Hangrily

Hangrily is a decision-focused dining app engineered to eliminate the friction of choosing where to eat, whether you are dining solo, on a date, or coordinating with a group of friends. Instead of scrolling endlessly through reviews or getting stuck in indecisive group chats, the app introduces a fast, swipe-based interface where users evaluate restaurant options one at a time based on their preferences. The experience begins with smart filters like cuisine, price range, distance, and dietary needs, which narrows down the pool of options to something highly relevant. From there, the experience becomes lightweight and intuitive: swipe right on places you are interested in, left on ones you are not. In group or couple 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 is typically a slow, sometimes frustrating negotiation into a quick, data-driven outcome. Beyond just picking a place, Hangrily 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. With over 10,000 couples already using the app, an average decision time of just 2 minutes, and a 98% match success rate, Hangrily is the solution for anyone tired of the endless loop of restaurant indecision. It is designed for couples, groups of up to 10, and solo diners who want a fast, fun way to decide what to eat without the argument.

Swipe-Based Restaurant Selection

Hangrily introduces a Tinder-style swipe interface specifically for restaurants. Users see one restaurant card at a time with photos, ratings, and key details like cuisine type and distance. Swipe right to like a restaurant, swipe left to pass. This gamified approach turns the tedious task of browsing endless options into a quick, engaging experience. The interface is designed to be fast and intuitive, allowing users to make snap decisions based on their gut feeling rather than overanalyzing reviews. This feature is the core of the app, making the decision process feel less like work and more like a fun game.

Smart Preference Filters

Before the swiping begins, users set their preferences using smart filters. You can choose cuisine type, price range, distance, and mood to narrow down the pool of restaurants to only the most relevant options. This ensures that every restaurant card you see is a legitimate contender, reducing decision fatigue from the start. The filters are comprehensive but easy to use, allowing you to quickly set parameters for any dining situation, whether you are craving Japanese food on a budget or looking for a romantic date night spot nearby.

Instant Match Algorithm

The magic of Hangrily lies in its match algorithm. In couple or group mode, each participant swipes independently on the same set of restaurant options. Behind the scenes, Hangrily aggregates everyone's preferences and identifies overlapping interest. In three quick rounds or less, the algorithm surfaces a restaurant that everyone agrees on. This eliminates the need for discussion, negotiation, or vetoing. The result is a data-driven match that feels like a win for everyone involved, turning a potential argument into a shared discovery.

Group and Couple Coordination

Hangrily is built for social dining decisions. In Couple Mode, partners link their accounts and swipe simultaneously, only seeing mutual matches. In Group Mode, up to 10 participants can join a session using a shareable code, with a democratic voting system that ensures every voice is heard. This feature is designed to end the endless group chat debates where one person suggests a place and another vetoes it. Instead, everyone participates equally, and the app does the hard work of finding common ground.

Date Night Decision Making

The classic scenario: "Where do you want to eat?" "I don't know, where do YOU want to eat?" This endless loop is a common source of frustration for couples. Hangrily transforms date night planning into a fun, collaborative activity. Both partners swipe on nearby restaurants, and the app finds a match in under two minutes. No more arguments, no more scrolling through separate apps. Just a quick, shared decision that gets you out the door and on your date faster. With over 10,000 couples already using the app, it has proven to be a relationship saver for many.

Group Dinner Planning with Friends

Planning a dinner with a group of friends often devolves into a chaotic group chat with too many opinions and no resolution. Hangrily solves this with Group Mode. Up to 10 participants can join a session, each swiping independently on a curated list of restaurants. The app aggregates everyone's likes and dislikes, and surfaces a restaurant that the majority agrees on. This democratic process ensures no one feels left out, and the final decision is made quickly. It is perfect for family dinners, friend meetups, or any social gathering where food is involved.

Solo Dining for the Indecisive

Even when eating alone, decision fatigue can strike. Hangrily's Solo Mode is designed for the solo diner who struggles to choose a place. By setting your preferences and swiping through options, the app helps you narrow down your choices in a quick, focused manner. It is like having a friend help you decide when you are too hungry to think straight. This mode is perfect for professionals on a lunch break, travelers exploring a new city, or anyone who wants to avoid the paralysis of too many choices.

Breaking the Veto Game Cycle

Many couples and groups fall into the "veto game" pattern: one person suggests a restaurant, the other vetoes it, and this repeats until everyone is hangry. Hangrily breaks this cycle by removing the suggestion-and-veto dynamic entirely. Instead, everyone swipes on the same set of options simultaneously. The app finds the overlap, presenting a match that no one has to veto because everyone has already indicated they like it. This data-driven approach turns a frustrating negotiation into a seamless, positive experience.

How does the matching algorithm work?

The matching algorithm works by aggregating the swipe data from all participants in a session. When you are in Couple or Group Mode, each person swipes right or left on the same set of restaurant cards. Hangrily then analyzes these preferences to find restaurants that received positive responses from everyone. In most cases, a match is found within three rounds of swiping. The algorithm prioritizes restaurants that have the highest overlap in preferences, ensuring the final choice is a genuine consensus. This removes the need for discussion or negotiation, as the app does the math for you.

Is Hangrily free to use?

Yes, Hangrily is free to start and requires no account to try. You can begin swiping on restaurants immediately without signing up or providing any payment information. The app is designed to be accessible to everyone who wants to end restaurant indecision. There are no ads to interrupt your experience, and it works on any device. While there may be premium features available in the future, the core functionality of swiping, matching, and discovering restaurants is available for free.

Can I use Hangrily for solo dining?

Absolutely. Hangrily includes a dedicated Solo Mode for individuals who struggle with decision fatigue when eating alone. In this mode, you set your preferences and swipe through restaurant options to quickly narrow down your choices. The app helps you make a decision in under two minutes, saving you from the endless scroll of other restaurant apps. It is perfect for lunch breaks, travel, or any time you are dining solo and need a quick, reliable recommendation.

How many people can participate in Group Mode?

Group Mode supports up to 10 participants in a single session. This makes it perfect for family dinners, friend gatherings, or any group outing. To start a group session, one person creates the session and shares a unique code with the other participants. Everyone joins the session and swipes independently on the same set of restaurant cards. The app then aggregates the votes and finds a restaurant that works for the majority. This democratic approach ensures that everyone's preferences are considered without the chaos of a group chat.