GrowthBook (YC W22)

www.growthbook.io

GrowthBook is an open source feature flagging and A/B testing platform to help companies release code and measure the impact with their own data. Our platform gives any company the power of a customized release and A/B testing solution like those used by Netflix, Pinterest, Uber, etc. GrowthBook is an in-house flagging and experimentation platform you don't have to build. Integration: GrowthBook is warehouse native - we tie into your existing data infrastructure. We support most SQL based data sources, and even Google Analytics and Mixpanel. You can A/B test anywhere you can get data: web, mobile app, ML, email, etc. Effectiveness: Tools built based on best practices. Our SDKs support modern development processes, and are absurdly fast and easy to use. You can create a common metric store with SQL or YML. Our statistics engine is robust and understandable by non technical folks. We also give data teams full transparency into results- you can even export results as SQL or as a Jupyter notebook. Documentation: Searchable and shareable library of past tests. Capture institutional knowledge gained from experimentation. No more lost conversations or searching through Google Docs. Data & Security: User data never leaves the companies data infrastructure- you can even host it yourself. Compliant with PCI Data Security Standards

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Reach decision makers at GrowthBook (YC W22)

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GrowthBook is an open source feature flagging and A/B testing platform to help companies release code and measure the impact with their own data. Our platform gives any company the power of a customized release and A/B testing solution like those used by Netflix, Pinterest, Uber, etc. GrowthBook is an in-house flagging and experimentation platform you don't have to build. Integration: GrowthBook is warehouse native - we tie into your existing data infrastructure. We support most SQL based data sources, and even Google Analytics and Mixpanel. You can A/B test anywhere you can get data: web, mobile app, ML, email, etc. Effectiveness: Tools built based on best practices. Our SDKs support modern development processes, and are absurdly fast and easy to use. You can create a common metric store with SQL or YML. Our statistics engine is robust and understandable by non technical folks. We also give data teams full transparency into results- you can even export results as SQL or as a Jupyter notebook. Documentation: Searchable and shareable library of past tests. Capture institutional knowledge gained from experimentation. No more lost conversations or searching through Google Docs. Data & Security: User data never leaves the companies data infrastructure- you can even host it yourself. Compliant with PCI Data Security Standards

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Country

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State

California

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City (Headquarters)

Palo Alto

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Employees

1-10

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Potential Decision Makers

  • Co - Founder and Chief Technology Officer

    Email ****** @****.com
    Phone (***) ****-****
  • Co - Founder and Chief Executive Officer

    Email ****** @****.com
    Phone (***) ****-****
  • Software Engineer

    Email ****** @****.com
    Phone (***) ****-****
  • Senior Software Engineer

    Email ****** @****.com
    Phone (***) ****-****

Technologies

(24)

  • amazon route 53
  • google universal analytics
  • amazon cloudfront
  • View all (24)

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