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Clark Thyng — 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 Resume Writing And Advice →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
minarkarkhanis.com 71 match
2 shared topics
Minar Karkhanis en careers robotsllmsaihumans emailphone none
kurtfechosprofolio.com 62 match
2 shared topics
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adamculbertson.me 61 match
2 shared topics
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rjangelov.com 60 match
2 shared topics
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ballwebdev.com 60 match
2 shared topics
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rmnattas.com 60 match
2 shared topics
Abdulrahman Alattas en resume-writing-and-advice robotsllmsaihumans emailphone none
robinxia.com 60 match
2 shared topics
Robin Xia en resume-writing-and-advice robotsllmsaihumans emailphone none
rochezneal.com 60 match
2 shared topics
Rochez Neal | Professional Website en careers robotsllmsaihumans emailphone none
stivicanka.com 60 match
2 shared topics
Stivi Canka - Personal Website en resume-writing-and-advice robotsllmsaihumans emailphone none
robcottam.com 60 match
2 shared topics
Rob Cottam: Professional Portfolio Showcase | Rob Cottam en resume-writing-and-advice robotsllmsaihumans emailphone none
rohansankhe.com 60 match
2 shared topics
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hetmaniuk.net 60 match
2 shared topics
U. Hetmaniuk en resume-writing-and-advice robotsllmsaihumans emailphone none
hoangntv.com 60 match
2 shared topics
HoangNTV - Curriculum Vitae en careers robotsllmsaihumans emailphone none
cynarmistead.com 60 match
2 shared topics
Cyn Newman's Portfolio en resume-writing-and-adviceWordPress robotsllmsaihumans emailphone none
dongyanchen.com 60 match
2 shared topics
Dongyan Chen en careers robotsllmsaihumans emailphone none
earlfhowardjr.com 60 match
2 shared topics
Earl F. Howard Jr's Resume en resume-writing-and-advice robotsllmsaihumans emailphone partial · 8
1000resumes.com 60 match
2 shared topics
1000 Resumes en careersWordPress robotsllmsaihumans emailphone none
adamswanson.dev 60 match
2 shared topics
Adam Swanson en resume-writing-and-advice 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.