Gwyneth Profile picture
Jul 15 13 tweets 3 min read Read on X
Introducing Gwyneth — a based rollup synchronously composable with Ethereum. 🌸

Bootstrapped by @taikoxyz. 🥁

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What is Gwyneth and how does it work?

Gwyneth is based. Transactions are sequenced by Ethereum L1 validators, while blocks can be constructed by compatible L1 builders.

Gwyneth inherits Ethereum’s security, decentralization, and liveness.



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Gwyneth is synchronously composable.

We call it a “booster rollup" when composing with and extending the L1. Booster rollups leverage native sequencing, enabling seamless access to rollups and L1 state, leading to a based singularity with no fragmentation.

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Gwyneth is preconfirmed.

By enabling L1 validators to commit to L2 states with preconfirmations, we allow for a great UX with fast transaction confirmations, while fairly distributing congestion and contention fees amongst all participants in the base layer.

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As the world’s first based preconfirmed transaction occurred on Taiko's testnet, we are committed to carrying the spirit forward. 💪



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Gwyneth is born finalized.

Secured by Taiko’s in-house multi-prover Raiko, Gwyneth is designed with real-time proving as a premise of synchronous composability.



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Currently, we utilize TEE as a minimal guardian of execution, and in the future, Gwyneth will benefit from optimized zkVMs including SP1, Risc0, and potentially many others.

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Why "Gwyneth"?

In Welsh, "gwyn" means "pure". To us, Gwyneth manifests the best of Ethereum in the rollup-centric roadmap.

Running the EVM, validated by L1 validators, seamlessly composing with other rollups in real-time, Gwyneth embodies what we've long aspired to create.

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We would like to acknowledge a few partners/firms who have developed open-source code that Gwyneth depends on. These are:

@paradigm, @RiscZero, @SuccinctLabs, @NethermindEth, @LimeChainHQ, @chainbound_, @powdr_labs, @AutomataNetwork.

Thank you for your invaluable work!

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As we develop Gwyneth, we plan to produce research content on based rollups, preconfirmations, multi-provers, horizontal scaling, and other critical topics.

Stay tuned for updates!

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In the meantime, you can follow our progress on GitHub and here on X.



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Read the full introductory article to learn more about Gwyneth:



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