Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jozefcvik.com

CV · ranked by category · tech stack · backlink co-citation
65match
itzgee.com
GEE
0 co-citations3 shared tech1 shared categorytechnology-and-computing
58match
bookmyrack.com
BMR
0 co-citations3 shared tech1 shared categorytechnology-and-computing
55match
kellenyu.com
0 co-citations2 shared tech1 shared categoryrobotics
55match
jacklowe.dev
0 co-citations2 shared tech1 shared categorytechnology-and-computing
55match
hexladder.com
HEX
0 co-citations2 shared tech1 shared categorytechnology-and-computing
55match
heyhub.ai
Hub
0 co-citations2 shared tech1 shared categorytechnology-and-computing
55match
eliminatemyfee.com
SPS
0 co-citations2 shared tech1 shared categorytechnology-and-computing
53match
cewkids.com
CEW
0 co-citations3 shared tech1 shared categorytechnology-and-computing
50match
kanbanditto.com
Kanbanditto — The kanban board that stays simple
0 co-citations3 shared tech1 shared categorysoftware-and-applications
50match
kejingli.com
Kejing Li · Full-Stack Engineer
0 co-citations3 shared tech1 shared categoryweb-development
50match
kelvinzhe.com
DevHe Portfolio Website
0 co-citations3 shared tech1 shared categorytechnology-and-computing
50match
kyletuck.com
Kyle Tuck
0 co-citations3 shared tech1 shared categorytechnology-and-computing
50match
malfalah.com
Mahmoud Alfalah - Full Stack Developer
0 co-citations3 shared tech1 shared categoryweb-development
50match
itunescn.com
Itunescn | Home
0 co-citations3 shared tech1 shared categorysoftware-and-applications
50match
ivankuit.com
Ivan Kuit - Software Engineer & Chemical Engineer
0 co-citations3 shared tech1 shared categorysoftware-and-applications
50match
ivkalu.com
Luka Ivanković | ML Engineer
0 co-citations3 shared tech1 shared categoryartificial-intelligence
50match
jacksonchelote.com
Jackson Chelote — Quality Engineering Leader
0 co-citations3 shared tech1 shared categorytechnology-and-computing
50match
jacob-deaton.com
Jacob Deaton's Portfolio
0 co-citations3 shared tech1 shared categoryprogramming-languages

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.