Monad

Monad is a Layer 1 that keeps full Ethereum bytecode compatibility while rebuilding the execution engine to run transactions in parallel. The bet is specific: that most of Ethereum's throughput limit comes from implementation rather than from the EVM specification itself.

Compatibility without inheriting the bottleneck

Existing contracts deploy unchanged and existing tooling works, so developers do not have to learn a new language or rewrite anything. That removes the adoption barrier facing every non-EVM chain, and it constrains the design — the optimisation has to happen beneath the interface rather than by changing it.

Optimistic parallel execution

Transactions run simultaneously and conflicts are detected afterwards, with only genuinely conflicting transactions re-run. Developers do not declare dependencies in advance, unlike designs requiring explicit access lists. The benefit disappears only when transactions actually contend for the same state.

Pipelining separates consensus from execution

Rather than agreeing on a block and then executing it, the stages overlap so consensus on one block proceeds while another executes. This is standard practice in database and processor design and unusual in blockchains, and it is where much of the claimed throughput comes from.

Custom state storage

General-purpose databases are not built for the access patterns a blockchain generates. Replacing that layer with purpose-built storage addresses a bottleneck most chains inherit from off-the-shelf components — unglamorous engineering that often matters more than consensus design.

What to weigh

A serious engineering effort at a real constraint, competing in a crowded field where several chains now offer parallel EVM execution. The differentiator will be sustained application activity rather than benchmark figures, and hardware requirements for validators are the corresponding decentralisation cost.