diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml
index 35812a4c239..cf99226cede 100644
--- a/.github/workflows/cd.yml
+++ b/.github/workflows/cd.yml
@@ -17,7 +17,6 @@ jobs:
           fetch-depth: 100
       - name: Pre-release (.devN)
         run: |
-           echo "hello"
           git fetch --depth=1 origin +refs/tags/*:refs/tags/*
           pip install twine wheel
           ./scripts/release.sh
diff --git a/README.md b/README.md
index d86d6df1f71..4f2d84bd70f 100644
--- a/README.md
+++ b/README.md
@@ -740,7 +740,6 @@ Just like a vanilla Pydantic model!
   <summary>Click to expand</summary>
 
 If you came across DocArray as a universal vector database client, you can best think of it as **a new kind of ORM for vector databases**.
-
 DocArray's job is to take multi-modal, nested and domain-specific data and to map it to a vector database,
 store it there, and thus make it searchable: