From Aave to Ether.fi: Who Captured the Most Value in the On-Chain Credit System?
Original Title: Why the DeFi Lending Moat is Bigger Than You Think
Original Author: Silvio, Crypto Researcher
Original Translation: Dangdang, Odaily Planet Daily
As the market share of Vaults and Curators in the DeFi world continues to rise, the market is starting to question: Is the lending protocol's profit space being continuously squeezed? Is lending no longer a good business?
However, if we shift our focus back to the entire on-chain credit value chain, the conclusion is quite the opposite. Lending protocols still occupy the strongest moat in this value chain. We can quantify this with data.
On Aave and SparkLend, the interest fees paid by Vaults to the lending protocol actually exceed the income generated by the Vaults themselves. This fact directly challenges the mainstream narrative of "distribution is paramount".

At least in the lending sector, distribution is not king.
In simple terms: Aave not only earns more than various Vaults built on top of it, but also surpasses those asset issuers used for lending, such as Lido and Ether.fi.
To understand the reasons behind this, we need to break down the complete value chain of DeFi lending and, following the flow of funds and fees, reassess the value capture capabilities of each role.
DeFi Lending Value Chain Breakdown

The total annual revenue of the entire lending market has exceeded 100 million US dollars. This part of the value is not generated by a single link, but is composed of a complex stack: the underlying settlement blockchain, asset issuers, fund lenders, the lending protocol itself, and the Vaults responsible for distribution and strategy execution.
In previous articles, we have mentioned that the widespread use cases in the current lending market stem from basis trading and liquidity mining opportunities, and have dissected the key strategic logic behind them.
So, who is really supplying capital in the "real" DeFi lending market?
I analyzed the top 50 wallet addresses on Aave and SparkLend and labeled the major borrowers.

1. The largest borrowers are various types of treasuries and strategy platforms such as Fluid, Treehouse, Mellow, Ether.fi, Lido (also asset issuers). They have distribution capabilities to end users, helping users earn higher yields without having to manage complex strategies and risks themselves.
2. There are also large institutional funders like Abraxas Capital deploying external capital into similar strategies, with their economic model fundamentally akin to treasuries.

But treasuries are not the whole picture. In this chain, there are at least the following types of participants:
· Users: Deposit assets, seeking additional yield through treasuries or strategy managers
· Lending Protocol: Provides infrastructure and liquidity matching, earns interest from the borrowing side, and takes a certain percentage as protocol revenue
· Lenders: Capital providers, could be ordinary users or other treasuries
· Asset Issuers: Most on-chain lending assets are backed by underlying assets that generate revenue, some of which is captured by the issuer
· Blockchain Network: The underlying "railroad tracks" where all activities take place
Lending Protocols Earn More Than Downstream Treasuries
Take Ether.fi's ETH liquidity collateral treasury as an example. It is the second-largest borrower on Aave with an outstanding loan size of around 15 billion USD. The strategy itself is very typical:
· Deposit weETH (approx. +2.9%)
· Borrow wETH (approx. -2%)
· Treasury charges a 0.5% platform management fee on TVL
In Ether.fi's total TVL, approximately $215 million is actual net liquidity deployed on Aave. This portion of TVL generates approximately $1.07 million in platform fee revenue for the treasury annually.
However, at the same time, the strategy incurs approximately $4.5 million in interest cost to Aave annually (calculation: $1.5 billion borrowings × 2% borrowing APY × 15% reserve factor).
Even in one of the largest and most successful loop strategies in DeFi, the value captured by the lending protocol is still several times that of the treasury.

Of course, Ether.fi is also the issuer of weETH, and the treasury itself directly creates demand for weETH.

