Angel Investor Company Deep Researcher

This workflow is for angel investors or venture capitalists. It helps them find new companies that recently raised money. It also gathers important details about these companies. The workflow automatically scans major tech news sites: TechCrunch and VentureBeat. It identifies articles about funding rounds. Then, it extracts key company information using AI and saves it to Airtable. It can also do a deeper AI-powered research. This saves time and ensures no funding news is missed. 1. Set up API credentials for OpenRouter (for Perplexity), Anthropic (for Claude), Perplexity.ai, and Jina AI. 2. Configure Airtable credentials and specify the base and table where the data will be stored. 3. Update the filter keywords if you need to look for specific types of funding or articles. 4. Run the workflow manually to start, or schedule it to run at regular intervals. You need accounts and API keys for OpenRouter, Anthropic, Perplexity.ai, Jina AI, and Airtable. You also need an n8n instance to run the workflow. You can change the news sources by adding more HTTP Request nodes. Change the filtering keywords to find different types of articles. Adjust the AI prompts in the "Prompts" node to get different research details. Customize the Airtable schema to store more or less information. Key Technologies: n8n,Airtable,AI (Perplexity, Claude, Jina AI),HTTP Requests,XML Parsing,HTML Scraping Automation Value: - Saves time: Automates searching and extracting information from news articles. - Reduces manual effort: No need to manually read articles and input data into Airtable. - Improves data accuracy: AI helps extract structured data consistently. - Enhances research: Provides deep AI-powered company research. - Never miss leads: Automatically tracks new funding announcements. Best Practices: - Modular Design: The workflow uses a "Route to Deep Research" node, suggesting that the deep research part can be run as a sub-workflow, promoting reusability and cleaner design. - Error Handling (Implicit): The filter nodes help narrow down relevant articles before further processing, which indirectly prevents errors from malformed or irrelevant content.