> For the complete documentation index, see [llms.txt](https://algoratorlaunchpad.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://algoratorlaunchpad.gitbook.io/whitepaper/algonomics.md).

# ALGONOMICS

**Total supply**: 500.000.000&#x20;

Inititial Marketcap: $500,000

Ticker: $ALGORATOR

<table><thead><tr><th width="317">Who Buys</th><th width="261">Price Level</th><th width="220">Price (USD/$ALGORATOR)</th></tr></thead><tbody><tr><td>VCs, Partners, Strategic</td><td>Lowest price (30% discount)</td><td>$ 0,00839</td></tr><tr><td>Early Community</td><td>Medium price (15% discount)</td><td>$ 0,0102</td></tr><tr><td>Public (open trading starts)</td><td>Listing price</td><td>$ 0,01199</td></tr></tbody></table>

<figure><img src="/files/vXYbI4lLUBwoMqMj5mB0" alt=""><figcaption></figcaption></figure>

#### **Private Sale**

* **Total Tokens**: 45,000,000 (9% of total supply)
* **TGE Allocation**: 10%
* **Cliff**: 6 months
* **Monthly Vesting**: 3.7% over 24 months\
  This structured vesting ensures a gradual and equitable distribution of tokens for early supporters, aligning their interests with the project's long-term success.

***

#### **Public Sale (Presale)**

* **Total Tokens**: 12,000,000 (2.4% of total supply)
* **TGE Allocation**: 15%
* **Monthly Vesting**: 14% over 6 months\
  A moderate TGE unlock with rapid vesting ensures participants receive their tokens quickly while balancing liquidity and price stability.

***

#### **Team Allocation**

* **Total Tokens**: 50,000,000 (10% of total supply)
* **TGE Allocation**: 0%
* **Cliff**: 12 months
* **Monthly Vesting**: 0.2% over 48 months\
  This allocation ensures the long-term commitment of the team and aligns their interests with the project's sustained growth.

***

#### **Partnerships and Advisors**

* **Total Tokens**: 25,000,000 (5% of total supply)
* **TGE Allocation**: 0%
* **Cliff**: 12 months
* **Monthly Vesting**: 0.1% over 48 months\
  This allocation supports strategic collaborations and meaningful guidance from advisors and partners.

***

#### **Development**

* **Total Tokens**: 50,000,000 (10% of total supply)
* **TGE Allocation**: 0%
* **Cliff**: 6 months
* **Monthly Vesting**: 0.41% over 24 months\
  Gradual vesting ensures continued development support and alignment with the project roadmap.

***

#### **Marketing and Exchange Listings**

* **Total Tokens**: 29,000,000 (5.8% of total supply)
* **TGE Allocation**: 10%
* **Cliff**: 6 months
* **Monthly Vesting**: 0.24% over 24 months\
  This allocation prioritizes visibility and liquidity through ongoing marketing campaigns and exchange listings.

***

#### **Ecosystem Rewards**

* **Total Tokens**: 285,000,000 (57% of total supply)
* **TGE Allocation**: 0%
* **Monthly Vesting**: 0.95% over 60 months\
  This allocation encourages long-term community engagement and ecosystem growth by supporting staking, rewards, and community contributions.

***

#### **Liquidity Pool**

* **Total Tokens**: 4,000,000 (0.8% of total supply)
* **TGE Allocation**: 100%\
  This allocation ensures sufficient initial liquidity for token trading and price stability.


---

# 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, and the optional `goal` query parameter:

```
GET https://algoratorlaunchpad.gitbook.io/whitepaper/algonomics.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
