yourdadisco/hotspot_analysis

What it solves

This project addresses the difficulty B2B AI product managers and business personnel face when trying to track and analyze AI industry trends. It automates the process of collecting, analyzing, and prioritizing AI news and updates to provide actionable business insights tailored to a company's specific needs.

How it works

The system uses a pipeline to transform raw data into business intelligence:

1. Data Collection: Celery scheduled tasks crawl AI-related updates from news outlets, technical communities, and social media.
2. Content Parsing: The system extracts metadata such as titles and summaries.
3. Business Matching: It analyzes the relevance of the collected information against the user's specific business description.
4. Importance Grading: An LLM (via DeepSeek or OpenAI compatible APIs) categorizes updates into five levels of importance: Urgent, High, Medium, Low, and Watch.
5. Report Generation: The system generates a detailed report including importance explanations, business impact, and suggested actions.
6. Frontend Display: Users view the prioritized hotspots and reports via a React-based dashboard.

Who it’s for

B2B AI product managers and business development professionals who need to stay current with AI advancements while filtering out noise and focusing on the most relevant industry shifts.

Highlights

• Automated Tracking: Daily automatic updates of AI industry hotspots.
• Personalized Analysis: Relevance analysis based on the user's own business context.
• Business-Centric Grading: A five-tier importance system to help users prioritize their attention.
• Full-Stack Implementation: Built with FastAPI, React, PostgreSQL, and Redis for a scalable architecture.