Piperic Business Intelligence

similar sites

Sites similar to kenkozma.dev

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

2 co-citations2 shared tech1 shared categoryweb-development

jacklegrice.com

Jack Le Grice | Making things on the internet

2 co-citations3 shared tech2 shared categoryweb-design-and-html

2 co-citations1 shared tech2 shared categoryweb-development

hohmandigital.com

2 co-citations2 shared tech1 shared categoryweb-design-and-html

2 co-citations1 shared tech2 shared categoryweb-development

JhonSore | Portfolio

2 co-citations2 shared tech2 shared categoryweb-design-and-html

2 co-citations2 shared tech2 shared categoryweb-design-and-html

advancedpcmedia.com

Hello from the Internet!

2 co-citations2 shared tech2 shared categoryinternet

Personal Website

2 co-citations2 shared tech2 shared categoryweb-development

Kang's Portfolio

2 co-citations3 shared tech1 shared categoryweb-development

2 co-citations3 shared tech1 shared categorytechnology-and-computing

Gray-Work | Custom Software Development & ERP Solutions

2 co-citations3 shared tech1 shared categorysoftware-and-applications

geraldthedev.com

2 co-citations3 shared tech1 shared categoryweb-development

2 co-citations1 shared tech1 shared categoryweb-design-and-html

2 co-citations1 shared tech1 shared categoryweb-development

2 co-citations1 shared tech1 shared categoryweb-development

diegobreakfast.com

2 co-citations1 shared tech1 shared categoryweb-design-and-html

2 co-citations1 shared tech2 shared categoryweb-development

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.