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Resume - Daniel Kogeni — 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 Careers →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
doublehops.com 60 match
2 shared topics
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dallen.co.uk 38 match
1 shared topics
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1 shared topics
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danielhollands.co.uk 36 match
1 shared topics
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psyunix.com 36 match
1 shared topics
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dookie.dev 36 match
1 shared topics
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doriandinhxuan.com 35 match
1 shared topics
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siruvolu.com 35 match
1 shared topics
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crystallongman.com 35 match
1 shared topics
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crimmer.co.uk 34 match
1 shared topics
Chris Rimmer United Kingdom en careers robotsllmsaihumans emailphone none
neiltopia.com 34 match
1 shared topics
Neil Richardson's Resume – en careers robotsllmsaihumans emailphone none
inu8.com 34 match
1 shared topics
Josh LeVoir's Resume en careers robotsllmsaihumans emailphone none
mykazi.ai 34 match
1 shared topics
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castulocruz.com 34 match
1 shared topics
Castulo Cruz's Resume en careers robotsllmsaihumans emailphone none
douggalent.com 34 match
1 shared topics
Douglas Galent Resume en careers robotsllmsaihumans emailphone none
catlla.com 34 match
1 shared topics
Sergio Catlla - Resume en careers robotsllmsaihumans emailphone none
need-developers.com 34 match
1 shared topics
Hire Full-Time Developers Hong Kong - Developers on Demand en careersWordPress robotsllmsaihumans emailphone full · 10

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.