OFFICIAL RELEASE V2.0 • OPEN SOURCE SOFTWARE

Professional Windows Disk Optimization & RAM Manager

An open-source utility for Windows 10 and 11 engineered to safely reclaim gigabytes of disk space from heavy developer toolchain caches, purge graphics shader pipelines, and flush unused process RAM working sets.

Download for Windows (.exe) Source Code (.zip) GitHub Project

Windows 10 / 11 (64-bit) • Standalone Executable (38.0 MB) • Native Win32 APIs • MIT License

SYSTEM SPECIFICATIONS

Technical Architecture & Engine Matrix

Detailed specification breakdown of the underlying cleanup detectors, Win32 system call integrations, and targeted developer toolchains.

Specification Field	Technical Implementation & Support Details
Target Operating System	Windows 10, Windows 11, Windows Server 2019+ (64-bit Architecture)
Physical RAM Trimming API	Native Win32 `EmptyWorkingSet` process memory management via `psapi.dll`
GPU Shader Pipeline Caches	NVIDIA (`DXCache`, `GLCache`), AMD Radeon (`DxCache`, `OglCache`), DirectX (`D3DSCache`), Intel Arc Graphics
Supported Developer Toolchains	Node.js (NPM, Yarn, PNPM), Python (Pip, PyPI, Poetry, UV), Java (Gradle, Maven), Rust (Cargo), Go (go-build), IDEs (VS Code, JetBrains)
Registry Leftover Cross-Matching	Cross-references `%AppData%` & `%LocalAppData%` paths against HKEY_LOCAL_MACHINE & HKEY_CURRENT_USER Uninstall keys
User Interface Framework	CustomTkinter (Modern Python GUI Toolkit with Dark/Light styling)
Distribution Format	Standalone Portable Binary (Compiled via PyInstaller, single `.exe` file)
Open Source License	MIT License (100% Free, Open Source, and Permissive)
Primary Author	Prakhar Yadav (blazecodeprakhar) — Portfolio Website

SYSTEM MODULES

Core Optimization Capabilities

Designed to address enterprise software build bloat and optimize physical hardware resource utilization.

Win32 RAM & Shader Optimization

Safely reclaims unused process working sets and purges compiled graphics shader caches to optimize system responsiveness.

Forces background processes to release unused physical RAM via EmptyWorkingSet.
Purges compiled shader pipelines for NVIDIA, AMD Radeon, DirectX, and Intel Arc.
Flushes Windows DNS Resolver Cache to eliminate stale network routing entries.

Developer Build Cache Purger

Identifies and cleans accumulated dependency repositories and build artifacts generated by modern software toolchains.

Cleans NPM Cache, Yarn Cache, and global PNPM Store.
Purges Python Pip Wheel caches, PyPI downloads, Poetry, and UV package stores.
Reclaims space from Gradle caches, Maven local repos, Cargo registry, and Go build logs.

Registry App Leftovers & Script Audit

Scans system application data directories for orphaned folders left behind after application uninstallations.

Cross-references %AppData% directories against active Windows Registry entries.
Flags dropped executable scripts (.exe, .bat, .vbs, .ps1) in temporary locations.
Purges web browser cache stores for Chrome, Edge, Brave, and Firefox.

Engine Simulation & Scan Inspector

Execute an interactive simulation of the HyperClean Studio detector pipeline.

// Press "Execute Simulation Scan" to inspect detector execution output...

DEVELOPER DOCUMENTATION

Source Code Execution & Build Steps

Instructions for cloning, running from source using Python 3.10+, and generating standalone executables.

Command Line Interface (PowerShell / Command Prompt) Python 3.10+ Environment

# 1. Clone source repository from GitHub
git clone https://github.com/blazecodeprakhar/hyperclean-studio.git
cd hyperclean-studio

# 2. Install required dependencies
pip install -r requirements.txt

# 3. Launch application GUI
python main.py

# 4. Package standalone executable (.exe)
python build_exe.py

DISTRIBUTION

Download Packages & Assets

Access compiled binaries, complete source code archives, and individual python scripts.

Standalone Executable

HyperCleanStudio.exe • 38.0 MB

Single portable Windows executable. No Python installation required. Compatible with Windows 10 and 11.

Download EXE

Source Archive (.zip)

hyperclean-studio-v2.0-source.zip

Complete codebase archive containing detector modules, UI widgets, build automation scripts, and assets.

Download ZIP

Main Application Script

main.py

Primary entry point script that initializes models, loads detector engines, and launches the CustomTkinter UI.

Download main.py

PyInstaller Build Automation

build_exe.py

Automated build configuration script for packaging the Python codebase into a single standalone .exe file.

Download build_exe.py

Dependencies Manifest

requirements.txt

List of Python dependencies required for running from source, including CustomTkinter and PyWin32.

Download requirements.txt

GitHub Source Repository

blazecodeprakhar/hyperclean-studio

View source history, report issues, submit pull requests, or star the official project repository.

Open Repository

AUTHOR & LEAD DEVELOPER

Created by Prakhar Yadav

Prakhar Yadav

Full-Stack Software Engineer & Cybersecurity Specialist

Prakhar Yadav (blazecodeprakhar) is a Full-Stack Software Engineer, Cybersecurity Specialist, and AI practitioner based in Dehradun, India. He specializes in engineering high-performance desktop utilities, secure web applications, and developer software tools.

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