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Ebe — African Reading Community | Track Books, Earn Book Points, Join Reading Rooms — 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 Books And Literature →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
1book.org ↗	68 match 1 shared topics	One Book, One Community - Home	en	books-and-literature Weebly	robotsllmsaihumans	emailphone	none
sylviadrakesbooks.com ↗	67 match 1 shared topics	Sylvia Drake's Books – Brewing up coffee, books, and community!	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
lunareadingtracker.com ↗	67 match 1 shared topics	Luna Reading Tracker	en	books-and-literature	robotsllmsaihumans	emailphone	none
a11ybookclub.com ↗	66 match 1 shared topics	Accessibility Book Club \| Knowledge Shared through Books & Community	en	books-and-literature	robotsllmsaihumans	emailphone	none
4everyoungadultbooktalks.com ↗	66 match 1 shared topics	Forever Young Adult Booktalks \| Reading for Fun, Reading for Life	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
ayikwa.com ↗	66 match 1 shared topics	Ayikwa \| African Children's Books — Nigerian Stories, Series & More	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
drgregbooks.com ↗	66 match 1 shared topics	The Audacity of Friendship: Finding Community in the Age of Isolation	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aboutabook.app ↗	66 match 1 shared topics	About a Book — love the next book you read	en	books-and-literature	robotsllmsaihumans	emailphone	partial · 8
featherwielders.com ↗	66 match 1 shared topics	Feather Wielders \| Book-Enthusiasts Community	en	books-and-literature	robotsllmsaihumans	emailphone	none
designreadinglist.com ↗	66 match 1 shared topics	Design Reading List – Recommended reading for the care and feeding of a creative brain.	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jolabokaflod.com ↗	66 match 1 shared topics	Jolabokaflod \| Christmas Book Flood \| Recommending reading	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
susanmatherbarone.com ↗	66 match 1 shared topics	The Waiting Room – An alternate reading room	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
drawthepictures.com ↗	66 match 1 shared topics	This Is My Book Series - Read, Learn & Draw Activity Books	en	books-and-literature	robotsllmsaihumans	emailphone	none
100daysreading.com ↗	66 match 1 shared topics	100 Days of Reading – Inspiring a love for reading	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
100mustreads.com ↗	66 match 1 shared topics	100 Must Reads \| The Ultimate Book Collection	en	books-and-literature	robotsllmsaihumans	emailphone	none
lucypick.com ↗	66 match 1 shared topics	LUCY PICK BOOKS — Reading and Writing History and Fiction (and sometimes food)	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
lumireading.com ↗	66 match 1 shared topics	Lumi's Reading World - Interactive Books for Children	en	books-and-literature	robotsllmsaihumans	emailphone	none
cslewisbookclub.com ↗	65 match 1 shared topics	C. S. Lewis book club – Reading and discussing 12 C.S. Lewis books in a year	en	books-and-literature 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.