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Samir Damle - Resume — 18 websites ranked by shared content topics, category and on-page relevance.

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DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
josephawsresume.com 69 match
1 shared topics
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samuelcarlson.com 69 match
1 shared topics
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1 shared topics
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johnwood.dev 69 match
1 shared topics
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luisterrero.com 69 match
1 shared topics
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haseenasaleh.com 68 match
1 shared topics
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joseportugal.com 68 match
1 shared topics
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baranov.tech 68 match
1 shared topics
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bargiel.org 68 match
1 shared topics
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carolynroseanhalt.com 68 match
1 shared topics
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jorgealamilla.com 68 match
1 shared topics
Jorge Alamilla - Resume en careers robotsllmsaihumans emailphone none
lukaszsiwiec.com 68 match
1 shared topics
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crystallongman.com 68 match
1 shared topics
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barlock.io 68 match
1 shared topics
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jonyeow.com 68 match
1 shared topics
Jon's Resume en careers robotsllmsaihumans emailphone none
nathanielpropst.com 68 match
1 shared topics
Nathaniel Propst - Resume en careers robotsllmsaihumans emailphone none
samerzmd.com 68 match
1 shared topics
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hannahditto.com 68 match
1 shared topics
Hannah Ditto - Resume / CV 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.