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Valentin Bexa | Computer Science Student — 18 websites ranked by shared content topics, category and on-page relevance.

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DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
faisalsyedhashmi.com 72 match
2 shared topics
Home | Faisal Hashmi - Mathematics & Computer Science Student en programming-languages robotsllmsaihumans emailphone none
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dougturnbull.org 68 match
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Doug Turnbull – Professor of Computer Science at Ithaca College en programming-languagesWordPress robotsllmsaihumans emailphone none
viviersoft.com 66 match
2 shared topics
Valentin Vivier en technology-and-computing robotsllmsaihumans emailphone none
datasciencelives.com 66 match
2 shared topics
Data Science Lives en technology-and-computing robotsllmsaihumans emailphone none
cscrunch.com 66 match
2 shared topics
CS Crunch | The mad ramblings of a Computer Scientist bent on world domination... en programming-languagesDrupal robotsllmsaihumans emailphone none
ethanblake-computerscientist.com 65 match
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Ethan Blake - Computer Programming en programming-languages robotsllmsaihumans emailphone none
datascienceinfsharp.com 65 match
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datasciencefree.com 65 match
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omardabayeh.com 64 match
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Omar Dabayeh - Computer Engineer Professional en technology-and-computing robotsllmsaihumans emailphone none
antoniovalentini.com 64 match
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Home | Antonio Valentini en technology-and-computing robotsllmsaihumans emailphone none
eternalstudent.dev 64 match
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eternalStudent en programming-languages robotsllmsaihumans emailphone none
brittanyho.com 64 match
2 shared topics
Britt Ho - Computer Engineer - Programmer - Artist en programming-languagesWordPressWooCommerce robotsllmsaihumans emailphone none
evanschmidt.dev 64 match
2 shared topics
Evan Schmidt - CS Student & Developer en technology-and-computing robotsllmsaihumans emailphone none
baot1301.com 63 match
2 shared topics
Bao - Full-Stack Developer & CS Student Italy~ en programming-languages robotsllmsaihumans emailphone partial · 8
danielmayor.com 63 match
2 shared topics
Daniel Mayor - Blog about technology, computers, programming and geek stuff. en technology-and-computing robotsllmsaihumans emailphone partial · 8

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.