Open source tool to schedule, analyze, and grow your LinkedIn page (github.com)

A new open-source AI-powered tool has been launched to enhance LinkedIn content management, allowing users to schedule, analyze, and grow their LinkedIn pages effectively. This tool automates the process of generating posts from articles, project launches, and hackathon recaps, enabling users to approve and publish content to personal or company profiles. The platform utilizes a tech stack that includes Next.js 16, Convex, and the LinkedIn API, providing a comprehensive dashboard for tracking post performance metrics like impressions and engagement. This development is significant for the AI/ML community as it showcases the integration of machine learning in social media management, streamlining how businesses and individuals can engage with their audience. With features such as an AI composer for draft generation, an approval queue for content review, and performance analytics synchronized with LinkedIn, the tool not only enhances productivity but also empowers users to maintain brand consistency. Furthermore, the ability to manage drafts and scheduled posts through a straightforward interface positions this tool as an essential resource for those looking to leverage AI for effective social media engagement.