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Fernando Tuyo Bernal | 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
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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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1 shared topics
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1 shared topics
Gabriel Peral — Full Stack Developer ES~ es web-development robotsllmsaihumans emailphone none
fullstackdevelooper.com 75 match
1 shared topics
Full Stack Developer es web-development robotsllmsaihumans emailphone none
adanulissess.com 75 match
1 shared topics
Adán Serrano — Full Stack Developer | Portafolio es web-development robotsllmsaihumans emailphone partial · 8
fvegah.com 74 match
1 shared topics
Felipe Vega | Tech Lead & Full Stack Developer es web-development robotsllmsaihumans emailphone none
iamfelixmtz.com 73 match
1 shared topics
Félix Martínez · Software Engineer | Full‑Stack Developer MX~ es web-development robotsllmsaihumans emailphone none
chavi.dev 73 match
1 shared topics
Portafolio de Xavier Chávez | Full Stack Developer & Mobile Pro EC~ es web-development robotsllmsaihumans emailphone none
iamfernandezdev.com 73 match
1 shared topics
Iam Fernandez • Web & Cloud Developer es web-development robotsllmsaihumans emailphone none
gabrieldemichelis.com 72 match
1 shared topics
Gabriel Demichelis | Full Stack Developer & Project Rescuer es web-development robotsllmsaihumans emailphone none
acwalt.com 72 match
1 shared topics
Walter Roberto Acuta Rumpich | Full Stack Developer e IT Infrastructure GT~ es web-development robotsllmsaihumans emailphone none
ysabillon.com 71 match
1 shared topics
Yeser Sabillón | Desarrollador Full Stack es web-development robotsllmsaihumans emailphone none
hectorbeltran.com 71 match
1 shared topics
Héctor Beltrán · Full Stack Developer & CRM Specialist es web-development robotsllmsaihumans emailphone none
hectorlozgo.dev 70 match
1 shared topics
Héctor Lozano - Desarrollador Full Stack React, Node.js es 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.