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Darshan K - Product Design Lead — 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
dariiabondarenko.com 72 match
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1 shared topics
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1 shared topics
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1 shared topics
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1 shared topics
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bruno-serrano.com 65 match
1 shared topics
Bruno Serrano Trejo — Product Manager for Complex Systems in Switzerland en careers robotsllmsaihumans emailphone partial · 8
stassinari.com 65 match
1 shared topics
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aniket-ai.com 65 match
1 shared topics
Aniket Thakker | Product Engineer | Cleared Meta E4 Interview (Product SWE / Generalist) United States~ en careers robotsllmsaihumans emailphone none
elevateclientswebdesign.com 65 match
1 shared topics
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design-by-izo.com 65 match
1 shared topics
Why Tech Professionals are Flocking to Australia | Design By IZO Australia~ en careers robotsllmsaihumans emailphone partial · 1
anuarhage.com 65 match
1 shared topics
Anuar Hage — Senior Technical Project Analyst en careers robotsllmsaihumans emailphone none
omoleyeoluseye.com 65 match
1 shared topics
Omoleye Oluseye — Senior / Lead Software Engineer (Remote) en careers robotsllmsaihumans emailphone none
onlearningtoprogram.com 64 match
1 shared topics
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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.