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What operational processes took the most iteration to get right in your early stages?
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Looking to understand the evolution of operational processes in early-stage startups. Specifically interested in hearing about which processes you initially thought would be simple but required multiple iterations to optimize. What were the key lessons learned about setting up scalable operations? Did you find any unexpected bottlenecks in seemingly straightforward processes? Would love to hear about both technical and non-technical aspects, and how your approach to operations evolved as you scaled.
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