export const prerender = true; Solana Token Launch — $10K Budget, 70/30 Split

Simulate a $10K Solana Token Launch with a 70/30 Split

A balanced 70/30 split at $10K on Solana allocates $7,000 to the pool and $3,000 to token acquisition. This configuration hits a practical sweet spot for Solana launches: the pool is deep enough to handle the rapid-fire small trades typical on Raydium and Jupiter, while the acquisition budget captures a meaningful initial position. With Solana gas costs essentially zero, the full $3,000 converts to tokens — compare this to Ethereum where gas would consume a measurable fraction of a $3,000 spend.

For educational and illustrative purposes only. Not financial or investment advice. Simulated results do not predict actual market outcomes.

Scenario Parameters

Chain

Solana

TGE Capital

$10K

Liquidity Split

70/30

Total Supply

1,000,000,000

Liquidity (L)

$7,000

Acquisition (P)

$3,000

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Key Concepts for This Scenario

Frequently Asked Questions

How does a $7,000 Solana pool handle the high transaction volume typical on Raydium?

Solana DEXes see higher transaction counts than Ethereum due to low gas costs. A $7,000 pool can handle many small trades ($10-$100) with minimal per-trade slippage. The simulator runs a configurable number of random transactions to model this high-frequency pattern and show how the pool composition shifts over many small trades versus a few large ones.

At $10K and 70/30 on Solana, what is the break-even trade size for participants?

Break-even depends on the spread between buy and sell price impact. The simulator models both sides: a participant buying $200 of tokens from a $7,000 pool experiences about 2.8% slippage on the buy. To break even after selling, the price must appreciate by more than the combined buy and sell slippage. The results panel quantifies this round-trip cost.

How does this compare to the same $10K, 70/30 configuration on Base?

The AMM math is identical — same liquidity, same slippage curves, same supply ownership. The differences are ecosystem-level: Solana attracts higher trading frequency and more bot activity, while Base benefits from Coinbase wallet integration. The simulator models the AMM identically; chain choice is a distribution decision, not a mathematical one.

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