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85match
managementmindset.com
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1 co-citations4 shared tech1 shared categoryexecutive-leadership-and-management
85match
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85match
grctrainingonline.com
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85match
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85match
apprentra.com
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80match
julianolaran.com
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1 co-citations4 shared tech0 shared categorymarketing-and-advertising
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kykoglobal.com
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1 co-citations4 shared tech0 shared categoryventure-capital
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jackoboyle.com
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80match
jason-somerville.com
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1 co-citations4 shared tech0 shared categoryeconomy
80match
javiervillagra.com
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1 co-citations4 shared tech0 shared categorymanagement-consulting-industry
80match
jmaxenergy.com
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1 co-citations4 shared tech0 shared categorypower-and-energy-industry
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holasg.com
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1 co-citations4 shared tech0 shared categorybusiness
80match
aeolianinfo.com
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1 co-citations4 shared tech0 shared categorynon-profit-organizations

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.