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55match
jenneroutpost.com
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55match
jeffsandino.com
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55match
bbdistro.com
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0 co-citations4 shared tech1 shared categoryfood-and-drink
55match
breakingbreadmovie.com
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55match
greenantprovidore.com
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0 co-citations4 shared tech1 shared categoryfood-and-drink
55match
baileysandouille.com
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55match
ballardbean.com
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0 co-citations4 shared tech1 shared categoryfood-and-drink
55match
bohemianbakeryvt.com
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55match
eldarwinelist.com
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0 co-citations4 shared tech1 shared categoryalcoholic-beverages
55match
finebagels.com
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51match
hayseedandhousdon.com
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0 co-citations4 shared tech2 shared categoryalcoholic-beverages
51match
jingarriguewine.com
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0 co-citations4 shared tech2 shared categoryalcoholic-beverages
49match
jj-meats.com
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0 co-citations4 shared tech1 shared categoryfood-and-drink
49match
box40hops.com
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0 co-citations4 shared tech1 shared categoryalcoholic-beverages
46match
hofws.com
HOFWS - Home 家
0 co-citations4 shared tech2 shared categoryalcoholic-beverages
45match
haulani.com
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0 co-citations4 shared tech0 shared categorydesserts-and-baking
45match
greenacreshudson.com
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0 co-citations4 shared tech0 shared categorydesserts-and-baking
45match
gulajawasweet.com
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0 co-citations4 shared tech1 shared categoryworld-cuisines

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.