I shipped an AI pipeline in a month that reads Reddit, HN, and X for startup ideas. The hardest part wasn't the AI.

For the last month I've been building MonetScope — a pipeline that crawls Reddit, Hacker News, and X, reads what real people are complaining about, and surfaces the complaints as scored startup opportunities. Going in, I assumed the hard part would be the AI layer. You know the story: prompt engineering, structured output, temperature tuning. That's where the demos happen and where most of the blog posts get written. It wasn't. The LLM layer landed roughly on schedule. What took real engineering