This month, AACFlow crossed two numbers I never imagined when I started building this platform alone: 60,000 developers and 10 million agent executions per month.
Not sign-ups. Not "registered users." Sixty thousand developers actively building, testing, and deploying AI agents on our infrastructure. Ten million distinct workflow runs every month โ each one a full DAG execution with state persistence, parallel branches, retry logic, and real-time streaming.
These aren't vanity metrics. They're a signal that the market is ready for production-grade AI agent infrastructure. Here's what the numbers look like and what they taught us.
The Metrics That Matter
Growth isn't just about the headline number. The shape of the growth tells the real story:
- 60,000+ developers across 140+ countries. Top regions: Russia, Germany, United States, India, Brazil.
- 10.2 million agent executions/month โ up from 1.2 million six months ago. 8.5x growth in half a year.
- Average workflow complexity: 14 nodes. Users aren't building simple "API call โ response" pipelines. They're building multi-step, multi-branch, multi-tool agents with conditional logic and parallel execution.
- 3.2 million API calls/day through our AI API layer โ routing across 15+ LLM providers.
- 412,000 knowledge base documents synced across 170+ connectors. AmoCRM deals, Gmail threads, Confluence pages, 1C invoices โ business data feeding agent memory in real time.


