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53match
jointventurelend.com
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51match
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jennifercoiley.com
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45match
kanaantex.com
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45match
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kenwendt.com
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45match
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0 co-citations4 shared tech0 shared categorymanagement-consulting-industry
45match
majaraglobal.com
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45match
maju-mapan.com
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0 co-citations4 shared tech0 shared categorymanufacturing-industry
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majiris.com
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0 co-citations4 shared tech0 shared categoryreal-estate-industry
45match
maksimumminimum.com
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0 co-citations4 shared tech0 shared categoryapparel-industry
45match
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45match
maltesetech.com
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manakaiconsulting.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.