Piperic Business Intelligence
similar sites
‹ profile

Sites similar to kuhave.com

Kuhave's World :: Kuhave's World · ranked by category · tech stack · backlink co-citation
77match
jiwon.dev
Jiwon DEV :: Jiwon DEV
1 co-citations7 shared tech1 shared categorytechnology-and-computing
76match
kenees.com
KeNee.zip | IT·트렌드 & 실용지식
1 co-citations9 shared tech1 shared categorytechnology-and-computing
74match
mangveloper.com
개발자망고
1 co-citations7 shared tech1 shared categoryartificial-intelligence
55match
jincolife.com
코딩, 삶에 스며들다 - 코딩, 삶에 스며들다
1 co-citations8 shared tech0 shared categoryweb-development
49match
kang2oon.com
kgoon-Log
1 co-citations10 shared tech1 shared categorysmartphones
42match
breezymind.com
Backstage Monologue
0 co-citations8 shared tech1 shared categorycloud-computing
40match
makernambo.com
남보공방 :: 남보공방
1 co-citations7 shared tech1 shared categorycomputing
38match
jelitz.com
젤리츠의 IT 세상 끄적이기 — 젤리츠의 IT 세상 끄적이기
1 co-citations8 shared tech0 shared categoryartificial-intelligence
36match
bongholee.com
RE-CONSIDER-ED
0 co-citations6 shared tech1 shared categorytechnology-and-computing
36match
jellysoftgrid.com
The Grid: Tech & Design
0 co-citations7 shared tech1 shared categorytechnology-and-computing
35match
anyjava.dev
anyjava 보조 기억 장치
0 co-citations5 shared tech1 shared categorytechnology-and-computing
34match
keojisen.com
커지센 :: 커뮤니티지원센터
0 co-citations6 shared tech1 shared categorytechnology-and-computing
34match
hoeboin.com
IT/테크일상 – 최신 AI·앱·테크 트렌드 정보 블로그
0 co-citations7 shared tech1 shared categorytechnology-and-computing
34match
5mintech.com
하루 5분 테크
0 co-citations6 shared tech1 shared categorytechnology-and-computing
34match
mandooya.com
만두야닷컴 — 만두야닷컴
1 co-citations7 shared tech0 shared categoryweb-development
34match
guileschool.com
guileschool 블로그
0 co-citations5 shared tech1 shared categorytechnology-and-computing
33match
devitsenior.com
시니어 개발자의 기록
0 co-citations6 shared tech1 shared categorytechnology-and-computing
32match
appplayer.net
앱플레이어 : 스마트폰, 앱, 컴퓨터 등 다양한 IT 정보 블로그
0 co-citations5 shared tech1 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.