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Hangrily

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, us

About Hangrily

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.

Who it is for
Individuals, couples and groups that want to agree on a nearby restaurant quickly.
Problem it solves
Restaurant decisions become slow when people scroll through long lists, debate in group chats or have conflicting preferences.
The solution
Hangrily narrows nearby restaurants by preferences and uses a swipe-based flow to identify an option everyone accepts.
What makes it unique
Up to ten people can participate in the same lightweight matching decision without creating an account.

Details

Built for

Individuals, couples and groups that want to agree on a nearby restaurant quickly.

Use cases
  • Choose a nearby restaurant
  • Agree on dinner as a couple
  • Match restaurant preferences in a group
  • Filter by cuisine and price
  • Handle dietary requirements

Hangrily homepage

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Website performance

Independent mobile lab measurements and permanent weekly competition results from IndieTools Speed.

62GoodMobile Lighthouse

Last checked

Load time
2.29 s
FCP
3.35 s
LCP
8.74 s
CLS
0.002
TTFB
2 ms
TBT
145 ms
Speed index
6.18 s

Latest Performance Score: 62. Measured: October 13, 2026. Weekly Overall Rank: #1014. Category Rank: #24 in Personal life. LCP: 8.74 s. Load Time: 2.29 s.

Overall rank · 2026-W41
#1014
Down 278 places
Best overall rank
#50
0 top 10 finishes
Best category rank
#1
20 category wins
Latest change
+1 score
Best score 77 / 100

Website performance history

Inspect every successful mobile Lighthouse lab measurement by metric and date range.

Range

Latest score

62 / 100

Higher is better
29 measurements

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Sep 14, 2026Oct 13, 2026

Weekly rank history

Track the product's finalized overall position on the IndieTools Speed leaderboard.

Range

MetricOverall rank

Latest rank

#1014

Closer to #1 is better
4 weeks

Use the left and right arrow keys to inspect weeks. Use Home or End to jump to the first or last week. Press Escape to dismiss the chart tooltip.

Sep 7, 2026Oct 5, 2026

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