diff --git a/www-root/userapi/demos/index.json b/www-root/userapi/demos/index.json
index 6d496d6a901ca796a24b30e59f88f17f20c45221..82fe0a0574245150d6b7d109d5b6e29191675f99 100644
--- a/www-root/userapi/demos/index.json
+++ b/www-root/userapi/demos/index.json
@@ -363,7 +363,7 @@
         ],
         "created_at": "",
         "description": "In this tutorial we will be using a machine learning method (clustering) to analyse results of Grain Boundary (GB) calculations of alpha-iron. Along the way we will learn about different methods to describe local atomic environment in order to calculate properties of GBs. We will use these properties to separate the different regions of the GB using clustering methods. Finally we will determine how the energy of the GB is changing according to the angle difference of the regions.",
-        "editLink": "/jupyter/cM/start/data/shared/afekete/tutorial/GB_tutorial_Berlin_2017.ipynb",
+        "editLink": "/jupyterhub/hub/user-redirect/notebooks/tutorials/grain_boundaries/grain_boundaries.ipynb",
         "featured": true,
         "isPublic": true,
         "labels": {