diff --git a/docs/posts/flink-announcement/index.qmd b/docs/posts/flink-announcement/index.qmd
index 980d4dc6899b..26fe28631754 100644
--- a/docs/posts/flink-announcement/index.qmd
+++ b/docs/posts/flink-announcement/index.qmd
@@ -66,15 +66,15 @@ pixi add ibis-flink
 
 ## Spinning up the services using Docker Compose
 
-The [ibis-project/ibis-flink-example GitHub
-repository](https://github.com/ibis-project/ibis-flink-example) includes the
+The [ibis-project/realtime-fraud-detection GitHub
+repository](https://github.com/ibis-project/realtime-fraud-detection) includes the
 relevant Docker Compose configuration for this tutorial. Clone the repository,
 and run `docker compose up` from the cloned directory to create Kafka topics,
 generate sample data, and launch a Flink cluster:
 
 ```bash
-git clone https://github.com/claypotai/ibis-flink-example.git
-cd ibis-flink-example
+git clone https://github.com/claypotai/realtime-fraud-detection.git
+cd realtime-fraud-detection
 docker compose up
 ```
 
@@ -88,12 +88,12 @@ After a few seconds, you should see messages indicating your Kafka environment
 is ready:
 
 ```bash
-ibis-flink-example-init-kafka-1      | Successfully created the following topics:
-ibis-flink-example-init-kafka-1      | payment_msg
-ibis-flink-example-init-kafka-1      | sink
-ibis-flink-example-init-kafka-1 exited with code 0
-ibis-flink-example-data-generator-1  | Connected to Kafka
-ibis-flink-example-data-generator-1  | Producing 20000 records to Kafka topic payment_msg
+realtime-fraud-detection-init-kafka-1      | Successfully created the following topics:
+realtime-fraud-detection-init-kafka-1      | payment_msg
+realtime-fraud-detection-init-kafka-1      | sink
+realtime-fraud-detection-init-kafka-1 exited with code 0
+realtime-fraud-detection-data-generator-1  | Connected to Kafka
+realtime-fraud-detection-data-generator-1  | Producing 20000 records to Kafka topic payment_msg
 ```
 
 This example uses mock payments data. The `payment_msg` Kafka topic contains
diff --git a/docs/posts/unified-stream-batch/index.qmd b/docs/posts/unified-stream-batch/index.qmd
index 3d38c3894b6c..0851e5254ef5 100644
--- a/docs/posts/unified-stream-batch/index.qmd
+++ b/docs/posts/unified-stream-batch/index.qmd
@@ -172,7 +172,7 @@ website](https://docs.docker.com/compose/install/).
 * Follow [the setup
 tutorial](../../tutorials/open-source-software/apache-flink/0_setup.qmd) to
 install the Flink backend for Ibis.
-* Clone the [example repository](https://github.com/ibis-project/ibis-flink-example).
+* Clone the [example repository](https://github.com/ibis-project/realtime-fraud-detection).
 :::
 
 ::: {.callout-note}
@@ -199,8 +199,8 @@ would extract a chunk of the data and load it in batch:
 # | code-fold: true
 # | include: false
 !pip install apache-flink kafka-python
-!git clone https://github.com/ibis-project/ibis-flink-example
-!cd ibis-flink-example && docker compose up kafka init-kafka data-generator -d && sleep 10 && cd ..
+!git clone https://github.com/ibis-project/realtime-fraud-detection
+!cd realtime-fraud-detection && docker compose up kafka init-kafka data-generator -d && sleep 10 && cd ..
 ```
 
 ```{python}