TimeMaster

Passively monitors user activity and automatically logs time spent on applications and websites without requiring manual timer starts or stops. Uses privacy-preserving methods to detect work patterns without screenshots or keystroke logging.

Automatically categorizes and aggregates tracked time into projects and tasks, allowing users to see total time spent per project without manual categorization. Enables detailed project-level time analysis for billing and resource planning.

Analyzes accumulated time tracking data to identify work patterns, peak productivity hours, and time allocation trends. Generates visual reports showing when users are most productive and how time is distributed across activities.

Chatbot-based system that analyzes time tracking data and work patterns to generate contextual, actionable productivity recommendations. Provides specific suggestions for improving efficiency based on individual work habits rather than generic advice.

Implements privacy-first architecture that captures work activity without invasive surveillance methods like screenshots or keystroke logging. Provides transparency about what data is collected and how it's used.

Automatically calculates billable hours from tracked time, applying project-specific billing rates and rules. Generates invoicing-ready reports showing time spent and corresponding charges for client billing.

Conversational AI interface that allows users to ask questions about their time tracking data, productivity patterns, and work habits in natural language. Provides on-demand insights and answers without requiring manual report generation.

Aggregates time tracking data across team members to show overall team utilization, project allocation, and resource distribution. Enables managers to understand how team time is distributed across projects and identify capacity issues.