TasteBuddy is a personal restaurant diary and food discovery app — conceived and built by Colin Chia.
Instead of scrolling through notes or trying to remember where you ate six months ago, TasteBuddy gives you one place to track every restaurant you’ve been to, want to try, or are planning to visit.
Log your visits. After a meal, record the date, who you went with, what you spent, and how you felt about it. Add photos and notes so you actually remember the experience — not just the name.
Rank your favorites. Organize restaurants into tiers (S, A, B, C) by cuisine or category, so you always know which spots are worth going back to and which ones weren’t.
Build your wishlist. Saving restaurants you want to try keeps your list organized and easy to act on — whether it’s a place a friend recommended or something you spotted online.
Ask the AI concierge. Not sure where to eat tonight? Ask a question in plain English — “best ramen near me” or “where should I take my parents for a special occasion?” — and get a recommendation that’s actually tailored to your taste history. It searches the web and cross-references your own database to give you a real answer, not a generic one.
Discover through personas. Explore curated food personas — like the Sushi Snob or Brooklyn Bruncher — to find restaurants that match a particular vibe or scene.
TasteBuddy is for people who care about where they eat and want to be intentional about it — whether you’re a casual diner trying to remember the good spots, or a dedicated foodie building your definitive tier list.
General Overview — 13-slide product walkthrough covering the full feature set, AI pipeline, and persona ecosystem
Technical Memo — deep-dive on the architecture, tech stack, and implementation details
Live app: tastebuddy-colinchia2.pythonanywhere.com