Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to petermarciniak.com

Peter Marc — Senior Product Designer for fintech & startups · ranked by shared content topics & relevance
68match
juliedimemmo.com
Julie DiMemmo | Product Designer | Enterprise SaaS & Complex Workflows
1 shared topicsbusiness
68match
alexms.digital
Alex - Leading Design for Scalable Products & Platforms
1 shared topicsbusiness
67match
alexdshernandez.com
Alex Hernandez ⋆。°✩ Product Designer
1 shared topicsbusiness
66match
bundlesyncer.com
Bundle Flow — Smart Product Bundles for TiendaNube
1 shared topicsbusiness
66match
juancarlogarcia.com
Juan Carlo Garcia — Solution Architect · Technical Lead · Senior Manager
1 shared topicsbusiness
66match
ecomsource.ai
ASIN to UPC API & Product Data API — B2B Barcode Lookup
1 shared topicsbusiness
66match
multioriginteam.com
MultiOrigin Partners — Strategic Multi-Origin Sourcing for Premium Products
1 shared topicsbusiness
66match
multioriginpartners.com
MultiOrigin Partners — Strategic Multi-Origin Sourcing for Premium Products
1 shared topicsbusiness
66match
ecattechsolutions.com
SuperCat — The commercial operating system for product brands
1 shared topicsbusiness
66match
ecomxray.io
EcomXray — Real-Time Product Insights for Shopify
1 shared topicsbusiness
66match
recallkit.com
RecallKit - Corrective Action Plan (CAP) Platform for Product Recalls
1 shared topicsbusiness
66match
reebproductions.com
Reeb Productions — Beautifully Designed Digital Products
1 shared topicsbusiness
66match
rebeccahsiho.com
Rebecca Hsiho Design
1 shared topicsbusiness
65match
bundlemore.com
Bundlemore — Product Bundles for Shopify
1 shared topicsbusiness
65match
corybagozzi.com
Cory Bagozzi - Builder & Full Stack Product Manager - Cory Bagozzi
1 shared topicsbusiness
65match
ebayvc.com
Choose a Name for your New Company or Product - namesandbrands.ai
1 shared topicsbusiness
65match
juanlarreapm.com
Juan Larrea | Product Manager
1 shared topicsbusiness
65match
thearuneshk.com
Arunesh Kumar — Product Manager | Growth & Digital Strategy
1 shared topicsbusiness

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.