Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to amynpinder.com

Amy Pinder, Product in Minneapolis · ranked by shared content topics & relevance
100match
amypinder.com
Amy Pinder, Product in Minneapolis
1 shared topicstechnology-and-computing
67match
chengdai.dev
Cheng Dai — Product Engineer
1 shared topicstechnology-and-computing
67match
kindrail.com
Kindrail — Product Studio
1 shared topicstechnology-and-computing
67match
narjitaujla.com
Narjit Aujla - Product Leader
1 shared topicstechnology-and-computing
67match
pengwings.com
Pengwings | Product Studio
1 shared topicstechnology-and-computing
67match
2bunsllc.com
2Buns LLC — Independent Product Studio
1 shared topicstechnology-and-computing
67match
peakampersand.com
Ampersand | Developer platform for Native Product Integrations
1 shared topicstechnology-and-computing
67match
simpledpp.com
Simpledpp.com – EU Digital Product Passport Generator
1 shared topicstechnology-and-computing
66match
adityabalki.tech
Retro Portfolio | Product Designer
1 shared topicstechnology-and-computing
66match
andrapra.dev
Andra Pradana - Engineer & Product Builder
1 shared topicstechnology-and-computing
66match
aaronprice.org
Aaron Michael Price | Blog and Product Updates
1 shared topicstechnology-and-computing
66match
andrewjmcgehee.com
Andrew McGehee — Product Engineer
1 shared topicstechnology-and-computing
66match
devikalal.com
Devika Lal — Product Leader, Builder, Explorer
1 shared topicstechnology-and-computing
66match
technologystuff.co.uk 🇬🇧
Tech Stuff - tech, news, productivity, views and stuff
1 shared topicstechnology-and-computing
66match
alekforgrowth.com
Alek Darr — Product Manager & Builder
1 shared topicstechnology-and-computing
66match
bigalsbank.com
Alek Darr — Product Manager & Builder
1 shared topicstechnology-and-computing
66match
peculiarvivek.com
Vivek Khatri | Product Engineer
1 shared topicstechnology-and-computing
66match
ethangorman.com
Ethan Gorman — Product Engineer
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.