> For the complete documentation index, see [llms.txt](https://docs.data-bot.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.data-bot.xyz/services/web3-dashboards/discoveries.md).

# Discoveries

**Overview**

The AI Discoveries Dashboard aggregates real-time data to provide users with actionable insights into emerging or potentially lucrative web3 projects. By cutting through the noise, the dashboard highlights projects that are gaining traction, identifies key sentiment trends and predicts possible future movements.

{% embed url="<https://www.youtube.com/watch?v=VnTYvcslL5s>" %}

Key Features Overview

1. **Real-Time Discovery:**
   * Discover the next emerging projects through key leaders social data analysis, before it becomes mainstream.
2. **Trending Project Ranking:**
   * Keep your finger on the pulse with updates on which projects are gaining traction across different timeframes.
3. **Contract Smart Research:**
   * Our AI analyzes discoveries' latest tweets to find chain and contract information, bridging the gap between social and on-chain data..
4. **Personal Project Watchlist:**
   * Keep a close eye on projects that interest you. Our customizable watchlist ensures you never miss an update on your favorite ventures.
5. **Voting Rights:**
   * Contribute to the DataBot community by voting on discoveries. Your input helps refine our insights.
6. **Advanced Filtering:**
   * Drill down to what matters most with filters for chain, category, launch date, discovery score, follower count, and more to come.

<figure><img src="/files/XOIApgq4cZcZODRb9wKN" alt=""><figcaption></figcaption></figure>


---

# 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://docs.data-bot.xyz/services/web3-dashboards/discoveries.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.