Fira launches fixed-rate lending on Ethereum with $450M in deposits migrated from Euler Finance

Fira, a new Ethereum-based DeFi lending protocol, has launched a fixed‑rate on-chain credit market and gone live with about $450 million in deposits, largely migrated from users of Euler Finance during a pre-launch phase that began in early January. The protocol is designed around fixed maturities and predictable interest rates, positioning itself as an alternative to the variable-rate, utilization-based models that dominate incumbents like Aave. Fira’s launch was seeded by Euler users “reallocating” their positions into Fira, effectively recapturing liquidity from Euler’s modular lending ecosystem and concentrating it into a fixed‑rate product. Unlike typical DeFi money markets where borrowing costs float with pool utilization, Fira organizes markets into discrete timeframes with defined maturities, generating on-chain yield curves more similar to traditional fixed-income markets. According to DefiLlama data cited in coverage, Fira’s total value locked is around $451.6 million on Ethereum, a small but notable share compared to sector leader Aave’s roughly $25.3 billion, suggesting early but meaningful demand for predictable on-chain credit. To address security concerns that have historically affected lending protocols, Fira reports six independent audits and a bug bounty of up to $500,000 for critical vulnerabilities as part of its rollout. Fira enters a growing niche of fixed‑rate DeFi lending, competing with projects such as Notional Finance, IPOR, and Term Finance, which also target users who want certainty over borrowing and lending costs in volatile crypto markets. The migration of funds from Euler underscores the fluidity of DeFi liquidity and highlights how newer protocols can bootstrap adoption by courting users from established platforms. For the wider market, Fira’s model illustrates ongoing experimentation with more predictable, bond-like structures in DeFi credit markets that aim to bridge some of the gap between traditional finance and on-chain lending.

✨ AI-generated background, compiled from web sources — not editorial content.

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