I developed a full-stack website that integrates with clients' Substack blogs to automatically extract and organize content. The backend, built with Flask, processes blog data and stores it in MongoDB for easy retrieval. The platform identifies relevant links within blog posts and allows users to search based on client-defined preferences.

For example, if a user searches for "technology," the site will surface links related to AI, ML, WordPress, React, and other relevant topics present in the blog. The React frontend provides an intuitive and dynamic search interface for users to interact with.

By combining Flask, MongoDB, and React, this solution streamlines content discovery, offering clients a way to organize and present their blog links based on user interests. This tool maximizes the value of existing blog content and enhances user engagement by delivering more relevant, personalized search results.