The prediction platform Myriad has officially launched its innovative “Share to Earn” program, an initiative designed to reward its community of users and developers. This new on-chain revenue-sharing system aims to encourage participation and ecosystem growth by distributing a percentage of the profits directly to those who contribute to its expansion.
The core of the announcement details a clear and direct rewards system. Users who refer others to the platform will earn 1% of their referrals’ buy volume in USDC. Furthermore, these payments will be processed on the first Monday of each month, provided the accumulated amount reaches a minimum of $500. Thus, the initiative not only incentivizes attracting new participants but also rewards consistent activity within the platform’s seasons.
This Myriad revenue share program represents a significant step towards creating a fairer and more decentralized ecosystem. Unlike traditional models where profits are concentrated on the platform, Myriad is committed to a participatory model that recognizes and values the contribution of each member. This strategy seeks to align the company’s interests with those of its community, creating a virtuous circle of growth.
The market implications are noteworthy, as this approach could set a new standard in the decentralized prediction industry. For investors and users, the Myriad revenue share program offers an additional path to passive income, strengthening the platform’s value proposition. Consequently, the measure is expected to boost both user acquisition and trading volume, benefiting the ecosystem’s liquidity and stability.
A Collaborative Future for Creators and Developers
In summary, the implementation of the Myriad revenue share program is a strategic move to consolidate a loyal and active user base. Looking ahead, the next key step will be the expansion of this program to include developers who build applications and integrations on the platform, also offering them a 1% share and thereby fostering innovation from within the ecosystem.
