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 mbvyn.com

Mbvyn alternatives & similar sites

MBVYN — Mykola-Bohdan Vynnytskyi · Databricks & Microsoft Fabric author, data engineering mentor — 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
learndatabricks.com ↗	72 match 1 shared topics	Thinking in Data Engineering with Databricks \| Bricks Notes	en	technology-and-computing	robots llmsaihumans	emailphone	partial · 5
ibscodes.io ↗	67 match 1 shared topics	Data Engineering Roadmap	en	technology-and-computing Lightspeed	robotsllmsaihumans	emailphone	none
ianlukekane.com ↗	67 match 1 shared topics	Ian Luke Kane \| Thoughts from a data professional on the topics of data engineering and operations.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
zrehman.com ↗	66 match 1 shared topics	Zia Ur Rehman \| Software Engineering Manager	United States~ en	technology-and-computing	robotsllmsaihumans	emailphone	none
naelaqel.com ↗	66 match 1 shared topics	Nael Aqel \| Data Analytics Engineer & MIT Graduate	en	technology-and-computing	robotsllmsaihumans	emailphone	none
carrylryan.dev ↗	66 match 1 shared topics	CarrylRyan.dev \| Aspiring Backend & Data Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
amarppatel.com ↗	66 match 1 shared topics	Amar P. Patel — Engineer, Founder, Lifelong Builder	United States~ en	technology-and-computing	robots llmsaihumans	emailphone	none
kayleewilliams.dev ↗	66 match 1 shared topics	Kaylee Williams — Founding Engineer at Inth, c15t co-author	en	technology-and-computing	robots llmsaihumans	emailphone	none
brukslogic.com ↗	66 match 1 shared topics	Bruk Belachew — Engineering leader, writer, builder	United States~ en	technology-and-computing	robots llmsaihumans	emailphone	none
kartikmpatel.net ↗	66 match 1 shared topics	Kartik Patel - Engineering Manager for High-Stakes Software	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kartikmpatel.com ↗	66 match 1 shared topics	Kartik Patel - Engineering Manager for High-Stakes Software	en	technology-and-computing	robotsllmsaihumans	emailphone	none
icon-map.com ↗	66 match 1 shared topics	Icon Map - Advanced Map Visuals for Power BI and Microsoft Fabric	en	technology-and-computing	robotsllmsaihumans	emailphone	none
davidcruz.uk ↗	66 match 1 shared topics	David Cruz Anaya \| Engineering Manager & Software Engineer	United Kingdom en	technology-and-computing	robotsllmsaihumans	emailphone	none
davidcruz.co.uk ↗	66 match 1 shared topics	David Cruz Anaya \| Engineering Manager & Software Engineer	United Kingdom en	technology-and-computing	robotsllmsaihumans	emailphone	none
lekanoyesunle.com ↗	66 match 1 shared topics	Olamilekan Oyesunle \| Backend & Data Engineer	Nigeria~ en	technology-and-computing	robotsllmsaihumans	email phone	none
kakr.dev ↗	66 match 1 shared topics	Retro Data Engineer Portfolio	en	technology-and-computing	robotsllmsaihumans	emailphone	none
7pm.dev ↗	66 match 1 shared topics	7pm.dev \| Engineering Leader	en	technology-and-computing	robots llmsaihumans	emailphone	none
altepeter.com ↗	66 match 1 shared topics	Jeremiah E. Altepeter \| Software Engineering Manager	United States~ 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.