Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to fernandotaladriz.com

Fernando Taladriz - Ingeniero Comercial y FullStack Developer · ranked by shared content topics & relevance
76match
fernandocaravaca.com
Fernando Caravaca - FullStack Developer
1 shared topicsweb-development
73match
artisaan.dev
Alex Garcia - Full Stack Developer
1 shared topicsweb-development
72match
cllorente.com
Camilo Llorente - Full-Stack developer Portfolio
1 shared topicsweb-development
72match
fergv.com
Fernando García — Full-Stack Developer
1 shared topicsweb-development
72match
alfredoromero.dev
Alfredo Romero — Senior Fullstack Developer
1 shared topicsweb-development
72match
armando-portafolio.com
Armando | Full Stack Developer
1 shared topicsweb-development
71match
albertoalvarez.dev
Alberto Alvarez - Full Stack Developer
1 shared topicsweb-development
71match
alejandroquintana.dev
Alejandro Quintana | Ingeniero Fullstack Senior
1 shared topicsweb-development
71match
maylocode.dev
Maylo | Full Stack Developer
1 shared topicsweb-development
71match
mcarreradev.com
Matías Carrera | Full Stack Developer
1 shared topicsweb-development
71match
codej31m.dev
@CODEJ3IM - Full Stack Developer Portfolio
1 shared topicsweb-development
70match
alfgow.app
alfgow | Fullstack Developer
1 shared topicsweb-development
70match
fedeglanz.com
Federico Glanz - Director de IT | Fullstack Developer | Portfolio Interactivo
1 shared topicsweb-development
70match
royandresdev.com
Roy Huaman | royandresdev - Fullstack Developer
1 shared topicsweb-development
70match
alexrivas.net
Alex Rivas - Full Stack Developer | Arquitectura de Sistemas y Datos
1 shared topicsweb-development
70match
alexeipalacios.cloud
Ricardo Alexei Palacios - Full Stack Developer
1 shared topicsweb-development
70match
sorijose.com
Jose Soriano · Fullstack Developer, PrestaShop Expert & AI Specialist
1 shared topicsweb-development
70match
sorijose.dev
Jose Soriano · Fullstack Developer, PrestaShop Expert & AI Specialist
1 shared topicsweb-development

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.