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Sites similar to stephen-thiessen.com

Stephen Thiessen alternatives & similar sites

Stephen Thiessen — Product Ops & Strategy Leader — 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
dmrcloud.com ↗	73 match 1 shared topics	Dave Coleman — Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
khetiwe.com ↗	72 match 1 shared topics	Khetiwe Richards — Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
dennisdeboer.com ↗	71 match 1 shared topics	Dennis de Boer — Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
fractional-product-leaders.com ↗	71 match 1 shared topics	Fractional Product Leaders	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
millyschmidt.me ↗	70 match 1 shared topics	Milly Schmidt — Product, design & research Management, leadership & strategy	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
abhishekgupta.cc ↗	70 match 1 shared topics	Abhishek Gupta \| Product Leader — Expedia, Google, ISB	en	executive-leadership-and-management	robotsllmsaihumans	email phone	none
dbenger.com ↗	70 match 1 shared topics	Dominik Benger \| Product & Analytics Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
deepakupreti.com ↗	70 match 1 shared topics	Deepak Upreti \| Senior Product Leader & AI Strategist	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
dentbydesign.com ↗	70 match 1 shared topics	Ariel Snapp — Product & Design Leadership \| Dent by Design	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mdavis.app ↗	70 match 1 shared topics	Mike Davis — Product Manager & Builder	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
morrismontgomery.com ↗	70 match 1 shared topics	MMLS \| Morris Montgomery Leadership & Strategy	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
accelerationagent.ai ↗	70 match 1 shared topics	Joy S Au — Strategy & Operations Executive	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
viveklakshminarayanan.com ↗	70 match 1 shared topics	Vivek Lakshminarayanan — Digital Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
melissastringer.ai ↗	70 match 1 shared topics	Melissa Stringer \| Global Product & Technology Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
dominic-simpson.com ↗	70 match 1 shared topics	Dominic Simpson — Product Owner	en	executive-leadership-and-management Lightspeed	robotsllmsaihumans	emailphone	none
morethanhuman.io ↗	70 match 1 shared topics	Karl Randay // Strategic Design Leadership, UX & Product Transformation	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
derekdarby.com ↗	70 match 1 shared topics	Derek Darby \| UX Strategy & Complex Product Design	en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
beaublinder.com ↗	70 match 1 shared topics	Beau Blinder \| 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.