Cadensa is a time tracking platform for agencies and freelancers. It addresses the loss of 15 to 20 percent of billable hours that occurs when workers forget to log their time by providing a timer that captures every minute so that all worked hours appear on invoices.
The platform offers flexible time tracking that lets users start, pause, and resume a timer with one click while limiting each user to one active timer at a time. It includes project management for organizing work by projects and tasks, team collaboration through multi-member workspaces, and reports with analytics. Export options vary by plan: CSV for the free tier, PDF and Excel for the pro tier, and custom reports for the enterprise tier. Integrations connect with Google Calendar and select invoicing providers, with Zapier, Make.com, and webhooks listed on the roadmap for paid plans.
Cadensa is delivered as a web-based service hosted in the EU on Hetzner DE and OVHcloud infrastructure. It maintains GDPR compliance on every plan, including the free tier. Early access is available with no credit card required and the option to cancel anytime. The free plan supports up to five members, ten projects, and fifty tasks. The pro plan raises limits to twenty members and unlimited projects with more than seventy tasks per project, while the enterprise plan provides unlimited team size and additional capabilities.
In the Time & task tracking space, Cadensa takes a focused approach. It focuses on losing billable hours due to incomplete or forgotten time tracking in agency and freelance work. Cadensa is a B2B product aimed at agencies, freelancers, and professional teams. A free plan is available. Cadensa is available on the web.
Cadensa builds and maintains Cadensa, and it first shipped in 2024. Among its 5 catalogued features are Time Tracking, Project Management, and reports and Analytics. The interface is available in 5 languages, including German, English, and Spanish. It exposes integrations via a Zapier integration. Cadensa is currently in beta.
Summary written by a language model from the project’s public pages.
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