AI-Powered Reddit Lead Generation
Human-in-the-loop system for discovering leads and drafting authentic responses on Reddit.
Key Results
The Problem
Reddit is a goldmine for B2B leads — people actively asking for solutions, seeking recommendations, sharing pain points. But manually monitoring dozens of subreddits for relevant posts is time-consuming and inconsistent.
Most automation tools either:
- Spam generic responses — gets you banned
- Miss Reddit culture nuance — comes across as marketing
- Require constant monitoring — doesn't scale
The Solution
Automated discovery and drafting with human control over final output.
Scanning — monitors configured subreddits for posts matching keywords, runs 2x daily via cron.
Classification — Claude Haiku categorizes intent: hot_lead, question, partnership, noise. Fast and cheap for high-volume filtering.
Draft generation — Claude Opus generates contextual responses in the user's voice. Quality matters for authentic engagement.
Approval flow — sends to Slack/Telegram with interactive buttons (Post / Edit / Skip).
Posting — only after human approval, respecting Reddit rate limits.
Tracking — monitors inbox for replies to posted comments, surfaces ongoing conversations.
Key Features
Intent classification — filters noise, surfaces high-intent leads where someone is actively looking for solutions.
Voice matching — AI learns your tone from context documents. Responses sound like you, not a marketing bot.
Subreddit adaptation — different styles for different communities. What works in r/startups doesn't work in r/devops.
Human mode — bypasses AI detection on strict subreddits that actively filter AI-generated content.
Multi-channel notifications — Slack (interactive), Telegram, Email — pick your workflow.
Technical Architecture
| Component | Technology | Why |
|---|---|---|
| Reddit API | PRAW | Robust Python wrapper |
| Classification | Claude Haiku | Fast, cheap for categorization |
| Response | Claude Opus | Highest quality for engagement |
| Storage | SQLite | Zero infrastructure, works anywhere |
| Notifications | Slack Bolt, Telegram | Socket mode, no public endpoints |
SQLite over PostgreSQL — zero infrastructure, works on any machine, git-syncable for backup.
Haiku for classification — 10x cheaper than Opus, sufficient for categorization tasks.
Opus for responses — quality matters when you're trying to build real relationships.
Configuration Philosophy
Everything is configurable without code changes:
- keywords.yaml — what to search, where, priority levels
- company.yaml — company context for AI understanding
- system_prompt.yaml — voice, tone, subreddit-specific adjustments
- context.md — personal background for authentic persona
- services.md — detailed offerings for AI to reference
Lessons Learned
Reddit hates marketing — genuine helpfulness converts better than pitches. The best responses answer the question first, mention your product only if truly relevant.
Context is everything — better context documents = better AI responses. Invest time in writing good examples of your voice.
Human mode exists for a reason — some subreddits actively detect AI content. Know when to write manually.
Notification-before-save — if notification fails, don't mark as processed. Otherwise you lose leads silently.
Results
- Response time — from days to hours (catch leads while they're hot)
- Quality — AI drafts need minimal editing when context is good
- Compliance — human approval prevents spam, maintains authenticity
- Scale — one person can effectively monitor 20+ subreddits
Open source on GitHub. Used internally and available as reference for our Automation consulting.