But even considering treasury strategy revenue + asset issuer revenue together, the economic value created by the lending layer (Aave) is still greater.
In other words, the lending protocol is the most value-enhancing part of the entire stack.
We can perform a similar analysis on other commonly used treasuries:
Fluid Lite ETH: 20% performance fee + 0.05% exit fee, no platform management fee. Borrowed $1.7 billion wETH from Aave, paid approximately $33 million in interest, of which about $5 million goes to Aave, Fluid's own revenue is close to $4 million.

Mellow protocol charges a 10% performance fee on strETH, borrowing volume of $165 million, TVL only about $37 million. Once again, we see that in terms of TVL, the value captured by Aave exceeds that of the treasury itself.

Let's look at another example: in SparkLend, the second-ranked lending protocol on Ethereum, Treehouse is a key participant, operating an ETH loop strategy:

· TVL around 34 million USD
· Borrowing at 133 million USD
· Performance fee charged only on margin yield above 2.6%

SparkLend, as a lending protocol, has a higher value capture potential in TVL terms compared to the treasury.
The treasury's pricing structure has a significant impact on its own captured value; however, for a lending protocol, its revenue depends more on the nominal size of borrowings, which is relatively stable.
Even with a shift to a dollar-denominated strategy, although the leverage is lower, higher interest rate levels often offset this impact. I do not believe the conclusion will fundamentally change.
In a relatively closed market, more value may flow to the curator, such as the Stakehouse Prime Vault (26% performance fee with incentives provided by Morpho). However, this is not the final state of the Morpho pricing mechanism, as the curator itself is also collaborating with other platforms for distribution.
Lending Protocol vs Asset Issuer
So, the question is: Is it better to be with Aave or with Lido?
This question is more complicated than comparing treasury models because the staked assets not only generate their own yield but also indirectly create stablecoin interest income for the protocol through the lending market. We can only make rough estimates.
Lido has about 44.2 billion USD in assets in the Ethereum core market, used to support lending positions, with an annualized performance fee income of about 11 million USD.
These positions roughly equally support ETH and stablecoin borrowing. Calculated with the current net interest margin (NIM) of about 0.4%, the corresponding lending revenue is about 17 million USD, which is already significantly higher than Lido's direct revenue (and this is at a historically low NIM level).

