🪙Tokenomics Whitepaper
Last updated
Last updated
This whitepaper outlines the innovative tokenomics model designed for UpRock, a DePIN + AI project committed to creating sustainable value for its customers, team, and contributors. Unlike traditional models that rely on large, impactful token releases, our approach focuses on a dynamic, performance-based distribution system, inspired by NFT royalties and real-time revenue sharing. By aligning incentives between the project and its stakeholders, we ensure a continuous, transparent growth mechanism that benefits all parties involved.
In the evolving landscape of digital assets, traditional tokenomics often lead to market saturation and value dilution. UpRock introduces a performance-based model that prioritizes sustainability, transparency, and community trust. Our methodology revolves around generating revenue from the application's utility, not from the community's liquidity. This approach ensures a stable and growing ecosystem where the team's rewards are directly tied to their contributions and the project's success.
Dynamic Distribution: Tokens are allocated to team members based on in-app revenue streams and product milestones. This real-time distribution model ensures that rewards are directly correlated with the value created by the team.
Royalty-like Mechanics: Similar to royalties in the NFT space, a portion of every in-app transaction is distributed among team members. This mechanism provides a continuous incentive for maintaining and enhancing the platform.
Transparent Spending: All transactions from the team wallet are recorded and explained, ensuring full transparency regarding how tokens are utilized.
AI Agent Usage: For every payment made for using UpRock’s AI-powered products, 50% is allocated to the treasury for further distribution, while 50% is allocated to the community via a buyback, 50% of the buyback will be burnt immediately..
Account Management and Services: For any account-related changes, management, and storage services, a small fee is charged. This fee is distributed with 50% allocated to the treasury for redistribution and 50% directed to pool via buyback mechanism,
Bandwidth Sales: When the team sells user bandwidth, 20% of the revenue goes to buyback and back into distribution, 40% to the treasury to be used for the company in future, and 40% directly to the network contributor.
Other Platform Fees: All various fees generated in the platform generated in $UPT will be distributed as 50% to burn immediately and 50% into treasury to redistribute to the contributors. The fees generated in other currencies (USDC, SOL, etc) will be distributed as 50% to buyback and burn 50% to buyback and to the company wallet.
We reserve the right to adjust these distribution percentages as necessary to ensure that all participants are compensated fairly and to maintain the overall health and sustainability of the network. All the rate and interest updates will be announced quarterly with a detailed report of all aspects.
Buyback and Redistribution: A portion of revenue is allocated for token buybacks, stabilizing the token's market value and reinvesting in the ecosystem's growth.
Buyback and Burn: A portion of the revenue is allocated for token buybacks and burn for sustainability.
Value Creation Over Circulation: Our economic model emphasizes generating value from the platform's current circulation, avoiding inflationary pressures and market dumps.
Sustainable Growth: Revenue generated from the application directly feeds back into the ecosystem, ensuring long-term sustainability and growth.
Performance-Based Rewards: The more the team contributes to the platform's success, the greater the rewards, aligning with our vision of unlimited potential for dedicated contributors.
UpRock’s tokenomics model signifies a transformative approach to digital asset management and distribution. Emphasizing real-time distribution, transparency, and mechanisms for sustainable growth, it establishes a new benchmark for fair and stable token ecosystems. This model directly confronts the limitations of conventional strategies, guiding us towards a more rewarding and open Web3 environment.
