A frontier of open-source innovation in AI, quantum tech, and intelligent simulations
OpenQQuantify is a community-first tech organization devoted to building open-source tools that bridge the gap between complex scientific concepts and real-world application. Our work sits at the intersection of:
- Artificial Intelligence (AI)
- Quantum Computing
- Real-Time System Monitoring
- Digital Twins & 3D Simulation
- Electronics and RF Analysis
We don’t just build software—we build learning platforms, experimentation toolkits, and frameworks designed to empower developers, researchers, engineers, and dreamers from all walks of life.
Founded by Paul Savluc, OpenQQuantify is more than a GitHub organization—it's a movement to make deep tech transparent, collaborative, and impactful.
“To unlock the power of emerging technologies through open-source solutions, immersive tools, and a community-driven approach.”
We aim to help people learn by building—and to enable creators to explore, experiment, and contribute to projects that simulate the real complexity of the world, from digital electronics to AI-generated schematics.
This was our very first launch—a deep-dive tool into Windows internals, designed to automate WinDbg operations and monitor CPU behavior and process activity.
Purpose:
To help developers, reverse engineers, and cybersecurity enthusiasts visualize and control how their software interacts with the Windows kernel.
Features:
- Automated WinDbg commands
- CPU/thread analysis
- Snapshot and trace generation
- Developer-friendly documentation
Who it's for:
Windows developers, kernel-level debuggers, malware analysts, and anyone curious about what’s really happening inside the OS.
A lightweight Python tool that brings Linux process monitoring into the hands of both beginners and experts. It provides insights into how your machine runs, which processes dominate memory or CPU, and how you can interact with them efficiently.
Purpose:
To help users understand process-level performance on Linux, and build scripts or tools for system health, automation, or diagnostics.
Features:
- Cross-platform command line interface
- Detailed CPU/memory analysis
- Real-time updates
- Pythonic API for integration in larger projects
An early step toward our vision of automated electronics analysis, this tool reads and interprets radio frequency signals—making RF analysis accessible for students, makers, and engineers without costly lab gear.
Purpose:
To simulate and visualize RF data streams for experimentation and education.
Features:
- Signal capture and FFT analysis
- Basic modulation recognition
- Plotting for educational purposes
- Lightweight Python framework
Our current roadmap includes:
- ✨ AI-powered schematic generators using LLMs (OpenAI, LLaMA, Mistral)
- 🛠️ Text-to-electronics simulation tools
- 🌌 3D environments that visualize electronics in space, underwater, or inside industrial systems
- 📚 Open educational content for STEM students and tech educators
Stay tuned—these projects will be released in open alpha, and you’ll be able to contribute, test, and shape them with us.
We welcome developers, students, scientists, hobbyists, and the tech-curious.
If you’re passionate about tech and believe in the power of open source, let’s collaborate:
- 🌍 Website: openqquantify.com
- 📫 Email: [email protected]
- 💼 Founder: Paul Savluc
- 🔗 LinkedIn: OpenQQuantify
- 🧠 YouTube Podcast: Behind the Vision
All projects are licensed under the MIT License—because technology should be shared, remixed, and improved by everyone.
OpenQQuantify is where high-tech becomes human.
Where AI, quantum, and simulation meet curiosity, collaboration, and creativity.
And you're invited.