diff --git a/.github/workflows/reset_database.yml b/.github/workflows/reset_database.yml
new file mode 100644
index 0000000..9d9595e
--- /dev/null
+++ b/.github/workflows/reset_database.yml
@@ -0,0 +1,32 @@
+name: reset
+
+on:
+  workflow_dispatch:
+
+jobs:
+  update:
+    name: reset database
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+          cache: 'pip'
+          cache-dependency-path: requirements.txt
+
+      - name: Install dependencies
+        run: pip install -r requirements.txt
+
+      - name: Reset database and set inital recommendations
+        run: |
+          python create_schema.py
+          python update_database.py
+        env:
+          POSTGRES_USER: "${{ secrets.POSTGRES_USER }}"
+          POSTGRES_PASSWORD: "${{ secrets.POSTGRES_PASSWORD }}"
+          POSTGRES_HOST: "${{ secrets.POSTGRES_HOST }}"
+          POSTGRES_DB: "${{ secrets.POSTGRES_DB }}"
diff --git a/.github/workflows/update_recommendations.yml b/.github/workflows/update_recommendations.yml
index e882731..a09dc9a 100644
--- a/.github/workflows/update_recommendations.yml
+++ b/.github/workflows/update_recommendations.yml
@@ -5,7 +5,7 @@ on:
 
 jobs:
   update:
-    name: Update recommendations
+    name: update recommendations
     runs-on: ubuntu-latest
     steps:
       - name: Checkout repository
diff --git a/create_schema.py b/create_schema.py
index ae4b83d..ee24684 100644
--- a/create_schema.py
+++ b/create_schema.py
@@ -9,6 +9,7 @@
 
 import bcrypt
 import pandas as pd
+from dotenv import load_dotenv
 from sqlalchemy.sql import text
 
 from mangoleaf.connection import Connection
@@ -74,7 +75,13 @@ def main():
     dummy_password = bcrypt.hashpw(b"booksandmanga", bcrypt.gensalt()).decode("utf-8")
     passwords = [dummy_password] * len(user_id)
     df = pd.DataFrame(
-        dict(user_id=user_id, username=usernames, password=passwords, full_name=full_names)
+        dict(
+            user_id=user_id,
+            username=usernames,
+            password=passwords,
+            full_name=full_names,
+            registered="2024-07-23",
+        )
     )
     df.to_sql("users", db_engine, if_exists="append", index=False)
 
@@ -95,4 +102,5 @@ def main():
 
 
 if __name__ == "__main__":
+    load_dotenv(".streamlit/secrets.toml")
     main()
diff --git a/mangoleaf/query.py b/mangoleaf/query.py
index b97b03b..b9888d2 100644
--- a/mangoleaf/query.py
+++ b/mangoleaf/query.py
@@ -275,6 +275,29 @@ def next_user_id():
     return int(user_id) + 1 if user_id is not None else 0
 
 
+def list_users_since(date):
+    """
+    List all active users in the database
+
+    Parameters
+    ----------
+    date : str
+        Date to filter users from
+
+    Returns
+    -------
+    user_ids : pd.DataFrame
+        DataFrame with all active users
+    """
+    query = """
+    SELECT user_id FROM users
+    WHERE registered >= %(date)s
+    ORDER BY registered ASC
+    """
+    user_ids = pd.read_sql(query, Connection().get(), params=dict(date=date)).user_id.to_list()
+    return user_ids
+
+
 def register_user(username, password):
     """
     Register a new user in the database
diff --git a/update_database.py b/update_database.py
index 935e052..9583cdb 100644
--- a/update_database.py
+++ b/update_database.py
@@ -2,7 +2,9 @@
 Update the dynamic data with the latest recommendations
 """
 
-from mangoleaf import Connection, recommend
+from dotenv import load_dotenv
+
+from mangoleaf import Connection, query, recommend
 
 
 def update_database(users, n=40, count_threshold=50):
@@ -23,15 +25,20 @@ def update_database(users, n=40, count_threshold=50):
 
 
 if __name__ == "__main__":
+    load_dotenv(".streamlit/secrets.toml")
+
     # Selected users for user-based recommendations
     users = [
-        # Mangas
+        # Manga example users
         1002,
         357,
         2507,
-        # Books
+        # Book example users
         114368,
         95359,
         104636,
     ]
+    new_users = query.list_users_since("2024-08-01")
+    users += new_users
+
     update_database(users, 40, 50)