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Jon's Data Company — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
luisrana.dev ↗	65 match 2 shared topics	Luis \| Data Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
fakedatahub.com ↗	64 match 2 shared topics	Free Fake Data Generator	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dataunbound.co.uk ↗	64 match 2 shared topics	Data Unbound	GB en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
urjeetpatel.com ↗	64 match 2 shared topics	Urjeet Patel - Data Analyst	en	technology-and-computing	robotsllmsaihumans	emailphone	none
usevetric.com ↗	64 match 2 shared topics	Turning Data Chaos Into Clarity \| Vetric	en	technology-and-computing Paddle	robotsllmsaihumans	emailphone	none
updatingdata.org ↗	64 match 2 shared topics	:: Updating Data	en	databases	robotsllmsaihumans	emailphone	none
sangthai.dev ↗	64 match 2 shared topics	Sang Thai — Data Engineer	en	databases Spree Commerce	robotsllmsaihumans	emailphone	none
nathanboulogne.com ↗	63 match 2 shared topics	Nathan Boulogne — Data Engineer	en	databases	robotsllmsaihumans	emailphone	none
fakerbox.com ↗	63 match 2 shared topics	Free Fake Data Generator \| FakerBox	en	databases	robotsllmsaihumans	emailphone	none
adamlopuch.com ↗	63 match 2 shared topics	Adam Lopuch :: I build data products	en	technology-and-computing	robotsllmsaihumans	emailphone	none
5bulletdata.com ↗	63 match 2 shared topics	5-Bullet Data \| Dev Bhosale \| Substack	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 2
avalonanalytics.ai ↗	63 match 2 shared topics	Avalon Analytics — Data that works for you	en	databases	robotsllmsaihumans	emailphone	none
samhburns.com ↗	62 match 2 shared topics	Sam Burns \| Data engineer Organizer Brooklyn-based	en	technology-and-computing	robotsllmsaihumans	emailphone	none
fatdata.ai ↗	62 match 2 shared topics	FatData.io	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dilisymservices.org ↗	62 match 2 shared topics	Data \| MonolixSuite Documentation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dilisymhelp.com ↗	62 match 2 shared topics	Data \| MonolixSuite Documentation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dilisymhelp.org ↗	62 match 2 shared topics	Data \| MonolixSuite Documentation	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dilisym.org ↗	62 match 2 shared topics	Data \| MonolixSuite Documentation	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.