Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to anmolk.tech

Anmol Kumar Mishra - Web Developer Portfolio | React & Node.js · ranked by shared content topics & relevance
73match
robertoghita.com
Roberto Ghita | Full Stack Developer Portfolio
2 shared topicsweb-development
72match
3dime.com
Idriss - Backend Developer Portfolio
2 shared topicsweb-development
72match
bhaveshg.dev
Bhavesh Gavali - Full-Stack Developer | React, Node.js, Python Expert
2 shared topicsweb-development
71match
berent.dev
Neo Berent | Junior Developer Portfolio
2 shared topicsweb-development
71match
matthieurouthier.com
Matthieu Routhier | Developer Portfolio
2 shared topicsweb-development
71match
ktfayis.com
Fayis K T | Full Stack Developer Dubai | Portfolio
2 shared topicsweb-development
70match
ahmad-sultan.net
Flutter Developer Portfolio
2 shared topicsweb-development
70match
bo3bdo.com
bo3bdo — Developer Portfolio
2 shared topicsweb-development
70match
ashraful.tech
Ashraful Alam — Full Stack Developer (MERN, Next.js) | Portfolio
2 shared topicsweb-development
70match
berdiev.net
Portfolio of Maruf Berdiev - Software Developer
2 shared topicsweb-development
69match
a8k.dev
Saif Abdelrazek | Full Stack Developer & Student
2 shared topicsweb-development
69match
rolisoft.com
Roland Bogosi – RoliSoft – Personal Developer Portfolio
2 shared topicsweb-development
69match
thepracticalapps.com
Practical Apps - Full Stack Development Portfolio
2 shared topicsweb-development
69match
alaminkhan.me
Al Amin Khan — Full Stack Developer (React, Node.js) | Bangladesh
2 shared topicsweb-development
68match
gustavohsf.com
Gustavo Feitosa - Full Stack Developer
2 shared topicsweb-development
68match
phpmydev.com
Why I Switched from PHP to JavaScript in 2017 | Web Developer Journey
2 shared topicsweb-development
68match
andrewrcr.dev
Andrew Creekmore - Full-Stack Developer
2 shared topicsprogramming-languages
68match
andrewcreekmore.dev
Andrew Creekmore - Full-Stack Developer
2 shared topicsprogramming-languages

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.