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Life & fun · May 28, 2026

Tastebuddy

End group indecision on where to eat

What it does

Tired of the 30-minute "I don't know, you pick" argument? I built Tastebuddy to kill group indecision. It’s a fast, frictionless utility designed to take any group from hunger to a confirmed choice in under 2 minutes. How it works: • Consensus Logic: Find the one place everyone agrees on. • Quick Filters: Narrow by cuisine instantly. • U.S. Only: Verified local data for high accuracy. Stop wasting time on the sidewalk and get to the food.

Does a similar job

all alternatives →
  • Picky Food2019 · ▲64

    Be less picky about where to eat

  • NomBot: Food DeciderJul 2026 · nombot.app · ▲6

    The app that picks what to eat and learns your taste.

  • IB
    I built an app that uses math to find restaurants nearby the sweet spot2025 · settld.space · ▲7

    I recently built an iOS app called Settld: Group Restaurant Finder that helps friends decide where to meet by finding restaurants that are roughly equally far from everyone’s location, and displaying information about them. We’ve all been in chaotic group chats where no one can agree on where to eat — this app cuts through that by calculating a “sweet spot” for the group. For 2 people, it’s the midpoint. For 3 people, it’s the circumcenter. For 4–6 people, it uses a minimum enclosing circle approach (Welzl’s algorithm). It then shows the top 15 nearby options so there’s no more “where do we…

  • GT
    Grabbie, time saving app by finding things on your way2015 · itunes.apple.com · ▲8

    Motivated by the problem of finding the most efficient place to eat along the way. Hope it can help in many other occasions as well.

  • ChopPickerMay 2026 · choppicker.com · ▲2

    Stop thinking. Start eating.

  • AF
    A food guide that ignores Google and Yelp ratingsDec 2025 · curiousspoon.app · ▲7

    My partner and I (ex-Googlers) plan our trips around food as a way to connect with local culture. Before every trip, we'd spend hours digging through Reddit threads and local blogs, filtering out sponsored noise to find places worth eating. So we built CuriousSpoon, a food guide we could actually trust. *Why ratings fail* - 51% of negative reviews cite service, only 31% cite food [1] - Google removed 170M fake reviews in 2023; Harvard found 16% are suspicious [2] *What we built instead* An engine that does what a local food nerd does: reads city newspapers, local critics, subreddits, chef…

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