Working in blockchain consulting, I’ve noticed many Ethereum-based projects still underestimate how scaling decisions impact long-term costs. Clients assume L2s will fully solve gas issues, but data availability, bridging complexity, and liquidity fragmentation often get overlooked.
When designing systems, it becomes tricky balancing user experience with decentralization trade-offs, especially for financial applications. Even small architectural decisions can significantly affect transaction costs and protocol adoption later.
Has anyone here built a reliable framework for evaluating Ethereum scaling strategies across different use cases?
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