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어플런 · ranked by category · tech stack · backlink co-citation
30match
1minlab.com
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0 co-citations2 shared tech1 shared categoryeconomy
30match
4marky.com
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0 co-citations2 shared tech1 shared categoryeconomy
28match
heyvona.com
HEY! Vona - 오늘의 경제, 한 입에 | HEY! Vona
0 co-citations2 shared tech1 shared categoryeconomy
28match
festkim.com
전문적인 경제 인사이트 – 최신 경제 동향과 전문가 의견을 제공하는 정보 사이트
0 co-citations1 shared tech1 shared categoryeconomy
28match
miredaview.com
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0 co-citations2 shared tech1 shared categoryeconomy
26match
heykyong.com
KYONGS
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26match
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은은도도 별빛
0 co-citations1 shared tech1 shared categoryeconomy
26match
100billionairelucy.com
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0 co-citations1 shared tech1 shared categoryeconomy
25match
canadagyeongje.com
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24match
hanguknews.com
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0 co-citations1 shared tech1 shared categoryeconomy
23match
jjonku.com
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0 co-citations1 shared tech1 shared categoryeconomy
22match
2jobsin.com
경제복지나라
0 co-citations1 shared tech1 shared categoryeconomy
20match
healingeco.com
힐링경제 | 힐링코리아에 앞장섭니다
0 co-citations0 shared tech1 shared categoryeconomy
20match
bangsanview.com
K-방산 | 차근차근 알아가기
0 co-citations2 shared tech0 shared categorydefense-industry
20match
ekyung.com
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0 co-citations0 shared tech1 shared categoryeconomy
20match
germanej.com
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0 co-citations0 shared tech1 shared categoryeconomy
10match
jikguhub.com
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10match
jisohap.com
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0 co-citations2 shared tech0 shared categorybusiness-loans

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.