Piperic Business Intelligence
similar sites
‹ profile

Sites similar to keomalima.com

Portfolio Keoma Lima · ranked by category · tech stack · backlink co-citation
85match
jissjoy.com
Jiss Joy
3 co-citations3 shared tech1 shared categoryweb-development
85match
brenoliradev.com
Breno Lira - Frontend
3 co-citations3 shared tech1 shared categoryweb-development
85match
adithyaanand.com
Adithya Anandsaikrishnan
3 co-citations3 shared tech1 shared categoryweb-development
85match
bolabuari.com
Bola Ahmed Buari - Senior Ruby Engineer
3 co-citations3 shared tech1 shared categoryweb-development
85match
coopercodex.com
Derek Cooper | Developer
3 co-citations3 shared tech1 shared categoryweb-development
85match
devgumbs.dev
3 co-citations3 shared tech1 shared categoryweb-development
85match
elikeith.dev
Eli | Fullstack Developer
3 co-citations3 shared tech1 shared categoryweb-development
85match
elroylian.com
Elroy Lian
3 co-citations3 shared tech1 shared categorytechnology-and-computing
82match
malshanperera.com
Malshan's Portfolio
3 co-citations3 shared tech1 shared categoryweb-development
81match
genehan.dev
Gene Han's Portfolio
3 co-citations3 shared tech1 shared categorytechnology-and-computing
80match
jingweilee.com
Portfolio - JWEI Lee
2 co-citations3 shared tech1 shared categoryweb-development
78match
joeshields.dev
Joe Shields Portfolio
2 co-citations3 shared tech1 shared categoryweb-development
78match
anujkarn.dev
Anuj Karn | Portfolio
2 co-citations3 shared tech1 shared categorytechnology-and-computing
78match
ivanmiceta.dev
Ivan's portfolio | Home
2 co-citations3 shared tech1 shared categoryweb-development
78match
hamzairshad.com
Hamza's Portfolio
2 co-citations3 shared tech1 shared categorytechnology-and-computing
78match
devinreilly.com
Devin Reilly Portfolio
2 co-citations3 shared tech1 shared categoryweb-development
78match
elhor.dev
Mohamed EL Hor Portfolio
2 co-citations3 shared tech1 shared categoryweb-development
78match
gulistansaglam.com
Gulistan Saglam Portfolio
2 co-citations3 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.