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85match
juliajanewilkins.com
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1 co-citations4 shared tech1 shared categorybooks-and-literature
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malayalipedia.com
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manorofgraves.com
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1 co-citations2 shared tech1 shared categoryfiction
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janprins.com
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85match
hayleyvittorini.com
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85match
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1 co-citations4 shared tech1 shared categoryfiction
85match
bostinkin.com
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1 co-citations2 shared tech1 shared categorybooks-and-literature
85match
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1 co-citations2 shared tech1 shared categorybooks-and-literature
82match
eleanorcameron.com
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80match
jasondpaul.com
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1 co-citations4 shared tech0 shared categorypoetry
80match
bcathens.com
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1 co-citations4 shared tech0 shared categorybooks-and-literature
80match
baliartguide.com
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1 co-citations4 shared tech0 shared categoryart-and-photography
80match
bookswineandi.com
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1 co-citations4 shared tech0 shared categorybooks-and-literature
74match
aperezbreton.com
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1 co-citations4 shared tech0 shared categoryart-and-photography
70match
joemayall.com
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1 co-citations2 shared tech1 shared categorybooks-and-literature
70match
juliaromeroauthor.com
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1 co-citations2 shared tech1 shared categoryfiction
70match
jacobhulseyauthor.com
Jacob Hulsey Author
1 co-citations2 shared tech1 shared categorybooks-and-literature
70match
janeenippolito.com
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1 co-citations2 shared tech1 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.