Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to nicolasemi.dev

Nicolás Emiliani | Fullstack AI Engineer · ranked by shared content topics & relevance
76match
airbornharsh.com
Harsh Keshri | Full Stack & AI Engineer
2 shared topicsweb-development
74match
ankitsh.dev
Ankit Sharma | Full Stack & AI Engineer
2 shared topicsweb-development
74match
aasp.ai
Your Full Stack AI Engineer
2 shared topicsartificial-intelligence
73match
codesforprogress.com
Shakil Ahmed | Expert Full Stack AI Engineer
2 shared topicsweb-development
72match
abdulhadisaqib.tech
Abdul Hadi Saqib | Full Stack Developer & AI Engineer
2 shared topicsartificial-intelligence
72match
roshanmanglani.com
Roshan Manglani | Full-Stack Software Engineer & AI Developer
2 shared topicsartificial-intelligence
72match
benzinebwajdi.dev
Wajdi Ben Zineb | Full-Stack Developer & AI Engineer
2 shared topicsweb-development
72match
abdigetu.com
Abdi Getu | Full-Stack Developer & AI Engineer Portfolio
2 shared topicsweb-development
72match
aayushmohan.dev
Aayush Mohan | Full-Stack Developer & AI Engineer
2 shared topicsweb-development
72match
adnankabbani.dev
Adnan M. Kabbani | Full-Stack Engineer & AI/ML Specialist
2 shared topicsweb-development
72match
codexdhruv.dev
Dhruv Sen — Full-Stack Developer & AI Engineer
2 shared topicsweb-development
72match
piercedoman.com
Pierce Doman — Full Stack Developer & AI Engineer
2 shared topicsweb-development
72match
5hahil.com
Shahil Sham · Fullstack Engineer × AI Workflows
2 shared topicsweb-development
71match
fayeed.dev
Fayeed Pawaskar | Full-Stack Engineer
2 shared topicsartificial-intelligence
71match
adityachaudhari.tech
Aditya Chaudhari | Full-Stack Developer & AI/ML Engineer
2 shared topicsweb-development
70match
fayzanaliakhtar.com
Fayzan Ali Akhtar - AI Engineer & Full-Stack Developer
2 shared topicsweb-development
70match
abdalkader.dev
Abdalkader Alhamoud | AI Engineer & Full-Stack Developer
2 shared topicsartificial-intelligence
70match
kylanthomsondev.com
Kylan Thomson | Full Stack Software Engineer & AI Architect
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.