diff --git a/README.md b/README.md
index 99e40c5..d04e07a 100644
--- a/README.md
+++ b/README.md
@@ -18,7 +18,9 @@ This is a tutorial project of [Pocket Flow](https://github.com/The-Pocket/Pocket
 
 - Check out the [Substack Post Tutorial](https://zacharyhuang.substack.com/p/ai-codebase-knowledge-builder-full) for more!
 
-  **🔸 🎉 Reached Hacker News Front Page** (April 2025) with >800 up‑votes:  [Discussion »](https://news.ycombinator.com/item?id=43739456)
+  **🔸 🎉 Reached Hacker News Front Page** (April 2025) with >900 up‑votes:  [Discussion »](https://news.ycombinator.com/item?id=43739456)
+
+  **🔸 🎊 Online Service Now Live!** (May 2025)  Just paste a GitHub link, no installation needed! [https://code2tutorial.com/](https://code2tutorial.com/)
 
 ## ⭐ Example Results for Popular GitHub Repositories!
 
@@ -123,6 +125,43 @@ This is a tutorial project of [Pocket Flow](https://github.com/The-Pocket/Pocket
 The application will crawl the repository, analyze the codebase structure, generate tutorial content in the specified language, and save the output in the specified directory (default: ./output).
 
 
+<details>
+ 
+<summary> 🐳 <b>Running with Docker</b> </summary>
+
+To run this project in a Docker container, you'll need to pass your API keys as environment variables. 
+
+1. Build the Docker image
+   ```bash
+   docker build -t pocketflow-app .
+   ```
+
+2. Run the container
+
+   You'll need to provide your `GEMINI_API_KEY` for the LLM to function. If you're analyzing private GitHub repositories or want to avoid rate limits, also provide your `GITHUB_TOKEN`.
+   
+   Mount a local directory to `/app/output` inside the container to access the generated tutorials on your host machine.
+   
+   **Example for analyzing a public GitHub repository:**
+   
+   ```bash
+   docker run -it --rm \
+     -e GEMINI_API_KEY="YOUR_GEMINI_API_KEY_HERE" \
+     -v "$(pwd)/output_tutorials":/app/output \
+     pocketflow-app --repo https://github.com/username/repo
+   ```
+   
+   **Example for analyzing a local directory:**
+   
+   ```bash
+   docker run -it --rm \
+     -e GEMINI_API_KEY="YOUR_GEMINI_API_KEY_HERE" \
+     -v "/path/to/your/local_codebase":/app/code_to_analyze \
+     -v "$(pwd)/output_tutorials":/app/output \
+     pocketflow-app --dir /app/code_to_analyze
+   ```
+</details>
+
 ## 💡 Development Tutorial
 
 - I built using [**Agentic Coding**](https://zacharyhuang.substack.com/p/agentic-coding-the-most-fun-way-to), the fastest development paradigm, where humans simply [design](docs/design.md) and agents [code](flow.py).
@@ -139,23 +178,5 @@ The application will crawl the repository, analyze the codebase structure, gener
 </div>
 <br>
 
-## 🐳 Running with Docker
 
-To run this project in a Docker container:
 
-Make sure before building the docker image you need to setup the google api key in utils/call_llm.py.
-
-### 1. Build the Docker image
-  ```bash
-docker build -t pocketflow-app .
-```
-
-### 2.Run the conatainer
-  ```bash
-docker run -it --rm -v <path_to_output_directory>:/app/output pocketflow-app --repo <repository_link>
-
-example:
-
-docker run -it --rm -v C:\Users\srinadh\PocketFlow-Tutorial-Codebase-Knowledge\output:/app/output pocketflow-app --repo https://github.com/srinadhkesineni/CI-CD.git
-
-```