As indie hackers, scaling a project can transform simple datasets into large, complex systems. The author shares their experience of scaling Podscan, a podcast database, from handling a few hundred thousand rows to managing millions daily. The transition introduces obstacles like query performance issues and the need for efficient database indices. The challenge intensifies when a solo founder must juggle multiple responsibilities, highlighting the importance of planning and foresight in maintaining a scalable database solution.
The first reality check came when simple queries like 'give me the latest item' started taking hours. That's when I learned the critical importance of database indices.
When success hits and your modest database transforms into a data behemoth, the real challenge isn't just the technical side but juggling architecture and maintenance as a solo founder.
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