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55match
hestoncontracting.com
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0 co-citations1 shared tech1 shared categoryconstruction-industry
55match
baghdadgrp.com
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0 co-citations1 shared tech1 shared categoryconstruction-industry
55match
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0 co-citations1 shared tech1 shared categoryconstruction-industry
55match
dialaduct.com
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0 co-citations1 shared tech1 shared categorymanufacturing-industry
45match
kancaresupport.com
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0 co-citations1 shared tech0 shared categoryhealthcare-industry
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kensington-technology.com
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0 co-citations1 shared tech0 shared categorymechanical-and-industrial-engineering-industry
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maloneindustrial.com
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0 co-citations1 shared tech0 shared categorymanufacturing-industry
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mandh1.com
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0 co-citations1 shared tech0 shared categorymanagement-consulting-industry
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manoramainfotech.com
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0 co-citations1 shared tech0 shared categorybusiness-i-t
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iyes-solutions.com
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jifflox.com
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0 co-citations1 shared tech0 shared categorymanufacturing-industry
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jlvbookkeeping.com
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0 co-citations1 shared tech0 shared categorybusiness-accounting-and-finance
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jobnastics.com
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0 co-citations1 shared tech0 shared categoryhuman-resources
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hawthornewire.com
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0 co-citations1 shared tech0 shared categorymetals-industry
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hcbeales.com
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0 co-citations1 shared tech0 shared categoryagriculture
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hd-china.com
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0 co-citations1 shared tech0 shared categorymechanical-and-industrial-engineering-industry
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hex-engineering.com
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0 co-citations1 shared tech0 shared categorymechanical-and-industrial-engineering-industry

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.