Social Reply Bot

AI-powered Reddit & X auto-reply bot that finds your customers and joins the conversation.

Quick Start • How It Works • Features • Screenshots • Configuration • Architecture

What is this?

Social Reply Bot searches Reddit and X/Twitter for posts relevant to your product, then uses Claude AI to generate genuine, helpful replies that naturally mention your brand. No API keys for Reddit or X required — it uses browser automation to act like a real user.

Not spam. The AI evaluates every post for relevance first. If a post isn't a good fit, it skips it. When it does reply, it sounds like an experienced practitioner sharing real insight — because that's what the prompt engineers it to be.

Currently configured for two products:

• Solvea — AI customer service agent for Amazon/Shopify sellers
• VOC.ai — Amazon review intelligence and sentiment analysis

But it's fully configurable for any product/niche via config.json.

Features

How It Works

Keyword Search (Reddit subreddits + X queries)
       ↓
Two-Layer Relevance Filter
  ├─ Layer 1: Keyword match (zero API cost)
  └─ Layer 2: Claude AI judges if post is worth replying to
       ↓
Claude generates reply as "experienced seller sharing real insight"
       ↓
Browser automation posts the reply
       ↓
SQLite logs it → Dashboard displays it → Lead scored

The core principle: Every reply must provide genuine value. The AI is prompted as a "seller with 5 years of experience" who naturally mentions tools they use — not as a marketer pushing a product. Posts that don't fit get skipped, not force-fitted.

Screenshots

Dashboard — Real-time Daily Progress

The web dashboard tracks daily X posts, Reddit comments, product mentions, and historical totals.

X/Twitter — Targeted Competitive Replies

The bot found a competitor's tweet about customer support automation and replied with a genuine insight that naturally positioned Solvea as an alternative. No "Great product!" fluff — real technical substance.

Reddit — High-Quality Community Comments

On r/ecommerce, a user discussed WooCommerce chatbot inventory sync issues. The bot shared specific technical experience (event-triggered vs. scheduled sync), earning genuine upvotes and discussion.

Quick Start

Option 1: One-Line Install

curl -fsSL https://raw.githubusercontent.com/mguozhen/social-bot/main/install.sh | bash

This will:

1. Clone the repo to ~/social-bot
2. Install Python dependencies (anthropic, flask)
3. Check for browse CLI
4. Guide you through .env setup
5. Initialize SQLite database
6. Register macOS LaunchAgent (daily 10:05 AM)

Option 2: Manual Setup

git clone https://github.com/mguozhen/social-bot.git ~/social-bot
cd ~/social-bot
pip3 install -r requirements.txt
cp .env.template .env
# Edit .env with your ANTHROPIC_API_KEY

Prerequisites

No Reddit API key or Twitter API key required. The bot uses browser sessions, not platform APIs.

Commands

As Claude Code Skill

Once installed as a skill, just tell Claude:

social reply bot                  # run both platforms
social reply bot x only           # X/Twitter only
social reply bot reddit only      # Reddit only
social reply bot warmup           # build Reddit karma (8 comments)
social reply bot warmup 15        # warmup with custom target
social reply bot leads            # show potential customers found
social reply bot stats            # today's stats
social reply bot dashboard        # open web dashboard

As Standalone Script

python3 run_daily.py              # run both platforms
python3 run_daily.py --x-only     # X only
python3 run_daily.py --reddit-only # Reddit only
python3 warmup_reddit.py          # karma building mode

Configuration

Edit config.json to customize for your product:

{
  "x": {
    "username": "@YourAccount",
    "daily_target": 20,
    "min_delay_seconds": 300,
    "search_queries": [
      "your product keyword 1",
      "your product keyword 2"
    ]
  },
  "reddit": {
    "username": "your_reddit_user",
    "daily_target": 10,
    "min_delay_seconds": 600,
    "subreddits": ["YourTargetSubreddit", "AnotherOne"]
  },
  "products": {
    "YourProduct": {
      "description": "What your product does (AI uses this to craft mentions)",
      "trigger_keywords": ["keyword1", "keyword2"]
    }
  },
  "reply_style": {
    "tone": "knowledgeable practitioner sharing experience",
    "max_length_x": 260,
    "max_length_reddit": 400,
    "rules": [
      "Lead with genuine insight about the post",
      "Mention product as 'what we use/built' — not as an ad",
      "Skip if not relevant — never force a mention"
    ]
  }
}

Environment Variables

Architecture

social-bot/
├── bot/
│   ├── ai_engine.py        # Claude AI: relevance filter + reply generation
│   ├── browser.py           # Browser automation via browse CLI
│   ├── db.py                # SQLite: dedup, history, lead scoring
│   ├── reddit_bot.py        # Reddit: search subreddits, post comments
│   └── x_bot.py             # X/Twitter: search queries, post replies
├── dashboard/
│   ├── app.py               # Flask web dashboard
│   └── templates/           # Dashboard HTML
├── docs/
│   ├── screenshot_dashboard.png
│   ├── screenshot_reddit_reply.png
│   └── screenshot_x_reply.png
├── launchd/                 # macOS LaunchAgent plist
├── config.json              # Platform targets, keywords, products
├── run_daily.py             # Main entry point (scheduled daily)
├── warmup_reddit.py         # Reddit karma builder
├── install.sh               # One-line installer
├── setup.sh                 # Manual setup helper
├── SKILL.md                 # Claude Code / Agent Skills definition
└── .env.template            # Credential template

Two-Layer Filtering

# Layer 1: Fast keyword match (zero API cost)
def detect_product(text: str) -> Optional[str]:
    # Returns matching product name or None

# Layer 2: Claude AI relevance check
# If Layer 1 matches, Claude decides:
#   - Is this post genuinely relevant?
#   - Can we add real value with a reply?
#   - SKIP if forcing a mention would feel unnatural

Rate Limiting & Safety

Reddit Warmup

New Reddit accounts need karma before posting in restricted subreddits. The warmup mode:

• Visits safe, low-moderation subreddits (r/karma, r/CasualConversation, r/self)
• Claude Haiku generates authentic short comments (no product mentions)
• 90-180 second natural delays between posts
• Default: 8 comments per session, configurable

python3 warmup_reddit.py          # default 8 comments
python3 warmup_reddit.py --target 15  # custom target

Expected Results

With default settings (X: 20/day, Reddit: 10/day):

This isn't viral growth — it's consistent, targeted brand presence in conversations where your product is genuinely relevant.

Known Limitations

FAQ

This tool uses browser automation (not API abuse) and generates unique, contextually relevant responses (not spam). However, automated posting always carries platform risk. Use responsibly, keep daily volumes reasonable, and ensure your replies genuinely add value to conversations.

Edit the products section in config.json. Add your product name, description (used by Claude to craft natural mentions), and trigger keywords. Then update search_queries and subreddits to target where your audience hangs out.

Yes. run_daily.py is a standalone script. You just need Python 3.9+, the browse CLI, and an Anthropic API key. The Claude Code skill integration is optional.

About $0.01 per reply (Claude API). At 30 replies/day, that's roughly $9/month. Browser automation is free — no Reddit or X API fees.

Contributing

PRs welcome. Please test your changes with both platforms before submitting.

License

MIT

Built with Claude AI • Browser automation via browse CLI