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54match
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50match
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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
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0 co-citations1 shared tech1 shared categorymechanical-and-industrial-engineering-industry
50match
breakoutboard-usa.com
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50match
breakoutboards-usa.com
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afassay.com
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0 co-citations1 shared tech1 shared categorypower-and-energy-industry
50match
aplmec.com
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50match
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0 co-citations1 shared tech1 shared categorymechanical-and-industrial-engineering-industry
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dgsautomation.com
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0 co-citations1 shared tech1 shared categorymanufacturing-industry
50match
dialaduct.com
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0 co-citations1 shared tech1 shared categorymanufacturing-industry
50match
eliprointernational.com
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0 co-citations1 shared tech1 shared categorypower-and-energy-industry
45match
kanitpolengineering.com
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0 co-citations1 shared tech1 shared categorymechanical-and-industrial-engineering-industry
45match
kelcoindustrial.com
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0 co-citations1 shared tech1 shared categorymechanical-and-industrial-engineering-industry
45match
kelvinjo.com
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0 co-citations1 shared tech1 shared categorymechanical-and-industrial-engineering-industry
45match
hassensteindesign.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.