Connect Sleekplan and Suno to Build Intelligent Automations
Enable Integrations or automations with these events of Sleekplan and Suno
Enable Integrations or automations with these events of Sleekplan and Suno
Actions
List All Comments
Retrieves the list of all comments.
Create Changelog Update
Create an update
Create Feedback
Create a new post
Update Feedback
Update a post
Search User
Retrieves the list of users based on search query string
Search Post
Returns a list of feedback posts based on specified search.
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Frequently Asked Questions
To start, connect both your Sleekplan and Suno accounts to viaSocket. Once connected, you can set up a workflow where an event in Sleekplan triggers actions in Suno (or vice versa).
Absolutely. You can customize how Sleekplan data is recorded in Suno. This includes choosing which data fields go into which fields of Suno, setting up custom formats, and filtering out unwanted information.
The data sync between Sleekplan and Suno 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 Sleekplan and Suno. 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 Sleekplan
Sleekplan is a customer feedback management tool that can easily be embedded in any web application. Use the widget to track suggestions, feedback, and bugs and discuss them with your customers. Plus, it' s easy to share a roadmap and keep a changelog.
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About Suno
Suno is a cutting-edge platform that provides advanced AI tools and services through its API. It is designed to empower developers and businesses with powerful artificial intelligence capabilities, enabling them to integrate AI-driven features into their applications seamlessly. Suno offers a range of AI solutions, including natural language processing, machine learning, and data analysis, to enhance productivity and innovation.
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