There’s a growing trend in TON DeFi infrastructure: some protocols are shifting from fragmented pool design to aggregated routing engines.
Instead of forcing users to pick a single source of liquidity, these systems scan multiple paths automatically and execute the swap through whichever offers the most favorable rate all while keeping execution verifiable on-chain.
This model removes two common pain points in decentralized trading:
Manual comparison fatigue (switching between platforms just to check price differences)
Execution uncertainty (hidden spreads or slippage caused by opaque routing layers)
What I find interesting is that certain platforms applying this architecture continue to process steady volume even without active incentive programs. That suggests people might be staying for efficiency, not just rewards.
Do you think liquidity aggregation will become the default standard across TON? Or will traditional pool-based systems remain relevant for niche cases?
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Rethinking Liquidity Routing Models on TON
There’s a growing trend in TON DeFi infrastructure:
some protocols are shifting from fragmented pool design to aggregated routing engines.
Instead of forcing users to pick a single source of liquidity, these systems scan multiple paths automatically and execute the swap through whichever offers the most favorable rate all while keeping execution verifiable on-chain.
This model removes two common pain points in decentralized trading:
Manual comparison fatigue (switching between platforms just to check price differences)
Execution uncertainty (hidden spreads or slippage caused by opaque routing layers)
What I find interesting is that certain platforms applying this architecture continue to process steady volume even without active incentive programs. That suggests people might be staying for efficiency, not just rewards.
Do you think liquidity aggregation will become the default standard across TON? Or will traditional pool-based systems remain relevant for niche cases?