Find what's quietly throttling your protocol.

Monad runs transactions in parallel. But when many touch the same storage, they collide and have to re-run one at a time. That hidden serialization caps your throughput. pev traces every block and shows you exactly where it happens, and how to fix it.

Here's pev on a live Monad contract

// before: every tx writes the same slot, forced serial
uint256 public total;

function record(uint256 amt) external {
    total += amt;            // <- the hot slot, all writers collide here
}

// after: writers hit independent shards, run in parallel
mapping(uint256 => uint256) private totalShard;
uint256 constant SHARDS = 16;

function record(uint256 amt) external {
    totalShard[uint256(uint160(msg.sender)) % SHARDS] += amt;
}
// read total = sum(totalShard[0..SHARDS-1]) when you actually need it

A full contract performance audit

Every collision is work the chain did twice

Monad executes optimistically in parallel, then re-runs any transaction whose reads or writes conflicted with an earlier one. High contention means more re-execution: wasted compute, higher latency under load, and a lower effective throughput than the chain could deliver. Cutting contention is the single highest-leverage performance win for a busy contract, and almost nobody can see it today. pev can.

Audit your contract

We'll identify your biggest contention sources, the contracts colliding with you, the storage slots forcing re-execution, and the architecture changes with the highest ROI, all from Monad mainnet data. Built by Silk Nodes.