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70match
360cabinets.com
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1 co-citations2 shared tech0 shared categoryweb-hosting
70match
ce4dental.com
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1 co-citations2 shared tech0 shared categoryweb-hosting
70match
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67match
kylegasser.com
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66match
grazelandsheep.com
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55match
aedificerex.com
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51match
hawaiianbreezehvac.com
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1 co-citations2 shared tech0 shared categoryweb-hosting
45match
janiebenie.com
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45match
bandgseed.com
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0 co-citations2 shared tech1 shared categoryit-and-internet-support
45match
baogoo.com
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0 co-citations2 shared tech1 shared categorycomputer-networking
45match
bonzbonz.com
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0 co-citations3 shared tech0 shared categorytechnology-and-computing
45match
cayanegroup.com
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0 co-citations3 shared tech0 shared categoryweb-hosting
43match
helpmytech.com
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0 co-citations3 shared tech1 shared categorycomputer-networking
42match
hitech-tv.net
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41match
hitservinc.com
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41match
cdmenterprises.net
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40match
hamcompc.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.