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77match
julianajara.com
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1 co-citations2 shared tech1 shared categorydesign
77match
jaclynalili.com
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1 co-citations2 shared tech1 shared categorydesign
77match
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1 co-citations2 shared tech1 shared categorydesign
77match
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1 co-citations2 shared tech1 shared categorydesign
77match
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1 co-citations2 shared tech1 shared categorydesign
77match
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1 co-citations2 shared tech1 shared categorydesign
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1 co-citations2 shared tech1 shared categorydesign
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1 co-citations2 shared tech1 shared categorydesign
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1 co-citations2 shared tech1 shared categorydesign
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1 co-citations2 shared tech1 shared categorydesign
70match
baidakov.com
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1 co-citations2 shared tech1 shared categorydesign
69match
jm-da.com
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1 co-citations2 shared tech1 shared categorydesign
67match
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1 co-citations2 shared tech1 shared categorydesign
62match
jenniferborton.com
Jenn Borton
1 co-citations2 shared tech1 shared categorydesign
62match
jennborton.com
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1 co-citations2 shared tech1 shared categorydesign
62match
julianooteboom.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.