Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jacksleeman.com

Jack Sleeman Portfolio · ranked by category · tech stack · backlink co-citation
80match
jlprojectportfolio.com
Portfolio by Jason
3 co-citations1 shared tech1 shared categorytechnology-and-computing
77match
jirjies.com
Saman Jirjies
3 co-citations1 shared tech2 shared categorytechnology-and-computing
76match
kennykaijage.com
Kenny Kaijage
3 co-citations1 shared tech2 shared categorytechnology-and-computing
76match
eltonlee.com
Elton Lee's porfolio
2 co-citations1 shared tech2 shared categorytechnology-and-computing
75match
jakeardoin.com
Jake Ardoin Homepage
3 co-citations1 shared tech1 shared categorytechnology-and-computing
75match
jljdev.com
Jack Johnson - Developer
2 co-citations1 shared tech2 shared categorytechnology-and-computing
73match
bintree.io
<title>Personal Profile
2 co-citations1 shared tech2 shared categorytechnology-and-computing
71match
joeekiert.com
Joe Ekiert
3 co-citations1 shared tech2 shared categoryweb-development
70match
jamiekong.dev
Portfolio | Jamie Kong
3 co-citations1 shared tech0 shared category3-d-graphics
69match
jasonbaoduy.com
Jason Nguyen | Portfolio
2 co-citations1 shared tech1 shared categorytechnology-and-computing
66match
maliha.dev
Maliha Omair
3 co-citations1 shared tech1 shared categoryprogramming-languages
66match
jamie-osborne.com
Massively by HTML5 UP
3 co-citations1 shared tech1 shared categorytechnology-and-computing
66match
jayabose.com
Read Only by HTML5 UP
3 co-citations1 shared tech1 shared categoryweb-development
66match
jemcodes.com
jemcodes
3 co-citations1 shared tech1 shared categorytechnology-and-computing
66match
borssoftware.com
BORS software
3 co-citations1 shared tech1 shared categorysoftware-and-applications
66match
devinhite.com
Devin Hite
3 co-citations1 shared tech1 shared categorytechnology-and-computing
65match
kelcdonegan.com
Kelsey Charles Donegan
3 co-citations1 shared tech0 shared categoryweb-design-and-html
65match
malwarestudios.com
mlws.io
3 co-citations1 shared tech0 shared categoryinformation-and-network-security

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.