Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to abdurrehman.dev

Abdur Rehman — Full-Stack SaaS & AI Developer · ranked by shared content topics & relevance
79match
acaditya10.tech
Aditya Chandra — Full-Stack & AI Developer | Portfolio
2 shared topicsweb-development
78match
aayushmohan.dev
Aayush Mohan | Full-Stack Developer & AI Engineer
2 shared topicsweb-development
78match
naeemsabir.dev
Naeem Sabir | Full-Stack & AI Developer
2 shared topicsweb-development
77match
majomaken.dev
Miguel Ángel Jimenez | Full-Stack Developer & AI Automation
2 shared topicsweb-development
76match
akshattiwari.dev
Akshat Tiwari — Full Stack Developer & AI Enthusiast
2 shared topicsweb-development
76match
kienha.dev
Ha Minh Kien - Full-stack Developer & AI Researcher
2 shared topicsweb-development
76match
pawanpatra.com
Pawan Patra — Full-Stack Developer & AI Platform Architect
2 shared topicsweb-development
75match
amirsyncs.com
Amir » Full-Stack Developer
2 shared topicsartificial-intelligence
75match
alex-metzger.com
Alex Metzger — AI Developer & Full-Stack Engineer
2 shared topicsweb-development
75match
ashmitb.dev
Ashmit Biswas — AI-Focused Full Stack Developer
2 shared topicsartificial-intelligence
75match
maniruddin.com
Manir Uddin | Full-Stack Web Developer & AI Automation Specialist
2 shared topicsweb-development
75match
abhayp.tech
Abhay Parekh | Full-Stack Developer & AI/ML
2 shared topicsweb-development
74match
adityachaudhari.tech
Aditya Chaudhari | Full-Stack Developer & AI/ML Engineer
2 shared topicsweb-development
74match
reucodec.com
Reu Codec · Full-Stack Developer
2 shared topicsartificial-intelligence
74match
patwhite.dev
Pat White — Full-Stack Engineer & AI Builder
2 shared topicsartificial-intelligence
74match
albertosanz.dev
albertosanzdev - Full-Stack Developer
2 shared topicsweb-development
74match
asrithcheepurupalli.tech
Asrith Cheepurupalli | Full-Stack Developer & AI Engineer
2 shared topicsweb-development
74match
abdulmateen.dev
Abdul Mateen – Full Stack Developer & AI/ML Enthusiast
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.