What it does
Reddit Intel transforms scattered Reddit discussions into structured, report-ready Excel files. Instead of raw data exports, it delivers actionable intelligence organized by intent, sentiment, competitors mentioned, and next steps.
Give it a keyword—like “Notion competitors” or “crypto withdrawal problems”—and get back a bilingual Excel with posts classified by user intent, sentiment analysis, competitor mentions, use case insights, and concrete action items your team can act on.
How it works
- Multi-sort collection: Runs parallel searches across relevance, hot, new, and top posts to bypass Reddit API limits and collect 600–1500 posts instead of the typical 150
- Deep classification: Analyzes each post for intent (seeking help, venting, comparing, switching), category, sentiment, and explicitly mentioned competitors
- Smart filtering: Removes noise—image-only posts, bot spam, pure promotions—to keep signal high
- Bilingual output: Automatically translates titles and summaries to Chinese while preserving original English text
- Excel formatting: Delivers color-coded sheets with frozen headers, sentiment indicators, confidence levels, and a summary dashboard with distribution charts
Use cases
- Competitor research: See which alternatives users mention alongside your market space
- User pain points: Identify what customers struggle with most
- Market monitoring: Track sentiment and conversation trends over time
- Product direction: Find feature requests and switching signals in real discussions
- Chinese team collaboration: Get English research translated and structured for internal reports
Who benefits
Product managers, UX researchers, and growth teams who need to understand market signals without reading hundreds of Reddit threads manually. Best for fast directional research and internal reporting rather than large-scale historical archives.