Piperic Business Intelligence
similar sites
‹ profile

Sites similar to kelsonsusilo.com

Kelson Edbert Susilo · ranked by category · tech stack · backlink co-citation
54match
femiadenuga.com
Oluwafemi Adenuga - Senior Software Engineer
3 co-citations3 shared tech2 shared categorytechnology-and-computing
54match
devsahil.com
My Portfolio
1 co-citations4 shared tech2 shared categorytechnology-and-computing
53match
has-nain.dev
Hasnain - Portfolio
3 co-citations4 shared tech1 shared categoryweb-development
53match
joepope.dev
Jokwon Pope | Developer
3 co-citations3 shared tech2 shared categorytechnology-and-computing
53match
mamskie.dev
Mamskie | Information System
3 co-citations3 shared tech2 shared categoryweb-development
53match
anzeskulj.com
Anže Škulj
3 co-citations3 shared tech2 shared categoryweb-development
53match
felipewom.dev
Felipe Moura — Software Engineer
1 co-citations4 shared tech2 shared categoryweb-development
52match
joaoterroa.dev
João Terroa
3 co-citations3 shared tech2 shared categorytechnology-and-computing
51match
kenilvora.dev
Kenil's Portfolio
2 co-citations3 shared tech2 shared categoryweb-development
51match
markoperisic.com
Marko's Portfolio
2 co-citations3 shared tech2 shared categoryweb-development
51match
jjplusplus.com
Justin Medina
2 co-citations3 shared tech2 shared categorytechnology-and-computing
51match
aaabrham.com
Abraham Alemayehu | Portfolio Website
2 co-citations3 shared tech2 shared categoryweb-development
51match
adithyakashyap.com
Adithya's Portfolio
2 co-citations3 shared tech2 shared categoryweb-development
51match
adithyaanand.com
Adithya Anandsaikrishnan
2 co-citations3 shared tech2 shared categoryweb-development
51match
ceejayxiong.com
Ceejay Xiong
3 co-citations3 shared tech2 shared categorytechnology-and-computing
51match
devgumbs.dev
2 co-citations3 shared tech2 shared categoryweb-development
51match
femiojeyemi.com
Femi's Porfolio
2 co-citations3 shared tech2 shared categoryweb-development
51match
matthewtauber.com
Matthew Tauber - A Design-Driven Full Stack Developer
2 co-citations3 shared tech2 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.