The LinkedIn Connections Analyzer is a web application designed to help users analyze their professional network by processing their LinkedIn connections data. The app allows users to upload a CSV file containing their LinkedIn connections, which is then parsed and analyzed to provide insights about their network. To use the app, users simply need to upload their "Connections.csv" file, which can be obtained from LinkedIn's data export feature. Once the file is uploaded, the app processes the data and displays the number of contacts loaded. Users can then interact with the application by asking questions about their network, and the app will provide responses based on the analyzed data. The application is built using TypeScript and React, leveraging various technologies such as the csv-parse library for CSV parsing, Vercel KV for data storage, and the OpenAI SDK for generating AI-driven responses. The app features robust error handling to manage issues related to file uploads and parsing, ensuring a smooth user experience. Key features of the LinkedIn Connections Analyzer include: - CSV file upload functionality with validation to ensure the correct file type is submitted. - A robust parser that handles various CSV formatting issues, such as missing newlines and extra commas. - In-memory and KV storage options for managing user data and session information. - An interactive chat interface that allows users to ask questions about their network, with AI-generated responses based on their connections. - Detailed error messages and sample data display to assist users in troubleshooting any issues with their uploaded files. Overall, the LinkedIn Connections Analyzer provides a user-friendly interface for individuals looking to gain insights into their professional relationships and optimize their networking strategies.
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Last Updated April 25, 2025
