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82match
marcrame.com
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1 co-citations1 shared tech1 shared categorymanufacturing-industry
65match
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1 co-citations1 shared tech0 shared categorymechanical-and-industrial-engineering-industry
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56match
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0 co-citations1 shared tech1 shared categorymanufacturing-industry
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maloneindustrial.com
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jifflox.com
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0 co-citations1 shared tech1 shared categorymanufacturing-industry
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hawthornewire.com
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0 co-citations1 shared tech1 shared categorymetals-industry
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0 co-citations1 shared tech1 shared categorymanufacturing-industry
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0 co-citations1 shared tech1 shared categorymechanical-and-industrial-engineering-industry
54match
dialaduct.com
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0 co-citations1 shared tech1 shared categorymanufacturing-industry
53match
aliuminatas.com
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0 co-citations1 shared tech1 shared categorymanufacturing-industry
53match
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0 co-citations1 shared tech1 shared categorymanufacturing-industry
53match
greyforgegroup.com
.:Home:.
0 co-citations1 shared tech1 shared categorymetals-industry
52match
jimargraf.com
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1 co-citations0 shared tech1 shared categorymanufacturing-industry
52match
appliedthermal.com
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52match
appplastics.com
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kandt.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.