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77match
elasturm-vocalcoach.com
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4 co-citations5 shared tech1 shared categorymusic
68match
ela-rocks.com
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3 co-citations5 shared tech1 shared categorymusic
66match
affentanzmusic.com
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4 co-citations5 shared tech1 shared categorymusic
65match
jannyotto.com
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5 co-citations5 shared tech1 shared categorymusic
59match
underpressure-tribute.de 🇩🇪
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1 co-citations5 shared tech1 shared categorymusic
55match
musik-und-showband.de 🇩🇪
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2 co-citations5 shared tech1 shared categorymusic
54match
diezipfelbuben.com
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4 co-citations5 shared tech1 shared categorymusic
54match
appletiniband.com
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1 co-citations5 shared tech1 shared categorymusic
53match
campmarshallmusic.com
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3 co-citations5 shared tech1 shared categoryrock-music
53match
cosmo-cat.com
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3 co-citations5 shared tech1 shared categorymusic
52match
georgiechapple.com
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3 co-citations5 shared tech1 shared categorymusic
52match
heyphia.com
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3 co-citations5 shared tech1 shared categorymusic
52match
gengvej.com
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3 co-citations5 shared tech1 shared categorymusic
50match
greendeserttree.com
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3 co-citations1 shared tech1 shared categorymusic
48match
marcolivera.com
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1 co-citations5 shared tech1 shared categorymusic
46match
bon-jour.io
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6 co-citations2 shared tech1 shared categoryalternative-music
45match
friday-forever.de 🇩🇪
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2 co-citations5 shared tech0 shared categoryrock-music
45match
2morrowsync.com
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0 co-citations5 shared tech1 shared categorymusic

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.