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Home | Data Science Ideas and Thoughts — 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
datascienceleadership.com ↗	69 match 1 shared topics	Data Science Leadership \| Data Science Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
faccendetti.com ↗	68 match 1 shared topics	Alessandro Faccendetti - Experiences and thoughts on leadership	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kenetete.com ↗	68 match 1 shared topics	Sharing my thoughts on change and leadership	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
danielkellem.com ↗	68 match 1 shared topics	Technostology – Thoughts and Reflections from Daniel Kellem	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
anuragmahanto.com ↗	67 match 1 shared topics	Anurag Mahanto — Thoughts	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
24hourbrief.net ↗	67 match 1 shared topics	24 Hour Brief - Ideas and intelligence for the next generation of leaders	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
danmarbes.com ↗	67 match 1 shared topics	Dan Marbes \| Thoughts on leadership and other random musings	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
danimedia.com ↗	67 match 1 shared topics	HOME \| Dani Media	en	executive-leadership-and-management Wix	robotsllmsaihumans	emailphone	none
kathleenalder.com ↗	66 match 1 shared topics	Kathleen Alder \| Thoughts and musings	en	executive-leadership-and-management Weebly	robotsllmsaihumans	emailphone	none
darrenowj.com ↗	66 match 1 shared topics	Darren \| Data Lead	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
facesfromspace.com ↗	66 match 1 shared topics	Faces from s p a c e – where ideas meet influence	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
data-product.com ↗	66 match 1 shared topics	Data & Products – Thoughts on product management, data & organizational efficiency	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
daniel-daily.com ↗	66 match 1 shared topics	Home \| Daniel Daily	en	executive-leadership-and-management Wix	robots llmsaihumans	emailphone	none
daniellejoneshunte.com ↗	65 match 1 shared topics	Home \| Danielle Jones-Hunte	en	executive-leadership-and-management Wix	robots llmsaihumans	emailphone	none
danihouston.com ↗	65 match 1 shared topics	Home \| Dani Houston \| Creative Lead	en	executive-leadership-and-management Wix	robots llmsaihumans	emailphone	none
a-thoughtful-word.com ↗	65 match 1 shared topics	A thoughtful word	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
ep-ramblers.com ↗	65 match 1 shared topics	Home \| EP Ramblers	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
virtualpatrick.com ↗	65 match 1 shared topics	Personal Blog of Patrick Sauerwein – Thoughts about life and Product Management. In love with humanity and technology.	en	executive-leadership-and-management WordPress	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.