Piperic Business Intelligence
similar sites
‹ profile

Sites similar to jasongaylor.com

Jason Gaylor—Designs for people · ranked by category · tech stack · backlink co-citation
58match
apologuefx.com
Apologue FX
2 co-citations6 shared tech2 shared categorydesign
57match
elijahcruzado.com
Elijah Cruzado: Product Design Portfolio
2 co-citations4 shared tech2 shared categorydesign
55match
guldstudio.com
GULD STUDIO | Strategic Creative Agency
1 co-citations8 shared tech2 shared categorydesign
55match
gregkolls.com
Greg Kolls - UI/UX Designer
1 co-citations8 shared tech2 shared categorydesign
54match
felipedomingues.com
Felipe Domingues - Product Designer
1 co-citations7 shared tech2 shared categorydesign
54match
joepinelli.com
Joe Pinelli | Senior Product Designer
1 co-citations7 shared tech2 shared categorydesign
54match
hazeldendesign.com
Hazelden-Design
1 co-citations6 shared tech2 shared categorydesign
54match
jiinjane.com
Jane Kim - Product Designer
1 co-citations7 shared tech2 shared categorydesign
53match
arberdesign.com
Arber Kasumaj | Digital Designer
1 co-citations6 shared tech2 shared categorydesign
53match
gemobu.com
Gerardo Morales | User Experience Designer
1 co-citations6 shared tech2 shared categorydesign
53match
kelliekowalski.com
Accessible UX/UI Design for Ecommerce & Hospitality | Kellie Kowalski
1 co-citations8 shared tech2 shared categorydesign
52match
margaretfu.com
Margaret Fu - Product Designer
2 co-citations7 shared tech1 shared categorydesign
52match
jamie-neasham.com
Jamie Neasham | UX/UI Designer
1 co-citations7 shared tech2 shared categorydesign
52match
juliasakalus.com
Julia Sakalus
1 co-citations7 shared tech2 shared categorydesign
52match
ceciledesign.com
Ceciledesign
1 co-citations6 shared tech2 shared categorydesign
52match
anurag08.com
Anurag Chakraborty – Product Designer | UX Case Studies & Portfolio
2 co-citations5 shared tech2 shared categorydesign
51match
jansenb.com
Portfolio Bart Jansen | UX Designer
1 co-citations7 shared tech2 shared categorydesign
51match
baileez.com
Bailee Ziegenhagel | Product Designer
1 co-citations7 shared tech2 shared categorydesign

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.