[README] Add blogpost link (#89)

README.md

@@ -8,7 +8,7 @@
 **Efficient, Flexible and Portable Structured Generation**
 
 
-[Get Started](#get-started) | [Documentation](https://xgrammar.mlc.ai/docs/) <!-- TODO: | [Blogpost](https://blog.mlc.ai/TODO) -->
+[Get Started](#get-started) | [Documentation](https://xgrammar.mlc.ai/docs/) | [Blogpost](https://blog.mlc.ai/2024/11/22/achieving-efficient-flexible-portable-structured-generation-with-xgrammar)
 
 </div>
 
@@ -19,12 +19,7 @@ XGrammar is an open-source library for efficient, flexible, and portable structu
 It supports general context-free grammar to enable a broad range of structures while bringing careful system optimizations to enable fast executions.
 XGrammar features a minimal and portable C++ backend that can be easily integrated into multiple environments and frameworks,
 and is co-designed with the LLM inference engine and enables zero-overhead structured generation in LLM inference.
-<!--
-## Key Features
 
-TODO
-WebLLM reference https://github.com/mlc-ai/web-llm/#key-features, if we want to list key features.
--->
 
 
 ## Get Started
@@ -33,12 +28,3 @@ Please visit our [documentation](https://xgrammar.mlc.ai/docs/) to get started w
 - [Installation](https://xgrammar.mlc.ai/docs/start/install)
 - [Quick start](https://xgrammar.mlc.ai/docs/start/quick_start)
 
-
-<!--
-## Links
-
-TODO
-- [Demo App: WebLLM Chat](https://chat.webllm.ai/)
-- If you want to run LLM on native runtime, check out [MLC-LLM](https://github.com/mlc-ai/mlc-llm)
-- You might also be interested in [Web Stable Diffusion](https://github.com/mlc-ai/web-stable-diffusion/).
--->