Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jinoism.dev

Jinoism · Full-Stack Developer 포트폴리오 | 14년+ 경력 · ranked by category · tech stack · backlink co-citation
65match
devdory.com
DevDory | Full Stack Engineer
1 co-citations3 shared tech1 shared categoryweb-development
59match
jinho-blog.com
강진호 프론트엔드 포트폴리오
1 co-citations0 shared tech2 shared categoryweb-development
56match
devscent.com
DevScent | 웹·앱·백엔드 개발 포트폴리오와 견적
1 co-citations1 shared tech1 shared categoryweb-development
55match
2taeyoon.com
2taeyoon
1 co-citations0 shared tech2 shared categoryweb-design-and-html
50match
jichive.com
Jichive
1 co-citations1 shared tech1 shared categoryweb-development
50match
hohoshin.dev
진개블만알
1 co-citations1 shared tech1 shared categoryweb-development
50match
apptist.app
Apptist - AI 기반 혁신적인 앱 서비스 플랫폼
1 co-citations2 shared tech0 shared categorysoftware-and-applications
50match
devjaewon.com
Jaewon Kim
1 co-citations1 shared tech1 shared categoryweb-development
49match
ixband.com
Main | ixBand.js
1 co-citations1 shared tech1 shared categoryweb-development
49match
devhimchan.com
DEVHIMCHAN
1 co-citations1 shared tech1 shared categoryweb-development
49match
devsonghee.com
Scent Memories | 강송희 프론트엔드 포트폴리오
1 co-citations0 shared tech1 shared categoryweb-development
46match
boongranii.dev
반갑습니다. Boongranii입니다.
1 co-citations2 shared tech2 shared categoryweb-development
45match
bbagyun.com
BbaGyun's Portfolio
1 co-citations0 shared tech1 shared categoryweb-development
45match
guksulog.com
국수의 개발 블로그
1 co-citations0 shared tech1 shared categoryweb-development
45match
apa-a11y.com
A11y Pattern
1 co-citations0 shared tech1 shared categoryweb-design-and-html
44match
guide2codes.com
블로그 원칙 :: The hitchhiker's guide to the codes
1 co-citations2 shared tech2 shared categoryweb-development
42match
mathsystem.dev
Math System — 수학을 다루는 사람의 도구
1 co-citations1 shared tech0 shared categorysoftware-and-applications
42match
makerzip.com
메이커집 개발일지 — 메이커집 개발일지
1 co-citations2 shared tech0 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.