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100match
jmij.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
hashgasm.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
hashingout.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
hashnation.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
hexgram.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
houseofterra.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
bioadmin.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
biodisease.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
biodecoder.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
biocrime.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
advertmagic.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
bakelet.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
bakenom.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
boldshield.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
caviz.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
elcrafto.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
fijh.com
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9 co-citations4 shared tech2 shared categoryventure-capital
100match
generista.com
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9 co-citations4 shared tech2 shared categoryventure-capital

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.