Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jackaldo.com

Jack Aldo · ranked by category · tech stack · backlink co-citation
85match
arpankapoor.com
arpan kapoor
1 co-citations2 shared tech1 shared categoryprogramming-languages
75match
dheerajck.com
Dheeraj C K
1 co-citations2 shared tech1 shared categorytechnology-and-computing
72match
jacknic.com
主页 | Jacknic
1 co-citations1 shared tech1 shared categoryprogramming-languages
71match
kylesureline.com
Kyle Scheuerlein | Full Stack JavaScript Developer
1 co-citations1 shared tech1 shared categoryweb-development
70match
lesma.dev
Lesma — Documentation
1 co-citations2 shared tech1 shared categoryprogramming-languages
70match
lohzhenhao.dev
Portfolio
1 co-citations1 shared tech1 shared categoryweb-development
70match
mativos.com
Antony · Home
1 co-citations2 shared tech1 shared categoryprogramming-languages
70match
mattiabandini.com
Mattia Bandini | CS & Engineering Student
1 co-citations2 shared tech1 shared categorytechnology-and-computing
70match
izenynn.com
izenynn
1 co-citations1 shared tech1 shared categoryprogramming-languages
70match
jan-herlyn.com
Jan's Blog
1 co-citations1 shared tech1 shared categoryprogramming-languages
70match
jamiemoschella.com
Jamie Moschella
1 co-citations1 shared tech1 shared categoryprogramming-languages
70match
jaromirstas.com
Jaromír Staš - Developer Portfolio
1 co-citations2 shared tech1 shared categoryweb-development
70match
jimmyjli.com
Jimmy's Website
1 co-citations1 shared tech1 shared categoryprogramming-languages
70match
haskelldiaspora.com
Haskell Diaspora
1 co-citations1 shared tech1 shared categoryweb-development
70match
hmorin.com
Henry Morin
1 co-citations1 shared tech1 shared categoryprogramming-languages
70match
holylib.com
HolyLib Wiki - HolyLib Wiki
1 co-citations1 shared tech1 shared categoryprogramming-languages
70match
baguette.dev
Home - 🥖
1 co-citations1 shared tech1 shared categoryprogramming-languages
70match
booleano.dev
booleano@arch
1 co-citations1 shared tech1 shared categoryprogramming-languages

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.