Have something to say?

Tell us how we could make the product more useful to you.

Auto-Cluster AI Time Entries by Area + Weekly/Monthly/Yearly Breakdown

I really like the AI-generated Time Entries in Rise Time Tracking. The automatic detection of what I worked on is extremely valuable because it lets me review my work retroactively without having to manually log everything. What’s missing today is structure and longer-term visibility. Time Entries are mainly usable on a daily level, but I’d love to have them automatically categorized/clustered into higher-level areas of work, for example Marketing, Product, Operations, Finance, People, or other custom categories. Based on those categories, it would be very helpful to get a breakdown by week, month, and year so I can clearly see where my time is going over time, including trends. Why this matters: Better prioritization and time awareness for leadership Faster reflection: “What did I actually spend my week/month on?” Improved planning and focus on high-impact areas

Mischa About 10 hours ago

💡

Feature Request

Model Context Protocol (MCP) Server for Rize

Hi Rize Team, I'd love the ability to connect my AI assistant (Claude) to my Rize data through a Model Context Protocol (MCP) integration. What I Want to Be Able to Do Conversational Data Access Ask my AI assistant questions about my productivity patterns and get instant answers from my Rize data "How many hours did I spend in deep work this week?" "What's my average focus score when working on design tasks?" "Show me my productivity trends over the last month" Automated Analysis & Insights Have my AI analyze focus patterns without manual CSV exports Identify correlations between time of day, app usage, and focus quality Detect productivity anomalies or changes in work patterns Compare week-over-week performance across categories Smart Category Management Ask "Which sessions are miscategorized based on the apps used?" Get AI suggestions for category refinement based on activity patterns Validate that my 28-category system is being applied consistently Integrated Workflow Automation Pull session data into daily/weekly review workflows Generate productivity summaries for client billing or personal tracking Combine Rize metrics with other data sources (calendar, tasks, notes) for holistic analysis Create custom reports without leaving my AI conversation Context-Aware Coaching Have my AI assistant reference my actual work patterns when giving productivity advice "Based on my Rize data, when should I schedule deep work?" Get personalized recommendations grounded in my real behavior, not generic tips Why MCP? MCP is an open protocol (https://modelcontextprotocol.io/) that lets AI assistants securely access external data sources. Similar to how I can already connect Claude to Notion and Google Drive, I want the same seamless experience with Rize. The value is having all my productivity data accessible in natural conversation without constant manual exports. You already have the API infrastructure—MCP would just expose it in a way that AI assistants can use. I'll leave the technical implementation to you (you know your stack better than I do), but the end goal is: let my AI assistant read my Rize data so it can help me understand and improve my productivity patterns in real-time. Thanks for considering this! Chadwick

Chadwick Dewey 2 days ago

💡

Feature Request