- Revenue model by Core targeting stablecoin issuers for added earnings.
- First protocol rewarding based on user-generated gas fees.
- Innovation targets increased user and developer incentives on Core blockchain.
Core’s launch of a revenue-sharing model may impact blockchain developer engagement and stablecoin market dynamics.
The Core Foundation and Core DAO have introduced Rev+, a revenue-sharing model for stablecoin issuers and developers. The initiative aims to align incentives by allowing them to earn from user-generated gas fees. Hong Sun, Core Foundation’s institutional lead, emphasized the importance of this approach to promote fair compensation for projects contributing to the Web3 ecosystem.
“Stablecoins now account for over one-third of DeFi revenue. Yet issuers do not earn revenue from transaction activity. Rev+ will change that by aligning incentives so that the projects powering Web3 actually get paid when their tokens move.” — Hong Sun, Institutional Lead, Core Foundation
The move signifies a shift in how blockchain protocols support their ecosystems financially. By allowing Core’s native token (CORE) holders and developers to share in transaction revenues, the DAO is setting a precedent for DeFi’s economic structures. Stablecoin issuers integrating with Core protocols are expected to benefit, potentially increasing the platform’s attractiveness for developers.
Financially, the initiative could drive higher demand for CORE, as fee-sharing architecture could improve token valuation. Additionally, Ethereum-based projects might experience indirect effects due to Core’s EVM compatibility. The focus on sustainable funding reduces dependence on token issuance, potentially stabilizing community sentiment.
Anticipated outcomes include greater developer interest and enhanced ecosystem liquidity. Historically, similar models have led to temporary governance token price boosts and increased participation. Collaboration with stablecoin issuers could witness Core’s program becoming a model for incentivizing constructive blockchain use. Observing on-chain metrics such as transaction volume and new address creation will determine the model’s real-time effectiveness.
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