Multiple autonomous pipelines running 24/7 — scraping, acquiring, and organizing data without human intervention.
Scrapes spread data, trade history, and market conditions across multiple brokers for strategy optimization. Feeds into the trading fleet's backtesting pipeline. Runs on cron schedules to build historical datasets.
Built with OpenClaw — a fully autonomous system that generates thousands of usernames, searches for availability on MoltBook, acquires available ones, and updates a SQLite database. The entire pipeline runs without human intervention from generation to acquisition to database update.
Scans Twitter daily for AI-related opportunities — competitions, challenges, grants, job postings — and stores findings in a structured database for review. This system directly led to discovering and entering an AI-only coding challenge to build HeyAgent. Also built with OpenClaw.
The biggest lesson from these systems is the power of compound automation — each pipeline is simple individually, but together they create an intelligence network. The MoltBook acquirer was my first fully autonomous OpenClaw system, which taught me how to design tasks that AI agents can execute end-to-end without human intervention. Platform rate limits and anti-scraping measures require thoughtful scheduling and retry logic.