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Peak Velocity

The Statsig Blog. Peak Velocity covers the latest in feature management, experimentation, analytics, and more

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Jiakan Wang

Enterprise Engineering, Statsig

Jiakan Wang is currently the Engineering Lead at Statsig, where he focuses on helping customers succeed with Statsig by providing training, managing feature requests, and handling support tickets. A member of the founding team, Jiakan also played a role in developing Statsig's SDKs.

Prior to joining Statsig, Jiakan worked for Facebook for 4 years as a Software Engineer, where he served as a Tech Lead on the FB Gaming team, with a focus on growing instant games, which later included cloud gaming.

Before his time at Facebook, he worked at Microsoft for nearly 4 years as a Software Engineer, specializing in building tools for Bing's ML teams. Jiakan also worked as a Teaching Assistant at Kalamazoo College and had an internship as a Software Development Engineering Intern at Amazon, where he worked on the Fire Phone project.

When he's not working, Jiakan loves spending time in nature and can be found posting pictures on his Instagram taken from the summits of difficult mountains to climb.

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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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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.
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Karandeep Anand
CPO
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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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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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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Director of Engineering
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