Update README.md

Added Quick State to the main readme file

README.md

@@ -14,6 +14,47 @@
 **FlatBuffers** is a cross platform serialization library architected for
 maximum memory efficiency. It allows you to directly access serialized data without parsing/unpacking it first, while still having great forwards/backwards compatibility.
 
+## Quick Start
+
+1. Build the compiler for flatbuffers (`flatc`)
+
+    Use `cmake` to create the build files for your platform and then perform the compliation (Linux example).
+
+    ```
+    cmake -G "Unix Makefiles"
+    make -j
+    ```
+
+2. Define your flatbuffer schema (`.fbs`)
+
+    Write the [schema](https://flatbuffers.dev/flatbuffers_guide_writing_schema.html) to define the data you want to serialize. See [monster.fbs](https://github.com/google/flatbuffers/blob/master/samples/monster.fbs) for an example.
+
+3. Generate code for your language(s)
+
+    Use the `flatc` compiler to take your schema and generate language-specific code:
+
+    ```
+    ./flatc --cpp --rust monster.fbs
+    ```
+    
+    Which generates `monster_generated.h` and `monster_generated.rs` files.
+
+4. Serialize data
+
+    Use the generated code, as well as the `FlatBufferBuilder` to construct your serialized buffer. ([`C++` example](https://github.com/google/flatbuffers/blob/master/samples/sample_binary.cpp#L24-L56))
+
+5. Transmit/store/save Buffer
+
+    Use your serialized buffer however you want. Send it to someone, save it for later, etc...
+
+6. Read the data
+
+    Use the generated accessors to read the data from the serialized buffer.
+    
+    It doesn't need to be the same language/schema version, FlatBuffers ensures the data is readable across languages and schema versions. See the [`Rust` example](https://github.com/google/flatbuffers/blob/master/samples/sample_binary.rs#L92-L106) reading the data written by `C++`.
+
+## Documentation
+
 **Go to our [landing page][] to browse our documentation.**
 
 ## Supported operating systems