
When this happens...
New Project
New Client
New Service
New User
New Time Entry

Automatically do this!
Enable Integrations or automations with these events of Timelink and Labelf
Triggers when a new project is created.
Triggers when a new client is created.
Triggers when a new service is created.
Triggers when a new user is created.
Triggers when a new time entry is created.
Get all the projects.
Get all the clients.
Create a new client.
Get the details of a specific client.
Update the details of client.
Delete a specific client.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Timelink and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Timelink triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Timelink data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Timelink and Labelf 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 Timelink and Labelf. 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.
Timelink is a comprehensive time tracking and management tool designed to help individuals and teams efficiently manage their time and tasks. With features like time logging, project tracking, and detailed reporting, Timelink ensures that users can optimize their productivity and meet deadlines effectively.
Learn MoreLabelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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