# Fundraise Outcomes

<details>

<summary><strong>Scenario 1:</strong> Happy Path — Maximum Target Reached</summary>

* Graduation is triggered automatically
* Tokens are minted
* Liquidity is created
* The model proceeds to deployment

</details>

<details>

<summary><strong>Scenario 2</strong>: Happy Path — Minimum Target Reached</summary>

* Graduation must be triggered manually
* Graduation is permissionless that anyone can trigger it

<figure><img src="/files/WnefJcQgxsMhwzzJtC6Q" alt=""><figcaption></figcaption></figure>

**Action:**

* Click “Graduate Token” to launch the liquidity pool

</details>

<details>

<summary><strong>Scenario 3</strong>: Unhappy Path — Minimum Target Not Reached</summary>

* The fundraise fails
* Tokens are not minted

<figure><img src="/files/URbaO4ZOK3BTtYtX5ATQ" alt=""><figcaption></figcaption></figure>

**Action:**

* Click **“Redeem”** to reclaim pledged funds

{% hint style="warning" %}
Launch fees and transaction fees are not refundable. Only the pledged $FLOCK principal is returned.
{% endhint %}

</details>

### After Graduation

Once graduated:

* The model token becomes tradable
* Marketplace status updates to “Tradable on Deluthium”
* Clicking the token redirects users to the Deluthium swap page

{% hint style="warning" %}
Note: Deluthium is currently not available in the US
{% endhint %}

From this point forward:

<figure><img src="/files/WHkQeL6XaJHrt550aOGs" alt=""><figcaption></figcaption></figure>

* The model will be deployed on the FLock API Platform
* Inference usage drives revenue, buybacks, and rewards


---

# 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://docs.flock.io/flock-products/fomo/quickstart/fundraise-outcomes.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.