| name | reddit-lead-gen |
| description | Reddit lead generation for your-company.com — Agentic Authority strategy.
Targets builders struggling with OpenClaw, Claude Cowork, agentic AI, and AI automation.
Positions your-company.com as the go-to implementation partner for production AI agents.
Triggered: "find leads", "lead gen", "find clients", "reddit prospecting".
|
| version | 2.0.0 |
| metadata | {"openclaw":{"requires":{"bins":"[Truncated]"},"emoji":"🎯","os":["darwin","linux"]}} |
Reddit Lead Generation v2 — "Agentic Authority" Strategy
🔒 Skill Boundary
All Reddit operations via python scripts/cli.py only.
Working directory: ~/reddit-skills/
Core Strategy: Agentic Authority Positioning
Old approach (v1): Generic "AI consulting" keywords → spray comments → hope for clicks.
Problem: Low conversion. Generic keywords attract academic discussion, not buyers. Comments lack specificity. your-company.com gets lost in noise.
New approach (v2): Position your-reddit-username as a hands-on agentic AI implementation expert — someone who has built real agents with OpenClaw, Claude Cowork, and custom frameworks. Comments demonstrate deep domain knowledge first. The pitch is implicit: "This person clearly knows what they're doing → I should check out their company."
The Funnel
Expert comment (no pitch) ──→ Profile visit ──→ your-company.com ──→ Contact
70% of comments natural curiosity trust signal lead
Key insight: The best lead-gen comments are the ones that DON'T look like lead gen. 70% of comments should be pure expertise with zero mention of your-company.com. The remaining 30% use a soft, contextual mention only when someone is explicitly looking for help/vendor.
About your-company.com
Your Company Name — [Your Location] | contact@your-company.com
Core Competencies (ordered by lead-gen relevance)
- Agentic AI Implementation — Production AI agent systems (OpenClaw, Claude Cowork skills, custom agent loops, multi-agent orchestration)
- AI Workflow Automation — End-to-end automation pipelines using LLMs (Claude, GPT, open-source models)
- Multi-Modal AI Systems — Language + vision + data integrations for enterprise
- Strategic AI Consulting — Assessment → architecture → implementation → scale
Ideal Customer Profiles (ICP)
| ICP | Signal | Comment approach |
|---|
| Indie builder stuck | "my agent keeps hallucinating / looping / failing" | Expert Assist → they check profile |
| Startup needs AI feature | "looking for someone to build our AI pipeline" | Solution Offer → direct pitch |
| Enterprise evaluating | "has anyone implemented agentic AI in production?" | Thought Leadership → credibility |
| Developer exploring tools | "OpenClaw vs LangChain?", "Claude Cowork for X?" | Expert Assist → community presence |
3-Tier Subreddit System
Tier 1 — Hot (tool-specific, high buyer intent)
Comment threshold: score ≥ 6. These are builders actively working with tools your-company.com specializes in.
| Subreddit | Why | What to demonstrate |
|---|
| r/ClaudeAI | Claude Cowork users building skills/plugins | Deep Claude API + Cowork architecture knowledge |
| r/AI_Agents | People building/deploying AI agent systems | Production agent patterns, failure modes, solutions |
| r/LangChain | Builders hitting agentic implementation walls | Chain architecture, ReAct patterns, tool integration |
| r/OpenAI | GPT-based agent builders | Function calling, assistants API, production patterns |
Tier 2 — Warm (builder communities, medium intent)
Comment threshold: score ≥ 7.
| Subreddit | Why | What to demonstrate |
|---|
| r/AutoGPT | AI agent enthusiasts, some hitting production barriers | Agent reliability, cost control, scope bounding |
| r/LocalLLaMA | Self-hosted AI, custom deployment needs | On-prem deployment, model selection, infra |
| r/MachineLearning | ML practitioners needing implementation | Applied ML, production pipelines, MLOps |
| r/ChatGPTPro | Power users building workflows | Advanced prompting, agent orchestration |
Tier 3 — Cold (business communities, discovery phase)
Comment threshold: score ≥ 8. Only engage when someone has CLEAR buying signals.
