Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to rgimbel.com

Roger Gimbel — Virtual Forward-Deployed Engineer · ranked by shared content topics & relevance
76match
kuanyu.dev
kuanyu.dev — forward-deployed AI engineer
1 shared topicsartificial-intelligence
75match
rolandomoreno.com
Rolando Moreno — Forward-deployed AI engineer
1 shared topicsartificial-intelligence
71match
theragbook.com
The RAG Book — The Field Manual for Forward Deployed AI Engineers
1 shared topicsartificial-intelligence
71match
felixastner.com
Felix Astner — Forward Deployed Engineer · AI & E-Commerce | Felix Astner
1 shared topicsartificial-intelligence
70match
neurogtm.com
NeuroGTM | Forward-Deployed AI for Revenue Teams
1 shared topicsartificial-intelligence
70match
biizz.cloud
Chain Strategy – Forward Deployment Engineering
1 shared topicsartificial-intelligence
69match
aleksandrfeldman.com
Alex Feldman | Forward-Deployed Product Manager
1 shared topicsartificial-intelligence
68match
federatedengineers.com
Federated Engineers
1 shared topicsartificial-intelligence
68match
fennec-engineering.com
Strategic Enablement for Physical & Virtual AI | Fennec Engineering
1 shared topicsartificial-intelligence
68match
fitpreview.app
Fit Preview AI — Virtual try-on
1 shared topicsartificial-intelligence
68match
rojandahal.com
Rojan Dahal — AI Engineer
1 shared topicsartificial-intelligence
68match
tomasbarak.com
Tomás Barak — AI Engineer
1 shared topicsartificial-intelligence
68match
cloudgeng.com
CloudGeng — AI-Powered Engineering Optimization
1 shared topicsartificial-intelligence
68match
matthouse.dev
Matt House — AI Engineer
1 shared topicsartificial-intelligence
68match
alexanderpaulprojectcv.com
Alexander Paul — AI Engineer & Founder
1 shared topicsartificial-intelligence
68match
alexjensen.me
Alex Jensen — AI Engineer
1 shared topicsartificial-intelligence
68match
adarsh-s.tech
Adarsh S — AI Engineer
1 shared topicsartificial-intelligence
68match
kulinski.dev
DK — AI Engineer & Architect
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.