Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to gatelmand.com

Olivier Gatelmand – UX Design / Product development · ranked by shared content topics & relevance
68match
shirlxfu.com
Xinyi Fu | Product designer
1 shared topicstechnology-and-computing
68match
platformdev.org
platformdev.org – Platform Development Blog
1 shared topicstechnology-and-computing
67match
7redbits.com
7 Red Bits 📱 – Apple Platforms Development
1 shared topicstechnology-and-computing
67match
annmueller.com
Ann Mueller XR | UX | Product Designer
1 shared topicstechnology-and-computing
67match
bdevega.com
Borja de Vega - Product Designer
1 shared topicstechnology-and-computing
67match
magneticore.com
Magneticore - Development, Operations and Design
1 shared topicstechnology-and-computing
67match
rewlogan.com
Product Designer | rewlogan
1 shared topicstechnology-and-computing
67match
cairdecorp.com
Cairde, LLC – n: (kor-juh): development, done right
1 shared topicstechnology-and-computing
67match
bcdevnotebook.com
BC Development Notebook – Notes by Tonya Bricco-Meske
1 shared topicstechnology-and-computing
67match
nuvizus.com
STAYUX - Product Designer & Architect
1 shared topicstechnology-and-computing
67match
calibra.dev
Calibra – A digital product department at your fingertips
1 shared topicstechnology-and-computing
67match
essenceofcode.com
Essence of Code – Random Thoughts on Software Development
1 shared topicstechnology-and-computing
67match
magiteker.com
Magiteker – Developer Blog
1 shared topicstechnology-and-computing
67match
shaunakdeo.com
Shaunak Deo — Principal Product & UX Designer
1 shared topicstechnology-and-computing
66match
maegic.dev
MAEGIC Development Program
1 shared topicstechnology-and-computing
66match
mohammedzayed.com
Mohammed Zayed | Product Designer at Apple
1 shared topicstechnology-and-computing
66match
surelyshubham.com
Independent Developer & Product Consultant
1 shared topicstechnology-and-computing
66match
reviewbuz.com
REVIEW BUZ – Best product review blog
1 shared topicstechnology-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.