Piperic Business Intelligence
similar sites
‹ profile

Sites similar to linkylounge.com

레이지데이 북클럽 · ranked by category · tech stack · backlink co-citation
43match
diekapitel.com
die Kapitel — 책 너머의 대화, 삶 너머의 사유
1 co-citations3 shared tech1 shared categorybooks-and-literature
38match
miribook.com
미리북 - AI 기반 서평 분석 플랫폼
2 co-citations1 shared tech1 shared categorybooks-and-literature
35match
bookpang.com
북팡
2 co-citations2 shared tech1 shared categorybooks-and-literature
35match
bookcluborigin.com
북클럽 오리진
0 co-citations3 shared tech1 shared categorybooks-and-literature
34match
appletreetales.com
애플트리태일즈 - 아주 좋은 날
1 co-citations2 shared tech1 shared categorybooks-and-literature
34match
dignity50s.com
50의서재
2 co-citations0 shared tech1 shared categorybooks-and-literature
33match
geulgyeol.com
글결 Geul-gyeol
0 co-citations3 shared tech1 shared categorybooks-and-literature
32match
bookcigi.com
북치기 :: 만화책 전권 대여
0 co-citations5 shared tech1 shared categorybooks-and-literature
32match
cebateau.com
도취한 배
1 co-citations1 shared tech1 shared categorypoetry
32match
malangbook.app
말랑북 | 상상이 책이 되는 가장 말랑한 방법
0 co-citations3 shared tech1 shared categorybooks-and-literature
32match
mallybook.com
Book Cover Design & Illustration | Mallybook | Seoul
1 co-citations0 shared tech1 shared categoryart-and-photography
32match
hessenprotocol.com
헤센 프로토콜 | Hessen Protocol
1 co-citations0 shared tech1 shared categorybooks-and-literature
32match
graphic-bookstore.com
GRAPHIC BOOKSTORE
1 co-citations0 shared tech1 shared categorybooks-and-literature
32match
graphmagazine.com
GRAPH — Record Your Own Life.
1 co-citations0 shared tech1 shared categorybooks-and-literature
31match
bookdom.ai
북덤 히든책피언 — 숨겨진 명작을 발견하세요
0 co-citations3 shared tech1 shared categorybooks-and-literature
31match
feelandnote.com
Feel&Note
0 co-citations3 shared tech1 shared categorybooks-and-literature
31match
bomvit.com
출판사 | 봄빛서원
1 co-citations2 shared tech1 shared categorybooks-and-literature
31match
hdjisung.com
현대지성
1 co-citations2 shared tech1 shared categorybooks-and-literature

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.