Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jasondagger.com

Jason Dagger - Home · ranked by category · tech stack · backlink co-citation
49match
devkitone.com
DEVKITONE - Home
0 co-citations5 shared tech2 shared categorytechnology-and-computing
46match
jasonbain.com
JasonBain.com - Home
0 co-citations5 shared tech1 shared categorytechnology-and-computing
44match
matillc.com
MATI, LLC - Home
0 co-citations5 shared tech1 shared categoryweb-development
44match
devmanagerpodcast.com
DEV MANAGER PODCAST - Home
0 co-citations5 shared tech1 shared categorytechnology-and-computing
43match
festa-engineering.com
www.festa-engineering.de - Home
0 co-citations5 shared tech1 shared categoryweb-development
42match
janax.com
Home
0 co-citations5 shared tech1 shared categoryweb-design-and-html
42match
devyschonfeld.com
Home
0 co-citations5 shared tech1 shared categorytechnology-and-computing
42match
figureitoutvat.com
HOME
0 co-citations5 shared tech1 shared categoryinformation-and-network-security
41match
jasonify.com
Jason Bautista
0 co-citations3 shared tech2 shared categorytechnology-and-computing
40match
arpanvaidya.com
Arpan Vaidya - Arpan Vaidya
0 co-citations4 shared tech2 shared categoryweb-development
40match
applytix.net
Applytix - Unlock User Behavior. Drive Better Decisions.
0 co-citations4 shared tech2 shared categoryweb-development
40match
apptechpmua.com
apptechpmua
0 co-citations4 shared tech2 shared categoryweb-development
40match
devkit.app
DevKit
0 co-citations4 shared tech2 shared categorytechnology-and-computing
40match
devkit.com
DevKit
0 co-citations4 shared tech2 shared categorytechnology-and-computing
40match
devkit.dev
DevKit
0 co-citations4 shared tech2 shared categorytechnology-and-computing
39match
georgeguja.com
George Guja | Home
0 co-citations4 shared tech2 shared categorytechnology-and-computing
39match
hatzaviv.com
Hatzav Aviv
1 co-citations3 shared tech2 shared categorytechnology-and-computing
38match
marcustxk.com
Marcus Tang's Portfolio | Home
0 co-citations4 shared tech2 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.