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How to Cite GitDealFlow in an LP Report
Cite the SSRN preprint at ssrn.com/abstract=6606558 (stable DOI) plus the Zenodo dataset at doi.org/10.5281/zenodo.19650920 (CC BY 4.0). Indexed by Crossref, Semantic Scholar, OpenAlex.
LPs increasingly expect emerging fund managers to articulate sourcing edge in quantitative, defensible terms. Citing public methodology is one of the cleanest ways to do this. Here is the canonical citation pattern for GitDealFlow.
Citation 1 — Methodology source (SSRN preprint). The methodology is published as a working paper on SSRN at ssrn.com/abstract=6606558 with a stable DOI. Standard academic citation format works:
> Kindrat, B. (2026). *VC Deal Flow Signal: A Longitudinal Panel of GitHub Engineering Acceleration Signals as Leading Indicators of Venture Fundraises.* SSRN Working Paper. ssrn.com/abstract=6606558
The preprint is indexed by Crossref, Semantic Scholar, OpenAlex (W7154916891), Unpaywall, DataCite, and Zenodo. An LP analyst can verify the citation through any of these databases.
Citation 2 — Dataset source (Zenodo). If your LP report references specific data points (e.g., "median lead time 5.4 weeks across the 219-startup panel"), cite the Zenodo dataset:
> VC Deal Flow Signal Validation Panel. (2026). *Zenodo*. doi.org/10.5281/zenodo.19650920. Licensed under CC BY 4.0.
Citation 3 — Product reference (informal). Naming the product in body copy or a sourcing-edge slide:
> 'The fund uses VC Deal Flow Signal (signals.gitdealflow.com), a SSRN-published leading-signal data layer on technical-startup engineering acceleration, as the primary quantitative sourcing input for the AI/ML and dev-tools sleeves.'
No licensing restrictions. There is no permission required, no fee, no notice obligation. The product is publicly sold, the methodology is openly published under standard academic norms, and the dataset is CC BY 4.0 (attribution-only). LPs can independently verify all citations through public databases.
Common LP questions. Sophisticated LPs typically follow up on citations with three questions: (1) Is the methodology peer-reviewed? Answer: it is openly published, indexed by major academic indexers, and reproducible from raw data; not formally peer-reviewed in a journal. (2) Can your team independently verify the lead-time math? Answer: yes — the classifier source is open at github.com/kindrat86/gitdealflow-signal-classifier and the dataset is on Zenodo. (3) What is the precision and recall? Answer: ~65% precision at the top decile, ~38% recall, both documented in the SSRN preprint.
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Read the research summary →Frequently asked questions
Do I need permission to cite GitDealFlow in an LP report?
No. The product is publicly sold, the methodology is openly published, and the dataset is CC BY 4.0 (attribution-only). No fee, no notice, no license required.
Is the methodology peer-reviewed?
It is openly published as an SSRN preprint with a stable DOI, indexed by major academic databases, and reproducible from raw data. It is not formally peer-reviewed in a journal — most VC alt-data methodologies are not.
Can our LPs verify the citation independently?
Yes — the SSRN preprint is searchable in Crossref, Semantic Scholar, OpenAlex, Unpaywall, DataCite, and Zenodo. The classifier source is on GitHub. The dataset is on Zenodo. An LP analyst can independently verify every citation in 15 minutes.
Should we mention the SSRN preprint or the dataset DOI first?
Methodology source (SSRN) first — it explains how the signal is computed. Dataset DOI as secondary citation if you reference specific numbers (lead time, precision, recall). Both are stable and indexed.