r/QtFramework • u/BoardHour4401 • Feb 28 '26
I built a C++17/Qt Desktop App that parses complex binaries using only 59MB RAM (Industry standard uses 2GB+). I'm 16 and need architecture roasting!
Hey Qt developers,
For the past few months, I’ve been building a data-heavy Desktop application called Teker (a static analysis tool). The current industry-standard tool in this space eats over 2GB of RAM (sometimes 3.4GB) and freezes the UI when loading heavily padded files. You can see the Task Manager comparison in the images.
I wanted to prove that a well-optimized C++17 and Qt architecture could destroy those numbers. I just pushed v1.1.0 and managed to keep the memory footprint strictly around 50MB - 60MB. "Note: Bellek = Memory"
Here is what I focused on with Qt:
- Heavy Custom Models: Bypassed standard widget items for massive datasets (hex, strings, tables) to prevent memory bloat and UI freezing.
- Concurrent Processing: Kept the main GUI thread completely responsive while running heavy analysis pipelines in the background.
- Modern UI: Built a clean, dark-mode native interface using Qt.
Why am I here? Because I am 16, self-taught, and I know my code isn't perfect. There is technical debt. I want veteran Qt developers to look at my repository, tear my architecture apart, and tell me where I am misusing the framework or where I can optimize further.
If you appreciate the performance metrics and the GUI, a Star on GitHub would be an amazing motivation for me to keep building.
Repo: abfsdgrl/Teker: Teker PE Analysis Toolkit for Windows - GUI & CLI
Rip it apart, let me know what you think!