solo-community-outreach

# /community-outreach

Find relevant community threads (Reddit, Hacker News, ProductHunt) and draft contextual, value-first responses. NOT spam — genuine helpful answers that naturally mention the product.

## MCP Tools (use if available)

- `web_search(query, engines, include_raw_content)` — search Reddit, HN, web
- `kb_search(query)` — find related methodology
- `project_info(name)` — get project details

If MCP tools are not available, use WebSearch/WebFetch as fallback.

## Steps

1. **Parse project** from `$ARGUMENTS`.
   - Read PRD/README to understand: problem, solution, ICP, key features.
   - If empty: ask via AskUserQuestion.

2. **Extract search keywords:**
   - Problem keywords (what users complain about)
   - Solution keywords (what users search for)
   - Category keywords (the market/niche)
   - Competitor names (for "vs" and "alternative" threads)

3. **Search communities** (run searches in parallel):

   ### 3a. Reddit
   For each keyword group, search via MCP `web_search(query)` or WebSearch:
   - `"{problem} reddit"` — pain point threads
   - `"{solution category} recommendations reddit"` — recommendation requests
   - `"{competitor} alternative reddit"` — competitor frustration
   - `"{competitor} vs reddit"` — comparison threads

   For each result, extract: subreddit, title, URL, post date, comment count.
   Filter: prefer threads < 6 months old, > 5 comments (active).

   ### 3b. Hacker News
   Search via `site:news.ycombinator.com`:
   - `"Show HN: {similar product category}"` — similar launches
   - `"Ask HN: {problem domain}"` — questions in the space
   - `"{competitor name} site:news.ycombinator.com"` — competitor mentions

   Extract: title, URL, points, comment count.

   ### 3c. ProductHunt
   Search via `site:producthunt.com`:
   - `"{product category} site:producthunt.com"` — similar launches
   - `"{competitor} site:producthunt.com"` — competitor pages

   Extract: product names, launch dates, upvote counts, taglines.

   ### 3d. Oth...