Parker's contrarian take on the "focus myth" is refreshing and well-supported by Rippling's success. Would agree that the compound startup approach seems particularly relevant now as AI enables more seamless integrations across previously siloed systems - huge value unlock with the underlying data.
I'm curious though - is there a threshold where the compound model starts breaking down? Is there a point where adding the n+1 product actually diminishes rather than enhances the overall platform value, either through added complexity or dilution of the core value proposition?
Parker's contrarian take on the "focus myth" is refreshing and well-supported by Rippling's success. Would agree that the compound startup approach seems particularly relevant now as AI enables more seamless integrations across previously siloed systems - huge value unlock with the underlying data.
I'm curious though - is there a threshold where the compound model starts breaking down? Is there a point where adding the n+1 product actually diminishes rather than enhances the overall platform value, either through added complexity or dilution of the core value proposition?