SecondSwap, a decentralized exchange for locked and vesting digital assets, has announced its expansion to the Avalanche blockchain ecosystem following its earlier launch on Ethereum. It aims to create a transparent secondary market for tokens under vesting schedules, addressing a sector valued at over $100 billion that traditionally relies on opaque private deals. With its integration on Avalanche, SecondSwap introduces native smart contracts for managing token lockups and secondary trading, enhancing clarity and efficiency in the market.
“Today’s secondary market for locked tokens remains largely manual, opaque, and inefficient,”
said Kanny Lee, Founder of SecondSwap.
“SecondSwap is transforming this model by bringing locked token trading fully on-chain, with smart contract execution that delivers transparent pricing, verifiable asset transfer, and real-time settlement.”
The platform allows projects to issue, price, and trade locked assets without relying on third-party intermediaries. Investors benefit from a bidding mechanism where users can propose discounts and select preferred vesting periods. Lockup periods are offered in three, six, and twelve-month lots, broadening access beyond institutional investors to a wider range of participants.
Justin Kim, Head of Asia at Ava Labs, emphasized that SecondSwap’s launch aligns with Avalanche’s strategy to expand DeFi infrastructure and support tokenized asset markets. “SecondSwap perfectly aligns with Avalanche’s mission to digitize, democratize, and de-risk asset ownership,” Kim said.
SecondSwap’s expansion is backed by a recent $1.2 million seed funding round led by GSR and Animoca Ventures. The company plans to continue developing tools for on-chain lifecycle management of token projects, aiming to reduce volatility linked to unlock events and improve overall market efficiency.
Notably, Avalanche has introduced its first blockchain infrastructure tailored specifically for artificial intelligence (AI) applications. Developed by Kite AI, this AI-focused testnet aims to provide scalable, transparent, and secure support for AI workflows. This initiative will enhance data management, automation, and regulatory compliance, potentially driving institutional adoption.
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