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62match
jason-somerville.com
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1 co-citations4 shared tech1 shared categoryeconomy
62match
jchoih.com
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1 co-citations4 shared tech1 shared categoryeconomy
62match
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62match
guillermovuletin.com
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advisaz.com
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1 co-citations4 shared tech1 shared categoryfinancial-industry
62match
fbrunamonti.com
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1 co-citations4 shared tech1 shared categoryeconomy
58match
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1 co-citations4 shared tech1 shared categoryeconomy
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hashichocapital.com
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58match
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bbregmi.com
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costanzatomaselli.com
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1 co-citations4 shared tech1 shared categoryeconomy
58match
federicohaslop.com
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58match
matiasmarzani.com
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56match
federicolubello.com
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1 co-citations4 shared tech1 shared categoryeconomy
53match
bioagrifood.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.