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37match
mangoquiz.com
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0 co-citations4 shared tech1 shared categorygames-and-puzzles
28match
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24match
brainplayzone.com
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0 co-citations1 shared tech1 shared categorygames-and-puzzles
20match
hangbury.com
Hangbury
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20match
automataorgel.com
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0 co-citations0 shared tech1 shared categorygames-and-puzzles
20match
braingamezone.com
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0 co-citations0 shared tech1 shared categorygames-and-puzzles
20match
dibquiz.com
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15match
haneulkang.com
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15match
elbacorp.com
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0 co-citations3 shared tech0 shared categoryvideo-production
12match
maneground.com
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12match
hbjaws.com
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12match
1nsan.com
INSAN
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10match
kyolook.com
インフルエンサーコンテンツ生産 KYOLOOK
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10match
greyduction.com
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0 co-citations2 shared tech0 shared categoryvideo-production
9match
baek-a.com
BAEK-A STUDIO
0 co-citations2 shared tech0 shared categoryworkshops-and-classes
9match
diceroot.com
다이스루트(DiceRoot) — 모든 보드게임 프로젝트가 뿌리내리는 곳
0 co-citations2 shared tech0 shared categoryboard-games-and-puzzles
8match
mango-archive.com
Mango Archive – 피규어 정보 아카이브
0 co-citations1 shared tech0 shared categorymodel-toys
8match
heydrum.com
HeyDrum - 유튜브 드럼 연습
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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.