The True Moat of a Lending Protocol
If we were to compare using only the traditional financial deposit profit model, the DeFi lending protocol would seem to be a low-profit industry. However, that comparison overlooks where the true moat lies.
In an on-chain credit system, the value captured by lending protocols surpasses the downstream distribution layer and also, in aggregate, exceeds the upstream asset issuer.
Seen in isolation, lending may seem like a low-margin business; however, placed within the complete credit stack, it is actually the layer with the strongest value capture capability relative to all other participants—the custodian, issuer, distribution channels.
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The X Chat will be available for download on the App Store this Friday. The media has already covered the feature list, including self-destructing messages, screenshot prevention, 481-person group chats, Grok integration, and registration without a phone number, positioning it as the "Western WeChat." However, there are three questions that have hardly been addressed in any reports.
There is a sentence on X's official help page that is still hanging there: "If malicious insiders or X itself cause encrypted conversations to be exposed through legal processes, both the sender and receiver will be completely unaware."
No. The difference lies in where the keys are stored.
In Signal's end-to-end encryption, the keys never leave your device. X, the court, or any external party does not hold your keys. Signal's servers have nothing to decrypt your messages; even if they were subpoenaed, they could only provide registration timestamps and last connection times, as evidenced by past subpoena records.
X Chat uses the Juicebox protocol. This solution divides the key into three parts, each stored on three servers operated by X. When recovering the key with a PIN code, the system retrieves these three shards from X's servers and recombines them. No matter how complex the PIN code is, X is the actual custodian of the key, not the user.
This is the technical background of the "help page sentence": because the key is on X's servers, X has the ability to respond to legal processes without the user's knowledge. Signal does not have this capability, not because of policy, but because it simply does not have the key.
The following illustration compares the security mechanisms of Signal, WhatsApp, Telegram, and X Chat along six dimensions. X Chat is the only one of the four where the platform holds the key and the only one without Forward Secrecy.
The significance of Forward Secrecy is that even if a key is compromised at a certain point in time, historical messages cannot be decrypted because each message has a unique key. Signal's Double Ratchet protocol automatically updates the key after each message, a mechanism lacking in X Chat.
After analyzing the X Chat architecture in June 2025, Johns Hopkins University cryptology professor Matthew Green commented, "If we judge XChat as an end-to-end encryption scheme, this seems like a pretty game-over type of vulnerability." He later added, "I would not trust this any more than I trust current unencrypted DMs."
From a September 2025 TechCrunch report to being live in April 2026, this architecture saw no changes.
In a February 9, 2026 tweet, Musk pledged to undergo rigorous security tests of X Chat before its launch on X Chat and to open source all the code.
As of the April 17 launch date, no independent third-party audit has been completed, there is no official code repository on GitHub, the App Store's privacy label reveals X Chat collects five or more categories of data including location, contact info, and search history, directly contradicting the marketing claim of "No Ads, No Trackers."
Not continuous monitoring, but a clear access point.
For every message on X Chat, users can long-press and select "Ask Grok." When this button is clicked, the message is delivered to Grok in plaintext, transitioning from encrypted to unencrypted at this stage.
This design is not a vulnerability but a feature. However, X Chat's privacy policy does not state whether this plaintext data will be used for Grok's model training or if Grok will store this conversation content. By actively clicking "Ask Grok," users are voluntarily removing the encryption protection of that message.
There is also a structural issue: How quickly will this button shift from an "optional feature" to a "default habit"? The higher the quality of Grok's replies, the more frequently users will rely on it, leading to an increase in the proportion of messages flowing out of encryption protection. The actual encryption strength of X Chat, in the long run, depends not only on the design of the Juicebox protocol but also on the frequency of user clicks on "Ask Grok."
X Chat's initial release only supports iOS, with the Android version simply stating "coming soon" without a timeline.
In the global smartphone market, Android holds about 73%, while iOS holds about 27% (IDC/Statista, 2025). Of WhatsApp's 3.14 billion monthly active users, 73% are on Android (according to Demand Sage). In India, WhatsApp covers 854 million users, with over 95% Android penetration. In Brazil, there are 148 million users, with 81% on Android, and in Indonesia, there are 112 million users, with 87% on Android.
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These two interpretations are not mutually exclusive, leading to the same result: X Chat's debut saw it willingly forfeit 73% of the global smartphone user base.
This matter has been described by some: X Chat, along with X Money and Grok, forms a trifecta creating a closed-loop data system parallel to the existing infrastructure, similar in concept to the WeChat ecosystem. This assessment is not new, but with X Chat's launch, it's worth revisiting the schematic.
X Chat generates communication metadata, including information on who is talking to whom, for how long, and how frequently. This data flows into X's identity system. Part of the message content goes through the Ask Grok feature and enters Grok's processing chain. Financial transactions are handled by X Money: external public testing was completed in March, opening to the public in April, enabling fiat peer-to-peer transfers via Visa Direct. A senior Fireblocks executive confirmed plans for cryptocurrency payments to go live by the end of the year, holding money transmitter licenses in over 40 U.S. states currently.
Every WeChat feature operates within China's regulatory framework. Musk's system operates within Western regulatory frameworks, but he also serves as the head of the Department of Government Efficiency (DOGE). This is not a WeChat replica; it is a reenactment of the same logic under different political conditions.
The difference is that WeChat has never explicitly claimed to be "end-to-end encrypted" on its main interface, whereas X Chat does. "End-to-end encryption" in user perception means that no one, not even the platform, can see your messages. X Chat's architectural design does not meet this user expectation, but it uses this term.
X Chat consolidates the three data lines of "who this person is, who they are talking to, and where their money comes from and goes to" in one company's hands.
The help page sentence has never been just technical instructions.

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