While tracing the settlement logic for @TermMax to measure gas consumption and call stack, what surprised me most wasn’t how much gas it saved—it was that it directly cut out the “global compounding accumulator,” the part most likely to go wrong in traditional lending protocols, from on-chain execution. #TermMax
Anyone who’s written or audited lending contracts knows that in floating pools like Aave/Compound, every deposit/borrow/repay interaction must forcibly trigger `accrueInterest`, requiring the chain to compute interest compounding in real time with extremely high precision. This kind of large-pool architecture looks flexible, but its global state machine accounts every second—wasting a huge amount of interaction gas. Under extreme concurrency, even tiny precision truncation errors (just a few) can be exploited by arbitrageurs for dust attacks. When I previously helped the team migrate their settlement system, just the cross-period reconciliation of floating interest and drift corrections took nearly a month.
TermMax’s underlying design doesn’t need such a dynamic accumulator at all. It uses FT to discount promissory notes: at the exact moment of successful matching, it locks the interest into a constant. The final debt throughout the entire lending cycle is a deterministic discrete value. At Maturity, the contract performs only a single atomic principal deduction and collateral release—completely removing the thousands upon thousands of pointless on-chain interest-accrual state updates in between.
Of course, this design that moves computation upfront has operational costs. Because each maturity date’s ledger is entirely independent, when I wrote scripts to test batch repayments a few days ago, if you have multiple debt positions with different Maturities on hand, you can’t globally settle them in one transaction like you could in a traditional pool. Instead, you have to align each shard and call them one by one.
By stripping away complex real-time interest accrual entirely, you get deterministic code execution and zero precision drift. For institutions holding large funds that require precise reconciliation, this clean settlement logic often inspires more confidence than fancy dynamic interest-rate algorithms. $ETH
Anyone who’s written or audited lending contracts knows that in floating pools like Aave/Compound, every deposit/borrow/repay interaction must forcibly trigger `accrueInterest`, requiring the chain to compute interest compounding in real time with extremely high precision. This kind of large-pool architecture looks flexible, but its global state machine accounts every second—wasting a huge amount of interaction gas. Under extreme concurrency, even tiny precision truncation errors (just a few) can be exploited by arbitrageurs for dust attacks. When I previously helped the team migrate their settlement system, just the cross-period reconciliation of floating interest and drift corrections took nearly a month.
TermMax’s underlying design doesn’t need such a dynamic accumulator at all. It uses FT to discount promissory notes: at the exact moment of successful matching, it locks the interest into a constant. The final debt throughout the entire lending cycle is a deterministic discrete value. At Maturity, the contract performs only a single atomic principal deduction and collateral release—completely removing the thousands upon thousands of pointless on-chain interest-accrual state updates in between.
Of course, this design that moves computation upfront has operational costs. Because each maturity date’s ledger is entirely independent, when I wrote scripts to test batch repayments a few days ago, if you have multiple debt positions with different Maturities on hand, you can’t globally settle them in one transaction like you could in a traditional pool. Instead, you have to align each shard and call them one by one.
By stripping away complex real-time interest accrual entirely, you get deterministic code execution and zero precision drift. For institutions holding large funds that require precise reconciliation, this clean settlement logic often inspires more confidence than fancy dynamic interest-rate algorithms. $ETH