boltThe Core Thesis

Why abstraction, not more protocols, is the only way DeFi becomes real infrastructure.

The core thesis behind GigaETH is simple, but it cuts against how DeFi has been built for the last five years: users should never have to understand the internal structure of yield-bearing capital in order to use it.

Legacy DeFi assumed that transparency and composability at the protocol layer would naturally translate into usability at the user layer. In practice, the opposite happened. As protocols multiplied, the cognitive surface area exposed to users exploded. Liquid staking tokens, restaking derivatives, wrappers, bridges, and chain-specific representations all solved real technical problems, but they did so by pushing complexity outward. Retail users were asked to become system integrators. Institutions were asked to manage dozens of risk vectors just to enable basic functionality like payments.

GigaETH rejects this model entirely.

The thesis is that productive capital should be abstracted into a single financial interface, regardless of how many protocols, chains, or derivatives sit underneath. Liquid staking tokens already represent a breakthrough at the consensus layer: they decouple ETH’s security function from its liquidity. But without a unifying abstraction, that breakthrough remains trapped inside DeFi itself.

From a user’s perspective, the question is not “which LST am I holding?” It is “how much productive ETH do I have, and what can I do with it right now?” Old DeFi answers this with dashboards, tutorials, and strategy threads. GigaETH answers it with an endpoint.

The second pillar of the thesis is that borrowing is not the end goal, payments are. Traditional DeFi lending protocols treat borrowing as a terminal action. Users borrow stablecoins or ETH, deploy them elsewhere, and eventually unwind. This works for leverage and speculation, but it breaks down for everyday economic activity. Payments require predictability, low friction, and seamless integration with existing merchant infrastructure.

GigaETH inverts the flow. Borrowing is a means, not an end. Yield-bearing ETH is linked once, abstracted once, and then continuously usable as a source of spendable liquidity without forcing users to sell, unstake, or exit their positions. The protocol treats borrowing demand as persistent, not episodic, because spending is persistent.

Finally, GigaETH is built on the belief that old DeFi must die not because it failed technically, but because it failed ergonomically. Education does not scale. Abstraction does. Every major financial system that achieved mass adoption did so by hiding complexity behind stable interfaces. The internet did not win because users learned TCP/IP. It won because they never had to.

GigaETH applies that lesson to Ethereum-native capital.

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