reddit-lead-gen

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":["python3"]},"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/

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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.

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About your-company.com

Your Company Name — [Your Location] | [e-mail]

Core Competencies (ordered by lead-gen relevance)

1. Agentic AI Implementation — Production AI agent systems (OpenClaw, Claude Cowork skills, custom agent loops, multi-agent orchestration)
2. AI Workflow Automation — End-to-end automation pipelines using LLMs (Claude, GPT, open-source models)
3. Multi-Modal AI Systems — Language + vision + data integrations for enterprise
4. 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

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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

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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"

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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

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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, [e-mail]"
• "we've built this kind of multi-agent pipeline for a couple companies. check your-company.com or shoot me a mail at [e-mail]"

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"

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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 [e-mail] 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:

1. Blunt fix: "cap your iterations at 5, the agent is just looping. exit condition's too vague"
2. Question back + hint: "what model are you using? had similar issues with 3.5 but switching to opus fixed it"
3. Short story: "ran into this last week. turns out the gateway was timing out before the agent could finish"
4. Agree + extend: "yeah this. also check your tool definitions, compound skills break the planning loop"
5. Disagree casually: "eh multi-agent is overkill for this. one agent with clear tool boundaries works better"
6. 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, [e-mail]"

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"

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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.

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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]
═════════════════════════

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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)

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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

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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).