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65match
5baz.com
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0 co-citations1 shared tech1 shared categoryart-and-photography
51match
craigatallahfrost.com
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50match
larissariahi.com
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50match
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50match
jimleonardson.com
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0 co-citations1 shared tech1 shared categoryart-and-photography
50match
joanahintze.com
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0 co-citations1 shared tech1 shared categoryart-and-photography
50match
hamhleypa.com
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0 co-citations1 shared tech1 shared categoryart-and-photography
50match
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50match
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50match
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50match
mariakvitan.com
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0 co-citations1 shared tech1 shared categoryart-and-photography
45match
banbhbooks.com
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0 co-citations1 shared tech0 shared categorybooks-and-literature
45match
gennigunn.com
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0 co-citations1 shared tech0 shared categorybooks-and-literature
35match
jenniferfroulaweber.com
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0 co-citations0 shared tech1 shared categoryart-and-photography
35match
joekonieczny.com
Joe Konieczny Projects
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35match
joelcookart.com
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0 co-citations0 shared tech1 shared categoryart-and-photography
35match
joekulka.com
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0 co-citations0 shared tech1 shared categoryart-and-photography
35match
juliannemayes.com
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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.