NO SUS Canary
Different words. A traceable copy.
A Monad testnet experiment that gives each reader a differently worded note, then checks leaked text against those variants.
Testnet experiment
What I built
A leaked text copy can lose file metadata. Can the wording itself help identify its source?
- Issued reader-specific linguistic variants and recorded opens on Monad testnet.
- Built a paste-and-check flow for comparing leaked text with distributed variants.
- The experiment traces a distributed copy through wording; it does not establish the identity of the person who shared it.
Tools: Monad Testnet, Solidity, Dart, Flutter, Cryptography.
Website & project links
- NO SUS Canary website ↗https://shubham-sahu.me/nosus-canary/app/
- Public repository ↗https://github.com/https-shubhamsahu/nosus-canary
About the builder
Shubham Sahu is an engineering student and builder in Mumbai, working across embedded systems, robotics, AI tools, and web and mobile applications. He co-founded Aurigen.
Shubham Sahu’s official profile and social accounts ↗