Configure and monitor multiple subreddits with keyword filters, competitor names, and product category terms. Real-time ingestion of new posts and comments matching tracked criteria.

LLM-powered engine that categorizes Reddit threads into pain points, feature requests, competitor mentions, praise, and complaints. Each insight includes a confidence score and source link.

Visual dashboard showing trending topics, sentiment over time, and top pain points clustered by theme. Filterable by subreddit, time range, and category.

Each insight generates a shareable card with the original Reddit quotes, thread context, upvote counts, and AI-generated summary suitable for stakeholder presentations.

Configurable real-time alerts to Slack channels when high-signal threads are detected, such as viral complaints, competitor mentions, or feature requests above a threshold.

One-click export of validated insights as user stories or feedback items directly into Jira, Linear, or Productboard with source attribution and sentiment data.

Dedicated view tracking how competitors are discussed across Reddit, including sentiment trends, common complaints, and feature gaps users mention.

Auto-generated weekly email summarizing the top insights, emerging trends, and notable threads across all tracked subreddits, formatted for forwarding to leadership.

Analyze up to 12 months of historical Reddit data for a subreddit to identify long-term trends and recurring themes before real-time monitoring begins.