I built systemdesigner.net, a free platform for learning and practicing system design, ML systems, and GenAI architectures.

I originally built it for myself while preparing for system design and ML/AI interviews. I realized my workflow was a mess: reading a blog here, watching a video there, taking notes in Google Docs, and drawing diagrams in entirely different tools. When mentoring engineers I saw the same problem. I wanted a single platform where the material, the practice problems, and the diagramming were part of one continuous loop rather than scattered across the internet.

Here’s what it does today:

- Guided learning plans you can generate based on what you want to study (distributed systems, ML, LLMs, etc). - Every page has built-in quizzes so you can check understanding immediately. - In-page tools: highlight text, take notes, ask questions, get explanations, or have AI discussions on any concept. - Interactive whiteboards for designing architectures and practicing interview problems. - Projects: you can create full system-design or ML/GenAI problems, including requirements, constraints, back-of-the-envelope calculations, data modeling, etc — or you can have AI auto-generate a complete project from a description.

I'd love feedback from this community:

1. What feels missing or confusing? 2. Which system-design topics or architectures should I add next? 3. What do you think of the Projects feature for practical system design use cases on the job, not just interviews?

Thanks for taking a look. Happy to answer questions as they come.