Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to donteburney.com

Donte Burney — Full-Stack Gen AI Engineer | React · TypeScript · LLMs · Node.js · ranked by shared content topics & relevance
73match
rolilink.com
Rolando Perez - Typescript Full-Stack Engineer
2 shared topicsweb-development
72match
mayurkarmakar.com
Mayur Karmakar - Full-Stack Engineer | Applied AI
2 shared topicsweb-development
72match
aayushmohan.dev
Aayush Mohan | Full-Stack Developer & AI Engineer
2 shared topicsweb-development
71match
sohamratnaparkhi.com
Soham Ratnaparkhi - AI & Full-Stack Engineer | Innovator
2 shared topicsartificial-intelligence
71match
fazilsyed.com
Fazil Syed Kaiser - AI Engineer | LLM Applications, Agentic Systems & Full-Stack
2 shared topicsartificial-intelligence
71match
kwesi.dev
Kwesi Owusu — Full-Stack Software Engineer
2 shared topicsweb-development
71match
bhavikmehta.dev
Bhavik Mehta — Full-Stack Developer & AI Engineer
2 shared topicsweb-development
70match
alex-metzger.com
Alex Metzger — AI Developer & Full-Stack Engineer
2 shared topicsweb-development
70match
adityachaudhari.tech
Aditya Chaudhari | Full-Stack Developer & AI/ML Engineer
2 shared topicsweb-development
70match
fayeed.dev
Fayeed Pawaskar | Full-Stack Engineer
2 shared topicsartificial-intelligence
70match
piercedoman.com
Pierce Doman — Full Stack Developer & AI Engineer
2 shared topicsweb-development
70match
benzinebwajdi.dev
Wajdi Ben Zineb | Full-Stack Developer & AI Engineer
2 shared topicsweb-development
69match
abdulhadisaqib.tech
Abdul Hadi Saqib | Full Stack Developer & AI Engineer
2 shared topicsartificial-intelligence
69match
abdurrehman.dev
Abdur Rehman — Full-Stack SaaS & AI Developer
2 shared topicsweb-development
69match
adrielmagalona.dev
Adriel Magalona - Full-stack Developer & AI Engineer | Portfolio
2 shared topicsweb-development
69match
fayzanaliakhtar.com
Fayzan Ali Akhtar - AI Engineer & Full-Stack Developer
2 shared topicsweb-development
69match
abdulzacky.dev
Abdul Zacky - AI/ML Engineer & Full-Stack Developer
2 shared topicsartificial-intelligence
69match
ankitsh.dev
Ankit Sharma | Full Stack & AI Engineer
2 shared topicsweb-development

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.