Monad: The Complete Guide

How Monad's parallel EVM reaches for 10,000 TPS with one-second finality: MonadBFT, MonadDB, the MON token, and the 2026 ecosystem, explained.

By Web3Wagmi Team7 min read
Table of contents

Every high-performance chain of the last few years has made the same trade: to go fast, give up something Ethereum developers actually rely on. Solana went fast by abandoning the EVM. Most rollups kept the EVM but inherited a base layer's limits. Monad's pitch is that you do not have to choose. It is a Layer 1 that keeps 100% EVM bytecode compatibility, so your Solidity contracts and your MetaMask just work, and then rebuilds everything underneath the execution layer to run in parallel on modern hardware. The claim is 10,000 transactions per second with one-second finality, on a chain where a normal person can still afford to run a full node. This is the full picture: who built it, how the parallel execution actually works, what MON is for, and where the ecosystem stands in 2026.

What is Monad?

Monad is a high-throughput EVM Layer 1 built by a team of former Jump Trading engineers, led by Keone Hon and James Hunsaker. The project raised $244 million, including a $225 million round led by Paradigm in early 2024, which made it one of the best-funded new chains of the cycle. After a long, heavily used testnet, Monad launched its mainnet on 24 November 2025, alongside the MON token via a public sale on Coinbase.

The core insight is unglamorous but important: most blockchains process transactions one at a time, in a single sequence, even though the computer running the node has many idle CPU cores and the transactions in a block often have nothing to do with each other. Two people swapping on different pools, or sending tokens to different friends, do not need to wait in line behind one another. Monad's whole design is about doing that independent work at the same time, without breaking the deterministic, EVM-compatible result that makes Ethereum software portable.

The core idea: parallel execution, done carefully

Monad uses optimistic parallel execution. When a block arrives, Monad runs its transactions in parallel across CPU cores, assuming they do not conflict. It tracks which pieces of state each transaction reads and writes. When two transactions touch the same state (say, both trade against the same pool), Monad detects the collision and simply re-executes the later one with the corrected inputs. Because the large majority of transactions in a typical block are independent, the net effect is close to a linear speedup on multi-core machines.

What makes this developer-friendly is what it does not ask of you. Some parallel chains require developers to declare, up front, every account or piece of state a transaction will touch, so the scheduler can plan around it. Monad figures the dependencies out at runtime. You write ordinary Solidity, deploy the same bytecode you would on Ethereum, and the parallelism happens beneath you. If you have read our parallel-execution explainer inside the DeFi guide, this is that idea taken to the base-layer level.

MonadBFT and deferred execution

Speed at the execution layer is wasted if the network still has to stop and agree on results before it can move on. Monad separates the two jobs. Validators first reach consensus on the order of transactions, then execute them a short distance behind that agreed order. This is called deferred execution, and it means consensus is never bottlenecked on computation.

The consensus itself, MonadBFT, is a pipelined byzantine-fault-tolerant protocol in the HotStuff lineage, tuned for one-second block times and single-slot finality. Pipelining lets different phases of consecutive blocks overlap, so the chain is always making progress rather than waiting for one block to fully finalize before starting the next. The practical payoff for a user is that a confirmation feels instant and is final in about a second, with none of the long "wait for enough confirmations" ritual that older chains demand.

Full nodes stay cheap: MonadDB

The part of Monad that gets least attention matters most for decentralization. Fast execution generates a lot of state, and reading and writing that state to disk is usually the real bottleneck, not the CPU. Monad wrote its own database, MonadDB, purpose-built for the Merkle-Patricia trie that Ethereum uses, with asynchronous I/O so the processor is not left idle waiting on the disk.

The reason this is a decentralization story, not just an engineering one, is hardware. If keeping up with the chain requires a data-center machine, the validator set drifts toward a handful of professional operators. Monad's goal is that a full node runs on affordable, consumer-grade hardware, so ordinary participants can verify the chain themselves. High throughput and a low hardware floor usually pull in opposite directions; MonadDB is the attempt to have both.

The MON token

MON is the native asset. It pays for gas, and it secures the network through staking in Monad's proof-of-stake system, where validators stake MON and can be delegated to. Governance and ecosystem incentives round out the role.

