Project: Hiive
AI Market Sentiment Analyzer
Hiive
A demo application that showcases how Agentic AI can enhance Hiive's private market data insights through sentiment analysis.
Project Demo
Project Metrics
Project Details
The AI Market Sentiment Analyzer bridges information asymmetry in private markets by analyzing sentiment across news, social media, and financial reports to provide deeper investment insights. It uses AI agents to process large volumes of information that would be time-consuming to analyze manually.
Business Value
- Market Intelligence
- Investment Decision Support
Key Features
Sentiment Analysis Dashboard
Interactive visualization of sentiment trends, company-specific sentiment analysis, and topic breakdown with source analysis.
AI Agent System
Article sentiment analysis agent and agent orchestrator for coordinating analysis tasks with LLM integration via OpenRouter API.
Article Submission System
Web interface for uploading articles, desktop CLI for batch article submission, and automatic processing via S3 event notifications.
Serverless Backend
Express API endpoints for sentiment analysis and article submission with Lambda functions for API, article processing, and summary aggregation.
Technologies Used
Frontend
Backend
DevOps
Other
Challenges & Solutions
Time constraint of 1-2 day implementation window
Focused scope on core functionality, leveraged existing libraries, and implemented mock data where appropriate.
LLM API performance and cost
Implemented caching for repeated queries, used streaming responses, and configured appropriate Lambda timeouts.
API Gateway to Express integration complexity
Created custom integration between Express and API Gateway with proper error handling.
Key Learnings
- Serverless Architecture: AWS Lambda with Express adapter provides a flexible, cost-effective solution for backend development that scales automatically.
- AI Agent Orchestration: Coordinating specialized AI agents allows for more sophisticated analysis than a single monolithic agent.
- Event-Driven Processing: S3 event notifications enable efficient, asynchronous processing of articles without polling.
- Infrastructure as Code: AWS CDK with TypeScript provides a powerful way to define and deploy infrastructure with the same language as the application.