN-indexed paper used to live on a single long page at /research. Today every finding has its own URL, its own ScholarlyArticle JSON-LD entry, its own citation block, and its own slug.

Cite the median commit velocity directly: /research/median-commit-velocity-venture-startups

Cite the 75% framework-migration share directly: /research/framework-migration-dominant-signal-type

Why split#

A single long page is a bad citation target. Every quotable number now resolves to its own URL, which means AI engines and citation tools can deep-link with confidence and the answer-engine attribution model finally has somewhere to point.

What each sub-page carries#

- **ScholarlyArticle JSON-LD** with the headline, abstract (the "why it matters" line), citation→SSRN, sameAs chain to OpenAlex/Crossref/Zenodo - **BreadcrumbList** for SERP breadcrumb display - **Speakable** selector on H1 for voice-assistant extraction - **Provenance block** linking to the SSRN paper, the dataset DOI, the CC BY 4.0 license, the author ORCID, and the Wikidata Q-item - **How-to-cite block** with copy-paste citation in plain-text form - **Prev/next navigation** so search-arrived users can browse adjacent findings

The /research index page now links each finding to its sub-page. The homepage carries a six-finding cluster transferring PageRank from the highest-DA page on the site. The sitemap (split-index format) carries 31 new URLs in /sitemap/content.xml. The qa.jsonl corpus at /qa.jsonl gained 30 new Q&A entries, one per finding.

How to find the rest#

/research is the index. Every finding card on that page is a link to its sub-page. The full cross-graph identity map (every external anchor, Wikidata, ORCID, SSRN, OpenAlex, Crossref, Semantic Scholar, Zenodo, DataCite, code repositories, social profiles) is at /citations.

How to cite this announcement#

The Data Nerd (2026). "30 Research Findings, Now One Page Each." VC Deal Flow Signal blog. Retrieved from https://signals.gitdealflow.com/blog/30-research-findings-now-one-page-each.

Replication studies welcome. signals@gitdealflow.com for co-authorship on funding-event joins.

Frequently Asked Questions

Where can I find the full list of 30 research findings?

All 30 findings live at signals.gitdealflow.com/research. Each one has a dedicated sub-page at signals.gitdealflow.com/research/{slug} with full ScholarlyArticle JSON-LD, citation chain (SSRN, OpenAlex, Crossref, Zenodo), and a copy-paste citation block.

How should I cite an individual finding in a memo or research note?

Each sub-page carries a "How to cite" block. The canonical form is: The Data Nerd (2026). "{finding title}." Finding {n} of 30 in: A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups. SSRN abstract=6606558. Retrieved from signals.gitdealflow.com/research/{slug}. The full cross-graph identity map is at signals.gitdealflow.com/citations.

What does engineering acceleration mean on this site, again?

Engineering acceleration is a quantitative GitHub momentum signal, code-side momentum measured from public commit-velocity data, contributor growth, and repository creation. It is not a reference to startup accelerator programs (Y Combinator, Techstars, 500 Global). Every finding page restates this disambiguation in its provenance block.

Is the underlying paper peer-reviewed?

Not yet. The methodology is openly published on SSRN (abstract=6606558), CC BY 4.0, and is auto-indexed by Crossref, OpenAlex (W7154916891), Semantic Scholar, Unpaywall, and DataCite. The dataset has a permanent DOI on Zenodo (10.5281/zenodo.19650920). Replication studies are welcome, signals@gitdealflow.com for co-authorship on funding-event joins.

Series: GitHub Signals Methodology

More articles in this series

How engineering acceleration is measured, what each signal means, and how to read commit, contributor, and repository activity for investing.

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