Jupiter LFG Curve Modelling

Jupiter is building a new way of organically launching projects and tokens. Part of this platform is a Meteora's DLMM Pool pools to provide single-sided liquidity in a way that builds early backstop liquidity and also allows bootstrap organic liquidity. At the end of the launch period, liquidity transitions from this DLMM pool into organic liquidity across venues.

This site allows you to play around with various inputs and understand how they influence token launching and bootstrapping. All the following parameters affect the price curve, liquidity distribution, and DLMM pools differently. In order to design a liquidity curve that achieves your desired outcome of bootstrapping a new project organically, play around with the input parameters to generate different curves and understand the trade-offs of every decision. Observe how changing the inputs changes the DLMM pool and the value in each bin.

Play around with the input parameters to generate different curves and understand the trade-offs of every decision.Observe how changing the inputs changes the DLMM pool and the value in each bin.

These input parameters can then be used to generate a Meteora DLMM Pool to precisely deploy liquidity and to achieve the desired outcome of bootstrapping a new project organically. Observe how changing the inputs changes the DLMM Pool and the value in each bin.

Input Parameters

Supply Details

Initial FDV: Million USDC

Final FDV: Million USDC

Max USDC Secured: Million USDC

Price Curve

Illustrates how the price of the token changes over time as tokens are withdrawn from the pool.

Liquidity Distribution

Illustrates how much liquidity is available at each price point.

DLMM Bins

Illustrates what the end result in Meteora DLMM bins.

Numbers shown are for illustration purposes and may deviate.

Learn more about Meteora's DLMM pools here

Tokens Table

Shows the relation between the amount of USDC present in the liquidity pool as more tokens are withdrawn by buyers.

Price Table

Shows the relation between the amount of USDC present in the liquidity pool at various price levels.