A data processing tool that turns raw Reddit conversations into structured audience intelligence — pain points, recurring themes, and content opportunities that surveys and analytics miss entirely.
Content teams spend thousands on audience research tools that surface keyword volumes, search trends, and survey responses. But none of that captures how people actually talk about their problems when they're not being surveyed — when they're venting on Reddit at midnight, asking for help in niche subreddits, or arguing about which solution actually works.
Reddit conversations are messy, unstructured, and raw. That's exactly what makes them valuable. The language is authentic. The pain points are specific. The objections are real. But extracting signal from that noise manually takes hours, and most teams don't bother.
Unstructured audience conversations contain more actionable intelligence than structured research — if you can process them at scale.
The Reddit Insight Engine takes raw comment data from targeted subreddits and processes it into structured audience intelligence. Not summaries — actionable briefs that a content strategist can turn into a content calendar the same day.
Pull comments from specific subreddits, threads, or search queries. Filter by recency, engagement, and relevance to strip out noise before processing begins.
AI-powered analysis identifies recurring pain points, frequently mentioned solutions, emotional language patterns, and implicit needs that commenters don't state explicitly but reveal through context.
Results are organized into audience pain points, content theme clusters, competitor mentions, objections and hesitations, and specific language patterns your audience uses to describe their problems.
The Reddit Insight Engine started as a proof of concept for a specific purpose: to show a company that their audience research problem was solvable, and that I could build the solution, not just recommend one.
The prototype processed hundreds of real Reddit comments from relevant subreddits and produced structured intelligence output within a single weekend. It wasn't a mockup or a slide deck — it was a working tool processing real data.
The distinction matters. Anyone can identify a problem and suggest a tool to fix it. Building the tool over a weekend demonstrates a different kind of thinking — the kind that closes the gap between "we should do this" and "here, I already did it."
I find the signals hiding in your workflow and build the system that surfaces them. Let's talk about what's slowing you down.
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