Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to nickopusan.dev

Muhammad Nickopusan Guntara – Full-Stack Python & Next.js Developer · ranked by shared content topics & relevance
76match
mateusfreiredev.com
Mateus Freire - Full-Stack Developer
2 shared topicsweb-development
74match
felixcatzin.com
Felix Catzin | Full-Stack Developer
2 shared topicsprogramming-languages
73match
bhaveshg.dev
Bhavesh Gavali - Full-Stack Developer | React, Node.js, Python Expert
2 shared topicsweb-development
73match
rohithpatel.com
Rohith Uppunuthula | Full-Stack Developer
2 shared topicsweb-development
73match
adnanilyas.tech
Adnan Iliyasu Muhammad | Full-Stack Developer | React, TypeScript, Node.js
2 shared topicsweb-development
73match
ronnietaylor.com
Ronnie — Full-Stack Developer
2 shared topicsweb-development
72match
abhisheksuman.tech
Abhishek Suman - Full-Stack Developer & Data Science Enthusiast
2 shared topicsweb-development
72match
beingtalha.tech
Muhammad Talha Khan - Full Stack Developer
2 shared topicsweb-development
72match
andrewrcr.dev
Andrew Creekmore - Full-Stack Developer
2 shared topicsprogramming-languages
72match
andrewcreekmore.dev
Andrew Creekmore - Full-Stack Developer
2 shared topicsprogramming-languages
72match
iphaselimited.com
iphase limited | Full-Stack Development
2 shared topicsweb-development
71match
aropetjoel.com
Aropet Joel - Full Stack Developer
2 shared topicsweb-development
71match
ahmadradwan.dev
Ahmad Radwan — Full Stack Developer
2 shared topicsweb-development
71match
ahmetyasingeldi.dev
Ahmet Yasin Geldi | Computer Engineer & Full Stack Developer
2 shared topicsweb-development
70match
aarab.tech
Hamza Aarab | Full Stack Developer
2 shared topicsweb-development
70match
robertoghita.com
Roberto Ghita | Full Stack Developer Portfolio
2 shared topicsweb-development
70match
bibekpadnit.tech
Bibek Pandit — Full Stack Developer (MERN) & Python Dev
2 shared topicsweb-development
70match
somtoanunobi.com
Somto Anunobi - Full-stack Developer | somteacodes
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.