Piperic Business Intelligence

similar sites

Sites similar to jdtech.dev

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

Jaakko Tepponen | Jakate

3 co-citations1 shared tech2 shared categoryweb-development

Home | Rajan Pokharel

2 co-citations1 shared tech2 shared categorytechnology-and-computing

3 co-citations1 shared tech1 shared categorytechnology-and-computing

Gunadhya | Gunadhya

2 co-citations1 shared tech2 shared categorytechnology-and-computing

mathurankit.com

2 co-citations1 shared tech2 shared categoryweb-development

3 co-citations1 shared tech2 shared categorytechnology-and-computing

0 co-citations1 shared tech3 shared categoryweb-development

DevGypsy.com - DevGypsy

2 co-citations1 shared tech2 shared categoryprogramming-languages

joelonhardware.com

Joel on Hardware

2 co-citations1 shared tech1 shared categorytechnology-and-computing

1 co-citations1 shared tech2 shared categorytechnology-and-computing

janetterounds.com

2 co-citations1 shared tech1 shared categorytechnology-and-computing

jasonhowlin.com

1 co-citations1 shared tech2 shared categorytechnology-and-computing

Diego Molina · Home

3 co-citations1 shared tech1 shared categorysoftware-and-applications

1 co-citations1 shared tech2 shared categorytechnology-and-computing

1 co-citations1 shared tech2 shared categorytechnology-and-computing

2 co-citations1 shared tech1 shared categoryprogramming-languages

2 co-citations1 shared tech1 shared categoryprogramming-languages

1 co-citations1 shared tech2 shared categorytechnology-and-computing

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.