Piperic Business Intelligence

similar sites

Sites similar to lapinvillage.com

라핀빌리지 · ranked by category · tech stack · backlink co-citation

bonbonhomme.com

1 co-citations2 shared tech0 shared categorywomen-s-clothing

1 co-citations1 shared tech1 shared categorychildren-s-clothing

1 co-citations2 shared tech1 shared categorychildren-s-clothing

HEy,RIRE 헤이리레 (heyrire)

1 co-citations2 shared tech1 shared categorychildren-s-clothing

1 co-citations2 shared tech1 shared categorychildren-s-clothing

jenniebless.com

JENNIE BLESS, 제니블레스

1 co-citations2 shared tech0 shared categorywomen-s-clothing

makervintage.com

마커빈티지

1 co-citations2 shared tech0 shared categorymen-s-clothing

매니아매스 (MANIAMASS)

1 co-citations2 shared tech0 shared categorydesigner-clothing

BBUGGUBBU 뿌꾸뿌

1 co-citations2 shared tech0 shared categorywomen-s-jewelry-and-watches

1 co-citations0 shared tech1 shared categorychildren-s-clothing

ADONAI MADE 아도나이 메이드

1 co-citations2 shared tech0 shared categorywomen-s-handbags-and-wallets

1 co-citations2 shared tech0 shared categorywomen-s-jewelry-and-watches

클라우즈 아파트

1 co-citations2 shared tech0 shared categorywomen-s-clothing

cosmic slow, 코스믹슬로우

1 co-citations2 shared tech0 shared categorywomen-s-handbags-and-wallets

1 co-citations2 shared tech0 shared categorystyle-and-fashion

gentleseoul.com

1 co-citations2 shared tech0 shared categorymen-s-clothing

1 co-citations2 shared tech0 shared categorywomen-s-clothing

1 co-citations2 shared tech0 shared categorywomen-s-clothing

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:

co-citations how often the same third-party websites link out to both — sites referenced together tend to serve the same world.
shared tech how much of their technology stack (CMS, e‑commerce, analytics, frameworks…) overlaps.
shared category whether they sit in the same business / industry category.
positioning how closely their titles and on‑page wording line up.

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.