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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 roll back to the previous Statsig API domains due to client access issues?

Date of slack thread: 5/17/24

Anonymous: Hello. Since the statsig API domains changed from featuregates.org to featureassets.org it appears we might have some of our enterprise clients that may be blocking these domains or cannot access them for some other reason. Can we roll back to the previous domains and will these continue to be supported?

Anonymous: The document does not indicate the old domains being deprecated, can someone confirm that is the case.

Anonymous: And if there is any other reason not to use the old domains.

Eric (Statsig): Hey - this change is captured in our change log as a breaking change denoted by the full version bump: https://github.com/statsig-io/js-client/releases

We are currently continuing support for the old domains, so you should have no concern about that. We will send out messaging if we deprecate the old ones.

To override, if you want to change it back, you can update StatsigOptions and override api: https://docs.statsig.com/client/jsClientSDK#statsig-options

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What builders love about us

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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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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
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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
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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
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