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
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GENERAL

Can we use the Server API Key with the TypeScript Statsig Client for Server-Side Rendering?

Date of slack thread: 4/16/24

Anonymous: Hi, my team will be utilizing the TypeScript statsig client on the backend (we are doing server side rendering for this project). Can we initialize our client using the server api key, or are we required to use client api key? My understanding is that the server api key is less restrictive, so I think that that would be preferable. I ask because we previously had issues using the server api key for a javascript project, and the documentation seems to suggest we must use the client api key.

Tore (Statsig): Im not sure what you mean by “TypeScript statsig client.” We offer a statsig-node, and statsig-js sdk. The statsig-node sdk requires a server secret to generate values to do server side rendering for your statsig-js or statsig-react front end sdk. Does that help?

Anonymous: Sorry. I was referring to the statsig-js sdk–we are using that. I assume we can initialize that with the server secret? We had issues in the past doing that. Just want to verify that we should expect that to work.

Tore (Statsig): No, you wont be able to use that with the server secret key. You’ll need statsig-node for that. If you are trying to do SSR, you need both a server and a client SDK. The server SDK generates the values for the client.

Anonymous: Hmm…I don’t believe we are using node for our backend. We are using next-js, which works with TypeScript. My understanding is we will have to use statsig-js-sdk there, no?

Tore (Statsig): next-js uses node on the server side, so you should be good to go. We use next-js for our web console, with our node SDK and react SDK.

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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.
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Dave Cummings
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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.
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Karandeep Anand
President
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.
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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.
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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.
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Partha Sarathi
Director of Engineering
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