Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to nahidislam.dev

Nahid | Full-Stack Developer & Data Science Engineer · ranked by shared content topics & relevance
82match
ilkeryoru.com
İlker Yörü | Full-Stack Developer & Data Engineer
2 shared topicstechnology-and-computing
79match
0xjosee.dev
0xJosee | Full-Stack Developer & Blockchain Engineer
2 shared topicstechnology-and-computing
78match
chelseanwankpa.com
Chelsea Nwankpa - Data Engineer & Full Stack Developer
2 shared topicstechnology-and-computing
77match
armkiyas.tech
Mohammed Kiyas - Full Stack Developer & DevOps Engineer
2 shared topicstechnology-and-computing
77match
abdullhrabea.com
Abdullh Rabea | Full-Stack Developer
2 shared topicsweb-development
77match
patienceman.com
Manirabona Patience - Software Engineer & Full-Stack Developer
2 shared topicsweb-development
77match
pawelbudnik.com
Paweł | Full-Stack Developer
2 shared topicsweb-development
77match
pazmelon.com
Odemil Uyan | Full-Stack Developer & IT Educator
2 shared topicstechnology-and-computing
76match
desertpointtech.com
Greg Bruce | Full-Stack Developer & Maker
2 shared topicsweb-development
76match
designplox.com
Ali Zahid × Tech lead, Product developer, Full-stack engineer
2 shared topicsweb-development
76match
eugen-bondarev.com
Eugen Bondarev | Full Stack Developer & DevOps Engineer
2 shared topicstechnology-and-computing
76match
imirfanul.com
Md Irfanul Alam | Software Engineer & Full-Stack Developer
2 shared topicsweb-development
76match
manazir.dev
Manazir Ali | Full-Stack Engineer & Blockchain Developer
2 shared topicsweb-development
76match
5vra.com
Portfolio | Full-Stack Developer
2 shared topicstechnology-and-computing
76match
developer-01.com
Vasu Ram | Full-Stack Developer & Mobile App Specialist
2 shared topicsweb-development
76match
abdullahadi.com
Abdullah Hadi | Full-Stack Engineer & ML Developer
2 shared topicstechnology-and-computing
76match
simoncodes.com
Simon | Software Developer | Full-stack
2 shared topicsweb-development
76match
devtyco.com
Devtyco | Full-Stack Developer
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.