How to extract insights from 1000+ Reddit comments in seconds
Turn messy Reddit threads into structured data for AI analysis.
UPDATE (1/19/2025)
Since the release of this guide, NotebookLM has gotten much better at accepting URL sources. Previously, many of the URLs for the Reddit threads/pages would be rejected, but this shouldn’t be the case now. Feel free to skip over the JSON step in this guide and just copy/paste the Reddit url as the source in NotebookLM for even more efficiency.
Last week, while diving into the community's reaction to OpenAI's announcements, I found myself drowning in Reddit threads. You know the ones - 200+ comments deep, filled with developer insights, user experiences, and technical discussions that could make or break your understanding of what's really happening in AI.
I used to spend hours manually combing through these threads, copying interesting comments into a doc, trying to piece together the community's real sentiment. It was like trying to drink from a firehose of information.
Then I discovered something that changed everything.
It wasn't an expensive tool or complex API. It was literally adding four characters to a URL. Four characters that transformed how I analyze community insights and gave me a superpower for understanding AI trends.
In this guide, I'll show you exactly how I:
Extract insights from massive Reddit threads in minutes instead of hours
Transform messy comments into structured data that AI can analyze
Pull out key community sentiments with surprising accuracy
Back up my analysis with specific comments and trends
(Video guide included below)
But first, let's talk about why this matters so much.
