Update README.md

README.md

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-# CosmoEngineProfiler
+# ProfilerLibrary (CE Profiler)
 
 [![CMake on multiple platforms](https://github.com/CyberKoalaStudios/ProfilerLibrary/actions/workflows/cmake-multi-platform.yml/badge.svg)](https://github.com/CyberKoalaStudios/ProfilerLibrary/actions/workflows/cmake-multi-platform.yml)
 
@@ -23,3 +23,28 @@ int anyFunc()
 2. Drag and drop `results.json` into `edge://tracing/`
 3. Happy profiling!
 ![https://github.com/CyberKoalaStudios/ProfilerLibrary/blob/75f43edc2a633bafc3d839b766553fb171ae7e97/screenshots/howto.png](https://github.com/CyberKoalaStudios/ProfilerLibrary/blob/75f43edc2a633bafc3d839b766553fb171ae7e97/screenshots/howto.png)
+
+---
+## Features at a Glance
+* Platform Agnosticism: ProfilerLibrary is designed to seamlessly integrate with various operating systems, from Windows and Linux to macOS, providing a unified profiling experience.
+
+* Minimal Overhead: Worried about the impact on your application's performance? Fear not!  ProfilerLibrary is engineered to impose minimal overhead, ensuring that your profiling efforts don't compromise the performance gains you're aiming for.
+
+* Detailed Insights: Dive deep into your code with ProfilerLibrary's detailed insights. Identify CPU bottlenecks, memory leaks, and other performance issues across different platforms, enabling targeted optimizations.
+
+
+Getting Started with ProfilerLibrary
+Ready to harness the power of cross-platform profiling in your C++ projects? Follow these steps to integrate  ProfilerLibrary into your development workflow:
+
+* Installation: Begin by installing ProfilerLibrary using the provided instructions for your preferred build system.
+
+* Instrumentation: Instrument your code by adding profiling markers where needed.  ProfilerLibrary provides easy-to-use macros or API calls to annotate specific sections of your code for profiling.
+
+* Compile and Run: Rebuild your project with profiling enabled and run it on different platforms. ProfilerLibrary will capture performance data during runtime.
+
+* Analyze Results: Use the profiling results to identify areas for improvement. Tackle performance bottlenecks, optimize critical functions, and enhance your code's efficiency.
+
+### Conclusion
+In the ever-evolving landscape of C++ development, cross-platform profiling is a must-have for those aiming to deliver top-tier performance across diverse environments.  ProfilerLibrary stands out as a reliable ally, offering a comprehensive suite of tools to elevate your code to new heights.
+
+Embrace the power of cross-platform profiling today and watch your C++ applications perform seamlessly across Windows, Linux, macOS, and beyond! Happy coding!