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Rose Crisp - vCard / Resume / CV — 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
doriandinhxuan.com 67 match
1 shared topics
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gustavonovaro.com 67 match
1 shared topics
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jaydenw.dev 67 match
1 shared topics
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rjbeers.com 66 match
1 shared topics
RJ Beers - Resume en careers robotsllmsaihumans emailphone none
robertshade.com 66 match
1 shared topics
Robert Shade's Resume en careers robotsllmsaihumans emailphone none
mdownsresume.com 65 match
1 shared topics
Cloud Resume Challenge en careers robotsllmsaihumans emailphone none
nicpismiris.com.au 65 match
1 shared topics
Resume Australia en careers robotsllmsaihumans emailphone none
quangngo.net 64 match
1 shared topics
Quang Ngo - Resume en careers robotsllmsaihumans emailphone none
quangtt.dev 64 match
1 shared topics
Tran Thanh Quang - Mobile Developer Resume en careers robotsllmsaihumans emailphone none
bloomingtongarage.org 64 match
1 shared topics
2015 - Resume for Jason McLain en careers robotsllmsaihumans emailphone none
tupbebek-kisirlik.com 64 match
1 shared topics
2015 - Resume for Jason McLain en careers robotsllmsaihumans emailphone none
kyleberg.com 64 match
1 shared topics
Kyle Berg - Resume en careersWordPress robotsllmsaihumans emailphone none
antonzuykov.site 64 match
1 shared topics
Anton Zuykov's Resume en careers robotsllmsaihumans emailphone none
jaredpaolin.dev 64 match
1 shared topics
Jared Paolin - Resume en careers robotsllmsaihumans emailphone none
jeff-spencer.com 64 match
1 shared topics
Jeff Spencer - Resume en careers robotsllmsaihumans emailphone none
jeffreyspencer.com 64 match
1 shared topics
Jeff Spencer - Resume en careers robotsllmsaihumans emailphone none
brassils.com 64 match
1 shared topics
Resume - Paul Brassil United States~ en careers robotsllmsaihumans emailphone none
dookie.dev 64 match
1 shared topics
Bootstrap 4 Portfolio/Resume Theme for Developers en careers 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.