Visualize Your Cloud Storage with Mohiomap
For many users, platforms like Evernote become digital dumping grounds—overflowing with PDFs, web clippings, and notes that grow increasingly difficult to organize. Enter Mohiomap, an innovative web app that converts your cluttered cloud storage into intuitive mind maps. Recently expanded to support Google Drive and Dropbox, this tool offers a fresh perspective on content management.
How Mohiomap Works
[youtube https://www.youtube.com/watch?v=aivmnk9iQ_U]
Developed by New Zealand-based startup Mohiomap, this freemium tool provides:
- Free tier: Basic mind map navigation and search functionality
- Premium tier ($5/month): Custom themes, node connections, analytics dashboards, and note commenting
Solving Information Overload
Founded by Christian Hirsch during his PhD research at the University of Auckland, Mohiomap addresses the modern challenge of information overload. The platform transforms traditional list-based storage into dynamic visual networks, revealing hidden connections between your files.
“Mind maps offer an alternative way to explore your information,” explains Hirsch. “They provide context that flat lists simply can’t, helping users understand relationships between documents and projects.”
Key Features and Applications
- Visual search alternative for Evernote, Dropbox, and Google Drive
- Content rediscovery of older, buried files
- Project visualization to understand document relationships
- Twitter visualization prototype (currently in early testing)
Future Developments
Mohiomap’s roadmap includes:
- Expanding to additional cloud platforms
- Developing enterprise solutions for workplace collaboration
- Creating an iPad-native mobile application
- Enhancing the Twitter visualization tool
The company currently monetizes through premium subscriptions and plans to offer customized enterprise solutions for large-scale document repositories.
For anyone struggling with digital clutter, Mohiomap presents an innovative way to visualize and interact with cloud-stored content—turning chaotic collections into meaningful maps of information.
