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Example ranking methods for your feeds

In this short tutorial we will show you how to use Custom Ranking for your activity streams and news feeds. By default all feeds on Stream are ranked chronologically. Custom ranking allows you to take full control over how your feeds are sorted. Some common...

Android example Photo Sharing app

Introduction We’re covering some “best practice” examples of how to set up a mobile application powered with Stream APIs. We’re happy to announce that after several weeks of development and testing that we have an Android example to share. As with all of our example code,...

Best Practices for Instagram-style Feeds

Introduction As part of our "best practices" series, we wanted to describe our best practices for setting up feeds for a simple photo sharing application. These feeds allow users to upload photos, follow other users, like photos, and see notification and aggregated feeds. Of course, how you...

Go client beta

Go client library for Feeds and Activities (beta)

Introduction Open-source development has played a big part in our company history, so it is with great pleasure that we announce an official Go client library for GetStream.io. Two community-led projects were adapted to produce this library. We are releasing this library as version 0.9.0, and flagging...

Sportlobster fuel your passion for sports

Case Study – Sportlobster & Stream

The No.1 Online Sports Community The Customer Sportlobster is the platform that fuels your passion for sport. It allows you to join the conversation with fellow sports fans, discussing the hot topics around the teams and sports stars that matter to you. Being on Sportlobster keeps you...

Case Study – Bandsintown & Stream

Feeds for 25 Million Users The Customer Bandsintown simplifies concert discovery by allowing you to track your favorite artists, receive alerts when they are touring near you, keep track of which shows you have RSVP’d to, and share concert details with your friends. Bandsintown was founded in...

Fast Recommendations for Activity Streams Using Vowpal Wabbit

The problem of content discovery and recommendation is very common in many machine learning applications: social networks, news aggregators and search engines are constantly updating and tweaking their algorithms to give individual users a unique experience.  Personalization engines suggest relevant content with the objective of maximizing a specific metric....

Stream Raises $1.75M Seed Round

Stream is excited to announce that we have raised $1.75m from Brad Feld/FGAngels, Techstars Ventures, Tahoma Ventures, Social Starts, Galvanize, Dharmesh Shah, Wayne Chang, Jud Valeski, Kyle Wild, James Powell and others....