Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to refatbhuyan.com

Refat Bhuyan — Full-Stack Developer & AI Engineer · ranked by shared content topics & relevance
78match
bryanedman.com
Bryan Edman — Full-Stack Developer
2 shared topicsartificial-intelligence
76match
abdulmoiz.tech
Abdul Moiz — Full-Stack + AI Engineer
2 shared topicsartificial-intelligence
76match
aditya30ag.tech
Aditya Agrawal - AI / ML Engineer & Full-Stack Developer
2 shared topicsartificial-intelligence
76match
adriangaitan.dev
Adrian Gaitan — Full Stack & AI Engineer
2 shared topicsartificial-intelligence
76match
reghunaath.com
Reghunaath — Full-Stack Developer
2 shared topicstechnology-and-computing
74match
mrbilalali.com
Mr Bilal Ali - AI Engineer & Full Stack Developer
2 shared topicsartificial-intelligence
74match
mujtabashamas.com
Mujtaba Shamas | Senior Full Stack Developer & AI Integration Engineer
2 shared topicsartificial-intelligence
74match
simeonwong.com
Simeon Wong | Full-stack AI Engineer
2 shared topicsartificial-intelligence
74match
simeon.dev
Simeon Wong | Full-stack AI Engineer
2 shared topicsartificial-intelligence
74match
adarshjohny.com
Adarsh Johny - AI Engineer & Full-Stack Innovator
2 shared topicsartificial-intelligence
74match
eftekin.com
Mustafa Eftekin - AI & Full-Stack Developer
2 shared topicsartificial-intelligence
74match
ludik.dev
Jacques Ludik | Data Engineer & Full Stack Developer
2 shared topicsartificial-intelligence
73match
owenlee.dev
Owen Lee — Full-Stack Software Engineer
2 shared topicstechnology-and-computing
73match
kabirmoghe.com
Kabir Moghe | AI Engineer & Developer
2 shared topicsartificial-intelligence
73match
ekamanda.dev
Emmanuel Kamanda | AI/ML & Full-Stack Developer
2 shared topicsartificial-intelligence
72match
adamspeerweb.dev
Adam Speer | AI & Automation Engineer | Full Stack Developer
2 shared topicsartificial-intelligence
72match
lorenzoprice.com
Lorenzo Price - Systems Engineer | Machine Learning & Full-Stack Developer
2 shared topicsartificial-intelligence
72match
buildwithduke.com
BuildWithDuke - Full Stack Developer & AI/ML Explorer
2 shared topicstechnology-and-computing

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.