export const prerender = true; Ethereum Token Launch — $100K Budget, 80/20 Split

Simulate a $100K Ethereum Token Launch with an 80/20 Split

Allocating $80,000 to pool liquidity on Ethereum creates a genuinely deep market for a new token. At this depth, the pair can absorb $4,000 trades at under 5% slippage — putting it in the range of established low-cap DeFi tokens. The conservative 80/20 split leaves $20,000 for acquisition, buying tokens at the best effective price of any split at this budget level. This is the configuration modeled by teams that view liquidity depth as a competitive moat and are willing to build their token position over time.

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

Scenario Parameters

Chain

Ethereum

TGE Capital

$100K

Liquidity Split

80/20

Total Supply

1,000,000,000

Liquidity (L)

$80,000

Acquisition (P)

$20,000

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Key Concepts for This Scenario

Frequently Asked Questions

How resilient is an $80,000 Ethereum pool to a $20,000 sell-off?

A $20,000 sell into an $80,000 pool represents 25% of liquidity. The constant product formula ensures the pool absorbs the trade but the price drops significantly. The simulator models this exact scenario and shows the resulting price decline, new market cap, and remaining pool composition.

What is the post-TGE supply ownership from $20,000 acquisition against an $80,000 Ethereum pool?

The $20,000 buy is 25% of liquidity, producing moderate price impact. The simulator calculates the exact token output and supply ownership percentage. Compared to the 60/40 split where $40,000 buys from a $60,000 pool, the 80/20 acquires fewer tokens but at a better average price per token.

At $100K and 80/20, is Ethereum mainnet or Base the better deployment?

Both chains produce identical AMM math. The decision is strategic: Ethereum mainnet offers deeper existing DeFi composability and institutional visibility, while Base offers lower gas costs that benefit participants making smaller trades. The simulator models the AMM identically for both — compare the ethereum-100k-80-20 and base scenarios to see how chain context affects your decision.

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