# Manager Leaderboard

The Manager Leaderboard is a public ranking of all fund managers on the Alvara platform. It provides a transparent, data-driven way for investors to evaluate and compare managers.

## Ranking Criteria

Managers are ranked based on a combination of:

* **Total AUM:** Combined TVL across all BSKTs they manage
* **Performance:** Weighted average returns across their baskets
* **Number of BSKTs:** How many baskets the manager operates
* **Best performer:** Their top-performing BSKT

## Manager Profile

Each manager has a public profile page showing:

* **Wallet address** with optional ENS name
* **Verified identity:** Linked X (Twitter) profile and Gitcoin Passport score
* **All managed BSKTs** with individual performance data
* **Aggregate statistics:** Total AUM, average performance, creation history
* **Activity feed:** Recent management actions across all baskets

## Identity Verification

Managers can optionally verify their identity through:

### X (Twitter) Verification

Link your X account via OAuth to display your social identity alongside your wallet address. This helps investors identify who is behind a BSKT.

### Gitcoin Passport

Connect your Gitcoin Passport to display a humanity score. Higher scores earn tiered badges:

| Score | Badge  |
| ----- | ------ |
| 15+   | Bronze |
| 25+   | Silver |
| 35+   | Gold   |

These verification methods are optional but recommended. Verified managers tend to attract more investor confidence.

## Why the Leaderboard Matters

The leaderboard creates a meritocratic environment where:

* Good managers rise to the top based on real performance data
* Investors can make informed decisions about where to deploy capital
* Track records are permanent and on-chain. They cannot be fabricated
* Gauge weight voters can identify high-performing BSKTs to direct ALVA rewards toward


---

# 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.alvara.xyz/fund-managers/leaderboard.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.