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Sites similar to andre-munzinger.com

Andre Munzinger alternatives & similar sites

André Munzinger — Product & Technology 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
frischmann.io ↗	76 match 2 shared topics	Lucas Frischmann - Technology & Product Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
alice.fyi ↗	76 match 2 shared topics	Ari Zhou - Product & Technology Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
benvedda.com ↗	74 match 2 shared topics	Ben Vedda — Digital Product & Technology Leader	en	executive-leadership-and-management	robotsllmsaihumans	email phone	none
2arrows.dev ↗	73 match 2 shared topics	Technology Leadership in your Business \| 2Arrows	en	technology-industry	robotsllmsaihumans	emailphone	none
2arrows.tech ↗	73 match 2 shared topics	Technology Leadership in your Business \| 2Arrows	en	technology-industry	robotsllmsaihumans	emailphone	none
zsstor.com ↗	73 match 2 shared topics	Zack Stor \| Technology Leadership & Strategy	en	technology-industry	robotsllmsaihumans	emailphone	none
mjconnection.com ↗	73 match 2 shared topics	Michael Johnson \| Technology Leadership & Advisory	en	technology-industry	robotsllmsaihumans	emailphone	none
m86.pro ↗	72 match 2 shared topics	Matthew Hill — Technology Leader · Product, Operations, AI Governance & AI Enablement	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
bengur.com ↗	72 match 2 shared topics	Adam Ben-Gur - Technology Leader & Innovator	en	technology-industry	robotsllmsaihumans	emailphone	none
teremarkcio.com ↗	72 match 2 shared topics	Technology Leadership on Demand - Teremark CIO	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mccune.dev ↗	72 match 2 shared topics	Brian McCune - Technology Leader \| Brian McCune	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
deborahfisk.com ↗	71 match 2 shared topics	deborahfisk – Leadership – Technology – Creativity	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
meltybrain.org ↗	71 match 2 shared topics	Trish Putnam – Technology Leadership	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
stevenjkozak.com ↗	71 match 2 shared topics	Steve Kozak: Product Experience & Technology Executive	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
adrianmoreno.info ↗	70 match 2 shared topics	Adrián Moreno Peña \| VP of Technology @ Worksome ⸱ Product & Engineering Leader (Copenhagen)	en	executive-leadership-and-management Spree Commerce	robotsllmsaihumans	email phone	none
theciomogul.com ↗	70 match 2 shared topics	THE CIO MOGUL - Business & Technology Leadership Magazine \| CIO Profiles, Digital Transformation	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	partial · 8
akashshukla.org ↗	70 match 2 shared topics	Akash Shukla - Technology & Business Leader \| Akash Shukla	en	technology-industry	robotsllmsaihumans	emailphone	none
cyclespersecond.io ↗	70 match 2 shared topics	Adam Hertz – Technology Leader & High Impact Product Executive	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.