Piperic Business Intelligence
similar sites
‹ profile

Sites similar to javierih.com

JavierIH robots and stuff · ranked by category · tech stack · backlink co-citation
64match
manuelbied.com
Manuel Bied
4 co-citations1 shared tech1 shared categoryrobotics
58match
anurajrp.io
Anuraj R.
6 co-citations1 shared tech1 shared categorytechnology-and-computing
56match
jjmtaylor.com
James JM Taylor
6 co-citations1 shared tech0 shared categorytechnology-and-computing
56match
aeonrobotics.com
Home | Aeon Robotics
1 co-citations1 shared tech1 shared categoryrobotics
55match
boennelykke.com
Mark Bønnelykke Rasmussen´s blog
5 co-citations1 shared tech0 shared categorytechnology-and-computing
53match
apesurd.com
Apesurd
6 co-citations1 shared tech0 shared categoryartificial-intelligence
52match
gravitasium.com
MM
5 co-citations1 shared tech0 shared categorytechnology-and-computing
52match
genymacedo.com
Geny Macedo
5 co-citations1 shared tech0 shared categorycloud-computing
52match
georgedecherney.com
George on the Web
5 co-citations1 shared tech0 shared categorytechnology-and-computing
50match
jmaclean.dev
jmaclean.dev - jmaclean.dev
4 co-citations1 shared tech0 shared categorycloud-computing
50match
aerovistadynamics.com
AEROVISTA DYNAMICS
0 co-citations1 shared tech1 shared categoryrobotics
50match
cdpjenkins.com
cdpjenkins - cdpjenkins
4 co-citations1 shared tech0 shared categoryprogramming-languages
50match
fcoomans.com
About Me - Frans Coomans
4 co-citations1 shared tech0 shared categoryinformation-and-network-security
49match
manasimalik.com
About Me -
5 co-citations1 shared tech0 shared categoryartificial-intelligence
49match
bakertim.com
Timothy James Baker
5 co-citations1 shared tech0 shared categoryartificial-intelligence
49match
georgeluong.com
About Me -
5 co-citations1 shared tech0 shared categorytechnology-and-computing
48match
cpajr.com
Charlie Allen's Blog
4 co-citations1 shared tech0 shared categorytechnology-and-computing
48match
devopswithdave.com
DevOps With Dave
4 co-citations1 shared tech0 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.