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58match
ammprint.com
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3 co-citations1 shared tech2 shared categorydesign
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3 co-citations2 shared tech1 shared categorydesign
48match
blackolivedesign.com
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48match
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suitinternational.com
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44match
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3 co-citations2 shared tech2 shared categorydesign
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42match
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42match
debasmita.com
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3 co-citations0 shared tech1 shared categorydesign
42match
quiubolestudio.com
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4 co-citations2 shared tech1 shared categorydesign
42match
dcreats.com
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42match
dookhpress.com
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3 co-citations2 shared tech2 shared categorydesign
41match
blakebork.com
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2 co-citations1 shared tech1 shared categorydesign
41match
ajzcorp.com
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0 co-citations1 shared tech2 shared categorydesign

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.