WispSwap: Optimizing Capital Efficiency via ACLMM & Liquid Staking (Sui Hackathon Top 3)

TL;DR - WispSwap

• Traditional AMMs on Sui suffer from low capital efficiency (high slippage) and a fragmented Liquid Staking experience.
• Implementation of Asymmetric Concentrated Liquidity (ACLMM) and vDAMM to optimize slippage, while integrating Liquid Staking directly into the transaction flow.
• Ranked Top 3 at the Sui Hackathon, attracting $500k TVL and support from the Sui Foundation.

Context & The Friction

As the Sui ecosystem accelerates, the DeFi market faces a paradox: despite the network's high transaction throughput (TPS), basic Automated Market Maker (AMM) models fail to fully leverage this advantage. Users and Liquidity Providers (LPs) face two critical "pain points":

1. Low Capital Efficiency: Liquidity is spread evenly across the entire price curve ($0$ to $\infty$), causing high slippage even for stable trading pairs.
2. Fragmented Experience: Users seeking Liquid Staking yields must navigate multiple decentralized applications (dApps), breaking the user journey and incurring unnecessary gas fees.

The market requires a protocol that is not just fast, but intelligent in how it coordinates liquidity.

The Engineering Insight (The Solution)

To solve this mathematical optimization problem on-chain, the team approached it from the Protocol layer using a core Tech Stack: Sui, Move, Rust, and React. The Hardest Challenge: Translating the complex mathematical models of ACLMM (Asymmetric Concentrated Liquidity Market Maker) into secure Smart Contracts on the Move language—which demands strict resource-oriented logic.

How the team solved it:

• ACLMM & vDAMM Mechanisms: Instead of the legacy $x*y=k$ model, we engineered algorithms allowing LPs to concentrate liquidity within custom price ranges. This increases Market Depth without requiring massive Total Value Locked (TVL).
• Liquid Staking Integration: The staking module is natively integrated into the DEX. Smart Contracts written in Rust/Move automate the minting of derivative tokens (LST) and liquidity provision in a single atomic transaction.
• Dynamic Fees Model: We built a mechanism that auto-adjusts fees based on market volatility to protect LPs from Impermanent Loss.

The Signal (Proof of Capability)

WispSwap is not just an MVP; it is a battle-tested product:

• Recognition: Won Third Prize at the Sui Hackathon—a highly competitive arena.
• Scalability: The system handled 300 Daily Active Users and managed $500k TVL effectively during its initial phase.
• Validation: Received backing and grants from the Sui Foundation.

This project confirms AnyAxis's capability in DeFi & Mathematical Modeling, specifically our mastery of the Move language to construct Complex Financial Protocols.

Conclusion

The success of WispSwap serves as a critical foundation for AnyAxis to dive deeper into Financial Infrastructure on High-performance Blockchains (L1). We believe the future of DeFi lies in "engineering" financial models to optimize every basis point for the user.