From Liquidity Layer to Execution Engine: How Omniston Scaled

Building a swap DApp is relatively straightforward, but running it under real market conditions—with bots, arbitrageurs and volatile liquidity—is not. At Consensus Hong Kong, Andrey Fedorov, CMO & CBDO at STON.fi, described how STON.fi launched as an AMM on TON and later built Omniston to aggregate liquidity across fragmented DEXs.

Aggregation worked, yet scale exposed new constraints. Fedorov outlined three lessons from production. Rapid user growth overwhelmed both front and back ends. Multi-hop swaps that passed testing revealed edge cases in the wild: simultaneous transactions and shifting liquidity could let a first hop succeed while a second failed.

And the ecosystem’s complexity grew beyond the initial model as arbitrageurs and bots entered, forcing iterative fixes rather than perfect upfront design. STON.fi now accounts for 80 to 90 percent of DEX activity on TON, though planned cross-chain swaps will bring fresh challenges.

ston.fi, omniston, amm, ton, dex, liquidity aggregation, multi-hop swaps, arbitrageurs, bots, cross-chain swaps