Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to teyepe.com

Tasos Dervenagas · ranked by shared content topics & relevance
67match
bickovs.com
Maris Bickovs — Product Designer
1 shared topicsdesign
67match
eugenesanu.com
Eugen Eşanu — Design Partner for Ambitious Products
1 shared topicsdesign
67match
andrewrench.com
Andy Rench – Full Stack Lead Designer: Product, UX, and visual design
1 shared topicsdesign
67match
nabauer.com
Nate Bauer | Lead Product Designer
1 shared topicsdesign
67match
tfradet.com
Portfolio
1 shared topicsdesign
66match
ammarnaseem.com
Ammar Naseem | Lead Product Designer in Toronto | UX & AI Design
1 shared topicsdesign
66match
andyryanweir.com
Andy Weir, Product Designer
1 shared topicsdesign
66match
evenasdesign.com
Evenas Design
1 shared topicsdesign
66match
dennisdelgado.com
Dennis Delgado | Senior Product Designer & Product Strategist
1 shared topicsdesign
66match
designwithrina.com
Design With Rina, Build Digital Products & Design System
1 shared topicsdesign
66match
anikroy.com
Anik Roy - Senior Product Designer | UX/UI Portfolio
1 shared topicsdesign
66match
nargeskheirkhahan.com
Home - Narges Design
1 shared topicsdesign
66match
arielswork.tech
Ariel | Product Designer + Builder
1 shared topicsdesign
66match
ankitabhagwat.com
Ankita Bhagwat — Product Designer Portfolio
1 shared topicsdesign
66match
ashishkhoshya.com
Ashish Khoshya — Senior Product Designer
1 shared topicsdesign
66match
betayee.com
Beta Yee – Selected Works
1 shared topicsdesign
66match
remipjp.com
Remi Perrichon
1 shared topicsdesign
66match
patkos.com
Patkos 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.