Zest launches a restaurant discovery app powered by where people actually eat
Zest launched a restaurant discovery app that turns credit card dining data into personalized recommendations. The startup says it has $1.8 million in pre-seed funding and early post-launch traction.
Intelligence analysis by GPT-5.4 Mini
Zest is betting that verified spending data can surface better restaurant recommendations than wishlists or social posts. The app links a credit card through Plaid, builds a dining map from food-and-drink transactions, and uses AI plus reviews to suggest where to go next.
Zest is like a smart map built from receipts. Instead of guessing where a person might like to eat, it looks at where they already go and then suggests new places that feel like good matches.
Analysis
What Zest is launching
Zest is a newly public restaurant discovery app that recommends places based on where people actually spend money, not just what they save or post about. The startup says users can link a credit card, and the app will import dining transactions to build a personal map of restaurants, cafes, and bars they visit.
The company says it filters out fast-casual and fast-food purchases to keep the map focused on places that are more useful for discovery. As the app learns from repeated visits and spending patterns, it tries to improve its suggestions for where to eat next. Users can also follow friends and creator-curated profiles for ideas in their own city or while traveling.
Funding and traction
Zest was founded in November 2024 and has raised $1.8 million in pre-seed funding from Alexis Ohanian at 776 and Steve Jang at Kindred Ventures. It has been in beta since early on in its life cycle, moving from friends and family testing to larger groups over time. The company says that after launching publicly, it saw more than 100,000 visits within weeks.
Why the team thinks it works
Co-founder Mario Gomez-Hall argues that verified dining spend can surface more interesting spots than social posturing. He says the app is meant to highlight regular neighborhood favorites and hidden gems, not just expensive or status-driven restaurants.
Zest also says it pulls in more than 80 million reviews from sources across the web, including high-end guides and more casual recommendations, to improve its suggestions. This month, it plans to add freeform notes for tips like reservation advice or recommended dishes, and it is preparing a “Fresh Picks” feature meant to help users discover new restaurants in a way similar to a music discovery playlist.
Bigger ambition
The company says restaurants are only the start. Longer term, it wants to expand the app beyond food into other city spots, including shopping.
Key points
- Zest uses credit card transaction data and AI to recommend restaurants based on actual dining behavior.
- The startup says it has $1.8 million in pre-seed funding from 776 and Kindred Ventures.
- After public launch, Zest says it drew more than 100,000 visits in weeks.
- The app uses Plaid to import food-and-drink transactions and excludes fast-casual and fast food.
- Zest plans features like freeform notes, a "Fresh Picks" discovery feed, and possible expansion beyond restaurants.
If Zest’s model works, it could make restaurant discovery feel more personal and less noisy than standard review apps. The mix of real spending data, creator profiles, and large-scale reviews could help it become a useful guide for both everyday dining and travel.
Zest depends on people being comfortable linking a credit card and trusting the app with spending data. If users are uneasy about privacy or if the recommendations feel too narrow, the product may struggle to keep its promise of better discovery.
