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100match
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1 co-citations1 shared tech1 shared categorybusiness
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1 co-citations1 shared tech1 shared categorybusiness
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80match
mangalaum.com
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1 co-citations1 shared tech0 shared categorymechanical-and-industrial-engineering-industry
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1 co-citations1 shared tech0 shared categorylogistics-and-transportation-industry
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baprecision.com
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1 co-citations1 shared tech0 shared categorymanufacturing-industry
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70match
greenova-corp.com
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1 co-citations0 shared tech1 shared categorybusiness
65match
joellexien.com
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0 co-citations1 shared tech1 shared categorybusiness
65match
keiyokobo.com
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kemittrade.com
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kenmoretrading.com
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iunveil.com
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0 co-citations1 shared tech1 shared categorybusiness
65match
iunleash.com
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0 co-citations1 shared tech1 shared categorybusiness
65match
jelly-code.com
Jellycode - Your trusted partner in effective business growth
1 co-citations1 shared tech0 shared categorymanagement-consulting-industry
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jjtak.com
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0 co-citations1 shared tech1 shared categorybusiness
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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.