Piperic
similar sites
‹ profile

Sites similar to kelfassi.com

Zak El Fassi | Systems Engineering for the Agentic AI Age · ranked by shared content topics & relevance
100match
informationbeings.com
Zak El Fassi | Systems Engineering for the Agentic AI Age
2 shared topicsartificial-intelligence
72match
2rhino.com
2RHINO | Creative Systems Engineering for Worldmakers
2 shared topicsartificial-intelligence
70match
orbit1lab.com
Orbit1Lab - Engineering Intelligent Systems
2 shared topicsartificial-intelligence
70match
bitfashioned.com
BitFashioned | Web3 Engineering & AI Systems
2 shared topicsartificial-intelligence
70match
sbyoon.com
Aiden Yoon | Systems Developer & AI Engineer
2 shared topicsartificial-intelligence
70match
ajegetina.dev
Joseph Ajegetina Ajongba | Intelligent Systems Engineer
2 shared topicsartificial-intelligence
70match
rocio-mendez.com
Rocío Méndez - Systems Engineer
2 shared topicsartificial-intelligence
70match
gantrydev.com
Platform Engineering for Startups | Gantry
2 shared topicsartificial-intelligence
70match
gantryops.dev
Platform Engineering for Startups | Gantry
2 shared topicsartificial-intelligence
70match
nitishworks.com
Nitish Mudaliar | System Engineer & AI Builder
2 shared topicsartificial-intelligence
70match
quantaimlabs.com
QuantAimLabs — AI DevOps & Platform Engineering for Teams That Move
2 shared topicsartificial-intelligence
69match
oriziv.com
Ori Ziv — AI Builder & Engineering Leader
2 shared topicsartificial-intelligence
69match
drava.ai
Drava — AI Agents Built for the Real World
2 shared topicsartificial-intelligence
69match
maxnardit.com
Max Nardit — Data & AI Systems Engineer
2 shared topicsartificial-intelligence
69match
alainbrown.com
Alain Brown | software engineer building ai systems
2 shared topicsartificial-intelligence
69match
deepdual.ai
DeepDual | AI Engineering for Your Use Case
2 shared topicsartificial-intelligence
69match
noblehaker.com
Noble Haker — Intelligent Systems Engineering
2 shared topicstechnology-and-computing
69match
jenxzgroup.com
RTJ AI Engineer | Agentic AI Systems, Automation & Analytics Dashboards | Jenxz Group
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.