Gas Killer is an Actively Validated Service (AVS) built on EigenCloud that transforms how we think about on-chain computation. Instead of executing expensive calculations directly on Ethereum, Gas Killer uses a network of operators to simulate transactions off-chain and write back only the essential storage updates and external calls.
The core innovation is simple but powerful: replace complex on-chain operations with aggregate signature verification. When a transaction comes in, Gas Killer's operators execute the logic off-chain, compute the final state changes, and return an aggregate signature proving the computation was performed correctly. The smart contract then verifies this signature and applies the storage updates and external calls—consuming a fraction of the original gas cost.
Gas Killer's mission is to super scale Ethereum computation by making complex on-chain operations dramatically cheaper, enabling a new era of applications that were previously economically impossible.
More specifically, the mission encompasses:
Breaking the gas cost barrier - Making gas expensive smart contract operations dramatically cheaper with only one line of code, addressing the fundamental barrier that Ethereum's gas costs have created for complex computations
Keeping value on Ethereum L1 - While Layer 2 EVM blockchains have helped with scaling, they have produced a fragmented ecosystem and capital, making it difficult to onboard new users and pushing value away from the Ethereum L1. Gas Killer aims to scale computation on L1 itself.
Enabling new use cases - Gas Killer is positioned as just the start of a Cambrian explosion of new use cases and applications across voting mechanisms, privacy, ZK proof verification, on-chain art, gaming, and more paragraph
Developer empowerment - Allowing smart contract developers to optimize for security and expressiveness rather than gas costs, and enabling methods that go beyond the block gas limit paragraph
Ethereum's high gas costs make complex computations economically unviable, creating a fundamental barrier to mass adoption. Operations involving multiple storage reads, calculations, and state updates are prohibitively expensive on mainnet, forcing developers into extensive gas optimization rather than focusing on security and expressiveness. This computational limitation affects critical use cases including privacy protocols requiring heavy cryptographic operations like ZK proof verification, complex computational logic, and on-chain governance systems.
This computational limitation directly impacts public goods tooling: quadratic funding mechanisms require complex vote tallying, reputation systems need iterative score calculations, impact measurement tools must process large datasets that are on-chain, and capital allocation protocols demand sophisticated multi-stakeholder computations. These operations are often prohibitively expensive or impossible within block gas limits, forcing compromise on decentralization, transparency, or feature richness.
Gas Killer makes gas-intensive operations dramatically cheaper through off-chain computation and aggregate signature verification, reducing any function with internal reads and calculations above verification cost down to just that verification plus necessary storage writes with only one line of code required for integration. This enables cheaper smart contract transactions and previously impossible applications while keeping computation and value on Ethereum mainnet.
This means at least two very big things.
Smart contract developers do not need to do nearly as much gas optimizations as what is the norm today. Instead of optimizing for gas costs, developers can now optimize for other things like security or expressiveness. This also means we can do calculations on dynamic arrays!
We can now run methods that go beyond the block gas limit. No matter how complex the computation, even if it’s more gas than is technically allowed in a block, Gas Killer can run it. Of course the exact extent of how far this can go needs to be tested but it should be ok if it can be run on a single computer.
