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Yogendra Sharma | Full Stack Developer Portfolio — 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 Programming Languages →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
vitikainenonni.com 82 match
2 shared topics
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spencermarx.com 78 match
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2 shared topics
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viveklokhande.com 78 match
2 shared topics
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ansh.one 78 match
2 shared topics
Ansh Sharma - Full Stack Developer | React & JavaScript Expert en web-development robotsllmsaihumans emailphone none
rohithpatel.com 77 match
2 shared topics
Rohith Uppunuthula | Full-Stack Developer en web-development robotsllmsaihumans emailphone none
m4rios.dev 76 match
2 shared topics
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aniket-jena.lol 75 match
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Aniket Jena | Full-Stack Developer en web-development robotsllmsaihumans emailphone none
1benw.com 75 match
2 shared topics
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aashishpokherel.info 75 match
2 shared topics
Aashish Pokherel | Software Developer Portfolio en web-development robotsllmsaihumans emailphone none
3dime.com 75 match
2 shared topics
Idriss - Backend Developer Portfolio en web-development robotsllmsaihumans emailphone none
ronaldzav.com 75 match
2 shared topics
Ronald Zavaleta — Full Stack Developer en web-development robotsllmsaihumans emailphone none
heitor-dev.com 75 match
2 shared topics
Heitor Silva - Full Stack Developer en web-development robotsllmsaihumans emailphone none
alikhs.com 74 match
2 shared topics
Ali Khademi Sullivan — Full Stack Developer en web-development robotsllmsaihumans emailphone none
mehmetcavdar.com 74 match
2 shared topics
Mehmet Çavdar | Full-Stack Developer en web-development robotsllmsaihumans emailphone none
vlad-ciocan.com 74 match
2 shared topics
Vlad Ciocan - Full Stack Developer en web-development robotsllmsaihumans emailphone none
ayushpandit.pro 73 match
2 shared topics
Ayush Kumar Pandit – Backend Developer Portfolio 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.