Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to p-nam.com

Nam Pham - Design Researcher · ranked by shared content topics & relevance
72match
reemagokhale.com
Reema Gokhale - Design researcher & strategist
1 shared topicsdesign
72match
aswatipanicker.com
Aswati Panicker – HCI & Design Researcher
1 shared topicsdesign
71match
jueunnam.com
Jueun Nam - Designer
1 shared topicsdesign
70match
egekokel.com
Ege Kökel — Designer & Researcher
1 shared topicsdesign
70match
simonmaidment.com
Simon Maidment: design & research
1 shared topicsdesign
69match
angusdonaldcampbell.com
Angus Donald Campbell - Designer + Educator + Researcher
1 shared topicsdesign
69match
ef-ltd.com
Visual Research & Treatment Design
1 shared topicsdesign
69match
ozanyetkin.com
Ozan Yetkin - Researcher | Developer | Designer
1 shared topicsdesign
69match
ashlyncassity.com
Ashlyn Cassity | Senior UX Designer & Researcher
1 shared topicsdesign
68match
juriedcompetition.com
Research Equipment Design Competition
1 shared topicsdesign
68match
mrigankiraj.com
Mriganki Raj | UX Designer, Researcher & Architect
1 shared topicsdesign
68match
simonjs.com
Simon Scott – Researcher
1 shared topicsdesign
68match
alchemyofconsciousness.com
Human Design Readings
1 shared topicsdesign
68match
buildwithconnective.org
Build With Us - Human-Centered Design Research by Connective
1 shared topicsdesign
68match
junuxd.com
Jun — User Experience Research & Design
1 shared topicsdesign
68match
rebeccafavorito.com
Rebecca Favorito | UX designer, researcher, and leader
1 shared topicsdesign
68match
bythevalley.com
Pablo Portilla del Valle - U/I UX Researcher & Designer
1 shared topicsdesign
68match
attamottamotta.com
attamottamotta | research-and-design
1 shared topicsdesign

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.