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YuSeungjun — 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
pacey6.com 66 match
2 shared topics
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1benw.com 65 match
2 shared topics
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iamrahul.dev 65 match
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4amics.com 64 match
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iaquinto.dev 64 match
2 shared topics
Dev Blog | Joe Iaquinto en programming-languages robotsllmsaihumans emailphone none
robbiefronz.com 64 match
2 shared topics
Robert Fronczak Portfolio en web-development robotsllmsaihumans emailphone none
chautho.dev 64 match
2 shared topics
chautho.dev — Developer & Writer en web-development robotsllmsaihumans emailphone partial · 8
yuseirun.dev 64 match
2 shared topics
YuseiRun en web-development robotsllmsaihumans emailphone full · 11
kylecode.com 64 match
2 shared topics
Kyle Norris en web-development robotsllmsaihumans emailphone none
kylenorris.com 64 match
2 shared topics
Kyle Norris en web-development robotsllmsaihumans emailphone none
adzchappers.dev 64 match
2 shared topics
adzchappers.dev | adzchappers.dev en web-development robotsllmsaihumans emailphone none
hellmas.dev 64 match
2 shared topics
Murilo Fischer - Portfolio en web-development robotsllmsaihumans emailphone none
miroslavpopovic.com 64 match
2 shared topics
Miroslav Popovic en web-development robotsllmsaihumans emailphone none
robertvaccaro.com 64 match
2 shared topics
Robert Vaccaro en programming-languages robotsllmsaihumans emailphone none
kylemayes.com 64 match
2 shared topics
Kyle Mayes en web-development robotsllmsaihumans emailphone none
iamfredric.com 64 match
2 shared topics
Resources‚ articles and shenanigans for web developers | Fredrics cyberspace en web-development robotsllmsaihumans emailphone none
agst.dev 64 match
2 shared topics
Davi Augusto en web-development robotsllmsaihumans emailphone none
donnyburnside.com 63 match
2 shared topics
Donny Burnside 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.