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Linkedin Clone

A responsive, client-side LinkedIn feed page clone built with Next.js and Shadcn, showcasing UI replication and a basic messaging feature.

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Replicate a LinkedIn-Style Feed with Next.js & Shadcn UI

Explore this open-source project, a LinkedIn feed page clone built using Next.js and Shadcn UI. It demonstrates how to create a responsive, client-side interface mimicking LinkedIn's user experience, including a basic messaging component. This project serves as a practical example for developers interested in building social media UIs or learning Next.js and Shadcn integration, focusing purely on front-end rendering without server-side interactions.

Features:

  • Next.js Framework: Core application built using the Next.js React framework.
  • Shadcn UI Components: User interface crafted with pre-built Shadcn components.
  • Responsive Design: Adapts its layout for optimal viewing on various screen sizes.
  • Client-Side Rendering: All content and interactions are handled in the browser without server-side processing for posts or messages.
  • LinkedIn Feed UI Clone: Replicates the visual structure and elements of the LinkedIn main feed page.
  • Simulated Post Display: Shows example posts with user details, content, and placeholder engagement metrics.
  • Interactive Post Elements (UI Only): Includes buttons for 'Like', 'Comment', 'Repost', and 'Send' without backend functionality.
  • Basic Messaging Component: Features a simplified messaging interface to mimic LinkedIn's chat functionality (UI demonstration only).
  • Navigation Bar Replica: Implements a top navigation menu similar to LinkedIn's for accessing different sections (UI only).
  • Profile Snippet Display: Shows a user profile summary section on the feed page.

Summary:

This project provides a client-side replica of the LinkedIn feed page, constructed with Next.js and Shadcn UI. It emphasizes front-end design and responsiveness, offering a visual demonstration of how such an interface can be built. While it includes UI elements for posts and messaging, it's a purely front-end example without actual backend functionality, serving as an educational tool or starting point for similar applications.

Distribution:
opensource
GitHub:
35 Stars
3 Forks
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