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Christopher Brown — Engineering Leader · Customer Strategist — 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
1month-ai.dev ↗	72 match 1 shared topics	1Month — Engineering Leadership at AI-Era Velocity	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
kurspahic.com ↗	72 match 1 shared topics	Tarik Kurspahić — Engineering & Product Leader	United States~ en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
milleratx.com ↗	71 match 1 shared topics	Chris R Miller — Engineering Manager	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
charlierobbins.com ↗	71 match 1 shared topics	Charlie Robbins – Engineering leader & advisor	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
dougbradbury.com ↗	71 match 1 shared topics	Doug Bradbury - Engineering Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
baileymcintyre.com ↗	71 match 1 shared topics	Bailey McIntyre \| Engineering Leader	en	executive-leadership-and-management Squarespace Magento	robotsllmsaihumans	emailphone	none
dragigulevski.com ↗	70 match 1 shared topics	Executive Engineering Leader \| Dragi Gulevski	en	executive-leadership-and-management Wix	robots llmsaihumans	emailphone	none
mirellabatista.com ↗	70 match 1 shared topics	Mirella Batista \| Engineering Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
christianbrown.dev ↗	70 match 1 shared topics	Christian Brown - Engineering Manager - London, UK	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
kyledieruf.com ↗	70 match 1 shared topics	Kyle Dieruf \| Engineering Leader \| AI & Search	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
bajajnikhil.com ↗	70 match 1 shared topics	Nikhil Bajaj — Engineering leader. Novelist. Builder of worlds.	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
kylehauslaib.com ↗	69 match 1 shared topics	Kyle Hauslaib \| Scaled Agile & Engineering Leadership	Germany~ en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
yourtechbestie.com ↗	69 match 1 shared topics	Ash Coleman Hynie — Engineering Leader • People Systems Executive • Founder	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
robansuini.com ↗	69 match 1 shared topics	Roberto Ansuini - Engineering Leadership & Tools	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
christopherbnelson.com ↗	69 match 1 shared topics	Christopher Nelson \| UX & Product Design Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
robertclaus.com ↗	68 match 1 shared topics	Robert Claus - Engineering Leader & Builder	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	partial · 8
bahador1.com ↗	68 match 1 shared topics	Bahador Molavi — Operations & Engineering Leader	en	executive-leadership-and-management	robotsllmsaihumans	email phone	none
christophe-menard.com ↗	68 match 1 shared topics	Christophe Ménard — Executive Technology Sales Leader \| CCO · CRO · VP Sales	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.