Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to gabrewer.com

Greg Brewer — Founder · AI Engineer · ranked by shared content topics & relevance
74match
kaandincer.com
Kaan Dincer — Engineer & Founder
2 shared topicsartificial-intelligence
73match
mtreiber.com
Matt Treiber — Founding Engineer
2 shared topicsartificial-intelligence
72match
ashutoshmishra.tech
Ashutosh Mishra — Founder & Engineer
2 shared topicsartificial-intelligence
72match
mr-holdem.com
Alexander Furmanov — Systems Engineer · Founder of Rhizome Lab
2 shared topicsartificial-intelligence
71match
atakanozalan.com
Atakan Özalan — Multi-agent AI engineer & co-founder, GOGOGO LLC
2 shared topicsartificial-intelligence
71match
hmelloguazzelli.com
Henrique Guazzelli — AI Engineer
2 shared topicsartificial-intelligence
71match
ashpathak.dev
Ashutosh Pathak — AI Engineer
2 shared topicsartificial-intelligence
71match
brunoartacho.com
Bruno Artacho · AI/ML Engineering Leader · AI-Native Builder · Founder
2 shared topicsartificial-intelligence
70match
lucasrabay.dev
Lucas Rabay Butcher — AI Engineer & Builder
2 shared topicsartificial-intelligence
70match
abdulmoiz.tech
Abdul Moiz — Full-Stack + AI Engineer
2 shared topicsartificial-intelligence
70match
adriangaitan.dev
Adrian Gaitan — Full Stack & AI Engineer
2 shared topicsartificial-intelligence
70match
alejandro.software
Alejandro Morales — AI Engineer
2 shared topicsartificial-intelligence
70match
paigeblum.com
Paige Blum - AI Engineer
2 shared topicsartificial-intelligence
70match
theanskhan.com
Muhammad Ans Khan — Full-Stack AI Engineer
2 shared topicsartificial-intelligence
70match
louaylabs.dev
Louay Labs — Applied AI Engineer & Tech Lead
2 shared topicstechnology-and-computing
69match
1-800-design.com
Greg Christian | Design Director & AI Engineer
2 shared topicsartificial-intelligence
69match
adnankhan.me
Adnan Khan — AI Engineering Leader · DevSecOps · Agentic AI
2 shared topicsartificial-intelligence
69match
adityamogha.dev
Aditya Mogha | AI/ML Engineer — Portfolio
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.