diff --git a/docs/source/index.rst b/docs/source/index.rst
index 53f64fd..9574eaa 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -66,6 +66,15 @@
 
   Feast is an open-source feature store for production ML. Learn how you can use ScyllaDB with Feast.
 
+.. topic-box::
+  :title: How Medium is using ScyllaDB for feature stores
+  :link: https://medium.engineering/scylladb-implementation-lists-in-mediums-feature-store-part-2-905299c89392
+  :icon: scylla-icon scylla-icon--circe
+  :class: large-4
+  :anchor: Read more
+
+  Learn how Medium is using ScyllaDB to build a fast and scalable feature store.
+
 .. raw:: html
 
   </div></div></div>
diff --git a/readme.md b/readme.md
index 6bfa341..437e59b 100644
--- a/readme.md
+++ b/readme.md
@@ -11,6 +11,7 @@ ScyllaDB is a real-time high-throughput NoSQL database that is best suited for f
 * **High-throughput**: Training requires huge amounts of data and processing large datasets with many millions of operations per second - something that ScyllaDB excels at.
 * **Large-scale**: ScyllaDB can handle petabytes of data while still providing great performance.
 
+Read how [Medium is using ScyllaDB](https://medium.engineering/scylladb-implementation-lists-in-mediums-feature-store-part-2-905299c89392) as a feature store.
 
 # Get started