similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to okan.cloud

Okan alternatives & similar sites

Okan Bulut: Psychometrics and Data Science with R and Python — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
javierorraca.com ↗	67 match 2 shared topics	javier – Data Science Bytes	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
javierorracadeatcu.com ↗	67 match 2 shared topics	javier – Data Science Bytes	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
jacobscott.io ↗	66 match 2 shared topics	Jacob Scott - Data Science	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
devskrol.com ↗	66 match 2 shared topics	DevSkrol » Data Science Tutorials and Articles for Beginners	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
jamesh.dev ↗	66 match 2 shared topics	Data Science \| Machine Learning by JH	en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
sctechcenter.com ↗	65 match 2 shared topics	The Science and Tech	en	technology-and-computing	robotsllmsaihumans	emailphone	none
skewedtromba.com ↗	65 match 2 shared topics	SkewedTromba \| Data Science & ML Engineering Journey	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
derive.io ↗	65 match 2 shared topics	Derive \| Data Science & Machine Learning \| Vishal Patel	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
thomaswileman.com ↗	65 match 2 shared topics	Thomas Wileman - Machine Learning & Data Science	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
marionhaney.com ↗	65 match 2 shared topics	Marion Haney - Data Scientist	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cs-trends.com ↗	65 match 2 shared topics	Computer Science Trends \| Catch up with us!	en	technology-and-computing Drupal	robotsllmsaihumans	emailphone	none
cstrends.com ↗	65 match 2 shared topics	Computer Science Trends \| Catch up with us!	en	technology-and-computing Drupal	robotsllmsaihumans	emailphone	none
cstrends.net ↗	65 match 2 shared topics	Computer Science Trends \| Catch up with us!	en	technology-and-computing Drupal	robotsllmsaihumans	emailphone	none
cstrends.org ↗	65 match 2 shared topics	Computer Science Trends \| Catch up with us!	en	technology-and-computing Drupal	robotsllmsaihumans	emailphone	none
waterwaysdata.com ↗	65 match 2 shared topics	Waterway Data – AI, Machine Learning, & Data Science	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
7armstech.com ↗	64 match 2 shared topics	7ArmsTech – Data Science & Machine Learning Template For Elementor	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	partial · 8
devendraparihar.com ↗	64 match 2 shared topics	Devendra Parihar \| AI & Data Science Engineer \| Generative AI Expert	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
tienhoangtran.com ↗	64 match 2 shared topics	Tien Tran \| Portfolio, Data Science, Projects, Experience	United States~ en	artificial-intelligence	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.