# | Key Features

<figure><img src="/files/ul43nCpXBGTHJcV15Vr5" alt=""><figcaption></figcaption></figure>

**1. Price Discovery:** LBPs utilize a precise price decay curve for token pricing. The initial token price, intentionally set high, reduces over time following a preset curve. This decay is offset by buy-in from LBP participants, yielding a mechanism where the token price naturally adapts, mirroring market demand and supply.

**2. Open Participation:** Contrasting with conventional launch models that might employ whitelists or caps, LBPs promote a comprehensive and inclusive strategy. They impose no allocation limits, allowing participants to decide their buy-in or sell-out level in the LBP, which enhances flexibility and democratizes token distribution.

**3. Equitable Distribution:** The LBP methodology transforms token distribution by negating early transaction or high gas fee advantages. This approach ensures a balanced playing field, preventing dominance by bots or large stakeholders. LBPs focus on fair distribution, enabling a wide participant base to obtain tokens at an equitable rate.

**4. Capital Efficacy:** LBPs elevate capital efficiency by enabling the initial token price to be significantly amplified (up to 99 times) compared to the collateral provided. Such amplification may spur liquidity and trading, engendering a more vibrant market. Moreover, collateral can be wholly retrieved post-LBP, ensuring resourceful use of assets.

LBPs represent a noteworthy progression in decentralized finance (DeFi), providing a refined, community-focused approach to token launches and ownership distribution. With a foundation in transparency, fairness, and open participation, LBPs forge a pathway for a democratic token distribution future, sustaining an ecosystem where both project developers and backers prosper.


---

# 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://aurora-foundation.gitbook.io/aurora-foundation/1.-introduction/or-key-features.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.
