Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to danielherdenez.com

Daniel Herdenez — Product Manager · AI & SaaS · ranked by shared content topics & relevance
74match
alexdarmon.net
Alexandre Darmon — AI Product Manager
1 shared topicsartificial-intelligence
74match
arpitashekhar.com
Arpita Shekhar — AI Product Manager Portfolio
1 shared topicsartificial-intelligence
74match
rmaganti.com
Ram Maganti — Senior AI Product Manager
1 shared topicsartificial-intelligence
74match
mauliktanna.com
Maulik Tanna | Product Manager
1 shared topicsartificial-intelligence
73match
arnauvgilotra.com
Arnauv Gilotra | Product Manager
1 shared topicsartificial-intelligence
73match
arjunlohan.com
Arjun Lohan: Lead Product Manager, AI & Platform
1 shared topicsartificial-intelligence
73match
rorysemeah.com
Rory Semeah | AI Technical Product Manager
1 shared topicsartificial-intelligence
72match
fengyeworks.com
Feng Ye | AI Product Manager & Solution Architect
1 shared topicsartificial-intelligence
72match
theproductlane.com
Lasith Jayarathne — Principal Product Manager, AI Products
1 shared topicsartificial-intelligence
72match
divyasrirampatel.com
Divya Sriram Patel — Senior AI Product Manager
1 shared topicsartificial-intelligence
72match
felipeeve.com
Felipe Eve — Senior AI Product Manager
1 shared topicsartificial-intelligence
72match
akshaykrgoel.com
Akshay Kr. Goel - Product Manager
1 shared topicsartificial-intelligence
72match
me-jakubliska.com
Jakub Liška | Product Manager & AI Innovation Expert
1 shared topicsartificial-intelligence
72match
abhishek221b.app
Abhishek Sengupta | Global Product Manager & AI Builder
1 shared topicsartificial-intelligence
71match
ariunzaya.com
Ariunzaya Batbold — AI Product Manager & Builder
1 shared topicsartificial-intelligence
71match
felipefaraone.com
Felipe Faraone, Senior Product Manager
1 shared topicsartificial-intelligence
71match
robertromulus.com
Robert Romulus | AI Product Manager & Technical Builder
1 shared topicsartificial-intelligence
71match
rohitpathak.com
Rohit Pathak - Senior Product Manager
1 shared topicsartificial-intelligence

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.