I See Fogo’s Client Optimization Thesis as Incentive Design, Not Just Hard Rules
I think this is one of Fogo’s smartest ideas. Instead of pretending every validator setup will perform the same, Fogo openly designs for performance by curating the validator set and using social-layer enforcement to remove behavior that hurts network quality. Its architecture docs explicitly frame this around maintaining standards, reducing harmful MEV behavior, and preventing underpowered nodes from dragging down the chain.
That matters because client optimization is not only a software problem. A fast client can still produce a slow network if incentives reward bad behavior or tolerate weak operators. Fogo’s approach is basically this: align validator economics and membership with execution quality, then let the high-performance client actually show its edge. The tradeoff is governance risk, so transparency in enforcement becomes part of the product.
Do you agree with me? @Fogo Official #FOGO #fogo $FOGO @fogo
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