diff --git a/README.md b/README.md
index 8b8f69b..88e23ed 100644
--- a/README.md
+++ b/README.md
@@ -27,23 +27,23 @@ Generate a backend and frontend stack using Python, including interactive API do
* Full **Docker** integration (Docker based).
* Docker Swarm Mode deployment.
-* **Docker Compose** integration and optimization for local development
+* **Docker Compose** integration and optimization for local development.
* **Production ready** Python web server using Uvicorn and Gunicorn.
-* Python **[FastAPI](https://github.com/tiangolo/fastapi)** backend:
+* Python **FastAPI** backend:
* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic).
* **Intuitive**: Great editor support. Completion everywhere. Less time debugging.
* **Easy**: Designed to be easy to use and learn. Less time reading docs.
* **Short**: Minimize code duplication. Multiple features from each parameter declaration.
* **Robust**: Get production-ready code. With automatic interactive documentation.
- * **Standards-based**: Based on (and fully compatible with) the open standards for APIs: OpenAPI and JSON Schema.
- * [**Many other features**](https://github.com/tiangolo/fastapi) including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc.
+ * **Standards-based**: Based on (and fully compatible with) the open standards for APIs: OpenAPI and JSON Schema.
+ * **Many other features** including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc.
* **Secure password** hashing by default.
* **JWT token** authentication.
* **SQLAlchemy** models (independent of Flask extensions, so they can be used with Celery workers directly).
* Basic starting models for users (modify and remove as you need).
* **Alembic** migrations.
* **CORS** (Cross Origin Resource Sharing).
-* **Celery** worker that can import and use models and code from the rest of the backend selectively (you don't have to install the complete app in each worker).
+* **Celery** worker that can import and use models and code from the rest of the backend selectively.
* REST backend tests based on **Pytest**, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time (so you can use ElasticSearch, MongoDB, CouchDB, or whatever you want, and just test that the API works).
* Easy Python integration with **Jupyter Kernels** for remote or in-Docker development with extensions like Atom Hydrogen or Visual Studio Code Jupyter.
* **Vue** frontend: