Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jnard0ne.com

John Nardone · ranked by category · tech stack · backlink co-citation
68match
joelaumedes.com
Joel Aumedes | Notion
2 co-citations1 shared tech1 shared categoryprogramming-languages
68match
joaod.dev
Joao D. Portfolio
2 co-citations1 shared tech1 shared categorytechnology-and-computing
68match
hasanaltintas.com
Hasan Altıntaş - Home
2 co-citations1 shared tech1 shared categorytechnology-and-computing
68match
aronlenvig.com
Aron Portfolio
2 co-citations1 shared tech1 shared categoryprogramming-languages
68match
gregmilitello.com
Greg Militello — Engineering Leader
2 co-citations1 shared tech1 shared categorytechnology-and-computing
68match
apostolchokoev.com
Apostol Chokoev
2 co-citations1 shared tech1 shared categorysoftware-and-applications
68match
baptisteleguey.com
Baptiste Leguey CTO | Notion
2 co-citations1 shared tech1 shared categorytechnology-and-computing
68match
bostonlee.com
Boston Lee
2 co-citations1 shared tech1 shared categorytechnology-and-computing
68match
coreofkeen.com
Alex Dev | React Native Engineer
2 co-citations1 shared tech1 shared categoryweb-development
68match
cowboyim.com
CO Yim - Software Engineer
2 co-citations1 shared tech1 shared categoryweb-development
68match
coyim.io
CO Yim - Software Engineer
2 co-citations1 shared tech1 shared categoryweb-development
68match
coyim.dev
CO Yim - Software Engineer
2 co-citations1 shared tech1 shared categoryweb-development
68match
dfargo.com
Andrew Fargo's Website
2 co-citations1 shared tech1 shared categoryprogramming-languages
68match
fffdethan.com
FFFD
2 co-citations1 shared tech1 shared categorytechnology-and-computing
68match
mattbarreiro.com
Matt Barreiro
2 co-citations1 shared tech1 shared categorytechnology-and-computing
68match
matthiasadamsen.com
Matthias Adamsen
2 co-citations1 shared tech1 shared categorytechnology-and-computing
68match
mattmerr.com
Index | MattMerr
2 co-citations1 shared tech1 shared categorytechnology-and-computing
67match
applebyj.com
John Appleby
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.