Piperic Business Intelligence
similar sites
‹ profile

Sites similar to devouredbytech.com

Hello World! · ranked by category · tech stack · backlink co-citation
65match
dhananjaypatel.com
Home Page
2 co-citations1 shared tech1 shared categoryprogramming-languages
62match
jackhowa.com
Jack Howard
1 co-citations2 shared tech1 shared categoryweb-development
61match
diasandre.dev
Home | andré dias da silva
2 co-citations1 shared tech1 shared categorysoftware-and-applications
58match
kevinnlsamuel.com
Kevin Samuel
2 co-citations1 shared tech1 shared categorytechnology-and-computing
58match
jaronyoung.dev
Jaron Young
2 co-citations1 shared tech1 shared categorytechnology-and-computing
52match
javigarza.dev
Javi's Cyber Space - Old School Coder
1 co-citations1 shared tech1 shared categoryprogramming-languages
51match
majdhasan.com
Majd Hasan
2 co-citations1 shared tech1 shared categoryweb-development
51match
ivan-rodrigues.com
Ivan Rodrigues - Home
2 co-citations1 shared tech1 shared categoryweb-development
51match
jimdeeth.com
Jim Deeth's portfolio
2 co-citations1 shared tech1 shared categoryweb-development
51match
eleanormumbi.com
Eleanor Robertson
2 co-citations1 shared tech1 shared categoryweb-development
50match
kybercode.com
Software and Website Development | Kybercode
0 co-citations2 shared tech1 shared categoryweb-development
50match
heterl0.com
Heterl0
0 co-citations2 shared tech1 shared categoryweb-development
50match
9esec.io
9elements Cyber Security
0 co-citations2 shared tech1 shared categoryinformation-and-network-security
49match
hemalawati.com
2 co-citations1 shared tech1 shared categorytechnology-and-computing
49match
adrianavillela.com
Adriana Villela
2 co-citations1 shared tech1 shared categorytechnology-and-computing
49match
dianacdev.com
Diana Cervantes
2 co-citations1 shared tech1 shared categoryweb-development
49match
henaredegan.com
Hello, I’m Henare | Henare Degan
1 co-citations1 shared tech1 shared categorytechnology-and-computing
49match
janessatran.com
Janessa Tran
1 co-citations2 shared tech1 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:

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.