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This tool built with Lovable might reach 1.6M users

I started vibe-coding out of curiosity. I used it get buy-in, pitch ideas, eventually to be lead designer on the same real life project

Finding a real problem

Finding a real problem

I noticed that many teams internally and the users externally were struggling to manage physical inventory. They didn’t know:

  • Who had what

  • Where it was

  • If it needed maintenance

Everything lived in spreadsheets or long email threads.

Everything lived in spreadsheets or long email threads.
Step 1

Building Inventory Management tool

Building Inventory Management tool

So I built an Inventory Management App using Lovable.
It had:

  • Map view

  • Address validation

  • Real-time photos

  • Check-in and check-out tracking

Step 2

Created a demo

Created a demo

I recorded a demo in Teams explaining the features and my thought process.T

Impact

I shared a demo to my team and it spread among different teams quickly, and three teams asked to pilot it. Since it looked real, it was easy to show value.

Step 3

Talking to developers

Talking to developers

This is when I realized it wasn’t just a weekend project anymore.
I showed it to a few developers. One said they wouldn’t even review it because it was AI-generated.
Another dev looked at it and said:

“This is solid. If I had to build it, I’d start from this.”

That gave me the confidence to keep going.


Impact

  • I learnt more on code quality

  • Felt happy how the code would further help the developer

Step 4

User research

User research

I interviewed the teams who wanted to use it. I mapped out what they actually needed.
I realized some of the features were nice-to-have. But there was one core use case everyone cared about.

Step 5

Move as a lead designer to the project

Move as a lead designer to the project

A team started working on something similar and they felt my work would add value, so I joined as a lead designer to bring this to production

Impact

  • My work on AI helped me get visibility in different teams

Step 4

AI generated videos to show bigger picture

AI generated videos to show bigger picture

What started as a small project slowly became bigger than we anticipated which would also lead to difficulty in showing the bigger picture to stakeholders. I created AI generate videos using Google Flow and wrote a story and script to show the bigger picture.

Impact

Showing complex topics with fun and memorable format

Last step

Product growth

Product growth

I now work on both visuals and experience of the tool, using the design system in place and being validated, also knowing when ready 3 internal teams and millions of external users will be happy to use

Find what lights you up.
Get good at it.
Promise it.
Deliver it.

That’s the job.
Design’s no different.

Find what lights you up.
Get good at it.
Promise it.
Deliver it.
That’s the job.
Design’s no different.