Building a market research platform with Parallel Deep Research
Blog post from Parallel Web Systems
The market research platform described utilizes advanced architecture and design patterns to provide comprehensive, real-time data analysis without requiring user authentication. It employs Parallel's Deep Research API for AI-powered insights and uses Server-Sent Events (SSE) for live task progress updates, offering a modern, interactive dashboard for users. Reports are accessible globally via unique URLs, and users can opt for email notifications of completed reports through the Resend API. The backend, built on Flask and PostgreSQL, supports robust task management and data storage, with intelligent input validation ensuring high data quality. The platform's real-time streaming and reconnection logic are designed to handle network interruptions effectively, while diverse event processing enriches the user interface with dynamic updates. Additionally, a unified database schema efficiently manages both active and completed tasks, facilitating easy report sharing and discovery.
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