💰Composition of proceeds

Three Transparent, Scalable, and Verifiable Income Streams

BitEngine has designed three distinct income channels for users—each one transparent, growth-oriented, and backed by verifiable and calculable real-world mining activity.


① Daily Mining Rewards from NFT Mining Machines

  • Each NFT is linked to a real, physical mining machine

  • Rewards are sourced from actual daily BTC mining output

  • 80% of the yield is distributed to NFT holders, while 20% is used for platform operations

  • Rewards are viewable in real-time, settled daily, and withdrawable at any time


② Direct Referral Rewards (First-Level Promotion)

  • Once a user becomes a node by successfully purchasing NFT and destroying tokens, they can refer users and immediately receive 40% of their USDT contribution as a referral bonus

  • Each user’s cumulative referral income is capped at 3× their NFT holdings

  • Rewards can stack infinitely, allowing unrestricted team expansion

  • All referral relationships are permanently bound on-chain — repeated NFT purchases by invitees will continue to generate rewards


③ DAO Governance Contribution Rewards

  • BitEngine allocates a portion of platform-wide mining income to a governance-driven community reward pool, aiming to recognize and reward users who actively contribute to the decentralized ecosystem.

  • Rewards are distributed based on the relative performance and structural contribution of each user’s decentralized network, including staking activity, team expansion, and governance participation.

  • No additional investment is required for advancement — all progress is driven by natural team growth and community engagement within the DAO structure.

  • Incentives are progressive in nature and designed to scale with each user's governance role and network impact.

  • To maintain active governance status and reward eligibility, users are required to periodically burn BITENG tokens, forming a long-term deflationary mechanism aligned with the DAO’s sustainability and tokenomics model.

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