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jvmenon

1 karma · joined December 16, 2024

Hardware Engineer - Building Refringence, a hardware upskilling platform.
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jvmenon··on Show HN: Refringence – Learn hardware design by doing projects with an AI mentor
Thank you for taking the time to give a detailed feedback. We have a mix of beginners and experienced users, so your points about clear instructions makes sense, we will definitely see to that.

We are working on beginner-friendly starting points with zero-to-hero roadmaps for each tool and niche. We have basic roadmaps for RISC-V, x86, and embedded C already, and we are adding them for more topics and is also working on developing visual aids to ease the learning process.

Showing the testbench code and expected outputs in task briefs is a great idea. We are working on detailed summaries that explain test inputs and expected outputs in every task brief.

When simulation runs into errors, our AI mentor automatically gives context-aware responses and mini-lessons. We will also add suggested prompts to help new users get started.

If you have any more suggestions or want to share what would help you as a new user, we would love to hear. We are learning and improving continuously.

jvmenon··on Show HN: Refringence – Learn hardware design by doing projects with an AI mentor
Hi HN! My brother and I built Refringence because we found learning hardware design is tough and scattered. Many colleges from where I am from don’t teach it well, and training courses are really expensive and unstructured.

Refringence helps by providing a context AI mentor and a browser-based IDE/playground where you can do h/w challenges and projects, run simulations, and view waveforms, all in one place with no need to install tools.

We’ve started rolling it out gradually and have about 200 users so far. Many say it helps them get unstuck faster compared to juggling multiple separate tools.

We have tried to incorporate practice and challenges for several tools and languages in hardware, like Verilog, RISC-V, x86, MATLAB/Octave, embedded C, and Qiskit for quantum computing. We’re also working on adding digital and analog circuit simulation challenges and have started creating roadmaps for structured learning.

Since we are hardware engineers ourselves and still learning, we are constantly improving the platform. We appreciate your patience with any rough edges. We have focused on making the infrastructure as secure and seamless as possible.

We would love to hear your feedback.