Back

Katherine Peng

2025

Data to View Tool โ€” End-to-End Build to Live ๐Ÿš€

Breaking My Own Boundary

For years, Iโ€™ve designed complex systems โ€” but always stopped at the โ€œhandoffโ€ stage. This time, I wanted to go beyond mockups and see how far I could take an idea on my own.

So I set myself a challenge: design, build, and launch a live tool โ€” solo โ€” in one week.


The Spark

If youโ€™ve ever opened a JSON file, you know the pain โ€” walls of nested data that make zero sense unless youโ€™re an engineer.

As designers, we constantly deal with APIs, yet we rarely see what weโ€™re designing for. Every project requires multiple dev syncs just to understand what data powers which UI element.

So I decided to fix that.


The Idea

A simple but surprisingly powerful tool:

Drop in a JSON file โ†’ Instantly visualise it as a clean, structured table or card.

No setup, no code, no developer needed.

Perfect for designers, PMs, or anyone who wants to understand data quickly without diving into code.


The Build

  • Design: Started in Figma โ€” minimal, clean, and focused purely on usability.

  • Code: Used Cursor, my new favourite AI-powered coding partner. It helped me translate design components into React in hours, not days.

  • Launch: Deployed to Vercel, fully live, fully functional.

From blank canvas to public link โ€” one week.

The Outcome

This tiny tool solves a real problem:

It saves hours of back-and-forth between design and dev, speeds up data understanding, and brings non-technical teammates into the conversation.

Itโ€™s not just a JSON viewer โ€” itโ€™s a bridge between creativity and logic.


๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป Try It Yourself

Iโ€™d love to hear your thoughts, ideas, or wild use cases โ€” this is my first live mini product, and Iโ€™m just getting started.


Why It Matters to me

For me, this marks a shift:

Iโ€™m no longer just designing products โ€” Iโ€™m building them.

With AI tools like Cursor, the gap between imagination and execution is shrinking fast.


And this is just the beginning. ๐Ÿ˜‰

Turning AI ambition into shippable, trustworthy systems โ€” with design foundations that scale.

Turning AI ambition into shippable, trustworthy systems โ€” with design foundations that scale.

Turning AI ambition into shippable, trustworthy systems โ€” with design foundations that scale.