Layer 2 scaling has solved Ethereum's congestion problem, but it's created a new one: opportunity overload.
With thousands of tokens across dozens of protocols on Arbitrum alone, the manual overhead of monitoring positions, executing trades, and managing yield strategies has become unsustainable for anyone running more than a simple buy-and-hold approach. The gap between "I should rebalance" and actually doing it costs the average DeFi participant 7–12% in missed APY annually, according to on-chain data from DeFiLlama.
The solution isn't a better dashboard. It's autonomous agents — programs that watch the chain, evaluate conditions, and execute without you hovering over a UI.
The Event-Driven Agent Model
Traditional trading bots poll an RPC endpoint on a timer. That's fine for hourly DCA, but it misses events, wastes compute, and scales poorly when you're monitoring 50+ pools.
