Reddit-to-Revenue Miner

About (Description)

Most founders guess what to build. They browse Reddit, skim a few threads, maybe screenshot some complaints, and call it "market research." Then they spend months building something nobody pays for.

Reddit-to-Revenue Miner turns Reddit into a structured product intelligence pipeline. One command scrapes complaint threads, extracts every comment, and sends the raw data to Claude AI — which scores pain points, pulls exact user quotes, maps the competitive landscape, and writes a complete Product Opportunity Report you can act on today.

This isn't a prompt template. It's a production-hardened Python pipeline built from real operations — the same tool used to generate reports that identified validated $2.5K-$10K MRR opportunities across dozens of niches.

What you get:

• SKILL.md — Full skill definition with installation, usage, and 10 high-value subreddits to mine
• reddit_to_revenue.py — Complete Python pipeline: scrape, analyze, report
• requirements.txt — All dependencies declared
• Sample report — Real output so you can see exactly what you're getting before you run it
• Three output formats per run: raw JSON data, Markdown report, and a styled HTML report you can Cmd+P to PDF

What makes this different:

• Data-driven, not vibes. Pain points are scored by mentions, intensity, and willingness to pay. Every quote in the report is real, with upvote counts.
• Complete reports, not raw data. Each run produces a polished Product Opportunity Report with executive summary, pain point scorecard, voice of the customer, competitive landscape, MVP spec, and launch playbook.
• White-label ready. Use --brand "Your Company" to put your name on every report. Generate reports for clients, sell them on Gumroad, or use them internally.
• Re-analyzable. Scrape once, analyze many times. The --from-file flag lets you re-run analysis on saved data with different models — no wasted API calls.
• Hardened for real use. Retry logic on rate limits, input validation, XSS-safe HTML output, progress indicators, and clear error messages. Not a script that crashes on the first edge case.

How it works:

1. Run the command with a subreddit and complaint query
2. The script scrapes threads and extracts all comments via Reddit's public API
3. Claude AI analyzes the data and writes a scored Product Opportunity Report
4. Three files land in your output folder: raw JSON, Markdown, and print-ready HTML

Who this is for:

• Indie hackers looking for their next validated SaaS idea
• Product researchers who want structured pain point analysis
• Agency operators who sell market research reports
• Technical founders who can build but struggle to find what to build

Estimated API cost: ~$0.02-0.15 per run depending on thread count. Use --no-ai to scrape free, then selectively analyze.

Designed for Claude Code. Requires Python 3.10+ and an Anthropic API key.

---

Changelog (v1.0.0)

Initial release:

• Full Reddit scraping pipeline with retry logic
• Claude AI analysis with scored pain point reports
• Three output formats (JSON, Markdown, styled HTML)
• White-label branding via --brand flag
• Re-analysis from saved data via --from-file
• Configurable model selection via --model
• Sample report included