Introducing Gas Killer from Bread Cooperative

General
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Hello Gnosis Community!

We are excited to share a recent blog post about Gas Killer , a groundbreaking solution for scaling computation on Ethereum. In short, Gas Killer offers a way to dramatically reduce the gas costs of expensive smart contract operations with just one line of code.

How does it work? Instead of executing expensive calculations directly on Ethereum, Gas Killer uses a network of operators (AVS on EigenCloud) to simulate transactions off-chain and write back only the essential storage updates and external calls through aggregate signature verification.

This means at least two very big things.

  1. 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!
  2. 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.

Read in full here and subscribe to the blog for updates → https://paragraph.com/@gaskiller/introducing-gas-killer

Fill this form to get early access → Gas Killer Interest

We believe that Gas Killer is particularly interesting for the Gnosis community and suite of products building on Ethereum. For example, Gas Killer is useful for computations on dynamic arrays so we can imagine a Safe module that is able to more cheaply compute a large amount of votes for DAOs and their treasuries. Gas Killer is also great for verifying zero knowledge proofs so any privacy preserving protocols could use Gas Killer.

We would love to hear thoughts and comments on Gas Killer form the community! More technical explanation will be released in time but next we are planning to publish a case study on Gas Killer for Railgun to show how much could be saved for Railgun users.

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