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Vlad Goran | CV | Frontend Engineering — 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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2 shared topics
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2 shared topics
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vlasikhin.com 67 match
2 shared topics
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morgansegura.com 66 match
2 shared topics
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alexej-liebenthal.dev 66 match
2 shared topics
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alexbush.me 66 match
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devonwalker.dev 66 match
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alirezamashayekhi.tech 64 match
2 shared topics
Alireza Mashayekhi - Software Engineer en web-development robotsllmsaihumans emailphone none
aaronduke.co.uk 64 match
2 shared topics
Aaron Duke • Full-Stack Developer with a Frontend Focus United Kingdom en web-development robotsllmsaihumans emailphone none
vitormesquita.com 64 match
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dharmendra0107.tech 63 match
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DK | Portfolio – Software Developer | DevOps Engineer en web-development robotsllmsaihumans emailphone none
2mio.com 62 match
2 shared topics
Artem Poliukhovych | CV en web-development robotsllmsaihumans emailphone none
lamdinhtran.com 61 match
2 shared topics
Lam Tran Website en web-development robotsllmsaihumans emailphone none
cs19.dev 61 match
2 shared topics
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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.