Piperic Business Intelligence

similar sites

Sites similar to kymind.com

KY|MIND · ranked by category · tech stack · backlink co-citation

Marek Szulak - Software Engineer

2 co-citations0 shared tech3 shared categorytechnology-and-computing

ivannesevski.com

2 co-citations0 shared tech3 shared categorytechnology-and-computing

Kanav Sethi | Flutter Developer

2 co-citations0 shared tech3 shared categoryprogramming-languages

MalekD5 | Software Engineer

2 co-citations0 shared tech3 shared categorytechnology-and-computing

2 co-citations0 shared tech3 shared categorytechnology-and-computing

Janavi Bathala Vijayabhaskar

2 co-citations0 shared tech3 shared categorysoftware-and-applications

2 co-citations0 shared tech3 shared categorytechnology-and-computing

corneliudascalu.com

2 co-citations0 shared tech3 shared categorytechnology-and-computing

2 co-citations0 shared tech3 shared categoryprogramming-languages

havishpallerla.com

2 co-citations0 shared tech3 shared categoryprogramming-languages

2 co-citations0 shared tech3 shared categorytechnology-and-computing

2 co-citations0 shared tech3 shared categorytechnology-and-computing

2 co-citations0 shared tech3 shared categorysoftware-and-applications

Fernando Reynoso

2 co-citations0 shared tech3 shared categorytechnology-and-computing

Jack Siu — Software Engineer

2 co-citations0 shared tech2 shared categorysoftware-and-applications

3 co-citations0 shared tech2 shared categorytechnology-and-computing

kylebashour.com

Kyle Bashour | iOS Developer

2 co-citations0 shared tech3 shared categorytechnology-and-computing

2 co-citations0 shared tech3 shared categorysoftware-and-applications

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.