> For the complete documentation index, see [llms.txt](https://lol-really.gitbook.io/lol_really/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lol-really.gitbook.io/lol_really/project-overview/publish-your-docs.md).

# LOL\_Reality Information

LOL\_Really is a Binance Smart Chain Bep20-based source code with 11,111,111 tokens issued Details of this token are as follows

1. 0% tax
2. 0% stake in the team
3. more than 1% Free Air Drop
4. more than 50% pre-sale
5. more than 40% Liquidity

<figure><img src="/files/5zZfrSJL2ImASRkuoyl1" alt=""><figcaption></figcaption></figure>

LOL\_Really distributes all tokens to all users Of course, there's a 50% presale. But there's no set price for this. All 50% tokens are allocated for 1$ even if the total participants only raise 50% tokens for 1$ In addition, the remaining 40% through the pink sale will be registered in the automatic liquidity pool. That's why ordinary team members don't own shares

Of course, the lock registered for liquidity is publicly available. This can be seen at Pink Sale or BSC Scanner

Therefore, the token value of LOL\_Really will be left to the market 100%. This is like there are no team members who can control themselves However, on the community and various Twitter, we will continue to share the project and update additional details This is a real decentralized meme


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://lol-really.gitbook.io/lol_really/project-overview/publish-your-docs.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.