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Books by Sequence · ranked by category · tech stack · backlink co-citation
37match
janehamiltonbooks.com
Home | Jane Hamilton
0 co-citations4 shared tech2 shared categoryfiction
37match
bookdot.app
Bookdot - Book Tracker & Reading Habit
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36match
kellerpublishinggroup.com
Keller Publishing Group | Home
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36match
kensmithauthor.com
Neoscion Studios | The Creative Echoverse
0 co-citations3 shared tech2 shared categoryfiction
36match
kensmithofficial.com
Neoscion Studios | The Creative Echoverse
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36match
2ransland.com
2RAN'S LAND
0 co-citations3 shared tech2 shared categoryfiction
36match
corehealthtechnologies.com
What Could Have Been
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36match
genaloftonofficial.com
Gena Lofton Author, Investor, Advocate | Official Site
0 co-citations3 shared tech2 shared categorybooks-and-literature
32match
mamouthenovel.com
Mamou the Novel - Book in Pensacola
0 co-citations3 shared tech2 shared categorybooks-and-literature
32match
jhnovels.com
Jackson & Hyman Novels | Book Publishing Studio
0 co-citations3 shared tech2 shared categorybooks-and-literature
32match
bookbookshop.com
Bookbookshop
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31match
jacob-rob.com
The Strange Separation of Jacob and Rob
0 co-citations3 shared tech2 shared categorybooks-and-literature
31match
3lostgirls.com
Three Lost Girls | Novelist and Storyteller in camas
0 co-citations3 shared tech2 shared categorybooks-and-literature
31match
aewilliamson.com
A.E. Williamson | Fiction & Historical Romance Author in California
0 co-citations3 shared tech2 shared categoryfiction
31match
ao3wiki.com
Fanfict Reader - The Best AO3 Reading App for iPhone
0 co-citations3 shared tech2 shared categoryfiction
31match
arabellastorme.com
Arabella Storme — Author Page
0 co-citations3 shared tech2 shared categoryfiction
31match
bandbeatboutique.com
Scott Patterson Author
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31match
booksofelsewhere.com
The Books of Elsewhere by Jacqueline West
0 co-citations2 shared tech3 shared categorybooks-and-literature

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:

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.