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Resume - Stanimir Nikolov — 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
donyerichardson.com 66 match
2 shared topics
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2 shared topics
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davebir.ch 65 match
2 shared topics
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ankurpatel.dev 64 match
2 shared topics
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dantenardo.com 64 match
2 shared topics
Dante | Resume en web-development robotsllmsaihumans emailphone none
dantenardo.dev 64 match
2 shared topics
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davegorski.com 64 match
2 shared topics
Dave Gorski - Resume en web-development robotsllmsaihumans emailphone none
medinag.com 64 match
2 shared topics
Guido Medina — Resume & Portfolio en web-development robotsllmsaihumans emailphone none
hstevemcdonald.me 64 match
2 shared topics
Harold Steve McDonald - Resume & Portfolio en web-development robotsllmsaihumans emailphone none
codev.uk 64 match
2 shared topics
Marc Sutton - Resume - Cross-disciplinary Systems Engineer United Kingdom en web-development robotsllmsaihumans emailphone none
faizanshaikh.com 64 match
2 shared topics
Faizan Shaikh - Resume en web-development robotsllmsaihumans emailphone none
mazentaha.com 64 match
2 shared topics
Mazen Taha – Resume en web-developmentWordPress robotsllmsaihumans emailphone none
danieltiecher.com 64 match
2 shared topics
Daniel Tiecher's Resume en web-development robotsllmsaihumans emailphone none
darioft.com 64 match
2 shared topics
Dario Fernandez Torre | Resume & Blog en web-development robotsllmsaihumans emailphone none
hemansh.com 64 match
2 shared topics
Hemansh Bhatia's Resume en web-development robotsllmsaihumans emailphone none
repugraf.com 63 match
2 shared topics
Serhii Mamedov — Resume en web-development robotsllmsaihumans emailphone none
danjiezhou.com 63 match
2 shared topics
Full-Stack Developer Resume 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.