Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to oipunk.io

Weiguang Li - Java Backend Developer · ranked by shared content topics & relevance
79match
anmolbarik.com
Anmol Barik - Backend Developer
2 shared topicsprogramming-languages
75match
3dime.com
Idriss - Backend Developer Portfolio
2 shared topicsweb-development
73match
surojd.com
Java developer - Suroj Dangol
2 shared topicsweb-development
72match
dijnie.dev
Phung Tien Dung: Backend Developer NodeJS
2 shared topicsweb-development
71match
hectorob.com
Hector Oyogo — Backend Developer in Training
2 shared topicsprogramming-languages
70match
islamelserougi.com
Islam Elerougi - Software and Backend Developer
2 shared topicsweb-development
70match
animeshkahara.com
Animesh Kahara | Full Stack Java Developer
2 shared topicsweb-development
70match
a1eks.com
Aleksei Ryzhkov — Senior Python Backend Developer
2 shared topicsweb-development
70match
moosaraheel.com
Moosa Raheel | Full Stack Developer
2 shared topicsprogramming-languages
70match
ivanskyi.com
Oleh Ivanskyi | Java Developer & Project Manager
2 shared topicsweb-development
70match
dinomeschini.com
Dino Meschini — Backend Developer | Go, Python, Reliable Systems
2 shared topicsprogramming-languages
70match
dishajaswal.com
Disha Jaswal - Software Developer
2 shared topicsweb-development
70match
shipurjan.com
Cyprian Zdebski - Fullstack Developer
2 shared topicsweb-development
69match
anjaramihone.com
Anja Ramihone : Front-End Developer
2 shared topicsweb-development
68match
moinjulian.com
Julian – Full-Stack Developer
2 shared topicsweb-development
68match
moubien-kayali.com
Moubien Kayali - Full Stack Developer & Programming Teacher
2 shared topicsprogramming-languages
68match
nurullahbhuiyan.com
Md Nurullah Bhuiyan | Full Stack Developer
2 shared topicsweb-development
68match
retheviper.com
Youngbin Kim - Server-side Kotlin Developer
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.