Maple lends billions to people who already have the money, and a person decides, more than a formula

What does it do, in one line?

The difference from Aave is all in who decides. There a curve decides: if the pool is nearly empty the rate rises, if it’s full the rate falls, and anyone with the collateral can borrow without asking anyone’s permission. Here there’s a pool delegate instead, usually a firm with full identity checks. The delegate looks at the borrower’s accounts, decides whether to lend and at what rate, watches the collateral day by day and liquidates when needed.

That delegate doesn’t work for free, or without skin in the game: they keep a slice of the interest, but they also have to put their own capital into the pool they run. If they get the assessments wrong, they lose alongside you. The loans are mostly overcollateralized: to borrow a hundred you have to deposit a hundred and fifty. That makes them as safe as the collateral behind them, rather than as safe as the borrower.

Put bluntly: an overcollateralized loan is like asking a bank for a loan while already carrying the money you need. It works for people whose capital is tied up and who want liquidity without selling it, and does nothing for people who don’t have the money.

How much adoption does it really have?

The number to keep next to it, though, is the peak: $3.25 billion on October 30 last year. From there the capital fell by about 19 percent and never climbed back. So the real story is a protocol that grew for a year, hit its ceiling in the autumn and has settled a bit lower since.

In a credit market that shape isn’t necessarily a bad sign. Capital coming in has to find someone to be lent to. If the borrowers are a few dozen verified institutions, past a certain point the extra money would sit there earning nothing, and whoever put it in would leave. The ceiling here is the size of the niche, and it says nothing about the product.

Who keeps the interest?

Almost everyone skips this step and quotes the turnover as if it were the protocol’s take. Maple’s annual turnover is $109.5 million, the protocol’s take is $13.56 million, and whoever quotes the first number is talking about somebody else’s money. Against the capital deposited, the take is worth about half a percentage point a year. That’s small, but it’s the right percentage to look at if you want to know how much the structure takes.

The same numbers also give you the price of the credit. On $1.83 billion actually lent, $109.5 million of interest works out at about 6.0 percent a year paid by the borrowers and about 3.7 percent collected by the lenders. That’s the yield of secured credit, and if you’re expecting double digits you’re looking at the wrong product.

How easy is it to get out?

That idle money is the door. As long as the people asking to leave fit within that figure, they get out. Beyond it, they queue and wait for a loan to come back. No hidden flaw and no broken exchange: that’s how a credit fund works, where the capital is committed until a maturity date and doesn’t come back before it.

The thing to watch is the ratio between the two parts. High utilization means the capital is working and earning. Very high utilization means the door narrows just when you need it. In bad times the requests to leave all arrive at once, and that’s exactly when loans don’t come back early.

How many things does it depend on?

The second is the delegates. The billions in the pools are allocated by a handful of firms deciding who to lend to, with no public algorithm. A delegate who keeps getting the assessments wrong damages every pool they run, because the choice of borrowers is the same in all of them.

The third is the borrowers. Institutional crypto credit is a club of a few dozen names, all exposed to the same market, and when things go badly they go badly for all of them at once. Diversification here is a limit of the sector more than a portfolio choice, because there aren’t enough different counterparties to spread the risk across.

Does the governance count for anything?

The vote doesn’t reach what really decides the yields and the losses, though. Who to lend to, at what rate, against how much collateral and when to liquidate is decided by the pool delegate, case by case, on criteria that don’t live onchain. The governance runs the frame, and somebody else does the lending.

SYRUP governance votes on protocol parameters, strategies for idle liquidity, opening new pools and allocating funds. The credit decisions stay outside the vote: which borrowers to approve, at what rate, against what collateral and when to liquidate. The pool delegate makes those.

There’s one thing to know about the token. It comes from converting the old MPL at one to a hundred, a cosmetic operation that didn’t change the value. It carries a declared inflation of five percent a year. Whoever holds SYRUP is diluted by that much every year, so the fees they collect by staking have to at least match it, or they lose.

Does the team hold up?

That failure changed the product, and it’s why loans today are mostly overcollateralized instead of granted on someone’s word. As a judgment, a team that watched its model break and rewrote it is worth more than one that has never been tested. But what happened should be kept in mind, not filed away.

Since then the execution has been steady: simple-deposit products for people who don’t want to pick a pool, separate contracts using the common standard for deposits, the token conversion carried through, idle liquidity put to work on outside protocols. Nothing spectacular, and nothing that blew up.

In December 2022 a borrower defaulted on about thirty-six million dollars on a Maple pool, after the collapse of FTX: the loans were not sufficiently collateralized and the delegate who had approved them was removed. The model then moved to excess collateral, followed by simple-deposit products, the token conversion and putting idle liquidity to work on outside protocols.

Where does it break?

The weak link is the third. A borrower defaulting is normal and accounted for. Collateral gets liquidated badly only on the days when everything falls together, and those happen to be the same days borrowers default. The two events go together, and a model that treats them as independent underestimates the risk.

Then there are two risks that have nothing to do with the market. The first is regulatory: lending money to verified institutions on negotiated contracts looks a lot like banking, and if a regulator decided to treat it that way the model would have to change. The second is efficiency: asking for a hundred and fifty to lend a hundred shuts out anyone with access to ordinary credit, and puts a ceiling on demand that no amount of good execution can raise.

Comparison between maple and its direct competitors in the same category, on the measured criteria, all taken on november 2, 2026 from the same source (defillama). Capital: maple $2.62bn, centrifuge n/a, clearpool $20m, truefi $0m. Revenue, 30 days: maple $1.52m, centrifuge $0.31m, clearpool $0m, truefi n/a. Interest, 30 days: maple $10.18m, centrifuge $3.65m, clearpool $0.04m, truefi n/a. On the first chain: maple 76.7%, centrifuge n/a, clearpool 99.4%, truefi 99.7%. 4 cells are n/a: the source doesn’t publish that figure for that name.