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Alexandros Chiotis — What have I done.. — 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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karlalhw.com 66 match
1 shared topics
Karla Leung — Web3 Developer en web-development robotsllmsaihumans emailphone none
mikemelchior.com 66 match
1 shared topics
Mike Melchior — Full-stack developer en web-development robotsllmsaihumans emailphone none
sertackahraman.com 66 match
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Sertaç Kahraman — Portfolio en web-development robotsllmsaihumans emailphone none
4dmu.dev 66 match
1 shared topics
4Dmu — Full-Stack Developer en web-development robotsllmsaihumans emailphone none
gs-rumana.com 65 match
1 shared topics
Gursahb Singh — Full Stack Developer en web-development robotsllmsaihumans emailphone partial · 8
2codesolutions.tech 65 match
1 shared topics
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tuanhoang.dev 65 match
1 shared topics
Tuan Hoang — Indie App Developer en web-development robotsllmsaihumans emailphone none
rauh.dev 65 match
1 shared topics
rauh.dev — Mobile & web development en web-development robotsllmsaihumans emailphone none
mcvee.org 65 match
1 shared topics
McVee — Web Developer & Builder en web-development robotsllmsaihumans emailphone none
curtisbridges.net 65 match
1 shared topics
Curtis Bridges — Curtis Bridges Homepage en web-development robotsllmsaihumans emailphone none
curtisbridges.com 65 match
1 shared topics
Curtis Bridges — Curtis Bridges Homepage en web-development robotsllmsaihumans emailphone none
mdinzamam.dev 65 match
1 shared topics
Md Inzamam — Full Stack Developer en web-development robotsllmsaihumans emailphone none
tsalikidis.dev 65 match
1 shared topics
Kostas Tsalikidis — FullStack Web Developer en web-development robotsllmsaihumans emailphone none
egaliyando.com 65 match
1 shared topics
Ega Liyando — 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.