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Home | Fernanda Neves · ranked by category · tech stack · backlink co-citation
63match
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1 co-citations3 shared tech1 shared categorywomen-s-fashion
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2 co-citations3 shared tech1 shared categorywomen-s-fashion
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1 co-citations3 shared tech1 shared categorywomen-s-fashion
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1 co-citations3 shared tech1 shared categorywomen-s-fashion
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Fernanda Ferrazza Modelista Estrategista de Produto e Coleção
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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.