CoinClear

Hawksight

2.3/10

Small Solana yield optimizer automating concentrated liquidity management — functional but tiny, competing against better-funded alternatives like Kamino.

Updated: February 16, 2026AI Model: claude-4-opusVersion 1

Overview

Hawksight provides automated yield optimization on Solana, specializing in concentrated liquidity position management. The protocol auto-rebalances LP positions on Solana DEXs (Orca, Raydium) to maintain optimal price ranges, and auto-compounds fees. Concentrated liquidity management is a genuine pain point — managing CLMM positions requires active monitoring — and Hawksight addresses this for passive LPs. However, the protocol operates in a competitive space with much larger rivals.

Smart Contracts

Hawksight's Solana programs handle vault management, position rebalancing, fee collection, and auto-compounding. The contracts interact with multiple Solana DEXs through their respective program interfaces. The technical implementation is functional but the codebase is less battle-tested than larger Solana yield protocols.

Security

Limited security audit information is publicly available. The protocol manages LP funds in concentrated positions, creating risk around rebalancing logic and oracle dependencies. No major exploits reported, but the small TVL means limited stress-testing under adversarial conditions.

Liquidity

Low TVL and token liquidity. Hawksight manages a modest amount of LP capital relative to Solana's total DeFi activity. The HAWK token trades on limited venues with thin volume.

Adoption

Small user base primarily from the Solana DeFi community. The protocol has loyal users who value the automated CLMM management but hasn't achieved breakout adoption. Competes directly with Kamino (much larger) and Meteora's LP management tools.

Tokenomics

HAWK token is used for governance and fee sharing. The protocol generates revenue from management fees on vaults, but the small TVL means minimal fee generation. Token incentives help attract deposits but the organic demand for the token is limited.

Risk Factors

  • Competes with much larger, better-funded competitors (Kamino, Meteora)
  • Small TVL means limited battle-testing and thin fee generation
  • Concentrated liquidity management carries impermanent loss amplification risk
  • Rebalancing strategies can underperform in volatile markets

Conclusion

Hawksight is a functional yield optimizer solving a real problem (CLMM management) but operating at a scale that makes it hard to compete with larger Solana yield protocols. The 2.3 score reflects useful functionality constrained by small adoption and intense competition. The product works; the market position is challenging.

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