| Subreddit | Why | What to demonstrate |
|---|
| r/Entrepreneur | Business owners exploring AI | ROI framing, business case language |
| r/startups | Startups needing AI implementation | MVP-first approach, cost-efficiency |
| r/SaaS | SaaS founders wanting AI features | API integration, pricing model impact |
| r/smallbusiness | SMBs asking about AI automation | Practical automation, quick wins |
| r/indiehackers | Solo founders building AI products | Lean implementation, MLP approach |
Keyword Clusters (search in priority order)
Cluster 1 — Tool-Specific Pain Points (highest conversion)
"openclaw agent"
"claude cowork skill"
"claude cowork custom"
"AI agent not working"
"agent keeps looping"
"agent hallucinating"
"agentic AI production"
"multi agent orchestration"
Cluster 2 — Implementation Help Signals
"build AI agent for"
"need help AI implementation"
"AI workflow automation"
"automate with LLM"
"claude API integration"
"AI agent architecture"
"production AI pipeline"
Cluster 3 — Hiring/Vendor Signals (direct pitch opportunities)
"hire AI developer"
"looking for AI consultant"
"need AI engineer"
"AI development agency"
"who can build AI agent"
"AI consulting firm"
"outsource AI development"
Cluster 4 — Discovery/Evaluation (thought leadership)
"agentic AI worth it"
"AI agent real or hype"
"should I build or buy AI"
"AI implementation cost"
"enterprise AI strategy"
"AI agent framework comparison"
Post Scoring System (1–12 scale, thresholds vary by tier)
| Criteria | Points | Detection |
|---|
| Frustration/pain signal | +4 | Words: "stuck", "failing", "can't get it to", "keeps breaking", "help", "struggling" |
| Tool match (OpenClaw/Claude Cowork/agentic) | +3 | Mentions specific tools your company specializes in |
| Budget/hiring signal | +3 | Words: "hire", "budget", "pay", "consultant", "agency", "freelancer", "outsource" |
| Recency (posted < 24h) | +1 | Check post timestamp |
| Traction (5+ comments or 10+ upvotes) | +1 | Check score and comment count |
Thresholds
| Tier | Minimum score | Comment type allowed |
|---|
| Tier 1 (Hot) | 6+ | Expert Assist, Architecture Guide, Solution Offer |
| Tier 2 (Warm) | 7+ | Expert Assist, Architecture Guide |
| Tier 3 (Cold) | 8+ | Solution Offer, Thought Leadership |
4-Type Comment Strategy
Type 1 — Expert Assist (70% of comments)
When: Someone has a technical question about agentic AI, OpenClaw, Claude Cowork, or AI agents.
Goal: Demonstrate deep expertise. NO mention of your-company.com.
Why: Builds authority. Curious readers check profile → find your-company.com in bio.
Format: 1–2 lines of specific, actionable technical advice.
Tone: Senior engineer helping a peer.
Examples:
- "cap iterations to 5 and make the exit condition concrete, not just 'done'. that's why it keeps looping"
- "scope each cowork skill to one verb. 'summarize-email' not 'handle-email'. compound skills break the planning loop every time"
- "use the heartbeat for that, not chaining inside the main loop. openclaw's background scheduler handles it way cleaner"
Type 2 — Architecture Guide (20% of comments)
When: Someone is designing an AI system / choosing between approaches. Score 7–8.
Goal: Give strategic advice + soft credential. Mention your-company.com only if genuinely relevant.
Format: 2–3 lines. Architecture/design advice first. Optional: "we've found this pattern works well in production at your-company.com"
Tone: Experienced architect sharing what works.
Examples:
- "honestly start with one agent, not three. most teams over-architect this and end up debugging agent-to-agent comms instead of shipping. we learned this the hard way at your-company"
- "depends on whether your agents share state. if yes you need real orchestration, not chained API calls. if they're independent, openclaw's gateway pattern just works"
Type 3 — Solution Offer (5% of comments)
When: Someone is EXPLICITLY asking for a service provider, consultant, or developer. Score 9+.
Goal: Direct pitch. Position your-company.com as the answer.
Format: 1–2 lines. Directly address the need + your-company.com + contact.
Tone: Professional, confident, not salesy.
Examples:
- "this is exactly what we do at your-company.com. happy to chat if you want, contact@your-company.com"
- "we've built this kind of multi-agent pipeline for a couple companies. check your-company.com or shoot me a mail at contact@your-company.com"
Type 4 — Thought Leadership (5% of comments)
When: Broad discussion about AI trends, "is agentic AI real?", industry direction. Score 8+ on Tier 3 subs.
Goal: Establish credibility in the space. Optional your-company.com mention.
Format: 2–3 lines. Strong opinion backed by experience.
Tone: Industry insider with a clear point of view.
Examples:
- "agentic AI works in production but only for tight scopes. booking, data extraction, code review. the 'fully autonomous agent team' pitch is still 80% marketing tbh"
- "claude cowork and openclaw are both getting the abstraction right with skills/plugins. the real opportunity is the custom skills layer, not the framework itself"
Comment Rules (ALL types)
Anti-Detection: Sound Like a Real Dev on Reddit
The #1 rule: if it reads like ChatGPT wrote it, rewrite it.
Reddit users detect AI by: em dash overuse (—), perfect grammar, LinkedIn-style wisdom,
identical cadence across comments, and profile pattern consistency.
Writing Style (MANDATORY for all 4 types)
- No em dashes (—). This is the #1 AI tell. Use periods, commas, or "..." instead.
- No semicolons. Real redditors don't use them.
- Contractions always: "don't", "can't", "it's". Never "do not", "cannot".
- Lowercase "i" sometimes. Not always, but sprinkle it.
- Casual openers: "tbh", "yeah", "fwiw", "imo", "honestly", "nah"
- No sycophantic openers: Never "Great question!", "That's a great point!"
- No bullet points or numbered lists in comments.
