# Ranger Build-A-Bear Hackathon

This page is the submission hub for Dawn Vault's Ranger Build-A-Bear Hackathon entry. It gathers the key materials judges need to review the strategy, implementation, and live build progress in one place.

## Dawn Vault in One Paragraph

Dawn Vault is a validator-native yield strategy being developed for Ranger Earn. The current implementation focuses on strategy logic, risk management, and backtest tooling, with future on-chain deployment planned to integrate Ranger's vault framework and protocol adapters. Instead of relying on a single DeFi primitive, it combines a stable **Base Layer** (Kamino Multiply + lending) with a conditional **Alpha Layer** (SOL delta-neutral with dawnSOL staking) so the vault can pursue higher yield without depending on directional SOL exposure.

## Submission Materials

### 🎥 Demo / Pitch Video (max 3 min)

**Link:** <https://youtu.be/DzEyZj0fc5g>

### 📄 Strategy Documentation

* [Overview](/dawn-vault/overview.md)
* [USDC Vault](/dawn-vault/usdc-vault.md)
* [Backtest](/dawn-vault/backtest.md)
* [AI Support](/dawn-vault/ai-support.md)
* [Risk & Security](/dawn-vault/risk-and-security.md)
* [Transparency](/dawn-vault/transparency.md)

### 📊 Live Dashboard

**Link:** [Dawn Vault Dashboard](https://frontend-sand-six-69.vercel.app/)

### 💻 Code Repository

**Link:** [DawnLabsTech/vault](https://github.com/DawnLabsTech/vault)

### 🔗 On-chain Verification

**Wallet / Vault Address:** `3S1kvQuLYLisn8KxHNiCoqTgtZNJQAxJi4oyGLxeeYVT`

* [View on Solscan](https://solscan.io/account/3S1kvQuLYLisn8KxHNiCoqTgtZNJQAxJi4oyGLxeeYVT)

## Judging Criteria

### Strategy Quality & Edge

* Validator infrastructure is part of the yield stack, creating a source of edge that pure aggregators do not have
* The vault combines stable base carry with conditional alpha instead of forcing one strategy across all market regimes
* The delta-neutral layer targets funding rate income while keeping net directional SOL exposure near zero

### Risk Management

* Multiply allocation is gated by a dedicated risk scorer covering depeg risk, liquidation proximity, exit liquidity, and reserve pressure
* Lending exposure is diversified and monitored with protocol-level circuit breakers
* The delta-neutral layer uses explicit entry, exit, and emergency exit thresholds based on funding conditions

### Technical Implementation

* The current implementation centers on strategy logic, backtest tooling, monitoring, and production-oriented operational controls
* The operator stack includes AI Advisor and Vault AI Chat for read-only monitoring, explanation, and support workflows
* This submission validates the allocation logic, risk controls, and execution design before vault-framework integration
* Ranger vault framework integration and protocol adapters are planned as the next step toward production deployment

### Production Viability

* The strategy is designed around existing Solana liquidity venues and operationally realistic execution paths
* The base layer can continue to earn while the alpha layer is inactive, which supports more stable deployment behavior
* Capacity, monitoring, and operational safeguards are considered from the beginning rather than treated as future work

### Novelty & Innovation

* The submission connects validator economics, LST yield, DeFi carry, and automated vault logic into one product
* It adds an AI support layer for operator-facing recommendations, vault-state interpretation, and scenario analysis without execution authority
* It frames the vault as infrastructure-first yield, not just APY routing
* The Yield Smoothing Reserve concept extends validator revenue into yield stabilization for depositors


---

# 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.dawnlabs.tech/dawn-vault/ranger-build-a-bear-hackathon.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.
