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Jiju Johnson – Known for designing scalable operating systems and leading disciplined execution through people-first leadership. — 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
guilhermefroes.com ↗	62 match 2 shared topics	Gui Froes – Becoming a better developer	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
keithmazanec.com ↗	62 match 2 shared topics	Keith Mazanec \| Software Engineering Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mikaeldanielian.com ↗	62 match 2 shared topics	Engineering Leader & Software Architect	en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
mikadanielyan.com ↗	62 match 2 shared topics	Engineering Leader & Software Architect	en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
iainmorton.me ↗	61 match 2 shared topics	Iain Morton — Head of Engineering · CTO	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
pierremary.com ↗	60 match 2 shared topics	Engineering OS	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
5whys.com ↗	60 match 2 shared topics	5 Whys	en	executive-leadership-and-management Squarespace	robotsllmsaihumans	emailphone	none
kellanem.com ↗	60 match 2 shared topics	Kellan Elliott-McCrea \| Hello, world.	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
goodjobsoftware.ca ↗	60 match 2 shared topics	Josh Reynolds	Canada en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
damg.uk ↗	42 match 2 shared topics	Daniel A Matthews-Grout \| Solutions Engineering & Architecture Leader	United Kingdom en	technology-industry	robotsllmsaihumans	emailphone	none
meetashwin.net ↗	42 match 2 shared topics	Meet Ashwin \| Helping Engineers To Become Tech Leaders	en	executive-leadership-and-management WordPress Gumroad	robots llmsaihumans	emailphone	none
kelendaallenjames.com ↗	40 match 2 shared topics	Kelenda Allen-James	en	technology-industry	robotsllmsaihumans	emailphone	none
eiannewland.com ↗	36 match 1 shared topics	Eian Newland \| Learning Operations Leader and L&D Systems Builder	United States~ en	executive-leadership-and-management	robots llmsaihumans	emailphone	full · 12
humanpoweredengineering.com ↗	36 match 1 shared topics	Human-Powered Engineering — People-First Software Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
katrinavandopp.com ↗	36 match 1 shared topics	Katrina Van Dopp – Executive and Leadership Coaching	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	email phone	none
1upblueprint.com ↗	36 match 1 shared topics	1 Up Blueprint \| Operations Systems & Leadership Coaching	en	executive-leadership-and-management Squarespace Magento	robotsllmsaihumans	emailphone	none
ashleelane.com ↗	36 match 1 shared topics	Ashlee Lane — From Learning Systems to Product Leadership	en	executive-leadership-and-management	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.