Statsig converts the events from your experiments and application events to deliver trustworthy results at your fingertips. This data infrastructure is designed to capture the precision and scale that you expect from applications with users from thousands to billions of end-users.
At Statsig, we invest in building reliable data infrastructure and computing trustworthy results so that you don't have to carry a pager and drown in pipeline hell everyday. Our data scientists craft these pipelines with care and precision so that you can trust the results and have the peace of mind to focus on finding more opportunities for your business.
Statsig SDKs are designed to power high availability for all your applications, no matter where you want to deploy your experiments: client applications or backend servers. You can also call the Statsig HTTP APIs to prototype or test your code.
Statsig's client and server SDKs are open source and written to have little to no impact on your application. Once initialized, these SDKs have the ability to operate offline without needing to repeatedly make network connections, so your application enjoys high availability regardless of last mile connectivity to Statsig. If your experiment configuration isn't yet set, the application receives a default value without impacting your end-experience.
Inspired by Facebook’s Deltoid and Quick Experiments (QE), Statsig's user interface surfaces the most important information for you to make the faster and better product decisions using real data about how your users engage with your application.
From executives to product managers and engineers, every member of your team can see the true impact of new features and experiments on Statsig, regardless of their data science expertise. This empowers every team member to make decisions and take action without calling meetings, writing long narratives, or building 'organizational alignment'.
Connect with our data scientists and engineers, and ask questions or just hang out with other cool folks that believe in an experimentation culture!