I have always loved trying new restaurants, but I often found myself spending more time deciding what to eat than actually eating. Every outing turned into a long scroll through maps, reviews, and menus. It felt like there should be an easier way to discover great food without the endless searching.

That is what inspired me to build Yumway.

Yumway helps people decide what to eat faster. Instead of getting lost in reviews and options, users get smart, personalized suggestions based on their cravings, location, and preferences. The goal is simple: spend less time thinking and more time enjoying good food.

Food discovery apps often focus on quantity rather than clarity. I wanted to build something that made choosing easier. Yumway filters restaurants by what matters most to the user, like cuisine type, mood, and proximity, then shows clear and relevant choices.

I focused on three main pillars:

Personalization: Smart recommendations that learn from user behavior and preferences.

Simplicity: A clean interface with quick filters and instant results.

Discovery: Curated lists of local favorites and trending spots for when users want to explore.

Yumway helps people cut through decision fatigue and find food they actually want to eat. Whether someone is craving sushi after work or looking for the best brunch nearby, Yumway makes the decision process effortless and fun.

What started as a personal frustration turned into a tool that helps people eat better, faster, and happier.