Piperic Business Intelligence
similar sites
‹ profile

Sites similar to mouddakir.dev

MouddakirIT - Digital Solutions & Development · ranked by category · tech stack · backlink co-citation
89match
devnova.io
devnova - Software Development denova
2 co-citations2 shared tech1 shared categoryweb-development
88match
georgesopov.com
George Sopov - Developer
2 co-citations2 shared tech1 shared categoryprogramming-languages
87match
kenneth-ljs.com
Ken’s Developer Portfolio
2 co-citations2 shared tech1 shared categoryweb-development
87match
jacobhaile.com
Jacob Haile - Web Developer
2 co-citations2 shared tech1 shared categoryweb-development
86match
baptistelabaune.com
Baptiste LABAUNE - Développeur web freelance
2 co-citations2 shared tech1 shared categoryweb-development
85match
kenurata.com
Ken Urata - Front-end Engineer
2 co-citations2 shared tech1 shared categoryweb-development
85match
jason-yang.com
Home | Jason Yang
2 co-citations2 shared tech1 shared categorytechnology-and-computing
85match
jemsonsayre.com
Jemson Sayre - Portfolio
2 co-citations2 shared tech1 shared categoryweb-development
85match
jimobr.com
James O'Brien - Software Engineer
2 co-citations2 shared tech1 shared categoryweb-development
85match
jlukenoff.com
John Lukenoff | Home
2 co-citations2 shared tech1 shared categoryweb-development
85match
jmboulos.com
JMB | Home Page
2 co-citations2 shared tech1 shared categoryweb-development
85match
hanadowe.com
Hana Dowe
2 co-citations2 shared tech1 shared categoryweb-development
85match
aditk.dev
Adit Kadepurkar
2 co-citations2 shared tech1 shared categoryweb-design-and-html
85match
adriankawanishi.com
Adrian Kawanishi
2 co-citations2 shared tech1 shared categoryweb-design-and-html
85match
balabalabear.com
Jack Kwok
2 co-citations2 shared tech1 shared categoryweb-development
85match
devbydom.com
Dev By Dom
2 co-citations2 shared tech1 shared categoryweb-development
85match
elijahdangerfield.com
Elijah Dangerfield - Software Engineer
2 co-citations2 shared tech1 shared categoryweb-development
85match
georgegento.com
GeorgeGento
2 co-citations2 shared tech1 shared categoryweb-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.