Updated

Palytt vs dish-first apps: where does your score come from?

Dish-first apps all start at the plate, but their scores come from different evidence. Palytt builds a 0–100 match from your taste profile and dish history when it has enough of both. ForkFox mines public reviews into a personal score. UnPlat, LishDish, DishDrop and Recommends lean on diner ratings, photos or thin public pitches — check each source before you trust the number.

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We make Palytt, so it is first here. Competitor descriptions follow their own sites and launch posts, checked November 11, 2026. We have not tested every app end to end.

Where your score comes from

FeaturePalyttTypical dish-first app
Unit of rankingDishes when enough of your taste and dish history existDishes (or nearby top dishes) from reviews, ratings or photos
Score evidenceYour taste profile and dishes you rated; otherwise Popular herePublic reviews, diner ratings, creator or community signals — varies by app
What 0–100 meansFit to your available taste evidence, not a measured chance you will enjoy itOften a personal or crowd plate score; read each product’s own definition
FriendsOptional verdicts only when friends have rated that dishFollow graphs, crews or shared ratings depending on the app
CoveragePlaces and dishes Palytt has enough information forCity betas, early catalogs or worldwide user adds — check each listing
PlatformsiPhone and iPadVaries; many are iOS-first or web-first in early launch

Palytt’s match rules are explained in full on how taste matching works. Rival details below cite each product’s public materials from November 11, 2026.

Dish-first apps compared

  • Palytt

    Your taste + dish history

    Ranks dishes in an Order Guide when it has enough of your taste profile and dish history, shows a 0–100 match only on that evidence, and otherwise labels crowd signal as Popular here. Friends’ verdicts appear when they have rated that dish. Free on iPhone and iPad.

    Palytt on the App Store · Where to get Palytt

  • ForkFox

    Public reviews mined into a personal 0–100 dish score

    Scores individual dishes, not restaurants, by reading public reviews (its launch post names Yelp, Google, Reddit, OpenTable and enthusiast forums), weighting sensory and context attributes, then personalizing the 0–100 result to your taste. iOS beta described as live in San Francisco and Philadelphia, with a wider rollout planned; free during beta per its own materials.

    Coverage: SF + Philly beta (as of its April 18, 2026 launch post)

    ForkFox launch post

  • UnPlat

    Real user ratings, photos and Taste DNA preferences

    A dish-first discovery platform (BetaList profile) that searches specific foods, shows highly rated plates nearby and builds recommendations from user ratings, photos and Taste DNA preferences. When data is thin, it says Signal Forming instead of inventing a score.

    Coverage: Early / beta (public materials checked November 11, 2026)

    UnPlat on BetaList

  • LishDish

    Diner photos and ratings out of 10, plus people you follow

    A dish-first food guide: nearby top dishes, fresh reviews, picks from people you follow, and a personal FoodPrint for dishes and meals you have tried. Its site frames restaurant scores as where to go and dish photos/ratings as what to order.

    Coverage: Website product materials (checked November 11, 2026)

    LishDish website

  • DishDrop

    User ratings and photos of individual dishes

    Rates individual dishes rather than whole restaurants, with a worldwide add-a-dish flow on its site. A July 2026 StartingUp profile describes an iOS App Store launch in summer 2026 and very early traction numbers from the founder; treat those figures as that interview’s snapshot, not a live audit.

    Coverage: Early iOS / web (founder interview KW 29/2026)

    DishDrop website

  • Recommends

    Dish-level recommendations (site headline)

    Positions itself as dish-level recommendations with the line “Find the dish, not just the restaurant.” Public detail beyond that headline was thin on its homepage in this check, so confirm current features on the product’s own materials before comparing further.

    Coverage: Public site (checked November 11, 2026)

    Recommends website

What Palytt does differently

  • Evidence-gated matches. A personal match appears only when your taste profile and dish history support it; otherwise the Order Guide says Popular here.
  • Your ratings first. Palytt does not mine Yelp, Google or Reddit into your match score. Public review mining is ForkFox’s stated approach, not Palytt’s.
  • Solo without invites. Rate tastes and open Order Guides without inviting friends. Friend verdicts stay optional.
  • Honest limits. Coverage depends on available dish information. Palytt does not claim national menu completeness.

Which should you use?

Use a review-mining dish score such as ForkFox’s beta when you want plates ranked from public write-ups in a live city. Use diner photo and rating apps such as LishDish or DishDrop when you want a community FoodPrint-style history. Use Palytt when you want a match built from your own taste evidence and a clear Popular here label when that evidence is missing. For restaurant rankings instead of dishes, see Palytt vs Beli and best apps to know what to order.

Good to know

What is a dish-first food app?

A dish-first app ranks or recommends individual menu items instead of whole restaurants. Palytt, ForkFox, UnPlat, LishDish, DishDrop and Recommends all market that plate-level job in different ways.

Where does Palytt’s match score come from?

When Palytt has enough of your taste profile and dish history, it shows a 0–100 match for how the available dish information fits you. That number is not a measured probability you will enjoy the dish. When personal evidence is missing, the Order Guide labels crowd signal as Popular here. See how taste matching works.

How is ForkFox different from Palytt?

ForkFox’s April 18, 2026 launch post describes mining public reviews into a personal 0–100 dish score, with an iOS beta in San Francisco and Philadelphia. Palytt builds matches from your own ratings and taste profile and does not claim to mine Yelp, Google or Reddit into that score.

Which dish-first app should I use?

Choose by evidence. Prefer Palytt when you want matches gated on your own taste history. Prefer a review-mining beta such as ForkFox when you want plates scored from public write-ups in its live cities. Prefer diner photo and rating products such as LishDish or DishDrop when you want a shared FoodPrint-style history. Always check each product’s current coverage.

Does Palytt work on Android?

Not yet. Palytt is available for iPhone and iPad on the App Store, with Android coming.

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