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Graph Data Council — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Databases →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
waterbeardata.io ↗	65 match 2 shared topics	Waterbear Data	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ganpatpatel.com ↗	65 match 2 shared topics	Ganpat Patel - Data Engineer	France~ en	databases Drupal	robotsllmsaihumans	email phone	none
jason-symons.com ↗	64 match 2 shared topics	Jason Symons Impact Monitoring Data Consultant \| Jason Symons	en	databases WordPress	robotsllmsaihumans	emailphone	none
drafta.io ↗	64 match 2 shared topics	Drafta - Data Prototyping	en	databases	robotsllmsaihumans	emailphone	none
aicceleratedata.com ↗	64 match 2 shared topics	Aiccelerate Data	en	databases	robotsllmsaihumans	emailphone	none
5bulletdata.com ↗	64 match 2 shared topics	5-Bullet Data \| Dev Bhosale \| Substack	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 2
jamieshive.com ↗	64 match 2 shared topics	Jamie Shive – Data Scientist and Mathematician	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
dilisym.org ↗	64 match 2 shared topics	Data \| MonolixSuite Documentation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dilisymhelp.com ↗	64 match 2 shared topics	Data \| MonolixSuite Documentation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dilisymhelp.org ↗	64 match 2 shared topics	Data \| MonolixSuite Documentation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dilisymservices.org ↗	64 match 2 shared topics	Data \| MonolixSuite Documentation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mcleveland.dev ↗	63 match 2 shared topics	Matthew Cleveland — Data Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
james-brooks.dev ↗	63 match 2 shared topics	James Brooks — Senior BI Developer & Data Analyst	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jalajel.net ↗	63 match 2 shared topics	Jalajel's Blog! \| On being a full-stack data scientist	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
thinkbluedata.com ↗	63 match 2 shared topics	Home \| Think Blue Data	en	databases Drupal	robotsllmsaihumans	emailphone	none
democonnetra.com ↗	63 match 2 shared topics	Connetra \| Data discovery through interactive visualizations	en	technology-and-computing	robotsllmsaihumans	emailphone	none
jeffcheng.org ↗	63 match 2 shared topics	Jeffrey Cheng – A Blog about my journey into data science.	en	databases	robotsllmsaihumans	emailphone	none
webchoir.com ↗	62 match 2 shared topics	WebChoir Home Page - Transform Data into Profit	en	technology-and-computing	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.