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BJM|Benjamin Jacob Mmari — 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
mbuck.org ↗	60 match 2 shared topics	Michael Buck \| Strategic Technology Leader \| Kennett Square, PA	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mccune.dev ↗	60 match 2 shared topics	Brian McCune - Technology Leader \| Brian McCune	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mckinlay.io ↗	60 match 2 shared topics	Mark McKinlay \| Group CTO & Enterprise Transformation Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mcwherter.net ↗	60 match 2 shared topics	Jeff McWherter	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
valletech.eu ↗	60 match 2 shared topics	Valletech	European Union en	technology-industry	robotsllmsaihumans	emailphone	none
lakshmipriyagopalsamy.com ↗	60 match 2 shared topics	Lakshmi Priya Gopalsamy – This portfolio highlights my work across software engineering, technology leadership, and enterprise architecture, along with insights that empower growth at home and at work through resilience, curiosity, and authentic collaboration. Empower emerging leaders.	en	technology-industry WordPress	robotsllmsaihumans	emailphone	none
deanadkins.co.uk ↗	60 match 2 shared topics	Dean Adkins \| Technology, Data & Digital Leader	United Kingdom en	technology-industry	robotsllmsaihumans	email phone	none
dmatch.co.uk ↗	60 match 2 shared topics	Dmatch \| The Hub for Tech Pros	United Kingdom en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2arrows.dev ↗	60 match 2 shared topics	Technology Leadership in your Business \| 2Arrows	en	technology-industry	robotsllmsaihumans	emailphone	none
2arrows.tech ↗	60 match 2 shared topics	Technology Leadership in your Business \| 2Arrows	en	technology-industry	robotsllmsaihumans	emailphone	none
bahadiraktan.com ↗	60 match 2 shared topics	Bahadır Aktan - Award-Winning Global Tech Leader and Innovator, CEO and Board Member \| Bahadır Aktan	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
coreyterrell.com ↗	60 match 2 shared topics	Corey Terrell	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
coreycoto.com ↗	60 match 2 shared topics	Corey Coto \| The Official Website of Corey Coto	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
femaleproductlead.com ↗	60 match 2 shared topics	Empower Women in Tech: Join Our Community \| femaleproductlead	en	technology-industry	robotsllmsaihumans	emailphone	none
imrankasam.com ↗	60 match 2 shared topics	Imran Kasam \| Product-Minded Technology Executive & CTO	United States~ en	technology-industry	robotsllmsaihumans	emailphone	none
inamespace.com ↗	60 match 2 shared topics	Issa Qandil - Senior Program Manager \| Digital Transformation Expert	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
samkawsarani.com ↗	60 match 2 shared topics	Sam Kawsarani — Product Leader & Builder	en	executive-leadership-and-management	robots llmsaihumans	emailphone	partial · 8
samitkumar.com ↗	60 match 2 shared topics	Samit Kumar – Technical Project Manager	en	executive-leadership-and-management	robotsllmsaihumans	email phone	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.