Piperic Business Intelligence

similar sites

Sites similar to getcodecargo.com

Connections from feature cards to the CodeCargo platform · ranked by category · tech stack · backlink co-citation

getcodecargohq.com

Connections from feature cards to the CodeCargo platform

7 co-citations2 shared tech2 shared categorysoftware-and-applications

georgepetri.com

3 co-citations2 shared tech2 shared categorytechnology-and-computing

Joel Christiansen

2 co-citations2 shared tech2 shared categorysoftware-and-applications

joelvillarino.com

2 co-citations2 shared tech2 shared categorytechnology-and-computing

Kyle Graham Matzen | Software Engineer & Entrepreneur

2 co-citations2 shared tech2 shared categorysoftware-and-applications

Zhen Wang - Software Engineer

2 co-citations2 shared tech2 shared categorytechnology-and-computing

Jason Gunawan | Software Engineer

2 co-citations2 shared tech2 shared categorysoftware-and-applications

Jorge Jacome — Principal Engineer

2 co-citations2 shared tech2 shared categorytechnology-and-computing

Hammad Rasheed — Software Development Engineer

2 co-citations2 shared tech2 shared categorytechnology-and-computing

Aftaab Siddiki - Senior Software Engineer

2 co-citations2 shared tech2 shared categorytechnology-and-computing

Bamdad Erfanian

2 co-citations2 shared tech2 shared categorysoftware-and-applications

Bence Farkas | Portfolio

2 co-citations2 shared tech2 shared categorytechnology-and-computing

felixtessier.com

2 co-citations2 shared tech2 shared categorysoftware-and-applications

georgebadulescu.com

George Badulescu | Software Engineer

2 co-citations2 shared tech2 shared categorytechnology-and-computing

Marco Braga — Senior iOS Developer

2 co-citations2 shared tech2 shared categorysoftware-and-applications

Marco Braga — Senior iOS Developer

2 co-citations2 shared tech2 shared categorysoftware-and-applications

malavikabala.com

Malavika Balachandran Tadeusz

2 co-citations2 shared tech2 shared categorytechnology-and-computing

Jiwon's Portfolio

2 co-citations2 shared tech2 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.