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76match
nailinci.com
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3 co-citations4 shared tech1 shared categoryfood-and-drink
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hasikhushichai.com
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2 co-citations4 shared tech1 shared categoryfood-and-drink
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chandenterprise.com
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2 co-citations4 shared tech1 shared categoryfood-and-drink
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3 co-citations4 shared tech1 shared categoryfood-and-drink
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2 co-citations4 shared tech1 shared categoryfood-and-drink
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bakpiamanna.com
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3 co-citations4 shared tech2 shared categoryfood-and-drink
65match
balbademcafe.com
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2 co-citations4 shared tech1 shared categoryfood-and-drink
65match
chandigarhmeat.com
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65match
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balistreetfood.com
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1 co-citations4 shared tech1 shared categoryfood-and-drink
64match
boxofsugar.com
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boxofmithaas.com
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1 co-citations4 shared tech1 shared categoryfood-and-drink
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corgicop.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.