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About Socialmatch | Socialmatch · ranked by category · tech stack · backlink co-citation
29match
gram-coach.com
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0 co-citations5 shared tech1 shared categorysocial-networking
28match
sukimatch.com
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info-kirari.com
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28match
jintahideko.com
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27match
sukirun.com
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0 co-citations3 shared tech1 shared categorysocial-networking
27match
annsuta-matome.com
あんスタまとめ.com
0 co-citations4 shared tech1 shared categorysocial-networking
27match
doodle-comm.com
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0 co-citations4 shared tech1 shared categorysocial-networking
26match
nixyusu.com
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0 co-citations3 shared tech1 shared categorysocial-networking
26match
douga-ondemand.com
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0 co-citations3 shared tech1 shared categorysocial-networking
26match
buzz-insta.com
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0 co-citations4 shared tech1 shared categorysocial-networking
26match
byokinikki.com
diary
0 co-citations4 shared tech1 shared categorysocial-networking
26match
aya-sns.com
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0 co-citations3 shared tech1 shared categorysocial-networking
26match
fire-ouen.com
My BLOG(SAMPLE)|
0 co-citations3 shared tech1 shared categorysocial-networking
26match
ra-labonote.com
My BLOG(SAMPLE)|
0 co-citations3 shared tech1 shared categorysocial-networking
26match
bunbundou.com
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0 co-citations3 shared tech1 shared categorysocial-networking
25match
influ-xer.com
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0 co-citations2 shared tech1 shared categorysocial-networking
25match
sun3c-room.com
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busifuel.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.