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Be the product team that always has the answer | UXCam — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
uxcam.ai ↗	100 match 2 shared topics	Be the product team that always has the answer \| UXCam	en	artificial-intelligence	robots llmsaihumans	emailphone	none
demouxcam.com ↗	100 match 2 shared topics	Be the product team that always has the answer \| UXCam	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
a23one.com ↗	67 match 2 shared topics	a23 / product that builds	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
usertold.ai ↗	67 match 2 shared topics	Agentic user research for product teams \| UserTold.ai	en	artificial-intelligence	robots llmsaihumans	emailphone	none
usertold.com ↗	67 match 2 shared topics	Agentic user research for product teams \| UserTold.ai	en	artificial-intelligence	robots llmsaihumans	emailphone	none
zylver.com ↗	66 match 2 shared topics	Zylver - AI products for teams that outgrew experiments \| Zylver	US~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ferrerocarlo.com ↗	66 match 2 shared topics	AI-Native Product Engineer \| Carlo Ferrero	IT~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
joinbagelai.com ↗	65 match 2 shared topics	Bagel AI - Your Product Decision Partner \| The Autonomous Decision Layer for AI-Native Teams	US~ en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
sameproduct.com ↗	65 match 2 shared topics	Same Product	en	technology-and-computing	robotsllmsaihumans	emailphone	none
uptrail.ai ↗	65 match 2 shared topics	Uptrail \| AI Product Studio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
salvatan.com ↗	65 match 2 shared topics	Fabian Schmolck — Technical AI Product Lead	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
drewflaherty.dev ↗	65 match 2 shared topics	Drew Flaherty, HCI Researcher & Product Thinker	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
uservolley.com ↗	65 match 2 shared topics	UserVolley: announced at the Centercode Product AI Summit	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
joelduran.com ↗	65 match 2 shared topics	Joel Duran — AI Product Manager	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
avestahq.com ↗	65 match 2 shared topics	AI-Native Product Engineering \| Avesta HQ	en	artificial-intelligence	robots llmsaihumans	emailphone	none
naluhq.com ↗	65 match 2 shared topics	Nalu \| Product Engineering Agency	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
natnaele.com ↗	65 match 2 shared topics	Natnael Endale - Product Manager	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dillonrichardson.com ↗	65 match 2 shared topics	Dillon Richardson \| AI Product Builder	en	artificial-intelligence	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.