Icon
The G mark
SVG, scales to any size. Keep the gradient tile; don't recolor it or crop the glyph out.
Download SVGFor partners, affiliates & press
Everything you need to mention, link, or review the product. Short version: call it “VC Deal Flow Signal by GitDealFlow,” use the assets as-is, and don't imply we endorsed you.
Icon
SVG, scales to any size. Keep the gradient tile; don't recolor it or crop the glyph out.
Download SVGWordmark
The wordmark is just styled text: bold system sans, tight tracking, white on the dark background. One word, capital G, D, and F, never “Gitdealflow” or “git deal flow.”
Palette
#ff6b1a
#0f172a
Orange is for the signal moments only; almost everything else sits on the dark slate. If in doubt, use more dark and less orange.
Social card
Use this 1200×630 card when you link the site. Hotlinking is fine: signals.gitdealflow.com/opengraph-image
Usage
Questions, or need something not on this page? Email signals@gitdealflow.com.
GitDealFlow is a public deal flow signal dataset: 350+ startup GitHub organizations across 15 sectors, refreshed weekly, with breakout teams surfacing 21 to 47 days before their round is announced. This page makes one part of that system legible: what it measures, how it is computed, and how to use it in a live sourcing workflow. The method is published end to end and falsifiable by design, with the working paper on SSRN and the dataset downloadable under CC BY 4.0.
A practical read-through of Brand assets: the dataset behind this page refreshes weekly across 350+ organizations and 15 sectors, and every figure shown traces to a public GitHub REST API pull. That matters for two reasons. Reproducibility: any number here can be re-derived from primary sources, which is the standard the published methodology sets for itself. Timeliness: engineering acceleration precedes announcements, so this page follows the data cadence rather than the news cycle, and the freshness endpoint always reports the exact pull date.
If Brand assets is your entry point, the fastest next steps are fixed: skim the glossary for the three or four terms that anchor the topic, open the research dataset to see the raw weekly snapshots behind the summary numbers, and run one live query against the free momentum checker with a company you already know well. Seeing the signal fire on a familiar name is the quickest way to judge whether code-side sourcing belongs in your own workflow.