Batch'd
By @sanjayamirthraj & @0xSouradeep
https://devfolio.co/projects/batchd-678a
Batch'd parallelizes Ethereum's sequential transaction processing by intelligently grouping mempool transactions based on independent state accesses. Using an EigenLayer AVS implementation with a state access batching algorithm, it determines which transactions can be processed simultaneously without conflicts. This solution works with sequencers and proposers to form optimally parallelizable blocks, significantly improving Ethereum's throughput and efficiency.
Amazing work, folks! It speaks volumes when people show their support for you.
Also, sincere thanks to everyone for the quiet encouragement since I began this series - your support made this project much more enjoyable!
I've created a video for this installment and tried to present my ideas visually this time (as a visual learner myself). Do share your feedback, fam :)
