Overview
By 2026, Rize's AI time tracking system recognizes over 300,000 applications and websites, automatically categorizing them as "Work," "Meeting," or "Distraction" without requiring users to manually configure each app or URL. This massive recognition database represents one of the most comprehensive automatic categorization systems in time tracking.
How It Works
Machine Learning Classification:
- Rize's AI analyzes application and website characteristics
- Learns from usage patterns across thousands of users
- Continuously updates and expands its recognition database
- Applies context-sensitive categorization
Automatic Categorization:
- Each recognized app/website is pre-categorized
- Categories include Work, Meeting, Communication, Distraction, and more
- Users can override defaults for their specific workflow
- Custom rules can refine AI suggestions
The 300,000+ Database
Coverage Includes:
- All major productivity suites (Microsoft, Google, Atlassian)
- Development tools and IDEs
- Design applications
- Communication platforms
- Project management tools
- Social media sites
- News and entertainment sites
- Specialized industry software
- Niche tools and applications
Constant Updates:
- New applications added continuously
- Emerging tools recognized quickly
- Category assignments refined based on user feedback
- Regional and industry-specific tools included
Benefits of Extensive Recognition
Zero Configuration:
- New users get accurate tracking from day one
- No hours spent categorizing applications
- Works immediately upon installation
Accurate Categorization:
- AI makes better categorization decisions than manual rules
- Context-aware categorization (e.g., GitHub can be work or personal)
- Reduces miscategorization errors
Comprehensive Tracking:
- No apps or websites fall through cracks
- Everything gets categorized appropriately
- Complete picture of time usage
Competitive Advantage
The 300,000+ recognition capability differentiates Rize from competitors:
- Many time trackers require extensive manual setup
- Smaller databases miss specialized or newer tools
- Users avoid tools that need configuration
- Accuracy improves with database size
Privacy Considerations
While recognizing 300,000+ apps/sites, Rize:
- Stores all data locally on user devices
- Doesn't send browsing history to cloud servers
- Uses recognition for categorization only
- Respects user privacy while providing insights
2026 Context
The expansion to 300,000+ recognized items by 2026 reflects:
- Growing software ecosystem complexity
- Proliferation of specialized tools
- Rize's commitment to comprehensive coverage
- Advancement in AI categorization capabilities
Use Cases
Freelancers: Automatically distinguishes client work from personal activities
Developers: Recognizes all development tools and environments
Designers: Categorizes design applications appropriately
Consultants: Tracks work across multiple client-specific tools
Remote Workers: Differentiates between various collaboration platforms
Future Direction
The 300,000+ database continues expanding to cover:
- Emerging AI-powered tools
- Industry-specific applications
- Regional software variations
- Web applications and SaaS platforms
- Mobile app equivalents
This extensive recognition capability represents the state of the art in automatic time tracking categorization, removing one of the traditional barriers to time tracking adoption: the burden of configuration.
