#Ai#RWA#web3

### Analysis of the Core Model of Coinsidings Platform

#### 1. **Core Concept**

Transform user consumption, social, and other behaviors into “computing power,” and build a tourism finance ecosystem based on “computing power + RWA (Real World Assets, tokenization of real-world assets)” to achieve the integration of consumption and investment.

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#### 2. **User Behavior Computing Power Model**

User behavior data directly participates in profit distribution as “computing power,” categorized into three types:

- **Consumption Computing Power**

- Layered weighting of consumption amount:

- ≤1000CHT: Coefficient 0.01

- 1000-10000CHT: Coefficient 0.02

- ＞10000CHT: Coefficient 0.03

- **Marketing Computing Power**

- Layered weighting of promotion amount (similar to consumption computing power).

- **Community Computing Power**

- Interaction behaviors (such as likes, comments) converted into brand operation value.

**Merchant Computing Power**: Merchants can participate in distribution through traffic sharing and user satisfaction.

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#### 3. **Profit Distribution Mechanism**

- **Computing Power Profit Formula**:

\[

\text{Computing Power Profit} = \text{Total Platform Profit} \times \left(\frac{\text{User Computing Power}}{\text{Total Computing Power}}\right) \times \text{Weight Coefficient}

\]

- Weight coefficients are graded (e.g., 1.0-3.0), with highly active users receiving higher profits.

- **Profit Sources**:

- Entertainment scenarios, advertising revenue, RWA consumption dividends, etc.