Monad Tokenomics Overview: On the mainnet launch day, 49.4% of the total supply will be unlocked, with 10.8% circulating through public sale and airdrops, and 38.5% managed by the Monad Foundation.
BlockBeats News, November 10th, Monad officially released detailed Tokenomics. When Monad's mainnet went live, the initial total supply of MON was 100 billion, allocated as follows:
· Ecosystem Development: 38.5%
· Team: 27.0%
· Investors: 19.7%
· Category Labs Treasury: 4.0%
· Public Sale: 7.5%
· Airdrop: 3.3%
On the mainnet launch day, it is expected that 10.8% (10.8 billion MON) will enter circulation through the public sale and airdrop, available immediately for ecosystem activities. Another 38.5% (385 billion MON) is allocated to the Ecosystem Development Fund, managed by the Monad Foundation and in an unlocking state. Therefore, the total unlock amount on the first day of the mainnet launch is 49.4% (494 billion MON).
Tokens held by investors, team, and Category Labs Treasury are locked on the mainnet launch day and will be gradually released according to established rules to ensure long-term aligned interests. These tokens have a minimum lock-up of one year (until November 2026), with specific release schedules varying by group. At the mainnet launch, 50.6% (506 billion MON) are in a locked state.
You may also like

Who is the true winner of the "Tokenization" narrative?

Moss: The Era of AI-Traded by Anyone | Project Introduction

Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update

How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.

Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K

Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?

Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.

AI Starts to Devour the Manufacturing Industry | Rewire News Morning Edition

When Scaling Meets Speed, Ethereum Foundation Introduces "Hardness" to Safeguard the Base Layer

Google, Circle, Stripe Flock Together to Let AI Spend Money: Payment Giants' Joys and Worries in 2026 Q1

$100 Billion Factory Purchase: Bezos and Middle Eastern Capital Shift AI Money from Cloud to Shop Floor

Xiaomi and MiniMax both unleash their ultimate moves, signaling the start of the Agent Pricing War.

Predicting markets has taken the spotlight, but the Perp DEX has been quietly waging war on traditional exchanges.

Is the Market Slump Still Making Millions a Day? Is pump.fun's Revenue Real?

Understanding x402 and MPP in One Article: The Two Paths of Agent Payments

Quick Look at the Latest 18 Graduation Projects from Alliance: Who's the Next Pump.fun?

It's not just the prediction market that profits from the Iraq War
Who is the true winner of the "Tokenization" narrative?
Moss: The Era of AI-Traded by Anyone | Project Introduction
Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.