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41match
bandongti.com
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41match
diekuhl.com
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40match
cce-miami.com
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40match
cp3ddesign.com
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40match
jmdevine.com
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0 co-citations5 shared tech2 shared categorymechanical-and-industrial-engineering-industry
40match
adnikseating.com
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0 co-citations3 shared tech2 shared categorymechanical-and-industrial-engineering-industry
40match
ccmachtool.com
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0 co-citations2 shared tech2 shared categorymanufacturing-industry
39match
kylarlaser.com
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0 co-citations2 shared tech2 shared categorymanufacturing-industry
39match
ccweldingsolutions.com
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0 co-citations5 shared tech2 shared categorymechanical-and-industrial-engineering-industry
38match
centecusa.com
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38match
centec-usa.com
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38match
hexcatintl.com
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0 co-citations2 shared tech2 shared categorymechanical-and-industrial-engineering-industry
38match
copperepc.com
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0 co-citations3 shared tech2 shared categorymechanical-and-industrial-engineering-industry
38match
aptsystems.com
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38match
deweyengineering.com
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38match
automatedwiring.com
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0 co-citations3 shared tech2 shared categorymanufacturing-industry
38match
adv-laser.com
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geothermmea.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.