Founder · UX · Shipped Product

CookFromHere

Point your camera at the fridge. Get dinner. A live AI product I designed, built and shipped on my own.

Role
Founder & Designer
Build
React · Supabase
AI
Gemini Vision
Status
Live in production
CookFromHere dashboard
Solo
Design + Build
Live
In Production
39
Ingredients Tracked
4
Core Flows
The Problem

Recipe apps ask the wrong question.

People throw away food they forgot they had, then order takeaway. Every recipe app asks what you want to cook. The useful question is what you can cook, right now, with what's already in the fridge.

The Core Flow

Scan to recipe.

Photo → Gemini Vision identifies the items → recipes filtered by what's actually in the pantry, and by allergies.

Scan ingredients screen
AI Chef recipe suggestions
Designing for AI Failure

The model is wrong sometimes. The UI has to admit it.

Vision models misread blurry shelves and opaque packaging. Instead of hiding that, the scan screen teaches good input before the photo is taken, and every result stays editable afterwards. The AI proposes, the user confirms.

Meal Planning

Five questions, one tap each.

No free-text fields, no blank canvas. Every input is a choice between three or four options, so the plan is generated in under thirty seconds.

Weekly meal plan builder
What I'd Change

Onboarding assumes a stocked pantry.

A new user with an empty pantry sees an empty product. The first-run experience is the next thing I'm rebuilding, starting with a guided first scan instead of a dashboard.

It's live, go break it

Try CookFromHere yourself

Free to start, no card needed.