Whatnot Integrations

Elevate your feature flags and experiments to accelerate your product's growth with a powerful statistical engine. By employing product observability, you can integrate experimentation with real-time analytics, providing a holistic view of both product and business performance. Now, for the first time, you can pinpoint which features are truly impacting your key business metrics, transitioning from simply tracking events and clicks to deeper insights. Statsig delivers a complete solution for all your experimentation requirements through a cohesive platform that connects your initiatives to the results they yield. This enables A/B testing and experimentation across various devices, application layers, and scales. With Statsig, you gain an all-encompassing 360° view of your product’s performance, empowering developers to make data-driven choices. By implementing comprehensive observability for every product update, ranging from system performance to user engagement, Statsig allows developers to relay critical data to their teams, facilitating informed decision-making regarding the product. This methodology not only enhances clarity but also propels continuous advancements in product development strategies, ensuring that teams can adapt and respond to user needs effectively. Through rigorous analysis and feedback loops, the potential for innovation within your product offering becomes limitless.

LiveKit serves as a dynamic platform for real-time communication, enabling developers to seamlessly incorporate video, voice, and data capabilities into their applications. By leveraging WebRTC technology, it supports a diverse range of frontend and backend frameworks. The platform’s network architecture is carefully crafted to deliver ultra-low latency, remarkable resilience, and the ability to scale extensively. With a globally distributed team managing an infrastructure that handles billions of audio and video minutes each month, LiveKit showcases its vast operational reach. It provides SDK support for all major platforms, allowing developers to customize their applications with a LiveKit client that is specifically designed for their preferred environment. Additionally, LiveKit offers the option for self-hosting at no expense, with no changes needed to existing code, since all tools and services operate under the Apache 2.0 open-source license. Among its many features, LiveKit includes single sign-on (SSO), role-based access control (RBAC), robust security features like end-to-end encryption, and tools for noise and echo cancellation, session recording, stream ingestion, and moderation, making it an excellent option for developers seeking comprehensive solutions. Overall, LiveKit emerges as a versatile and powerful choice for real-time communication needs, equipping developers with everything required to create highly engaging applications and foster robust user interactions.

Experience resilient data engineering workflows without the burdens of managing infrastructure. By leveraging simple yet modular Python code, you can effortlessly create complex streaming, scheduling, and data backfill pipelines. Shift away from conventional ETL practices and gain immediate access to your data, no matter how intricate it may be. Integrate deep learning and large language models seamlessly with structured business datasets, thereby improving your decision-making processes. Boost your forecasting precision by utilizing real-time data, cutting down on vendor data pre-fetching costs, and enabling prompt queries for online predictions. Experiment with your concepts in Jupyter notebooks prior to deploying them in a live setting. Prevent inconsistencies between training and operational data while crafting new workflows in just milliseconds. Keep a vigilant eye on all your data activities in real-time, allowing you to easily monitor usage and uphold data integrity. Gain complete transparency over everything you have processed and the capability to replay data whenever necessary. Integrate effortlessly with existing tools and deploy on your infrastructure while establishing and enforcing withdrawal limits with customized hold durations. With these capabilities, not only can you enhance productivity, but you can also ensure that operations across your data ecosystem are both efficient and smooth, ultimately driving better outcomes for your organization. Such advancements in data management lead to a more agile and responsive business environment.