Question 1

How did you build a digital wardrobe app in less than 24 hours?

Accepted Answer

I started with a real problem (I keep forgetting what clothes I already own), sketched a quick flow in Miro, then used Lovable to generate the actual web app from prompts. After that, I connected Supabase for data storage so the items don’t disappear on refresh. It’s basically problem → idea → create, but sped up massively.

Question 2

What does the wardrobe app do?

Accepted Answer

I can add clothing items by uploading a photo (or taking one), then save a title and description so it shows up in my closet list. There’s a search that works with natural language—typing things like “sweater,” “hearts,” or even “red” filters based on what I stored. I also added outfit creation so I can save combinations of items.

Question 3

What tech stack did you use for the closet app?

Accepted Answer

Lovable generated the app and codebase, and I used Supabase as the backend for database + authentication. I also connected the project to GitHub so I can clone it locally and make manual changes. The whole point was to ship something working fast, then iterate like a normal build-in-public project.

Question 4

How did you set up Supabase with Lovable?

Accepted Answer

Lovable has integrations, and Supabase is one of them—there’s a step-by-step doc and even a super short video. I created a new Supabase organization/project, then connected it inside Lovable. I did hit random permission issues, but I kept prompting Lovable’s chat to fix it until it finally worked.

Question 5

Does the app support outfit planning?

Accepted Answer

Yes—Lovable actually came up with outfit storage logic, and I built on top of it. I can pick multiple clothing items and save them as an outfit like “autumn party” or “winter black and white.” I’m still debating if outfit names are truly valuable, but the feature works and I’ll decide based on real usage.

Question 6

How does search work in your digital closet app?

Accepted Answer

Search filters based on the text I saved for each item—title, color, and description. So if I stored something as “wine red,” typing “red” still finds it. It’s the kind of “smart enough” search that makes the app actually useful when you’re rushing and packing.

Question 7

Did authentication work, and what issues did you run into?

Accepted Answer

Auth works—I used Supabase auth and tested sign-up/sign-in with a dummy account. Because it was dev, I disabled the email confirmation check in Supabase settings to speed up testing. The annoying part was linking users properly across tables (so you only see your own outfits) and fixing profile/image loading bugs.

Question 8

Are you releasing the code for the wardrobe app?

Accepted Answer

I pushed the project to GitHub through Lovable, and it created a repo automatically with the full codebase. It’s private for now because I want to double-check and clean things up. Once it’s less chaotic, I can make it shareable—and I also want to add image recognition so I don’t have to manually type everything.

i had nothing to wear. so i coded an app.

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