Piperic Business Intelligence
similar sites
‹ profile

Sites similar to janicewong.dev

Janice Wong · ranked by category · tech stack · backlink co-citation
41match
kanishkdev.com
Home | Kanishk's Space
2 co-citations5 shared tech2 shared categoryweb-development
41match
georgeclinkscalesdev.com
George Clinkscales Jr.| Portfolio
4 co-citations3 shared tech2 shared categoryweb-development
40match
adrocgt.com
Adroc Portfolio
2 co-citations4 shared tech2 shared categoryweb-development
40match
appraisejs.dev
Home | AppraiseJS
1 co-citations5 shared tech2 shared categoryweb-development
38match
marconis.dev
Developer Portfolio
1 co-citations3 shared tech3 shared categoryweb-development
38match
jiircoon.dev
Jiir Paredes | Software Engineer
3 co-citations3 shared tech2 shared categoryweb-development
38match
adriantworek.com
Adrian Tworek | Software Engineer
3 co-citations1 shared tech3 shared categoryweb-development
37match
jimmyhui.dev
Jimmy Hui
3 co-citations2 shared tech3 shared categorytechnology-and-computing
37match
julianbitetto.com
Julian Bitetto
3 co-citations2 shared tech2 shared categoryprogramming-languages
37match
ivan-grandi.com
Ivan Grandi
3 co-citations1 shared tech3 shared categoryweb-development
37match
javierquerol.com
Javier Querol
3 co-citations4 shared tech1 shared categoryartificial-intelligence
37match
jodarini.dev
Rivas Benoit - Full-stack Developer
3 co-citations2 shared tech2 shared categoryweb-development
37match
jaydenbai.com
Jayden Bai
2 co-citations5 shared tech1 shared categorytechnology-and-computing
37match
cdalto.com
Casey Townsend
2 co-citations5 shared tech1 shared categoryweb-development
36match
joaorodriguesjr.com
João Rodrigues Jr
3 co-citations1 shared tech3 shared categoryweb-development
36match
jasoncfrancois.com
Jason François | Full-Stack Developer
4 co-citations1 shared tech2 shared categoryweb-development
36match
anubhabkarki.com
Anubhab Karki
4 co-citations1 shared tech2 shared categoryweb-development
36match
georgemark.dev
My Portfolio
2 co-citations2 shared tech3 shared categorytechnology-and-computing

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.