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85match
emiwhite.com
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2 shared topicsbooks-and-literature
85match
annapiazzascrittrice.com
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2 shared topicsbooks-and-literature
85match
antoniobocchi.com
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2 shared topicsbooks-and-literature
85match
harmonyonline.it 🇮🇹
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2 shared topicsbooks-and-literature
65match
favoledellabuonanotte.it 🇮🇹
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2 shared topicsbooks-and-literature
64match
abeditore.com
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2 shared topicsbooks-and-literature
63match
andreabressan.it 🇮🇹
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2 shared topicsbooks-and-literature
62match
persephonedizioni.it 🇮🇹
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2 shared topicsbooks-and-literature
62match
albe-edizioni.com
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62match
filibertobruno.com
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61match
studiomirai.com
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60match
albertobuchi.com
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2 shared topicsfiction
60match
albertocamerra.com
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2 shared topicsbooks-and-literature
60match
albertoumbrella.com
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2 shared topicsfiction
60match
alcapress.com
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2 shared topicsbooks-and-literature
60match
aldogritti.com
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2 shared topicsbooks-and-literature
60match
dbguevara.com
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60match
deanlucas.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.