Piperic Business Intelligence

similar sites

Sites similar to ccostes.com

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

3 co-citations2 shared tech1 shared categorytechnology-and-computing

楽しいことブログ

3 co-citations2 shared tech1 shared categorytechnology-and-computing

3 co-citations2 shared tech1 shared categoryartificial-intelligence

devynharrington.com

Devyn Harrington

3 co-citations2 shared tech1 shared categorycloud-computing

julianscorner.com

Julian Easterling

2 co-citations2 shared tech1 shared categorytechnology-and-computing

majedsamyal.com

2 co-citations2 shared tech1 shared categorycloud-computing

2 co-citations2 shared tech1 shared categoryoperating-systems

Jin Jiefan's Tech Insights

2 co-citations2 shared tech1 shared categorytechnology-and-computing

Dev Nuggets Blog

2 co-citations2 shared tech1 shared categorytechnology-and-computing

2 co-citations2 shared tech1 shared categoryweb-development

2 co-citations2 shared tech1 shared categorytechnology-and-computing

julien-escoffier.com

Julien Escoffier

3 co-citations2 shared tech1 shared categorytechnology-and-computing

manikandanarjunan.com

Manikandan Arjunan | Senior Backend Engineer

3 co-citations2 shared tech1 shared categorytechnology-and-computing

3 co-citations2 shared tech1 shared categorytechnology-and-computing

3 co-citations2 shared tech1 shared categoryweb-development

kennethwolters.com

3 co-citations2 shared tech1 shared categoryartificial-intelligence

Jose Humberto Oliveros Magaña, M.Sc. | Jose Humberto Oliveros Magaña

2 co-citations2 shared tech1 shared categorytechnology-and-computing

guillemsaiz.com

Home | Guillem Saiz

2 co-citations2 shared tech1 shared categoryprogramming-languages

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.