In 2026, the Ethereum ecosystem began to undergo a subtle but significant transformation:
More and more projects started turning “trading activity itself” into assets. Previously, on-chain transactions were considered fundamental actions—swap, mint, adding liquidity—simply steps in the process of asset transfer. Now, these actions are being recorded, reorganized, and transformed into new forms of content, allocation models, trading fee structures, and even new sources of scarcity. Uniswap v4’s Hook stands out as one of the most critical pieces of infrastructure driving this shift.

For many, their first impression of Uniswap v4 is, “Developers can finally write Hooks.”
However, from a protocol design perspective, the true innovation in v4 is that Uniswap is evolving AMM into something closer to an “extensible settlement kernel.”
Unlike v3, v4 consolidates the state management of numerous pools into a Singleton (single PoolManager) architecture. Previously, each pool typically corresponded to a separate contract; with v4, much more logic is executed within a single environment.
This architectural change delivers several key benefits:
Multi-hop paths and complex operations are more gas efficient
Liquidity and swap state updates are processed more efficiently
Native ETH paths are easier to integrate
Flash Accounting enables internal netting before a trade concludes, reducing unnecessary asset transfers
While these improvements may seem technical, they have a profound impact: complex on-chain logic can finally run efficiently.
Previously, many innovative ideas were not impossible to design, but gas costs and execution complexity made them impractical.
The v4 structure now allows developers to:
Implement dynamic fee rates
Build behavioral state machines
Generate on-chain content
Incorporate bonding curves
Customize accounting logic
Embed auto-allocation and buyback mechanisms
directly into the liquidity path itself. This is the context in which the true value of Hooks emerges.
In simple terms, a Hook is external contract logic attached to the lifecycle of a liquidity pool.
Uniswap v4 triggers Hooks at specific points, such as:
Pool initialization
Adding or removing liquidity
Swaps
Donations
Trading fee processing
Developers can execute custom logic at these points.
Essentially, a Hook is not a “product” but an interface layer that enables developers to redefine AMM behavior.
For example:
Dynamically adjust fee rates based on market volatility
Record user behavior during swaps
Automatically route trading fees to a treasury
Bind trading paths to NFT states
Trigger on-chain content generation during trades
This explains why, even when many recent projects appear to be meme or NFT projects, the underlying discussion often comes back to: “What rules does its Hook actually change?”
However, it’s important to note:
Hooks provide expressive power—they do not guarantee returns.
Market liquidity, token allocation, exit structures, and sentiment cycles will continue to drive the majority of short-term price movements.
v4 changes how the rules are written, but it does not end market competition.

Image source: Opensea
Compared to many abstract Hook narratives, Slonks is a much more tangible example. At its core, it’s an NFT state machine project. The main mechanic is straightforward: the on-chain model “imitates” the corresponding CryptoPunk, and intentional deviations and errors—called slop—are embraced as part of the project’s aesthetic. The key is the merge mechanism: two NFTs of the same level can be merged, burning one and upgrading the other, which then changes its visual state.
Scarcity is created through:
Ongoing burns
State evolution
Reduction in NFT supply
Community preference for “higher-level slop”
This logic is closer to a game-like state machine than a traditional PFP collection.
The subsequent launch of $SLOP further financialized the NFT scarcity structure.
According to public project information:
The official ETH/$SLOP pool is built on Uniswap v4
Swap trading fees are distributed via Hooks
Some funds are used for buybacks, NFT-related operations, or allocated to specific pools
Hooks serve as the “funds allocation and trading fee routing layer,” rather than the core NFT logic
Hooks may not create the narrative, but they now determine “how funds flow around the narrative.”

Image source: Opensea
If Slonks is about NFT state changes, UPEG takes it further: it turns the act of trading itself into content. User interactions with the pool are themselves part of a generative process.
In some experimental designs:
Swaps
Adding or removing liquidity
Specific path interactions
Participation in specific blocks
all can trigger Hook logic and further alter on-chain state. On-chain rendering then generates pixel art, serial numbers, allocations, or visual content.
As a result:
Trading is no longer just trading.
It also serves as:
Content generation
State recording
Scarcity allocation
Identity marking
The Hook becomes the central hub of the behavioral state machine. For many, the first time they see such a project, the question is: “Why does a single swap carry so much meaning?” But from a product design perspective, this is a new on-chain scarcity paradigm: scarcity now comes not just from “holding,” but from “participation.”

Image source: SATO official website
While UPEG focuses on content, SATO leans toward experimentation with financial structures.
Recently, SATO-related experiments on Ethereum have begun to:
Integrate bonding curves
Manage liquidity
Design trading fee structures
Implement reserve logic
directly through Uniswap v4 Hooks.
The core approach is typically: users buy along a bonding curve; as a certain phase is reached, the system gradually opens up to a broader secondary liquidity environment.
The Hook is responsible for:
Diverting a portion of trading fees
Managing funds based on specific conditions
Switching between issuance and liquidity phases
Controlling reserve flows
This kind of design is sparking widespread discussion because it blurs the boundaries between issuance and market making.
Previously, most token issuances were one-off events. Now, some projects are integrating issuance, liquidity, trading fees, and market behavior into a continuously running system. Naturally, such structures raise concerns. When a project claims every trade accumulates value, trading fees continually reinforce the underlying asset, and liquidity is automatically enhanced—
What users should really be asking is:
How can these assets be withdrawn?
Who has priority in extreme market conditions?
Is there governance privilege?
Are there hidden liquidity exits?
Is buyback and fund usage transparent?
These questions are not at odds with being a Hook project. But in many market narratives, they’re often overlooked.
The real significance of the Hook trend isn’t whether a particular project will keep rising.
What matters is that a new design paradigm is emerging in the Ethereum ecosystem. Previously, AMMs served simply as trading infrastructure.
Now, they’re evolving into:
Behavior recording layers
State update layers
Content generation layers
Fund allocation layers
Scarcity management layers
Trading is no longer just an isolated action—it’s becoming a composable, recordable, and priceable on-chain behavior.
UPEG turns actions into content
SATO integrates actions into issuance and liquidity structures
Slonks encodes scarcity into NFT state changes
These projects may not all succeed in the long run, but they all demonstrate that Uniswap v4 is moving AMMs from “trading protocols” to true “on-chain behavior engines.” And this wave of experimentation is likely just beginning.
Disclaimer: This article is for technical and market analysis only and does not constitute investment advice. Crypto assets are highly volatile, and some experimental protocols may carry liquidity, contract, security, and governance risks. Always independently verify contract addresses, audit reports, on-chain data, and project documentation, and carefully assess principal risk before participating.





