Connect QuickHunt and Numerai to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for QuickHunt
Choose an Action
Automatically do this!
- Request a new Action for Numerai
Enable Integrations or automations with these events of QuickHunt and Numerai
Enable Integrations or automations with these events of QuickHunt and Numerai
Actions
Get All Feedback
Retrieve paginated feedback items for the selected project.
Create New FeedBack
Create a feedback (idea).
Update Feedback
Update an existing feedback item.
Delete Feedback
Delete a feedback.
Get Feedback Up Voters
Retrieve the list of users who upvoted a specific feedback item.
Add New Comment
Add comment to a feedback.
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- Send for Approval acceptCreate Entry of expensesAdd Step
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Know More About Quickhunt and Numerai Integrations
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Frequently Asked Questions
To start, connect both your QuickHunt and Numerai accounts to viaSocket. Once connected, you can set up a workflow where an event in QuickHunt triggers actions in Numerai (or vice versa).
Absolutely. You can customize how QuickHunt data is recorded in Numerai. This includes choosing which data fields go into which fields of Numerai, setting up custom formats, and filtering out unwanted information.
The data sync between QuickHunt and Numerai 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 QuickHunt and Numerai. 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 QuickHunt
QuickHunt is a dynamic platform designed to streamline job searching and recruitment processes, offering innovative tools for both job seekers and employers.
Learn MoreAbout Numerai
Numerai is a unique hedge fund that leverages the power of data science and machine learning to make stock market predictions. It operates as a decentralized network where data scientists from around the world can contribute their models to improve the fund's performance. By using encrypted data, Numerai ensures privacy and security while fostering collaboration among its community of data scientists.
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