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31match
2dcomputer.com
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0 co-citations4 shared tech1 shared categoryit-and-internet-support
29match
abcdesignstudio.it 🇮🇹
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24match
3dmediadesign.it 🇮🇹
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fibernetservices.com
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appink.it 🇮🇹
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1 co-citations2 shared tech0 shared categorysoftware-and-applications
23match
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giovannitigliani.it 🇮🇹
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23match
softwarepolice.it 🇮🇹
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0 co-citations4 shared tech0 shared categorysoftware-and-applications
23match
studiolegalebroli.it 🇮🇹
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0 co-citations4 shared tech0 shared categoryweb-development
22match
ab-cons.it 🇮🇹
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0 co-citations5 shared tech0 shared categoryit-and-internet-support
22match
mb2studio.it 🇮🇹
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0 co-citations4 shared tech0 shared categoryweb-design-and-html
22match
start-app.it 🇮🇹
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0 co-citations4 shared tech0 shared categorysoftware-and-applications
22match
studiolegalecaldarola.it 🇮🇹
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0 co-citations4 shared tech0 shared categoryweb-development
22match
agdataservice.it 🇮🇹
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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.