Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to alfred-brad.dev

Alfred Brad - AI Developer & SaaS Builder · ranked by shared content topics & relevance
72match
bichitrabehera.dev
Bichitra Behera | Full-Stack Developer & AI Builder
2 shared topicsweb-development
72match
bharatkumar.tech
Bharat Kumar — Full Stack Developer | AI Systems Builder
2 shared topicsweb-development
71match
abdurrehman.dev
Abdur Rehman — Full-Stack SaaS & AI Developer
2 shared topicsweb-development
71match
rntejas.com
Tejas Naik (RN Tejas) — AI Web Developer, SaaS Builder & Coding Educator
2 shared topicsweb-development
71match
alex-metzger.com
Alex Metzger — AI Developer & Full-Stack Engineer
2 shared topicsweb-development
71match
aakashdeepyadav.dev
Aakash Deep Yadav - Full Stack Developer & AI Builder | Portfolio
2 shared topicsweb-development
70match
fayzanaliakhtar.com
Fayzan Ali Akhtar - AI Engineer & Full-Stack Developer
2 shared topicsweb-development
70match
abhayp.tech
Abhay Parekh | Full-Stack Developer & AI/ML
2 shared topicsweb-development
70match
asrithcheepurupalli.tech
Asrith Cheepurupalli | Full-Stack Developer & AI Engineer
2 shared topicsweb-development
70match
bhavyashah.dev
Bhavya Shah | Software & Ai Developer
2 shared topicsweb-development
70match
aayushmohan.dev
Aayush Mohan | Full-Stack Developer & AI Engineer
2 shared topicsweb-development
70match
arnaullopart.com
Arnau Llopart – Developer & Entrepreneur
2 shared topicsweb-development
70match
gulfaam.dev
Gulfaam | Full-Stack Developer & AI Specialist
2 shared topicsweb-development
70match
abdulhadisaqib.tech
Abdul Hadi Saqib | Full Stack Developer & AI Engineer
2 shared topicsartificial-intelligence
70match
ksheri.com
Shaheer Ahmed | Full-Stack & AI Developer · UAE
2 shared topicsweb-development
69match
arjns.com
Arjun | Full Stack Developer & AI Specialist
2 shared topicsweb-development
69match
donaldzq.com
Donald Zhong | Full-stack developer
2 shared topicsweb-development
69match
mateirenn.com
MATEI // RENN | Full-Stack Developer & AI Specialist
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.