Be clear-eyed about supply. MON has a maximum supply of 100 billion, with only a fraction circulating at launch and a schedule of unlocks running through 2026 and beyond. Large scheduled unlocks are structural sell pressure: more tokens become liquid over time regardless of usage, which can weigh on price even when the network is growing. Treat MON as a volatile, early-stage asset, and verify the live circulating supply and unlock calendar before drawing any conclusions. Price is not covered here on purpose; check a live source.

The ecosystem in 2026

A fast chain with nothing to do on it is a benchmark, not a network. Monad came out of testnet with an unusually large builder base, 300+ projects across DeFi, infrastructure, and consumer apps, and the major money-market and stablecoin primitives moving in (an Aave deployment among them, extending the same lending model covered in our Aave guide).

The category worth watching first is trading. High throughput and one-second finality are exactly what an on-chain order book needs, and Kuru is the clearest example: a fully on-chain, order-book DEX built specifically for Monad, the kind of app that is impractical on slower EVM chains and finally viable here. If you are surveying that landscape, our best perpetual DEXs roundup gives the wider context. Expect the strongest early traction on Monad in trading venues, liquid staking, and infrastructure, where raw speed converts directly into a better product.

Monad versus the alternatives

Against Solana, Monad's argument is EVM compatibility. Solana is fast and battle-tested, but it is a different virtual machine and toolchain; Monad lets the enormous base of existing Ethereum contracts and developers move over with little friction while chasing similar performance.

Against Ethereum Layer 2s like Arbitrum and Base (see our best Ethereum L2s list), Monad's argument is that it is its own Layer 1, so its throughput is not gated by an underlying settlement layer or by data-availability costs. The counter-argument is equally real: L2s inherit Ethereum's security and its liquidity, while a new L1 has to bootstrap security, a validator set, and liquidity from scratch. Which trade is better depends on what you value. Monad is betting that a genuinely fast, credibly decentralized, fully EVM-compatible L1 is a category the market still wants.

How to get started

  1. Add the network. Monad works with standard EVM wallets. Add its RPC to MetaMask or your wallet of choice, and always confirm network details from official Monad channels rather than a random link.
  2. Bridge a small amount of assets over, and keep a little MON for gas.
  3. Try an app you already understand. If you use lending or an order-book DEX elsewhere, use the Monad version and compare the speed and cost for yourself.
  4. Start small and verify everything. A new L1 means newer contracts, thinner liquidity, and less audit history than mature chains. Size positions accordingly.

Bottom line

Monad is the most serious attempt yet to prove that EVM compatibility and raw performance are not a zero-sum trade. Optimistic parallel execution, deferred execution with MonadBFT, and a purpose-built MonadDB add up to a coherent design: fast where it counts, familiar to every Ethereum developer, and deliberately cheap to run a node on. The open questions are the ones every new L1 faces. Can it turn a large builder base into durable liquidity and users, and can it hold up its decentralization claims under real load? The token's unlock schedule is a genuine overhang, and mainnet is young. But as a piece of engineering and a bet on where high-performance chains are heading, Monad has earned the attention it is getting. Use it, verify the live numbers, and judge it on usage rather than promises.

For related reading: what is DeFi, Kuru, the on-chain order-book DEX on Monad, best perpetual DEXs, and how to find crypto airdrops.

Not financial advice. MON is volatile and a new L1's mechanics and metrics change quickly. Always verify network details, contract addresses, circulating supply, and live throughput on official Monad channels and independent explorers.

Frequently asked questions

What is Monad?

Monad is a Layer 1 blockchain that runs the Ethereum Virtual Machine with parallel execution, aiming for 10,000 transactions per second and one-second finality while staying 100% EVM bytecode compatible.

When did Monad launch?

Monad launched its mainnet and the MON token on 24 November 2025, after years of testnet and a public token sale via Coinbase.

How fast is Monad?

Monad targets 10,000 transactions per second with one-second block times and single-slot finality. Real sustained throughput depends on network load, so check a live explorer for current numbers.

Is Monad EVM compatible?

Yes. Monad keeps full EVM bytecode compatibility and Ethereum RPC support, so existing Solidity contracts and tools like MetaMask, Foundry, and Hardhat work without changes.