Dealish is a mobile‑first, location‑based app that surfaces real‑time food and drink specials from nearby bars and restaurants. For venues, it provides a live platform to publish discounts, move excess inventory and attract foot traffic, while patrons can browse “live” deals as they appear, eliminating the need to search multiple sites.
Funding
Funding not disclosed
Founders
Product
Problem
Consumers often struggle to find up-to-date food and drink discounts, needing to check multiple websites, menus, or social media posts that may be outdated. Restaurants and bars lack an efficient way to broadcast real-time specials to nearby potential customers, leading to unsold inventory and missed revenue.
Solution
Dealish offers a mobile‑first, location‑based application that aggregates live food and beverage specials from nearby venues into a single feed. The app uses geolocation to surface deals that are currently active within a user’s vicinity, eliminating guesswork and the need to browse disparate sources. Venues can publish promotions instantly through a web dashboard, ensuring that offers appear to patrons as soon as they go live. Users receive push notifications for nearby deals, enabling spontaneous visits and higher foot traffic for participating establishments. The platform’s real‑time updates help businesses clear inventory, optimize table turnover, and increase overall sales while providing patrons with cost‑saving opportunities.
Target Audience
Dealish serves two primary groups: restaurants and bars seeking to attract nearby customers and manage inventory, and consumers looking for immediate, location‑based food and drink discounts.
Features
- Real‑time deal ingestion and push notifications based on user geolocation
- Mobile‑optimized interface that consolidates specials from multiple venues into a single feed
- Venue dashboard for instant creation, scheduling, and expiration of promotions
- Automatic expiration of deals to keep listings current and prevent stale offers
- Analytics for businesses showing impression counts, click‑through rates, and redemption metrics