Frequently Asked Questions

A curated summary of the top questions asked on our Slack community, often relating to implementation, functionality, and building better products generally.
Statsig FAQs

How to initialize Statsig SDK server-side in a Next.js app without a custom server or Vercel deployment?

Integrating the Statsig SDK server-side in a Next.js application without a custom server or Vercel deployment can be achieved by utilizing the register API to initialize the SDK on server startup.

This method allows for the SDK to be set up before serving requests, ensuring that feature flags and configurations are available for server-side rendering. However, it is important to note that the register API may only trigger on the first request received by the server.

To ensure the SDK is initialized, a health check or similar request may be necessary to activate the register process.

Additionally, depending on the hosting solution for the Next.js app, writing a data adapter to read Statsig configurations from a cache could be a viable alternative. This approach would involve creating a custom adapter that interfaces with a caching mechanism to retrieve the necessary configurations for Statsig.

For more detailed guidance on implementing feature flags with Next.js, refer to the official Statsig documentation.

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What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Karandeep Anand
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Partha Sarathi
Director of Engineering
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