Case Study - Revolutionizing Digital Magazine Publishing with Social Engagement
A social media app for magazine publication houses and their readers, enabling intuitive content discovery, engagement, and digital publishing
- Client
- Magazine AI
- Year
- Service
- Digital Publishing, Social Media
Overview
Problem:
MagazineAI aimed to transform the way magazine publication houses connect with their readers and publish digital content. The client faced challenges in making their extensive PDF archives engaging and easily accessible, while also streamlining the publishing process for other publication houses.
Approach:
Our team conducted thorough research, studying user behavior on popular blog reading platforms and analyzing sample PDF files. We designed an intuitive social media-like platform, incorporating machine learning to automate article fetching and publishing.
Solution:
The developed app featured two interfaces: one for readers, offering personalized feeds, commenting, and publishing capabilities, and another for publication houses, streamlining content management and publishing.
Our solution enabled seamless digital publishing, reader engagement, and social sharing, revolutionizing the magazine publishing industry.
Deliverables
- Mobile application (React Native)
- Web application (React JS)
- Backend APIs (Node.JS)
- Machine learning model (Python)
- Cloud Infrastructure (AWS)
- UI/UX designs (Figma)
Working with NinthNode has been an incredible experience. Their fresh ideas and deep understanding of AI and design helped us bring MagazineAI to life—a social media app that’s truly transforming how readers and publishers connect. Thanks to their hard work and creativity, we’ve seen amazing results, from higher engagement to industry recognition. We’re excited to keep this partnership going and explore new possibilities in digital publishing together.
CEO of Magazine AI
- early publication houses within a month of launch
- 250
- readers
- 3000+
- Best application award from the government of Indonesia