Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jharttech.com

JHartTech · ranked by category · tech stack · backlink co-citation
85match
jguths.com
jguths
3 co-citations6 shared tech1 shared categorytechnology-and-computing
78match
jasonfantl.com
Jason Fantl
3 co-citations6 shared tech1 shared categorytechnology-and-computing
76match
hanbooo.com
Hanbo Guo
3 co-citations6 shared tech1 shared categorytechnology-and-computing
76match
filipbiljic.com
Filip BILJIC
3 co-citations6 shared tech1 shared categorytechnology-and-computing
75match
grantwilk.com
Grant Wilk
3 co-citations4 shared tech1 shared categorytechnology-and-computing
75match
devopsmike.com
DevOpsMike
3 co-citations4 shared tech1 shared categorycloud-computing
70match
jjginga.com
Joel José Ginga
3 co-citations4 shared tech1 shared categorytechnology-and-computing
68match
developerefficiency.com
Developer Efficiency Blog | A blog dedicated to exploring the strategies, tools, and practices that empower software development teams to work smarter, faster, and more effectively.
3 co-citations3 shared tech1 shared categorytechnology-and-computing
68match
haxolotl.com
Haxo1ot1
2 co-citations6 shared tech1 shared categoryinformation-and-network-security
66match
hexkaster.com
hexkaster
3 co-citations4 shared tech1 shared categoryinformation-and-network-security
66match
heyeduardo.com
Eduardo Rocha | Blog
3 co-citations4 shared tech1 shared categorytechnology-and-computing
66match
agarwalarjun.com
Arjun Agarwal
3 co-citations4 shared tech1 shared categoryartificial-intelligence
66match
fikretcan.com
tpirate blog
3 co-citations4 shared tech1 shared categorytechnology-and-computing
66match
aesth.dev
aesth
2 co-citations6 shared tech1 shared categoryprogramming-languages
65match
joedevelops.com
Latest Posts - Joe Develops
3 co-citations2 shared tech1 shared categoryartificial-intelligence
64match
kanebruce.com
Kanomeister
3 co-citations2 shared tech1 shared categoryartificial-intelligence
63match
deydas.com
Abhishek Dey Das
3 co-citations4 shared tech1 shared categorytechnology-and-computing
63match
appclientflix-fr.com
emul4nt
2 co-citations4 shared tech1 shared categoryinformation-and-network-security

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.