Piperic Business Intelligence
similar sites
‹ profile

Sites similar to hadilq.com

Hadi's Notes · ranked by category · tech stack · backlink co-citation
68match
dewanahmed.com
Dewan’s Blog
3 co-citations1 shared tech1 shared categorytechnology-and-computing
64match
kellysoftware.org
Kelly Software Solutions
2 co-citations1 shared tech1 shared categorysoftware-and-applications
62match
janneskelso.com
Jannes Kelso
2 co-citations1 shared tech1 shared categorytechnology-and-computing
62match
jjurai.com
Julian Jurai
2 co-citations1 shared tech1 shared categorytechnology-and-computing
62match
grimesit.com
Software and DevOps Consulting - Grimes IT, LLC
2 co-citations1 shared tech1 shared categorytechnology-and-computing
62match
baioc.dev
About | baioc
2 co-citations1 shared tech1 shared categorytechnology-and-computing
60match
apesurd.com
Apesurd
3 co-citations1 shared tech1 shared categoryartificial-intelligence
59match
boennelykke.com
Mark Bønnelykke Rasmussen´s blog
2 co-citations1 shared tech1 shared categorytechnology-and-computing
58match
eliskeggs.com
Eli Skeggs
3 co-citations1 shared tech1 shared categorytechnology-and-computing
58match
gravitasium.com
MM
2 co-citations1 shared tech1 shared categorytechnology-and-computing
58match
eleazerarcilla.com
Hello, I am Eleaz
2 co-citations1 shared tech1 shared categorytechnology-and-computing
58match
genymacedo.com
Geny Macedo
2 co-citations1 shared tech1 shared categorycloud-computing
58match
georgedecherney.com
George on the Web
2 co-citations1 shared tech1 shared categorytechnology-and-computing
57match
jamesvavrik.com
James Vavrik
2 co-citations1 shared tech1 shared categorytechnology-and-computing
57match
jemimahosei.com
My Portfolio
1 co-citations1 shared tech1 shared categorytechnology-and-computing
57match
jjmtaylor.com
James JM Taylor
2 co-citations1 shared tech1 shared categorytechnology-and-computing
57match
grindaga.com
Grindaga
1 co-citations1 shared tech1 shared categoryprogramming-languages
57match
georgeluong.com
About Me -
2 co-citations1 shared tech1 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:

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.