diff --git a/README.md b/README.md
index 832e42bd74..01a156c358 100644
--- a/README.md
+++ b/README.md
@@ -31,6 +31,8 @@ Simple installation from PyPI
 pip install pytorch-lightning  
 ```
 
+[LIVE COLAB DEMO](https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=HOk9c4_35FKg)
+
 ## Docs   
 **[View the docs here](https://williamfalcon.github.io/pytorch-lightning/)**
 
@@ -68,8 +70,6 @@ Lightning sets up all the boilerplate state-of-the-art training for you so you c
 ## How do I do use it?   
 Think about Lightning as refactoring your research code instead of using a new framework. The research code goes into a [LightningModule](https://williamfalcon.github.io/pytorch-lightning/LightningModule/RequiredTrainerInterface/) which you fit using a Trainer.
 
-[Try this live demo on colab!](https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=HOk9c4_35FKg)
-
 The LightningModule defines a *system* such as seq-2-seq, GAN, etc... It can ALSO define a simple classifier such as the example below.     
 
 To use lightning do 2 things: