Hangrily is a decision-focused dining app designed to eliminate the friction of choosing where to eat, whether you’re solo, on a date, or coordinating with a group. Instead of scrolling endlessly through reviews or getting stuck in indecisive group chats, the app introduces a fast, swipe-based interface where users can evaluate restaurant options one at a time based on their preferences. Users start by setting filters like cuisine, price range, distance, and dietary needs, which narrows down the pool of options to something relevant. From there, the experience becomes lightweight and intuitive: swipe right on places you’re interested in, left on ones you’re not. In group mode, each participant goes through the same process independently, and Hangrily aggregates those preferences behind the scenes. The key value comes from how it resolves decisions. Rather than forcing a discussion or requiring someone to take the lead, the app identifies overlapping interest and surfaces a “match” that works for everyone. This turns what’s typically a slow, sometimes frustrating negotiation into a quick, data-driven outcome. Beyond just picking a place, Hangrily also helps bridge the gap between decision and action. Once a match is found, users can view key details, share the result, and move directly into making plans. The overall experience is designed to reduce cognitive load and social friction—making it easier to go from “we should get food” to actually sitting down at a restaurant. Hangrily (hangrily.app) is a swipe-based restaurant decision app that helps individuals, couples, or groups quickly agree on where to eat. Instead of scrolling endlessly or debating in group chats, users set preferences (like cuisine, price, and distance) and swipe on restaurant options—then the app finds a match everyone agrees on in minutes. Hangrily (hangrily.app) is a swipe-based restaurant decision app that helps individuals, couples, or groups quickly agree on where to eat. Instead of scrolling endlessly or debating in group chats, users set preferences (like cuisine, price, and distance) and swipe on restaurant options—then the app finds a match everyone agrees on in minutes.