What is HanChain (HAN)?

By CMC AI
08 August 2025 05:41PM (UTC+0)

TLDR

HanChain (HAN) is an Ethereum-based ecosystem bridging real-world media assets like music copyrights with blockchain through decentralized apps and tokenized rewards.

  1. Real-World Asset Integration – Secures $11M+ in music copyrights on-chain for transparent royalty distribution

  2. Dual-Token Architecture – Uses REWARD and ePlatform tokens to separate user incentives from platform governance

  3. Tune-2-Earn Model – Lets listeners earn HAN tokens via music streaming in Telegram mini-apps

Deep Dive

1. Purpose & Value Proposition

HanChain targets the $40B+ music streaming industry’s pain points – opaque royalty payments and platform middlemen. Its Music RWAFI (Real-World Asset-Fi) model tokenizes verified music copyrights, creating on-chain revenue streams from royalties and licensing. Artists retain ownership while fans earn via engagement, unlike traditional platforms where 70-80% of revenue typically goes to distributors (HanIdentity).

2. Technology & Architecture

Built on Ethereum, HanChain uses smart contracts to manage:
- REWARD tokens: Distributed to users for streaming activity
- ePlatform tokens: Govern ecosystem development via 120-month vesting
A Certik-audited tracking system assigns unique IDs to each copyrighted track, enabling transparent royalty splits.

3. Ecosystem Fundamentals

Three core components drive utility:
- MusiKhan: Telegram-based “Tune-2-Earn” app with 600+ licensed tracks
- AdKhan: Blockchain ad platform rewarding user attention
- NFT-PLAY: WebDrama/MusicVideo streaming with tokenized rights
This creates circular value – streams generate artist revenue while rewarding listeners with HAN tokens usable across services.

Conclusion

HanChain reimagines media consumption as participatory ownership, using verified RWAs rather than speculative tokens. While its music focus shows promise with $11M+ secured copyrights, can the model scale across entertainment verticals while maintaining legal compliance?

CMC AI can make mistakes. Not financial advice.