Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to bwarner.dev

Brandon Warner - Solutions Engineer & Problem-Solver at Heart · ranked by shared content topics & relevance
68match
ankitsneh.tech
Ankit Sneh | AI/ML Engineer & DevOps
2 shared topicsartificial-intelligence
67match
adenverdev.com
Andrew Nelson — engineer & linguist
2 shared topicstechnology-and-computing
67match
lucasmassiverod.com
Luca Lowndes - Software Engineer & AI Researcher
2 shared topicsartificial-intelligence
67match
thanhtech.cloud
Lê Việt Thành | AI Engineer & DevOps
2 shared topicsartificial-intelligence
67match
thamu.dev
Thamu Mnyulwa: Machine Learning Engineer | Solution driven developer.
2 shared topicsartificial-intelligence
67match
ashfakshibli.com
Ashfak Md Shibli - Software Engineer & Researcher
2 shared topicstechnology-and-computing
67match
luciengeorge.com
Lucien George | Senior Product Engineer at Fyxer
2 shared topicstechnology-and-computing
67match
lucien.dev
Lucien George | Senior Product Engineer at Fyxer
2 shared topicstechnology-and-computing
67match
lucien-george.com
Lucien George | Senior Product Engineer at Fyxer
2 shared topicstechnology-and-computing
67match
msaqlain.com
Mohammed Saqlain | AI Engineer
2 shared topicsartificial-intelligence
67match
aaryanwadhwani.dev
Aaryan Wadhwani - Software Engineer & Data Scientist
2 shared topicstechnology-and-computing
66match
lopezscala.com
Facundo Lopez Scala | Product Engineer & CEO at Bugster
2 shared topicstechnology-and-computing
66match
muaazshaikh.com
Muaaz Shaikh | AI Engineer & Builder
2 shared topicsartificial-intelligence
66match
1osolutions.tech
1° Solutions
2 shared topicsartificial-intelligence
66match
build-tech.dev
Build - Modern IT Solutions
2 shared topicsartificial-intelligence
66match
junwhanahn.com
Junwhan Ahn - Distinguished Software Engineer at Google
2 shared topicsartificial-intelligence
66match
lucasrabay.dev
Lucas Rabay Butcher — AI Engineer & Builder
2 shared topicsartificial-intelligence
66match
mousaaricat.com
Mousa Aricat | Automation Engineer & AI Developer
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.