Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to austintmoore.com

Austin Moore | AI Engineer & Data Scientist · ranked by shared content topics & relevance
75match
aaryanwadhwani.dev
Aaryan Wadhwani - Software Engineer & Data Scientist
2 shared topicstechnology-and-computing
75match
junclemente.com
Jun Clemente | Applied Data Scientist
2 shared topicsartificial-intelligence
74match
kabirmoghe.com
Kabir Moghe | AI Engineer & Developer
2 shared topicsartificial-intelligence
73match
simplysuvi.com
Suvrat Jain | Data Scientist & AI/ML Engineer
2 shared topicsartificial-intelligence
73match
jrauvola.com
Josh Rauvola | AI Engineer & Researcher
2 shared topicsartificial-intelligence
72match
asutoshnayak.com
Asutosh Nayak | AI Engineer & Tech Lead
2 shared topicsartificial-intelligence
72match
craigdroke.com
Craig Droke | Data Scientist
2 shared topicstechnology-and-computing
72match
ankitsneh.tech
Ankit Sneh | AI/ML Engineer & DevOps
2 shared topicsartificial-intelligence
72match
muaazshaikh.com
Muaaz Shaikh | AI Engineer & Builder
2 shared topicsartificial-intelligence
72match
thanhtech.cloud
Lê Việt Thành | AI Engineer & DevOps
2 shared topicsartificial-intelligence
72match
pankajdixit.com
Pankaj Dixit | AI Engineer & Full-Stack Developer
2 shared topicsartificial-intelligence
72match
fullspectrumdatascientist.com
Full Spectrum Data Scientist
2 shared topicsartificial-intelligence
71match
louaylabs.dev
Louay Labs — Applied AI Engineer & Tech Lead
2 shared topicstechnology-and-computing
71match
mtnliontech.com
Mountain Lion Tech - Data Science & Engineering Consulting
2 shared topicstechnology-and-computing
71match
anishraj.info
Anish Raj | India | Dooma | AI Engineer | Open Sour...
2 shared topicsartificial-intelligence
71match
fsabado.com
Francis Sabado — Software Engineer & AI Engineer
2 shared topicsartificial-intelligence
70match
adarshjohny.com
Adarsh Johny - AI Engineer & Full-Stack Innovator
2 shared topicsartificial-intelligence
70match
ashpathak.dev
Ashutosh Pathak — AI Engineer
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.