Build a nightly AI research loop with Claude Code that beats a $15k agency
aryanXmahajan · x · 2026-10-25
The author shares a fully automated competitive-intelligence pipeline running nightly on his Mac, claiming it beats a $15k agency:
- Scraping: background Apify actors run at 2am, pulling the top 50 viral posts in his niche from X and TikTok, newest ads from Meta Ad Library, and Reddit threads where buyers complain about competitor tools
- Extraction: Firecrawl or Jina converts URLs into clean markdown, stored as local files — no bloated databases or SaaS dashboards
- Synthesis: Claude Code in the terminal analyzes hooks, angles, and exact buyer phrasing, flags fatigued angles everyone repeats, and spots unanswered buyer questions
- Output: by morning he gets 3 fresh content angles backed by real view counts and 5 competitor weaknesses to attack
His takeaway: most people use AI as a browser chat window; giving an agent terminal access, scrapers, and a local folder is where the real money is.
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