Documentation Index Fetch the complete documentation index at: https://docs.chartcastr.com/llms.txt
Use this file to discover all available pages before exploring further.
Chartcastr supports 10 pre-built Harvest metrics across four categories. All metrics are delivered as timeseries charts with weekly data points, enabling week-over-week and month-over-month trend analysis.
Time Tracking
Metric Description Hours by Client Weekly hours tracked per client over time — see where your team spends time and spot shifts in client allocation Hours by Project Weekly hours tracked per project over time — compare project effort and catch scope creep early Hours by Team Member Weekly hours tracked per team member over time — monitor utilization and workload balance Hours by Task Weekly hours tracked per task type over time — understand how work distribution changes week-over-week Billable vs Non-Billable Billable and non-billable hours per week over time — track utilization rate trends
Revenue
Metric Description Revenue by Client Weekly billable revenue per client over time — identify your top revenue sources and spot trends Revenue by Project Weekly billable revenue per project over time — compare project profitability week-over-week
Expenses
Metric Description Expenses by Category Weekly expense totals by category over time — track spending patterns and catch anomalies Expenses by Project Weekly expense totals by project over time — monitor project costs and budget adherence
Uninvoiced
Metric Description Uninvoiced by Project Uninvoiced hours and expenses per project — catch unbilled work before it slips through the cracks
AI Analysis
Every chart delivery includes AI-powered analysis that highlights:
Week-over-week changes — what moved and by how much
Month-over-month trends — longer-term patterns in your data
Anomalies — unusual spikes or drops worth investigating
How AI analysis works in pulses Learn how Chartcastr generates summaries, what context it uses, and how to get the most out of AI analysis.