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Cinema Character · ranked by category · tech stack · backlink co-citation
67match
aftergags.com
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1 co-citations2 shared tech1 shared categorymovies
65match
copybass.com
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55match
diatheque.com
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1 co-citations0 shared tech1 shared categorymovies
52match
dexviewcinema.com
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0 co-citations3 shared tech1 shared categorymovies
50match
jenmurrayxo.com
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50match
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0 co-citations3 shared tech1 shared categorymovies
50match
kanikavora.com
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50match
mamsmith.com
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0 co-citations3 shared tech1 shared categorymovies
50match
itunatheatre.com
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0 co-citations3 shared tech1 shared categorymovies
50match
jacknielen.com
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0 co-citations3 shared tech1 shared categorymovies
50match
aenclub.com
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0 co-citations3 shared tech1 shared categorymovies
50match
alivialevie.com
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0 co-citations3 shared tech1 shared categorymovies
50match
bayviewentertainment.com
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0 co-citations3 shared tech1 shared categorymovies
50match
campmiles.com
Miles's SXSW: A DIY Zine
1 co-citations2 shared tech0 shared categorymusic
50match
adnflix.com
ADNFLIX — Watch Movies, Series & Anime
0 co-citations3 shared tech1 shared categorymovies
50match
aesthetesdigest.com
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0 co-citations3 shared tech1 shared categorymovies
50match
boxofficecollect.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.