# SiM - Share is Mining

<figure><img src="https://1282197019-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F2AF8OvfAjR9SpF6GCFnB%2Fuploads%2Fu0MhknCdHgPNYvs3pf9q%2FCover_4.png?alt=media&#x26;token=91c0f107-0142-4db1-8157-2fcc6199f51b" alt=""><figcaption></figcaption></figure>

If we could turn every user into a promoter, our project would soar. However, such scenarios are mostly found in dreams. Every share has value, and AI Starter introduces the concept of "value-storing" shares through its SaaS service. It gathers global web3 KOLs and KOCs, uses authoritative community analysis services to squeeze out the non-contributive parts of community accounts, and sets up rewards based on the effectiveness of the posts. Rewards can be claimed as soon as the content reaches the reward threshold.

### Community Account Analysis

It is well-known that building a social media account with 100,000 followers does not come cheaply, making community account analysis extremely important. We use services like Klear, FollowerAudit, and Twitteraudit to filter out fake accounts. As a result, an account with 1,000 followers may be far more valuable than one with 10,000 followers, ensuring that the rewards offered by projects are truly worthwhile.

### Sharing as Mining

Project organizers pre-transfer rewards to a smart contract. Whenever a sharer logs in to request a reward, our servers collect relevant information and update it in the contract through Oracle. This process makes the distribution of all rewards more transparent and traceable. Consequently, the more frequently this process is executed, the higher the rewards provided by AI Starter will be.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://aistarter.gitbook.io/whitepaper/protocols/sim-share-is-mining.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
