Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to renedeanda.com

René DeAnda | AI Product Manager · ranked by shared content topics & relevance
77match
jskalra.com
JK — AI Product Manager
2 shared topicsartificial-intelligence
74match
bryanmany.com
Bryan Many | Product Manager
2 shared topicstechnology-and-computing
73match
cosminpm.com
Cosmin Pertz – AI Product Manager
2 shared topicsartificial-intelligence
72match
juliomezameza.com
Julio Meza | AI Product Manager & Solutions Architect | Folio Codex
2 shared topicsartificial-intelligence
70match
lucaspradel.com
Lucas Pradel — AI Product Manager & Technical Program Manager
2 shared topicsartificial-intelligence
70match
lucasepradel.com
Lucas Pradel — AI Product Manager & Technical Program Manager
2 shared topicsartificial-intelligence
69match
agentivestack.ai
AgentiveStack - AI Product Lab
2 shared topicsartificial-intelligence
69match
courtneyko.com
Courtney Ko | AI Product & Automation Builder
2 shared topicsartificial-intelligence
68match
adam-tracht.com
Adam Tracht | AI & Digital Product Leader
2 shared topicsartificial-intelligence
68match
adhyyankumar.com
Adhyyan Kumar | AI + Full-Stack Product Builder
2 shared topicstechnology-and-computing
67match
reineed.com
Prompteams - Your AI Prompt Management System
2 shared topicsartificial-intelligence
67match
buildwithshashank.com
Shashank Shekhar | AI-Native Product Engineer
2 shared topicsartificial-intelligence
67match
ejiro-gbenedio.com
Ejiro Gbenedio – a blog exploring BI product management, developments, tools & strategy
2 shared topicsartificial-intelligence
67match
longtreelabs.com
LongTree Labs | AI-Native Research & Product Studio
2 shared topicsartificial-intelligence
67match
builtbybash.dev
David Bash - Product & AI Engineer
2 shared topicsartificial-intelligence
67match
theaixproduct.com
AI x Product | Ishan | Substack
2 shared topicsartificial-intelligence
66match
hiwyse.com
Hiwyse | Intelligent Product Studio
2 shared topicsartificial-intelligence
66match
albertabedi.dev
Albert Abedi | Product + Engineering
2 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.