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David Dane - Experienced Full Stack Developer — 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 Web Development →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
skasoft.dev 79 match
1 shared topics
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lnajib.com 78 match
1 shared topics
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3bdeljalil.com 78 match
1 shared topics
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naveedali.info 77 match
1 shared topics
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gavhart.com 77 match
1 shared topics
Gavin Hart | Full Stack Developer en web-development robotsllmsaihumans emailphone partial · 8
ekaitzbusto.dev 77 match
1 shared topics
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neeljivani.com 76 match
1 shared topics
Neel | Full Stack Developer en web-development robotsllmsaihumans emailphone none
austct.org 76 match
1 shared topics
Austin Chen Tsai - Full Stack Developer en web-development robotsllmsaihumans emailphone none
async-atharv.com 76 match
1 shared topics
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atalusan.com 76 match
1 shared topics
Talusan — Full Stack Software Developer en web-development robotsllmsaihumans emailphone none
csheen.app 76 match
1 shared topics
Christian Sheen — Full Stack Developer en web-development robotsllmsaihumans emailphone none
augustomorales.dev 76 match
1 shared topics
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navneet-singh.com 76 match
1 shared topics
Navneet Singh — Full Stack Developer en web-development robotsllmsaihumans emailphone none
0xjordan.dev 75 match
1 shared topics
0xJordan - Full Stack Developer en web-development robotsllmsaihumans emailphone none
ericmanike.tech 75 match
1 shared topics
Eric Manike Haare | Full-Stack Developer en web-development robotsllmsaihumans emailphone none
lmaicelo.com 75 match
1 shared topics
Leonardo Maicelo | Full Stack Developer en web-development robotsllmsaihumans emailphone none
naveedbutt.info 75 match
1 shared topics
Naveed Butt — Consultant Architect / Full Stack Developer en web-development robotsllmsaihumans emailphone none
sisocustom.com 75 match
1 shared topics
Basi Angulo - Full Stack Developer United States~ en web-development 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.