Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to dimalevin.com

Dima Levin — Chief AI Officer @ Cone Red · ranked by shared content topics & relevance
71match
pjmonroe.com
Peter James Monroe — Fractional Chief AI Officer
2 shared topicsartificial-intelligence
68match
pkleader.com
Prashanth Krishnamoorthy (PK) — Chief Commercial Officer | AI & Automation Leader
2 shared topicsartificial-intelligence
67match
caioofone.com
CAI of One - AI Leadership Strategy & Implementation for Chief AI Officers
2 shared topicsartificial-intelligence
64match
canet.ai
Lluis Canet — AI & Analytics Leader
2 shared topicsartificial-intelligence
63match
gautamtverma.com
Gautam Verma — Data & AI Catalyst
2 shared topicsartificial-intelligence
63match
mohammadkhodadadi.com
Mohammad Khodadadi — Mo
2 shared topicsartificial-intelligence
63match
oandrew.com
Andrew Oestreicher — AI Product & Growth
2 shared topicsartificial-intelligence
63match
shanemeltonux.com
Shane Melton — UX Research & AI Experience Leadership
2 shared topicsartificial-intelligence
62match
shaniur.com
Shaniur T I M Nabi | Senior Executive & AI Strategist | Bangladesh · Singapore
2 shared topicsartificial-intelligence
62match
gapra.dev
Galih Pranowo — Product Engineering Leader & AI Practitioner
2 shared topicsartificial-intelligence
62match
garymariner.com
Gary L. Mariner II — Executive AI Systems Architecture
2 shared topicsartificial-intelligence
62match
anilpod.com
Anil Podduturi - AI Product Leader & Digital Transformation Executive
2 shared topicsartificial-intelligence
62match
cammind.ai
DecisionMate by CamMind — Simulate strategic decisions before you commit
2 shared topicsartificial-intelligence
62match
moisesprat.dev
Moises Prat | Data & AI Transformation Leader | AI Builder
2 shared topicsartificial-intelligence
62match
responsibleproject.com
Home - The Responsible Innovation Project
2 shared topicsartificial-intelligence
62match
esbenlyhne.com
Esben Lyhne Hougaard
2 shared topicsartificial-intelligence
62match
hemangupadhyay.com
Hemang Upadhyay
2 shared topicsartificial-intelligence
62match
heidipierce.com
Heidi Pierce | AI Governance & Data Strategy Leader
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.