zkPass has released the ZKP Tokenomics: a total supply of 1 billion tokens, with 48.5% allocated to the community.
BlockBeats News, October 30, zkPass, a privacy-preserving data verification protocol, released the ZKP Tokenomics. The total supply of ZKP tokens is 1 billion, distributed as follows:
· 48.5% will be allocated to the community (12.5% unlocked at TGE, 6% linearly unlocked in the first 3 months, 30% unlocked monthly over the next 5 years) for ecosystem development, including verifiable airdrops, network incentives, community sales, exchange marketing, and strategic partnerships;
· 22.5% will be allocated to early investors (linearly unlocked after a 12-month lockup period for 18 months);
· 14% will be allocated to core contributors (linearly unlocked after a 24-month lockup period for 24 months);
· 10% will be allocated to the DAO treasury (linearly unlocked over 5 years);
· 5% will be allocated to liquidity (100% unlocked at TGE).
The data is based on the initial tokenomics model and may be adjusted following DAO governance updates.
You may also like

The migration of settlement rights: B18 and the institutional starting point of on-chain banks

From Tencent and Circle: Looking at the Simple and Difficult Questions of Investment

The second half of stablecoins no longer belongs to the crypto circle

Cursor "Shell" Kimi Controversy Reversed: From Copyright Infringement Allegations to Authorized Collaboration, China's Open Source Model Once Again Becomes a Global AI Foundation

The Real Reason Tokens Don't Sell: 90% of Crypto Projects Overlook Investor Relations

Is the income of pump.fun real, earning a million dollars a day despite the market downturn?

The real reason why tokens are not selling: 90% of crypto projects neglect investor relations

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
