Extract value from noise. An autonomous backend system that ingests unstructured data and distills actionable insights using GPT-4.
Data today is chaotic—scattered across emails, webhooks, and RSS feeds. Chaos Harvester is designed to tame this entropy. It asynchronously pulls raw content, processes it through OpenAI's GPT-4 to extract structured "signals" (like action items, sentiment, or summaries), and stores them for easy consumption.
Connects to IMAP servers, webhooks, or feeds to pull in raw unstructured text.
Passes data to GPT-4 with specific prompts to isolate value from noise.
Uses Celery & Redis to handle high-volume processing asynchronously.
Saves structured insights to PostgreSQL for dashboard reporting.