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timbacktu - Tim Back — 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 Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
accession.app ↗	61 match 2 shared topics	Bolster - Remember what you read	en	education	robotsllmsaihumans	emailphone	none
dorkosdesk.com ↗	61 match 2 shared topics	Dorko's Desk – Essays and Thoughts from Barrett Dorko, PT	en	education WordPress	robotsllmsaihumans	emailphone	none
kymweed.com ↗	61 match 2 shared topics	Kym Weed, Ph.D. \| Teaching Assistant Professor, Co-Director of HHIVE Lab, and Associate Director of MA Concentration in Literature, Medicine, and Culture in the Department of English and Comparative Literature at the University of North Carolina at Chapel Hill	US~ en	education WordPress	robotsllmsaihumans	emailphone	none
paigebessick.com ↗	61 match 2 shared topics	Home - Paige Bessick - The Interactive Teacher	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
academicetextbook.com ↗	61 match 2 shared topics	AcademiceTextBook - Affordable eBooks & eTextbooks	US~ en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
1000wordphilosophy.com ↗	60 match 2 shared topics	1000-Word Philosophy: An Introductory Anthology – Philosophy, One Thousand Words at a Time	en	education WordPress	robots llmsaihumans	emailphone	none
doorcountyreads.org ↗	60 match 2 shared topics	Door County Reads	en	education Weebly	robotsllmsaihumans	emailphone	none
academicworldjournal.com ↗	60 match 2 shared topics	Academic World Journal of Humanities and Social Sciences	en	education	robotsllmsaihumans	emailphone	none
adizesbookstore.com ↗	60 match 2 shared topics	Adizes Institute Publications	en	education Shopify	robotsllmsaihumans	emailphone	none
fsnielsen.com ↗	60 match 2 shared topics	Homepage: Finn Sivert Nielsen - Translation, teaching, editing, (social, cultural) anthropology, russia, soviet union, america, usa	en	education	robotsllmsaihumans	emailphone	none
idiom-magic.com ↗	60 match 2 shared topics	Idiom-Magic - Want to know what A SNAKE-OIL MERCHANT is? Or AN OLD FUDDY-DUDDY? Would a TOP DOG ever JUMP A QUEUE? Are you wondering WHERE IDIOMS COME FROM? Click on Q&A (above). It's where you go to ask questions -- and get answers!	en	education	robotsllmsaihumans	emailphone	none
highlandlibrary.org ↗	60 match 2 shared topics	Highland Public Library in New York - Highland Public Library	en	education WordPress	robotsllmsaihumans	emailphone	none
adventuresinliteracyland.com ↗	60 match 2 shared topics	Adventures in Literacy Land	en	education	robotsllmsaihumans	emailphone	none
cindyscreativelearninglibrary.com ↗	60 match 2 shared topics	Creative Nonfiction \| Cindy’s Creative Learning Library	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
adobooks.com ↗	60 match 2 shared topics	Adobooks — Buy & Sell Medical Textbooks \| USMLE, PLAB & Clerkship Books	en	education WordPress	robotsllmsaihumans	emailphone	partial · 8
pakamdogo.com ↗	60 match 2 shared topics	PakaMdogo Press	en	education	robotsllmsaihumans	emailphone	none
id13project.com ↗	60 match 2 shared topics	ID13 Writing Project - Home	en	education Weebly	robotsllmsaihumans	emailphone	none
helenkellerstory.com ↗	60 match 2 shared topics	My Year With Helen Keller	en	education 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.