Product: Feeds

TikTok is one of the most popular apps in the world, ranking as the second most downloaded app globally. Its rapid rise is fueled by high engagement rates, averaging 2.80% in the first half of 2025 and still climbing. Numbers like these explain why so many teams want to build TikTok-style feeds, not just to

An activity feed is an in-app feature that can take many forms, such as a news feed, content recommendations, or timeline in social and community-based applications. You can find activity feeds in social platforms like Facebook (news feed), X (timeline and notification), Reddit (comments and upvotes), and TikTok (endless scrolling videos). When successfully integrated, activity

In the world of real-time content experiences, user engagement, community, and retention metrics reign supreme. Fortunately, you can elevate your UX and improve KPIs that mean the most to your app with Stream's Activity Feed API and SDKs. Our reusable components are easy to integrate, require little to no maintenance, and, most importantly, can scale

Apps use Stream's Activity Feeds API with hundreds to millions of users. Today, we're excited to share the third iteration of our Feeds API, Feeds v3, which builds on our scalability and expands our Activity Feeds API to include popular community features like for-you feeds, client-side SDKs, comments, activity expiration, and more—all while being 30%

It should be no surprise that some of the world’s most popular apps contain an activity feed as their core functionality. This comprehensive guide is a crash course in activity feed types, activity feed benefits and best practices, and real-world activity feed examples and use cases. We’ll also explore how you can quickly integrate a

Today, we are incredibly excited to announce the beta release of Stream’s Feeds SDK for Flutter 🥳. Stream’s Activity Feed API was built by developers, for developers to make their lives easier by not having to worry about scalability, maintenance, and reliability of a complex feed infrastructure. By leveraging Stream’s API or integrating our libraries

Personalization comes in many flavors, and the data science team at Stream can help you build your own feeds personalization engine based on your specific needs. In conjunction with our analytics client we recommend tracking every event for every user, such as clicking on a link) we use both engagement and feed data to power

There are many feed use cases where it’s important to show updates in real-time. If a feed has thousands or even millions of followers, this can be pretty hard to do. Over the past months, our team has vastly improved the capacity of our real-time infrastructure, allowing you to: Show live activities for a sporting