About Aboard
Aboard is a data management platform that leverages AI to simplify user interactions with digital data, enhancing software development processes. This tool allows users to organize their own links, notes, and other data or utilize AI to discover new information. It offers a browser extension to capture relevant content, making the digital space less cluttered. On the platform, users are able to develop visual, searchable, and shareable boards which are enhanced with AI recommendations. These boards can be used for collaboration among work teams, families, or friends. The system features include the AI-enabled Board Builder to prevent users from facing blank boards, Browser Clean Up for organizing multiple open tabs, and prioritizing functionalities with a Kanban view. It also offers a Table View for a high-level view and management of data. Aboard facilitates customizing databases by allowing users to add custom fields such as due dates, names, or addresses. This way, data becomes more structured and useful. Moreover, Aboard promotes knowledge sharing with a weekly podcast discussing modern tech leadership, and a newsletter providing updates and insights on tech and business. Aboard's application is available for download on various platforms.
Key Features
- ✅ Personalized data organization
- ✅ Browser extension for capturing content
- ✅ Visual and searchable boards
- ✅ Collaborative boards for teams
- ✅ Browser Clean Up feature
- ✅ Tab prioritization with Kanban view
- ✅ Table View for data management
- ✅ Database customization options
- ✅ Custom fields for data structuring
- ✅ Promotes knowledge sharing
- ✅ Weekly tech leadership podcast
- ✅ Insightful newsletters
- ✅ Multiformat app availability
- ✅ Visual representation of data
- ✅ Streamlined user interaction
Pricing
Free to use
Rating & Reviews
3/5 stars based on 1 reviews
Categories & Tags
Category: Data Management
Tags: AI for Data Management, Collaboration, Simplified User Interaction, AI Recommendations, Software Development, Organize Digital Data