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80match
4realtires.com
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1 co-citations3 shared tech0 shared categorytechnology-and-computing
80match
anyvidsolutions.com
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matiasvarela.com
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75match
makennareilly.com
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1 co-citations2 shared tech1 shared categoryrobotics
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75match
jemucino.com
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aquairyx.com
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1 co-citations2 shared tech1 shared categoryrobotics
75match
celiafoster.com
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75match
eknova.com
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75match
fierobotics.com
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70match
jennanimations.com
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1 co-citations2 shared tech0 shared categorycomputer-animation
70match
julianflores.com
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1 co-citations2 shared tech0 shared categorytechnology-and-computing
70match
kamranshah.com
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kanehrootz.com
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1 co-citations2 shared tech0 shared categorytechnology-and-computing

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.