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Fabio Bergmann - Desenvolvedor Full Stack & Instrutor — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Web Development →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
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1 shared topics
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1 shared topics
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1 shared topics
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fabiolillman.com 68 match
1 shared topics
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katochakhil.com 68 match
1 shared topics
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1 shared topics
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hermanliu.com 68 match
1 shared topics
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omersb.com 68 match
1 shared topics
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omosa.dev 68 match
1 shared topics
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vishal88.com 68 match
1 shared topics
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annappagowda.com 68 match
1 shared topics
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darshanhari.com 68 match
1 shared topics
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heyarda.dev 68 match
1 shared topics
arda — Full Stack Developer en web-development robotsllmsaihumans emailphone partial · 8
esportsjobs.com 68 match
1 shared topics
Tim Brugman - Full Stack WordPress developer en web-developmentWordPress robotsllmsaihumans emailphone none
vipulworks.com 68 match
1 shared topics
Vipul Singh - Full Stack Engineer India~ en web-developmentSpree Commerce robotsllmsaihumans emailphone none
danielbogale.com 68 match
1 shared topics
Daniel Bogale | Full Stack Developer en web-development robotsllmsaihumans emailphone none

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.