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50match
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0 co-citations4 shared tech1 shared categorydesign
50match
feltron.com
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44match
hetco.io
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44match
5w-creative.com
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42match
keithwatanabe.com
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42match
jimisha.com
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0 co-citations3 shared tech1 shared categorydesign
42match
graphic-as.com
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0 co-citations3 shared tech1 shared categorydesign
42match
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0 co-citations3 shared tech1 shared categorydesign
42match
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42match
afetsiawoonor.com
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0 co-citations3 shared tech1 shared categorydesign
42match
bagnallmedia.com
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0 co-citations3 shared tech1 shared categorydesign
42match
bonellidesign.com
Bonelli Design | Visual Design & Strategy
0 co-citations3 shared tech1 shared categorydesign
42match
eleanorgossendesign.com
eleanor gossen design
0 co-citations3 shared tech1 shared categorydesign
42match
ferlengezlazer.com
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0 co-citations3 shared tech1 shared categorydesign
40match
jodrapery.com
J.O European Designs
0 co-citations4 shared tech1 shared categorydesign
40match
count2q.com
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0 co-citations4 shared tech1 shared categorydesign
40match
devierwijzen.com
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0 co-citations4 shared tech1 shared categorydesign
38match
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0 co-citations3 shared tech1 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.