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Esat Akpunar | Frontend Engineer — 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
joaograca.dev 80 match
1 shared topics
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joaojesus.dev 80 match
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1 shared topics
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farouq.dev 78 match
1 shared topics
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fawazbailey.com 78 match
1 shared topics
Fawaz Bailey | Frontend Engineer en web-development robotsllmsaihumans emailphone none
bavithran.dev 78 match
1 shared topics
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joseparra.dev 78 match
1 shared topics
Jose Parra — Frontend Software Engineer en web-development robotsllmsaihumans emailphone none
navidkhan.com 78 match
1 shared topics
Navid Khan — Frontend Engineer en web-development robotsllmsaihumans emailphone none
favourchibueze.com 78 match
1 shared topics
Favour Chibueze | Frontend Engineer DE~ en web-development robotsllmsaihumans emailphone none
joshdevbox.com 77 match
1 shared topics
Josh White | Senior Frontend Engineer en web-development robotsllmsaihumans emailphone none
2iamthi.com 77 match
1 shared topics
Thi Nguyen | Frontend Engineer Portfolio en web-development robotsllmsaihumans emailphone none
ayoolasolomon.com 77 match
1 shared topics
Solomon Ayoola - Lead Frontend Engineer en web-development robotsllmsaihumans emailphone none
luisgomez.dev 77 match
1 shared topics
Luis Gómez | Frontend Engineer en web-development robotsllmsaihumans emailphone none
techin.co.uk 77 match
1 shared topics
Miguel Teixeira | Senior Frontend Engineer GB en web-development robotsllmsaihumans emailphone none
naumov.dev 76 match
1 shared topics
Naumov Sergey — Frontend Engineer en web-development robotsllmsaihumans emailphone none
devbymighty.com 75 match
1 shared topics
Wisdom Mighty Ochei | Frontend Engineer | React & Next.js Developer NG~ en web-developmentSanity robotsllmsaihumans emailphone none
jonathanpe.com 75 match
1 shared topics
Jonathan Pe - Senior Frontend Software Engineer 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.