How I Built a 24/7 AI Growth Engine with Claude Code (No DevOps Required)

Most indie hackers treat marketing as an afterthought. I did too — until I realized I could automate the parts that don't need my creativity.

Here's the system I built in a weekend that now runs 24/7: monitors Reddit and HN for opportunities, generates tweets and blog posts on a schedule, and posts them automatically.

The Architecture

Reddit/HN Monitor (every 15 min)
        ↓
Keyword match? → Telegram alert

Content Generator (daily 15:00 KST)
        ↓
Claude API → tweets + blog draft + newsletter
        ↓
Twitter poster → X API v2
        ↓ (weekly Monday)
dev.to poster → dev.to API

All of it runs with node-cron inside the same Node.js process as my news engine. No Lambda, no queue, no Kubernetes. Just pm2 start and forget it.

The Reddit Monitor

const KEYWORDS = [
  'claude skills', 'mcp server', 'claude agent',
  'investment agent', 'trading bot ai', 'options analysis ai',
];

async function searchReddit(keyword: string): Promise<RedditPost[]> {
  for (const sub of SUBREDDITS) {
    const res = await fetch(
      `https://www.reddit.com/r/${sub}/search.json?q=${keyword}&sort=new&t=day`,
      { headers: { 'User-Agent': 'GrowthEngine/1.0' } }
    );
    // ... parse and return posts
  }
}

No Reddit API key needed. The public JSON endpoint is enough for monitoring. When a new post matches a keyword, a Telegram alert fires within 15 minutes.

Content Generation with Claude

The Claude API call is straightforward: pass recent git activity + your skills list, ask for tweets + blog draft + newsletter snippet as JSON. The key is in the prompt framing — "authentic, not salesy" and "show real experience" consistently produces content that doesn't feel AI-generated.

const response = await client.messages.create({
  model: 'claude-sonnet-4-20250514',
  max_tokens: 2000,
  messages: [{
    role: 'user',
    content: `You are a developer marketing writer...

    Generate:
    1. 3 tweets for #BuildInPublic
    2. Blog post draft (300 words)
    3. Newsletter snippet (100 words)

    Output as JSON.`
  }],
});

Posting to dev.to

dev.to's API is free and takes about 10 lines to integrate. The critical detail: always set canonical_url to your own domain to prevent SEO duplicate content penalties.

const payload = {
  article: {
    title,
    published: true,
    body_markdown: bodyWithCTA,
    tags: ['ai', 'claude', 'buildinpublic'],
    canonical_url: 'https://yourdomain.com/blog/slug',
  },
};

await fetch('https://dev.to/api/articles', {
  method: 'POST',
  headers: { 'api-key': process.env.DEVTO_API_KEY },
  body: JSON.stringify(payload),
});

What It Costs

Claude API for content generation: ~$0.10/day
X API for tweets: ~$0.015/tweet × 30 = $0.45/month
dev.to API: free
Hosting: $0 (runs alongside existing server)

Total: ~$3.50/month for a fully automated content pipeline.

What I Packaged

Running this system costs ~$3.50/month. I’ve open-sourced the free skills and bundled the full production stack into a Claude Code skills pack.

What’s in the $29 bundle:

Investment Briefing Agent — 9-wave coordinated analysis (macro, sector, technicals, news, critique, simulation)
Options Flow Analyzer — Distinguishes institutional trades from lottery calls (caught the XLI P/C 5.32 anomaly live)
Price Monitor & Alert — Real-time stop-loss/take-profit via Telegram
Multi-Agent Orchestrator — Parallel agent team with quality assurance layer
News Sentiment Engine (free) — RSS-based AI/tech briefing with sentiment scoring

All skills plug-and-play with Claude Code, Cursor, and any SKILL.md-compatible agent.

Get the AI Agent Skills Pack — $29 →

Or start free: github.com/tellmefrankie/ai-investment-skills — ⭐ the repo if it saves you time.

tags: ai, claude, buildinpublic, typescript

推荐订阅源

DEV Community