Piperic Business Intelligence
similar sites
‹ profile

Sites similar to fedfontana.dev

fedfontana's blog · ranked by category · tech stack · backlink co-citation
68match
marconis.dev
Developer Portfolio
1 co-citations3 shared tech1 shared categoryweb-development
60match
appraisejs.dev
Home | AppraiseJS
1 co-citations3 shared tech1 shared categoryweb-development
59match
joelabu.dev
Home | Joel Abu
1 co-citations4 shared tech0 shared categorytechnology-and-computing
57match
jamestlopez.com
JTL
1 co-citations2 shared tech1 shared categoryweb-development
57match
fibworks.com
fibWorks
1 co-citations2 shared tech1 shared categorytechnology-and-computing
55match
jinovasystems.com
AI web products and automation for lean teams · Jinova Systems
1 co-citations2 shared tech1 shared categoryweb-development
55match
hasanrzayev.com
Hasan Rzayev | .NET Backend Developer
1 co-citations2 shared tech1 shared categoryweb-development
55match
anucha.dev
anucha.dev — Developer Portfolio
1 co-citations2 shared tech1 shared categoryprogramming-languages
55match
boxesnwires.com
Welcome | pages
1 co-citations0 shared tech2 shared categoryweb-development
55match
gero-romano.com
Home | mywebsite
1 co-citations0 shared tech2 shared categoryweb-development
53match
jigspec.com
JigSpec — Applied AI, delivered as finished work
1 co-citations3 shared tech0 shared categoryartificial-intelligence
53match
cerealfish.com
AstroPaper
1 co-citations3 shared tech0 shared categoryweb-design-and-html
53match
elianejuca.com
Home • Tech&Life
1 co-citations3 shared tech0 shared categorytechnology-and-computing
53match
kamwoo.dev
Kamwoo blog
1 co-citations1 shared tech1 shared categoryweb-development
52match
jasoncaserta.com
Jason Caserta
1 co-citations1 shared tech1 shared categorytechnology-and-computing
52match
0xjett.com
Next MDX Blog
1 co-citations1 shared tech1 shared categoryweb-development
52match
cornpoplabs.com
Home Page
1 co-citations1 shared tech1 shared categoryweb-design-and-html
52match
dgaitsgo.com
David Gaitsgory — Full-Stack Software Engineer
1 co-citations1 shared tech1 shared categoryweb-development

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.