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Engineering the Future: Leadership Beyond Code — 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
miketineo.com ↗	73 match 1 shared topics	Miguel Tineo - Engineering Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
hydrax.org ↗	73 match 1 shared topics	HYDRAX_ · Daniel Kubitza · Engineering Leadership	en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
1month-ai.dev ↗	73 match 1 shared topics	1Month — Engineering Leadership at AI-Era Velocity	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mikaelkatmerian.com ↗	72 match 1 shared topics	Mikael Katmerian \| Engineering & Organizational Leader	Sweden~ en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
sfelc.com ↗	72 match 1 shared topics	ELC - Home for Engineering Leaders	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
ask-flux.com ↗	72 match 1 shared topics	Flux: code-first engineering intelligence for leaders	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
karthiksnarayanan.com ↗	72 match 1 shared topics	Engineering Leader \| Innovation & Strategy	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
petargusic.dev ↗	72 match 1 shared topics	Petar Gusić — Engineering leadership from the operator seat	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
draconis.co.uk ↗	72 match 1 shared topics	Draconis — Leadership Coaching for Engineers	United Kingdom en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
katiewilde.com ↗	71 match 1 shared topics	Katie Wilde - Engineering Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
reactivelabs.cloud ↗	71 match 1 shared topics	ReactiveLabs · Fractional Engineering Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
iamstefani.org ↗	71 match 1 shared topics	Executive Leadership Speaker & AI Strategist \| Lead the Future	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
shaik.dev ↗	71 match 1 shared topics	Omar Shaik \| Engineering && Leadership \| Early Engineer @ Apple Vision Pro	en	executive-leadership-and-management	robots llms ai humans	emailphone	none
mikepenninga.com ↗	71 match 1 shared topics	Home - The Leadership Lab with Mike Penninga	en	executive-leadership-and-management Joomla	robotsllmsaihumans	emailphone	partial · 8
randallshimkus.com ↗	70 match 1 shared topics	Randall Shimkus - Software Engineering Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
humanpoweredengineering.com ↗	70 match 1 shared topics	Human-Powered Engineering — People-First Software Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
efraimw.com ↗	70 match 1 shared topics	Efraim Wachsman \| Founder & Product Engineering Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
micheleherlein.com ↗	70 match 1 shared topics	Leadership Excellence & Culture Transformation \| Michele Herlein	en	executive-leadership-and-management WordPress	robots llmsaihumans	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.