What problem does it solve?
Aggregates and automates daily information collection from many sources so you no longer manually fetch, filter, and combine disparate news, trends, and platform signals into a single briefing.
Core Features & Use Cases
- Automated multi-source collection: discovers and runs per-source Node.js collectors for RSS feeds, GitHub Trending, social hotlists, and proprietary APIs.
- Parallel AI analysis: dispatches multiple agent analyses in parallel, each with its own analyst prompt and output file, then runs a synthesizer to produce cross-source insights.
- Operational reliability: saves raw JSON, handles token expiry warnings, allows partial runs (select sources), and sends the final briefing as a Feishu notification.
- Use Case: run a daily "早报" that pulls yesterday's posts, analyzes each platform, synthesizes trends, and pushes a concise briefing to Feishu for an indie developer or small product team.
Quick Start
Run the collect pipeline to fetch yesterday's data, run per-source analyses, synthesize a briefing, and push the result to Feishu using the collect trigger.