Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jacksebben.com

Jack Sebben · ranked by category · tech stack · backlink co-citation
50match
appstitch.dev
Appstitch - Integrate in a better way
0 co-citations2 shared tech1 shared categorysoftware-and-applications
49match
jljdev.com
Jack Johnson - Developer
2 co-citations1 shared tech1 shared categorytechnology-and-computing
47match
kylemanley.com
Welcome to kylemanley.com
2 co-citations1 shared tech1 shared categoryweb-development
47match
jamesshima.com
James Shima
2 co-citations1 shared tech1 shared categorytechnology-and-computing
47match
jasonbaoduy.com
Jason Nguyen | Portfolio
2 co-citations1 shared tech1 shared categorytechnology-and-computing
47match
bintree.io
<title>Personal Profile
2 co-citations1 shared tech1 shared categorytechnology-and-computing
47match
appsofluna.com
Charaka G. - AppsoFluna
2 co-citations1 shared tech1 shared categoryweb-development
47match
bakedbytes.dev
BakedBytes
2 co-citations1 shared tech1 shared categorytechnology-and-computing
47match
devjpsantos.com
Hi! Wellcome!👋
2 co-citations1 shared tech1 shared categorytechnology-and-computing
47match
mattdehaas.dev
Matthew deHaas
2 co-citations1 shared tech1 shared categoryweb-development
45match
joerudling.dev
Joe Rudling - Portfolio
3 co-citations1 shared tech1 shared categoryweb-development
45match
kylejohnsonapps.com
kylejohnson | about me
2 co-citations1 shared tech1 shared categorytechnology-and-computing
45match
jakeardoin.com
Jake Ardoin Homepage
2 co-citations1 shared tech1 shared categorytechnology-and-computing
45match
jlprojectportfolio.com
Portfolio by Jason
2 co-citations1 shared tech1 shared categorytechnology-and-computing
45match
cclnice.com
Charlie
1 co-citations2 shared tech1 shared categorytechnology-and-computing
45match
devnalwa.com
Dev Nalwa
2 co-citations1 shared tech1 shared categoryweb-development
44match
kynetikos.com
Sign in to your account - Kynetikos
1 co-citations2 shared tech1 shared categorytechnology-and-computing
44match
makevoid.com
Francesco 'makevoid' Canessa - Portfolio
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.