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Sinks

Sinks are the utility mechanisms that pull tokens out of circulation. Flow sinks create recurring buy pressure, such as a fee paid in the token or a per-transaction burn. Stock sinks create persistent lockup, such as staking for access or posting collateral. Every faucet must be matched to a sink that can absorb it.

The sink-to-faucet ratio is the single most important number in a token's ongoing model. It tells you whether the system is net-deflationary, net-inflationary, or in equilibrium at today's usage.

Token sinks — mechanisms that remove or lock circulating supplyToken PoolBootstrap rewardsLiquidity incentivesAirdrop releasesService paymentBurn mechanismGovernance lockSOURCESSINKS

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Sinks are mechanisms that remove tokens from circulation: fees paid in-token, burns, locks, or protocol buy-backs. Strong sinks make emissions tolerable.

How it works

Flow sinks and stock sinks behave differently under stress. A flow sink depends on continued activity, so if usage falls, burn volume falls, and the sink weakens exactly when vesting-driven sell pressure keeps coming. A stock sink depends on holding conviction, so if price falls hard, stakers may exit, liquidating the lockup and adding sell pressure at the worst moment.

Neither sink is fire-and-forget. Both need condition monitoring once live.

Common mistake

A governance token with no fee routing and no required lockup for any product function has no sink. Governance voting is a notional sink at best, because it does not remove tokens from the tradable float with any reliability. Teams often discover this only when they audit circulating supply and find holders have no reason to hold rather than sell.

Design consequence

A system that is net-inflationary at current usage needs growth just to hold price steady, which is an unhedged bet on continued expansion. Sink design is the part of tokenomics most often skipped early, because it requires committing to a specific mechanism before the product is built. It must be designed in, not bolted on. A sink added after launch that fights existing user behavior is rarely adopted with enough depth to matter.

See Tokenomics Design Services for how this applies in practice.

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