Last week, on TermMax, I posted an order in the lending (loan) direction—a range order. The curve got split into two segments: for the smaller part, I asked for a lower interest rate; for the larger part, I raised the compensation. When I was dragging the quote, my hand paused for a moment—I couldn’t quite put my finger on that feeling. The quote itself was written by me; it wasn’t something the protocol shoved into my agreement.
What really made it click was what happened in the days after I posted it. My order wasn’t just sitting there alone. Nearby, you could clearly see other lenders posting adjacent ranges. Rates were being layered down one after another. Borrowers moved in right against my low-price band to buy in, then sold XT to obtain liquidity. I stared at the on-chain trades for a while before it dawned on me what they were doing: whichever fixed-rate offer was cheaper would face less discount pressure on XT, and that meant the up-front interest costs implied by the leverage would be lower. My quote wasn’t a passive parameter—it directly entered this price-competition pool. It wasn’t theoretical; it competed head-to-head, with actual bidding against other LPs’ range orders. $ETH
That observation knocked out a bias I’d had before. I used to think that, in lending agreements, lenders are always passive—that interest rate changes are entirely determined by the pool’s mood. But in TermMax’s range-order book, the interest rate is something you effectively “test out” little by little through each posted order and each incremental round of price comparison. It’s like the quote board on an old exchange: whoever posts the tougher price gets consumed faster, and the market figures it out at a glance. Notional’s interest rate is hard-coded by the system based on utilization. Pendle is a discounting game over the present value of interest-bearing assets’ principal and interest. TermMax, meanwhile, plays a different game: starting from zero, it lets lenders set their own price. It’s not unique in doing so, but it makes it the most obvious.
Now I don’t really look at the payout from that single order anymore. Instead, I refresh the trade records every day to see at which moment my quote gets swept up. The return is secondary; what matters is the process of being selected by the market itself—that’s the part of TermMax that’s most worth paying attention to. #termmax @TermMax
What really made it click was what happened in the days after I posted it. My order wasn’t just sitting there alone. Nearby, you could clearly see other lenders posting adjacent ranges. Rates were being layered down one after another. Borrowers moved in right against my low-price band to buy in, then sold XT to obtain liquidity. I stared at the on-chain trades for a while before it dawned on me what they were doing: whichever fixed-rate offer was cheaper would face less discount pressure on XT, and that meant the up-front interest costs implied by the leverage would be lower. My quote wasn’t a passive parameter—it directly entered this price-competition pool. It wasn’t theoretical; it competed head-to-head, with actual bidding against other LPs’ range orders. $ETH
That observation knocked out a bias I’d had before. I used to think that, in lending agreements, lenders are always passive—that interest rate changes are entirely determined by the pool’s mood. But in TermMax’s range-order book, the interest rate is something you effectively “test out” little by little through each posted order and each incremental round of price comparison. It’s like the quote board on an old exchange: whoever posts the tougher price gets consumed faster, and the market figures it out at a glance. Notional’s interest rate is hard-coded by the system based on utilization. Pendle is a discounting game over the present value of interest-bearing assets’ principal and interest. TermMax, meanwhile, plays a different game: starting from zero, it lets lenders set their own price. It’s not unique in doing so, but it makes it the most obvious.
Now I don’t really look at the payout from that single order anymore. Instead, I refresh the trade records every day to see at which moment my quote gets swept up. The return is secondary; what matters is the process of being selected by the market itself—that’s the part of TermMax that’s most worth paying attention to. #termmax @TermMax