1. Token Allocation

$NOISE has a fixed supply of 100 million tokens. Each category is governed by a transparent vesting schedule to ensure sustainable ecosystem growth and long-term alignment.

Allocation Breakdown (Largest to Smallest):

  • 20% – Rewards (Staking & Participation)
    3-month cliff → 97-month linear vesting
  • 21.2% – Ecosystem & Marketing
    6-month cliff → 18-month linear vesting
  • 15% – Treasury Reserve
    Held for liquidity, volatility smoothing, and protocol security
  • 10% – Music Investment Fund
    0-month cliff → 36-month linear vesting
  • 10% – Team
    12-month cliff → 36-month linear vesting
  • 6% – Airdrops (Artists & Community)
    3-month cliff → 18-month linear vesting
  • 5% – Liquidity Provider (LP) Rewards
    0-month cliff → 30-month linear vesting
  • 4% – Advisors
    12-month cliff → 12-month linear vesting
  • 3.8% – Pre-seed & Bridge Rounds
    12-month cliff → 12-month linear vesting

Every allocation is structured to prioritize contribution, reduce volatility, and fund real-world utility without inflated emissions or passive yield mechanics.

2. Vesting Schedule

The $NOISE token release is designed for long-term sustainability and aligned participation. Each allocation follows a structured unlock schedule with built-in cliffs and linear vesting to reduce sell pressure and encourage ecosystem contribution over time.

  • Team tokens are locked for 12 months, then vest over 36 months.
  • Pre-seed and bridge investors face a full-year lock, followed by 12 months of linear release.
  • Tokens earmarked for campaigns, artist and project growth are disbursed gradually over 24-36 months in alignment with verified participation.
  • Rewards, LP incentives, and airdrops are released over multi-year schedules, tied to milestones and community engagement.
  • The treasury reserve remains locked for use only for stability and liquidity requirements.
  • This structure ensures that $NOISE enters circulation gradually,
    supporting ecosystem adoption and sustainable growth.

    Learn more