Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jfnavin.com

James Navin · ranked by category · tech stack · backlink co-citation
63match
aeliasson.dev
Adrian Eliasson
3 co-citations2 shared tech1 shared categorycloud-computing
63match
diariesbydeep.com
Deepak Ramakrishnaiah
3 co-citations2 shared tech1 shared categorytechnology-and-computing
59match
cottagecoders.com
Cottage Coders
2 co-citations2 shared tech1 shared categorytechnology-and-computing
58match
dexxtreme.com
Some Linux Guy
3 co-citations2 shared tech1 shared categorytechnology-and-computing
58match
dexxtech.net
Some Linux Guy
3 co-citations2 shared tech1 shared categorytechnology-and-computing
56match
8bitcloud.com
Bruce on the web
2 co-citations2 shared tech1 shared categorytechnology-and-computing
56match
geonson.com
Kevin Johnson
2 co-citations2 shared tech1 shared categoryweb-development
55match
gerardobsd.com
Gerardo's Beyond Simple Deployments
2 co-citations2 shared tech1 shared categoryprogramming-languages
54match
automationadventures.dev
Automation Adventures
1 co-citations2 shared tech1 shared categorytechnology-and-computing
50match
developerkarma.com
The home of Andrew M. Riley
0 co-citations2 shared tech1 shared categorytechnology-and-computing
47match
georgialeng.com
Home
3 co-citations1 shared tech1 shared categorycloud-computing
46match
haynesgt.com
Gavin Haynes
2 co-citations1 shared tech1 shared categorytechnology-and-computing
44match
bonnemai.com
Olivier Bonnemaison
2 co-citations1 shared tech1 shared categorytechnology-and-computing
44match
joelonhardware.com
Joel on Hardware
2 co-citations1 shared tech1 shared categorytechnology-and-computing
44match
joeri.dev
Joeri Smits
2 co-citations2 shared tech1 shared categorytechnology-and-computing
44match
iulianmocanu.com
Iulian Mocanu | DevOps Engineer
2 co-citations2 shared tech1 shared categorycloud-computing
44match
janetterounds.com
Janette Rounds
2 co-citations1 shared tech1 shared categorytechnology-and-computing
44match
jmaleonard.com
Jared Leonard — Senior Frontend Engineer, AWS
2 co-citations1 shared tech1 shared categorycloud-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.