Independent product

TastyPals

Restaurant discovery should learn what you like instead of handing everyone the same ranked list.

The observation

Finding somewhere genuinely good still means bouncing between maps, listicles, ratings and group chats. The information exists; the decision support is weak.

What I built

Live restaurant search
Taste ID preference model
Recommendations grounded in ratings and diner reviews
City guides designed to be genuinely useful

What it is teaching me

Recommendation quality begins with a clear model of taste.

Trust improves when the evidence behind a recommendation is visible.

A smaller, more opinionated shortlist is often more useful than endless choice.

Try the product

Find a stronger shortlist.

Search live restaurant data and get recommendations grounded in real ratings, reviews, and your own taste.

Open TastyPals