TimeTonic
TimeTonic is a time tracking and project management platform that helps teams log hours, manage tasks, and track project progress. With Coupler.io, you can automatically export your TimeTonic data—timesheets, project hours, team activity—to Google Sheets, Excel, BigQuery, Looker Studio, or AI destinations like Claude and ChatGPT for analysis and reporting.
Why connect TimeTonic to Coupler.io?
Automate time tracking exports — Pull your latest timesheet and project data without manual downloads
Build live dashboards — Feed TimeTonic data into Looker Studio or Google Sheets for real-time reporting
Combine with other data — Use Join or Append transformations to merge TimeTonic hours with project costs, resource allocation, or payroll data
Analyze with AI — Send timesheets and project metrics to Claude or ChatGPT for automated insights on team productivity and project profitability
Prerequisites
A TimeTonic account with access to at least one workspace and table
Permission to generate or access an API key from your TimeTonic account settings
A destination ready to receive the data (Google Sheets, Excel, BigQuery, Looker Studio, or an AI destination)
Quick start
How to connect
Sign in to Coupler.io and create a new data flow. Choose TimeTonic as your source.
Paste your TimeTonic API key. In your TimeTonic account, navigate to your workspace settings and find the API key section. Copy your key and paste it into the Coupler.io connection form. Click Test connection to verify.
Select your workspace. Choose the workspace you want to export data from using the dropdown menu.
Choose a table. Select the table (timesheet, project, team activity, etc.) you want to export.
Pick a view (optional). If your table has multiple views, select the one you want to use. If you're unsure, the default view will work fine.
Select your destination. Choose where you want the data to land: Google Sheets, Excel, BigQuery, Looker Studio, or an AI destination like Claude for automated analysis.
Run the data flow. Click Run to complete your first export. Once the run succeeds, your data is ready in the destination.
Available tables
TimeTonic data varies by workspace and account setup. Common tables include:
Timesheets
Employee or contractor time entries, logged hours, and project assignments
Projects
Project names, codes, budgets, status, and team members
Team Activity
Logs of who tracked time, when, and for how long
Tasks
Individual tasks, assignments, estimated vs. actual hours
Reports
Pre-built summaries like billable hours, resource utilization, or project spend
Your exact tables depend on your TimeTonic workspace configuration. If you don't see an expected table, check your workspace settings or contact your TimeTonic admin.
TimeTonic data overview
TimeTonic exports timesheet, project, and team activity data that's ready for payroll, billing, resource planning, and project analytics. The exact tables and columns available depend on your workspace setup and user permissions.
Common table types
Timesheets
Logged hours by employee, date, and project
Payroll processing, billable hours tracking
Projects
Project details including budget, timeline, and team
Project profitability, resource allocation
Team Activity
Summary of who logged time and when
Team productivity reports, audit trails
Tasks
Individual tasks with time estimates and actual hours
Workload distribution, project scheduling
Reports
Pre-aggregated summaries
Quick dashboards without further transformation
Common metrics
Time tracking metrics
Total hours logged — Sum of all hours tracked across projects or team members
Billable hours — Hours marked as billable or chargeable to clients
Overtime hours — Hours exceeding standard work week
Project hours — Total hours allocated to a specific project
Resource utilization — Percentage of time allocated vs. available capacity
Project metrics
Budget vs. actual spend — Planned project cost vs. hours logged at rate
Project completion rate — Percentage of tasks or hours completed
Average task duration — Estimated vs. actual hours per task
Team member utilization — Hours logged per person as percentage of availability
Common dimensions
Time dimensions
Date/Week/Month — Time period for grouping logged hours
Employee or contractor — Who logged the time
Project — Which project received the hours
Task — Specific task assigned
Status — Approved, pending, draft, submitted
Business dimensions
Department — Organizational unit
Cost center — Internal billing or allocation code
Client — External customer or internal department
Billable flag — Whether hours are charged to a customer
Use cases by role
Export timesheet data to calculate payroll, track labor costs by project, and reconcile billable vs. non-billable hours. Use Append to combine multiple months or employees, then feed results to your payroll system or accounting software. Use Join to add employee rates or cost center mappings for accurate costing.
Track project budgets, monitor hours against estimates, and measure team capacity. Pull project and task-level data, then use Aggregate to summarize hours by project, team member, or phase. Join with project budget tables to create variance reports (budget vs. actual).
Plan team capacity, identify over-allocation, and balance workload across projects. Export team activity and utilization metrics, then use Aggregate to calculate average hours per resource and availability gaps. Join with employee information for headcount and role-based analysis.
Build dashboards showing labor costs, project profitability, and team productivity. Send TimeTonic data to Looker Studio for live dashboards or to Claude/ChatGPT for automated insights on utilization trends, cost overruns, and resource bottlenecks.
Platform-specific notes
Views matter — If your table has multiple views (e.g., filtered by date range, status, or team), make sure you select the right one. Different views can have different column sets.
Permissions — The API key you use must have permission to access the workspace and tables you select. If you see "Permission denied" errors, check your TimeTonic role and API key settings.
Data freshness — TimeTonic data is pulled at the time you run the data flow. Scheduled refreshes will export the latest data from your workspace.
Time zone handling — Verify that dates and times in your export match your workspace time zone. TimeTonic may store times in UTC; check your workspace settings if you notice discrepancies.
Large datasets — If exporting thousands of rows, the data flow may take longer. Consider filtering by date range or using views that limit the result set.
Custom fields — If your tables include custom fields or metadata, they will appear as columns in the export. Column names come from your TimeTonic configuration.
TimeTonic common issues
Connection issues
Missing data
Permission errors
Data discrepancies
Rate limits
TimeTonic FAQ
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