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IRIS
@iris_credit
Intent based fixed-rate origination layer. Competitive quotes, sourced across deepest lending protocols. Join our community :
Joined May 2024
7 Following    3.8K Followers
Part of what makes building a new primitive like IRIS interesting is watching it get pulled in different directions and boxed into different categories. And depending on how you define it, it could become an entirely different product. We'll share more on our own thinking soon.
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DeFi lending is already a $28.5B market. But borrowers still can’t predict what their debt will cost. Fixed-rate lending is trying to fix that ↓ This factor is divided into 5 different approaches 1. Intent / orderbook-based credit Borrowers and lenders quote the rate + duration they want, then wait for a match. @Morpho Midnight @TenorFinance @term_labs @Loopscale @rheo_xyz @jup_offerbook 2. Tokenized fixed-maturity debt Turn fixed-term loans into tradable maturity assets, similar to bonds or PTs. @TermMaxFi @Fira_Lend @Secured_Fi 3. Fixed + variable lending Users can choose between floating rates or a specific rate + duration. @kamino @ExactlyProtocol 4. Borrower-set rates Borrowers choose their own interest rate, with different trade-offs depending on how low they set it. @LiquityProtocol @flexmeow Then there are a few more unique models: @iris_credit: solvers source liquidity from existing lending markets and manage it to keep borrowing costs predictable. @kpk_io × @eulerfinance: curator-built fixed-rate markets anchored to benchmark yields. @InverseFinance: tokenizes borrowing rights through DBR instead of using a fixed maturity. @WildcatFi: fixed-rate credit for undercollateralized/private borrowers. @aave Stable Vaults: predictable yield for depositors rather than fixed-rate borrowing. Different models but same direction DeFi solved instant liquidity. The next step is making the cost of capital predictable.
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