Connect Everhour and V7 Go to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Everhour
Choose an Action
Automatically do this!
Create Project
Create a New Session
Delete Project
Update Project
Create an export
Delete an Export
Enable Integrations or automations with these events of Everhour and V7 Go
Enable Integrations or automations with these events of Everhour and V7 Go
Actions
Create Task
Creates a new task in Everhour.
Create Project
Creates a new project.
Add Time
Adds your time to a task.
Create Section
Сreates section (column) in a project.
Start Timer
Starts a new timer for a task.
Stop Timer
Stops the current timer.
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Frequently Asked Questions
To start, connect both your Everhour and V7 Go accounts to viaSocket. Once connected, you can set up a workflow where an event in Everhour triggers actions in V7 Go (or vice versa).
Absolutely. You can customize how Everhour data is recorded in V7 Go. This includes choosing which data fields go into which fields of V7 Go, setting up custom formats, and filtering out unwanted information.
The data sync between Everhour and V7 Go typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Everhour and V7 Go. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Everhour
Everhour is a time tracking and project management tool designed to help teams and businesses efficiently manage their time and resources. It integrates seamlessly with popular project management platforms, allowing users to track time, set budgets, and generate insightful reports to optimize productivity and project outcomes.
Learn MoreAbout V7 Go
V7 Go is a cutting-edge platform designed for AI-driven image and video annotation, streamlining the process of training machine learning models. It offers advanced tools for data labeling, management, and collaboration, making it an essential resource for developers and data scientists working on computer vision projects.
Learn More
