Jobs at Everlend
Everlend is a Solana-based lending and liquidity aggregation protocol designed to optimize deposit yields and borrowing rates across money markets. Its planned features included automated rebalancing, loan refinancing, a safety fund, and DAO governance.
Everlend is a Solana-based lending and liquidity aggregation protocol designed to optimize deposit yields and borrowing rates across money markets. Its planned features included automated rebalancing, loan refinancing, a safety fund, and DAO governance.
Maintainer signals as of 8/10/2026
Funding history
Projects
About Everlend
Everlend developed a Solana lending optimization protocol that aggregates liquidity across underlying money markets. The platform was designed to automatically move deposits toward the highest available APYs and refinance loans toward lower borrowing rates. Its risk framework included liquidations, a stablecoin Safety Fund, and an ELD staking pool intended to protect lenders from shortfall events. The roadmap described planned token launch, staking, DAO governance, and progressively decentralized refinancing. The supplied content indicates the protocol’s active development and launches were planned around 2022–2023, while the current site contains unrelated SEO content, so current product availability is uncertain.
About Everlend
Everlend developed a Solana lending optimization protocol that aggregates liquidity across underlying money markets. The platform was designed to automatically move deposits toward the highest available APYs and refinance loans toward lower borrowing rates. Its risk framework included liquidations, a stablecoin Safety Fund, and an ELD staking pool intended to protect lenders from shortfall events. The roadmap described planned token launch, staking, DAO governance, and progressively decentralized refinancing. The supplied content indicates the protocol’s active development and launches were planned around 2022–2023, while the current site contains unrelated SEO content, so current product availability is uncertain.
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