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Igor Kapkov - Founder, Advisory CTO, Speaker, 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 Executive Leadership And Management →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
sethwebster.com ↗	62 match 2 shared topics	Seth Webster — Engineering Executive & React Foundation Executive Director	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
iainmorton.me ↗	61 match 2 shared topics	Iain Morton — Head of Engineering · CTO	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mikaeldanielian.com ↗	61 match 2 shared topics	Engineering Leader & Software Architect	en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
mikadanielyan.com ↗	61 match 2 shared topics	Engineering Leader & Software Architect	en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
goodjobsoftware.ca ↗	61 match 2 shared topics	Josh Reynolds	Canada en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
guilhermefroes.com ↗	60 match 2 shared topics	Gui Froes – Becoming a better developer	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
5whys.com ↗	60 match 2 shared topics	5 Whys	en	executive-leadership-and-management Squarespace	robotsllmsaihumans	emailphone	none
pierremary.com ↗	60 match 2 shared topics	Engineering OS	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
meetashwin.net ↗	41 match 2 shared topics	Meet Ashwin \| Helping Engineers To Become Tech Leaders	en	executive-leadership-and-management WordPress Gumroad	robots llmsaihumans	emailphone	none
damg.uk ↗	41 match 2 shared topics	Daniel A Matthews-Grout \| Solutions Engineering & Architecture Leader	United Kingdom en	technology-industry	robotsllmsaihumans	emailphone	none
shaelynotikor.com ↗	37 match 1 shared topics	Shaelyn Otikor-Miller, Executive. Founder. Speaker.	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
karissathomas.com ↗	37 match 1 shared topics	Dr. Karissa Thomas \| Keynote Speaker, Author & Founder of The Mosaic Way™	en	executive-leadership-and-management Spree Commerce	robotsllmsaihumans	emailphone	none
shagility.com ↗	37 match 1 shared topics	Shane Gibson \| AgileData Coach, Chief Product Officer, Founder, Podcaster, Speaker, Modern Data Architect	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
eladdrorglobal.com ↗	37 match 1 shared topics	Elad Dror \| Executive Coach, Mentor & Fortera Founder	en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
iainwhitecreativeleadership.com ↗	36 match 1 shared topics	Leader, Educator, Trainer, Speaker	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
mikedee.com ↗	36 match 1 shared topics	Mike Dee - CEO at Playstack, YouTuber, Speaker, Coach	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
ohioleadership.org ↗	36 match 1 shared topics	Ohio Leadership Advisory Council	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mikenova.com ↗	36 match 1 shared topics	Mike Nova: Speaker, Author & CEO	en	executive-leadership-and-management WordPress WooCommerce	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.