
When this happens...

Automatically do this!
Enable Integrations or automations with these events of PostHog and Numerai
Record a user event in PostHog using a distinct user ID and optional properties.
List all user
List all organizations
List all project
List all members
Create a project in PostHog
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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 PostHog and Numerai accounts to viaSocket. Once connected, you can set up a workflow where an event in PostHog triggers actions in Numerai (or vice versa).
Absolutely. You can customize how PostHog 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 PostHog 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 PostHog 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.
PostHog is an open-source product analytics platform that provides businesses with the tools to understand user behavior and improve their products. It offers features such as event tracking, session recording, and feature flags, enabling teams to make data-driven decisions and enhance user experiences.
Learn MoreNumerai 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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