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Customer Discovery Agent

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Reddit pain-point scraper + Claude clustering with structured outputs. Find what users actually complain about. pip · MCP · MIT.

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Reddit pain-point scraper + Claude clustering with structured outputs. Find what users actually complain about. pip · MCP · MIT.

README

English | 中文

Scan online communities for maker pain points. Cluster into themes. Get a weekly digest of what your future users are actually frustrated about.

License PyPI Python Tests Sources

Built by Alex Ji — solo founder shipping VibeXForge, Orallexa, and marketing-agent. Born from this thought:

I keep guessing what indie makers actually need. Reddit knows.

What it does

customer-discovery-agent scan \
  --subreddits SaaS IndieHackers SideProject Entrepreneur \
  --hours 168 \
  --out digest.md

For each enabled subreddit, the agent:

  1. Pulls top + new posts in the last --hours window
  2. Filters by pain-pattern keywords (default: 17 phrases like "i wish", "frustrated", "is there a tool", "struggle with")
  3. Sends matches to Claude Haiku for theme clustering (3-7 clusters)
  4. Renders a markdown digest with representative quotes + sample URLs

Without ANTHROPIC_API_KEY, falls back to deterministic keyword-based clustering — still useful, just less coherent.

Sample output

# Customer Discovery Digest

*Window: last 168h · Sources: reddit*
*Pain points scanned: 47 · Clusters: 5*

## Top themes

### Founders frustrated with Vercel build minutes

**8 posts · avg score 42.5**

> $130 in build minutes this month, half from failed type-check pushes

Sample posts:
- https://reddit.com/r/SaaS/comments/...
- https://reddit.com/r/IndieHackers/comments/...

Install

git clone https://github.com/alex-jb/customer-discovery-agent.git
cd customer-discovery-agent
pip install -e .

Set Reddit credentials (PRAW script app at https://reddit.com/prefs/apps):

export REDDIT_CLIENT_ID=...
export REDDIT_CLIENT_SECRET=...
export REDDIT_USERNAME=...
export REDDIT_PASSWORD=...
export REDDIT_USER_AGENT="customer-discovery-agent/0.1 by yourname"

Optional: ANTHROPIC_API_KEY for LLM clustering.

CLI

customer-discovery-agent scan
  --subreddits SaaS IndieHackers SideProject ...   (required)
  --hours 168                                       (lookback window)
  --keywords "i wish" "frustrated" ...             (override default list)
  --min-score 5                                     (skip posts below this)
  --limit 100                                       (max posts per subreddit per stream)
  --max-clusters 7
  --out digest.md                                   (default: stdout)

Roadmap

  • v0.1 — Reddit scraper + keyword filter + Claude clustering + markdown digest
  • v0.2 — IndieHackers RSS, X timeline, 即刻 search, 知乎 question scraper
  • v0.3 — Email shipping (Resend / Mailgun), GitHub Actions weekly cron
  • v0.4 — Embedding-based semantic clustering (replaces LLM cluster call for cost)
  • v0.5 — Cross-week diffing — "this theme grew 3x this week"

Why this exists

Solo founders make two systematic mistakes about user research:

  1. Building from gut: skipping discovery → product-without-buyers
  2. Doing it manually: scrolling Reddit for hours → either burns weeks or stops happening

This agent runs as a Sunday night cron, drops a digest in your inbox Monday morning, and your guesses become literal quotes from your future users. ~$0.001 / scan in template mode, ~$0.05 / scan with LLM clustering on a busy week.

MCP server (Claude Desktop / Cursor / Zed)

Ask "scan IndieHackers for pain points this week" inline from your AI assistant.

pip install 'customer-discovery-agent[mcp]'
{
  "mcpServers": {
    "customer-discovery": {
      "command": "customer-discovery-mcp",
      "env": { "ANTHROPIC_API_KEY": "..." }
    }
  }
}

Tools: scan(subreddits, hours, …) · latest_digest(directory) · keyword_list()

License

MIT — use it, fork it, add IndieHackers and 即刻 to it.

🧩 Part of the Solo Founder OS stack

A growing collection of MIT-licensed agents that share solo-founder-os as their base — cron, eval, reflexion, AnthropicClient, HITL queue, notifiers. Each agent is independently useful; together they cover the full one-person company workflow.

🌐 The whole stack is live in production at vibexforge.com.

Agent What it does
solo-founder-os The shared base lib (cron · eval · reflexion · skill library · DGM-lite). Every other agent depends on it.
build-quality-agent Pre-push Claude diff reviewer + local build runner — catches CI-killing changes before they ship.
funnel-analytics-agent Daily founder brief + real-time PH-day alerts across 9 sources.
orallexa-marketing-agent AI marketing agent — submit project once, get platform-native posts for X / Reddit / HN / Dev.to / 小红书 + 7 more. Powers vibexforge.com.
vc-outreach-agent Cold email drafter — investors (vc mode) or paying customers (customer mode, merged from customer-outreach in v0.9.0). HITL queue + SMTP sender.
cost-audit-agent Monthly bill audit across 6 providers (Vercel / Anthropic / OpenPanel / HyperDX / Supabase / GitHub Actions) with dollar-tagged waste findings.
bilingual-content-sync-agent EN ⇄ 中文 i18n diff + Claude translate + HITL apply. Batch API path @ 50% off.
customer-support-agent Triage user messages → auto-draft replies → HITL queue. Closes the L5 customer-support layer.
payments-agent Overdue-invoice reminder drafter. Stripe-shaped types + MockProvider fallback + hard money-safety prompt rules.

Each agent's own row is omitted from its README. Install whichever solve real problems for you — pip install <agent-name>.

from github.com/alex-jb/customer-discovery-agent

Installing Customer Discovery Agent

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/alex-jb/customer-discovery-agent

FAQ

Is Customer Discovery Agent MCP free?

Yes, Customer Discovery Agent MCP is free — one-click install via Unyly at no cost.

Does Customer Discovery Agent need an API key?

No, Customer Discovery Agent runs without API keys or environment variables.

Is Customer Discovery Agent hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Customer Discovery Agent in Claude Desktop, Claude Code or Cursor?

Open Customer Discovery Agent on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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