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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
ldbc.org ↗	100 match 2 shared topics	Graph Data Council	en	databases	robotsllmsaihumans	emailphone	none
ldbcouncil.org ↗	100 match 2 shared topics	Graph Data Council	en	databases	robotsllmsaihumans	emailphone	none
opendatakraken.org ↗	66 match 2 shared topics	Open Data Kraken	en	databases	robotsllmsaihumans	emailphone	none
opensourcedatastack.com ↗	65 match 2 shared topics	Open Source Data Stack	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ontopic.ai ↗	64 match 2 shared topics	Ontopic, we make data actually usable	Italy~ en	databases	robotsllmsaihumans	emailphone	none
lamech.dev ↗	64 match 2 shared topics	Lamech Bob-Manuel \| Data Professional	en	technology-and-computing	robotsllmsaihumans	emailphone	none
lampyre.io ↗	64 match 2 shared topics	Lampyre: Data analysis & OSINT tool for everyone	en	databases	robotsllmsaihumans	emailphone	none
mcleveland.dev ↗	63 match 2 shared topics	Matthew Cleveland — Data Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bajars.com ↗	63 match 2 shared topics	bajars.com – When Too Much Data is Barely Enough	en	databases WordPress	robotsllmsaihumans	emailphone	none
samhburns.com ↗	63 match 2 shared topics	Sam Burns \| Data engineer Organizer Brooklyn-based	en	technology-and-computing	robotsllmsaihumans	emailphone	none
thinkbluedata.com ↗	63 match 2 shared topics	Home \| Think Blue Data	en	databases Drupal	robotsllmsaihumans	emailphone	none
oraralabs.com ↗	63 match 2 shared topics	Orara Labs \| Amr's Data Science Portfolio	en	databases	robotsllmsaihumans	emailphone	none
larry-henry-jr.net ↗	62 match 2 shared topics	Data Science Portfolio \| Larry Henry Jr.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mikkopallas.dev ↗	61 match 2 shared topics	Mikko Pallas	en	databases	robotsllmsaihumans	emailphone	none
openhistograms.com ↗	61 match 2 shared topics	Vendor-neutral log-linear histograms \| OpenHistogram	en	databases WordPress	robotsllmsaihumans	emailphone	none
openhistogram.com ↗	61 match 2 shared topics	Vendor-neutral log-linear histograms \| OpenHistogram	en	databases WordPress	robotsllmsaihumans	emailphone	none
thiagob.dev ↗	61 match 2 shared topics	Thiago Baptista \| Engineer. Builder. Problem Solver.	en	technology-and-computing Spree Commerce	robotsllmsaihumans	emailphone	none
laplab.me ↗	60 match 2 shared topics	About \| Nikita Lapkov	en	databases Reaction Commerce	robotsllmsaihumans	emailphone	full · 17

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.