Reddit competitive intelligence for any product. Discovers keywords, finds relevant communities, searches for posts with pain points, and analyzes comments to extract competitor mentions, real user language, and unmet needs. Runs 4 incremental steps: expand-keywords / expand-subreddits / find-posts / analyze-comments. Also: init (first-time setup). Each run: read JSONL → search → dedup-append → re-render Markdown. Requires: Exa MCP server for Reddit search. Usage: /reddit-intel step-name
Analyze Reddit comment sections for competitive intelligence. Extracts competitor mentions, real user language (copy material), and unmet needs from active posts. Part of reddit-intel. Requires .reddit-intel.json (run /reddit-intel-init first).
Find Reddit posts with pain points matching your product. Searches tier 1/2 subreddits using keywords, classifies by pain category, maps to product solutions. Part of reddit-intel. Requires .reddit-intel.json (run /reddit-intel-init first).
Initialize reddit-intel for your project. Creates config file (.reddit-intel.json), data directory, and product-context template. First-time setup — run once per project.
Expand Reddit marketing keywords. Discovers how users describe pain points in your product domain. Searches Reddit via Exa, finds synonyms, long-tail variants, and real user language. Part of reddit-intel. Requires .reddit-intel.json (run /reddit-intel-init first).
Discover relevant Reddit communities for your product. Finds subreddits where target users discuss pain points, rates them by tier (1-4), and tracks promo policies. Part of reddit-intel. Requires .reddit-intel.json (run /reddit-intel-init first).