For a podcast search engine, you can take two approaches. 1. Depth first approach. Position yourself as a AI company and do in-audio search, but only index a s

For a podcast search engine, you can take two approaches. 1. Depth first approach. Position yourself as a AI company and do in-audio search, but only index a small set of podcasts. It's like if Google just indexes 1000 web pages and try to refine keyword matching techniques -- too few data to improve search relevance & ranking. 2. Breadth first approach. Start something simple. Index just meta data for as many podcast & episodes as possible. It's not sexy, in terms of raising money or going to headline of TechCrunch. It's not AI (for now). Given the limited resource I have now (i.e., one person, not VC funding, 2 months fulltime work), I have to take the breadth first approach. In the future, I still have choice to do in-audio search gradually. It's like playing strategy game; it's about build order :) Ideally you do everything all at once, e.g., AI, player app, community, ... But in reality, you get to take the very first step...