“I was tired, hungry, and out of ideas — so I created Mealzy.”
Mealzy was born from the chaos of grad school life — and the everyday struggle of feeding my family while juggling everything else.
I remember this one evening vividly — I had just returned home after a long day of classes and a 90-minute commute. My toddler was asking for something to eat, the kitchen was a mess, and I still had no idea what to cook or pack for the next day. I sat down, opened the fridge, closed it again, and thought:
“Can someone just tell me what to cook based on what I have and what my family likes?”
That one thought lingered in my mind longer than I expected. Between lectures, bus rides, and bedtime stories, I found myself scribbling down what would eventually become the foundation for Mealzy — a meal planning assistant that thinks the way busy people do.
I had tried meal planning apps before. Plenty of them. But nothing quite worked.
Some gave me recipes that were too complex or didn’t suit my family`s tastes. Some assumed I had an hour to cook every night (spoiler: I didn’t). And others just lacked flexibility — I couldn’t customize them based on my family’s dietary needs, spice preferences, or even how much time I had that day. That’s when I knew I had to build something of my own. I’ve always worked in product marketing, but I’ve been endlessly curious about how tech products are built from the ground up. So I started learning.
With no engineering support, I took the leap to build Mealzy on my own — blending passion, product curiosity, and a desire to explore new tools with the power of AI to bring the idea to life. I began developing a cross-platform MVP (minimum viable product) using tools like React Native, Expo Go, and Supabase, enabling support for iOS, Android, and web platforms with a single codebase. To personalize meal suggestions, I integrated OpenAI and DeepSeek, leveraging large language models (LLMs) to automate recommendations based on preferences like cuisine, dietary needs, and household size.
As the logic and data handling became increasingly complex, I transitioned to building Mealzy as a custom GPT — delivering the same thoughtful, personalized experience in a faster and more accessible format.
This journey took me beyond marketing — into building, testing, and refining a real product experience from the ground up using modern, AI-powered technologies.
Now, Mealzy is more than an idea — it’s your personalized meal planning buddy.
Whether you're a parent rushing between work and school, a student tired of instant noodles, or even someone who’s super planned and just wants variety, Mealzy helps you:
Pick meals based on your dietary preferences (veg, vegan, non-veg)
Adjust plans based on household size (kids, adults, seniors)
Select meals from regional cuisines (Tamil, Andhra, Punjabi, Tex-Mex, Korean… and much more!
Filter for allergies, dislikes, and even mood-based eating.