- Match subreddit register: r/ClaudeAI is technical, r/indiehackers is casual, r/AI_Agents is mixed.
- 1–2 lines for Type 1 and 3. 2–3 lines for Type 2 and 4.
- ONE mention of your-company.com max (and only in Type 2/3/4)
- Never mention contact@your-company.com unless Type 3
- No links except your-company.com (and only when pitching)
Structural Variation (CRITICAL — rotate these)
Never post two comments with the same structure back-to-back:
- Blunt fix:
"cap your iterations at 5, the agent is just looping. exit condition's too vague"
- Question back + hint:
"what model are you using? had similar issues with 3.5 but switching to opus fixed it"
- Short story:
"ran into this last week. turns out the gateway was timing out before the agent could finish"
- Agree + extend:
"yeah this. also check your tool definitions, compound skills break the planning loop"
- Disagree casually:
"eh multi-agent is overkill for this. one agent with clear tool boundaries works better"
- One-liner:
"just scope each skill to one verb, not a workflow"
Updated Examples by Type
Type 1 — Expert Assist:
- ❌
"The looping is usually because your exit condition is too vague — define a concrete success check the agent can evaluate, not just 'done'. Also cap iterations to 5 as a safety net."
- ✅
"cap iterations to 5 as a safety net, then check your exit condition. 'done' is too vague, the agent needs something concrete to evaluate"
Type 2 — Architecture Guide:
- ❌
"Start with a single-agent loop, not multi-agent — most teams over-architect this. One agent with clear tool boundaries beats three agents arguing."
- ✅
"honestly start with one agent, not three. most teams over-architect this and end up debugging agent-to-agent comms instead of shipping. we learned this the hard way at your-company"
Type 3 — Solution Offer:
- ❌
"This is what we specialize in at your-company.com — building production agentic AI systems, from architecture to deployment."
- ✅
"this is exactly what we do at your-company.com. happy to chat if you want, contact@your-company.com"
Type 4 — Thought Leadership:
- ❌
"Agentic AI works in production today, but only for tightly scoped tasks — booking, data extraction, code review."
- ✅
"agentic AI works in production but only for tight scopes. booking, data extraction, code review. the 'fully autonomous agent team' pitch is still 80% marketing tbh"
Workflow
Step 1 — Tier 1 sweep (tool-specific subs)
Search Cluster 1 keywords first, then browse feeds:
cd ~/reddit-skills
python scripts/cli.py search --query "openclaw agent" --sort relevance --time week
python scripts/cli.py search --query "claude cowork skill" --sort relevance --time week
python scripts/cli.py search --query "AI agent not working" --sort relevance --time week
python scripts/cli.py subreddit-feed --subreddit ClaudeAI --sort new
python scripts/cli.py subreddit-feed --subreddit AI_Agents --sort new
Step 2 — Score and classify
For each candidate, get detail:
python scripts/cli.py get-post-detail --post-url "POST_URL"
Apply scoring rubric. Classify by comment type (1–4). Skip below threshold.
Step 3 — Draft and post (auto-mode)
- Draft comment matching the assigned type
- Post with 75–90 second gaps between comments
- Log to SQL: subreddit, title, URL, score, comment type, comment text, status
Step 4 — Tier 2 and 3 sweep
Repeat with Cluster 2–4 keywords for remaining subreddits.
Higher threshold = fewer but higher-quality comments.
Step 5 — Verify and report
Check each posted comment hasn't been removed (get-post-detail → search for your-reddit-username).
Report session summary.
Session Summary Format
═══ LEAD GEN SESSION ═══
Date: YYYY-MM-DD
Duration: X min
Posts scanned: N
Posts scored: N (above threshold)
Comments posted: N
- Type 1 (Expert Assist): N — no pitch, pure authority
- Type 2 (Architecture): N — soft mention
- Type 3 (Solution Offer): N — direct pitch
- Type 4 (Thought Leader): N — industry credibility
Removed by mods: N
Subreddits hit: list
Top lead: [best post with highest intent]
═════════════════════════
Profile Optimization (manual, do once)
For the funnel to work (Expert Assist → profile visit → your-company.com), your-reddit-username's Reddit profile must signal credibility:
- Bio: "Building production AI agents. Co-founder @ your-company.com"
- Pinned post/comment: Something showcasing deep agentic AI expertise
- Comment history: Consistent helpful comments in AI subs (karma farming supports this)
Anti-Spam Safeguards
- Max 3 comments mentioning your-company.com per session
- Max 1 comment per subreddit per session that mentions your-company.com
- Never comment on the same post twice
- Never comment on your own posts
- If a subreddit has rules against self-promotion, use Type 1 ONLY
- If a comment gets removed, stop commenting in that sub for the session
Failure Handling
- Not logged in: Run
check-login first.
- Post locked/archived: Skip, log as missed.
- Rate limited: Wait 3–5 minutes, then continue.
- Subreddit feed timeout: Try
--sort hot, then skip.
- Debugger conflict: Wait 5s and retry (transient Chrome issue).
