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Technostology – Thoughts and Reflections from Daniel Kellem — 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
virtualpatrick.com ↗	68 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
data2idm.com ↗	68 match 1 shared topics	Home \| Data Science Ideas and Thoughts	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
anuragmahanto.com ↗	67 match 1 shared topics	Anurag Mahanto — Thoughts	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
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
danielklipfel.com ↗	66 match 1 shared topics	Daniel Klipfel	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
kathleenalder.com ↗	66 match 1 shared topics	Kathleen Alder \| Thoughts and musings	en	executive-leadership-and-management Weebly	robotsllmsaihumans	emailphone	none
faccendetti.com ↗	66 match 1 shared topics	Alessandro Faccendetti - Experiences and thoughts on leadership	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
danielkemery.com ↗	65 match 1 shared topics	Daniel Kemery \| Notion	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
danielteweles.com ↗	65 match 1 shared topics	Daniel Teweles	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
kathleenli.com ↗	65 match 1 shared topics	Kathleen Li – Fruit for thoughts around leadership, music and life.	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
daniellejesky.com ↗	65 match 1 shared topics	Danielle Jesky – technical project manager	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
danielfiller.com ↗	65 match 1 shared topics	Daniel Filler	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mazur.ai ↗	65 match 1 shared topics	mazur.ai - Insights on technology, people and leadership	en	executive-leadership-and-management Ghost	robotsllmsaihumans	emailphone	none
remixcommunications.com ↗	65 match 1 shared topics	Remix Communications – Thought Leadership, Speaking Programs, Content	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
danieledwardwilson.com ↗	65 match 1 shared topics	Daniel Edward Wilson \| Writer, Technologist & Operations Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
danieldqf.com ↗	64 match 1 shared topics	Daniel Freitas	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
danielshue.com ↗	64 match 1 shared topics	👋 Welcome to Dan Shue's Digital Garden	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.