How to Build an AI Content Research Engine: a Claude + Reddit Case Study
TL;DR For most solo builders and small teams, content research is the bottleneck, not writing. A weekly Collect → Cluster → Score → Synthesize pipeline turns real customer conversations into a ranked list of topics you can scan over coffee. The pattern works for any niche where your audience talks publicly somewhere: Reddit, Indie Hackers, niche Discords, forums. The scoring prompt is where most of the leverage lives. Treat it as a markdown file you keep rewriting until its top three match the ones you’d pick by hand. As I was building out Storkly, I was pretty confident in getting us up and running to an MVP/Soft Launch phase. I had enough experience with software and web development and while there was (and still is) a lot to learn, getting from zero to one wasn’t my primary worry. It was, “how do I drive people to this product?”. I knew we needed to create content to get the word out there but I always found myself frozen at what to write about and _what to post about. ...