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35match
hamcompc.com
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0 co-citations0 shared tech2 shared categoryit-and-internet-support
35match
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0 co-citations0 shared tech2 shared categorycomputer-networking
35match
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0 co-citations0 shared tech2 shared categoryit-and-internet-support
35match
9pointinnovations.com
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0 co-citations0 shared tech2 shared categorycomputer-networking
35match
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35match
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0 co-citations0 shared tech2 shared categoryit-and-internet-support
35match
bandgseed.com
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0 co-citations0 shared tech2 shared categoryit-and-internet-support
35match
bardellnetwork.com
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35match
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35match
cdjassociates.com
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0 co-citations0 shared tech2 shared categorycomputer-networking
35match
certifiedtech.net
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0 co-citations0 shared tech2 shared categoryit-and-internet-support
35match
coptechs.com
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0 co-citations0 shared tech2 shared categorycomputer-networking
35match
cordovacomputers.com
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0 co-citations0 shared tech2 shared categorycomputer-networking
35match
febtech.net
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0 co-citations0 shared tech2 shared categorycloud-computing
25match
julia-paige.com
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0 co-citations0 shared tech1 shared categoryit-and-internet-support
25match
kja-soft.com
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25match
lapidaire-projects.com
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25match
laptopservisnovisad.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.