Boosted!™ app icon

Apps Like Boosted!™ for iPhone and iPad

by MJH Productions Ltd★ 0.00 ratingsGamesFreeData updated 2026-09-06

Boosted!™ screenshots

Ranked alternatives

Showing 461–480 of 1,000 ranked alternatives.

  1. New Addiction Solitaire app icon

    New Addiction Solitaire

    少箐 岑

    Arrange cards into four rows.

    The app presents a solitaire game where players arrange cards into four rows by suit and ascending order. Cards move to blank spaces if they match suit and are one rank higher than the card to the left.

    ★ 3.343 ratingsGamesFreeData updated 2026-11-02
  2. Trappola app icon

    Trappola

    Georgios Andritsos

    A deck of cards in pocket.

    The app provides a digital deck of playing cards for unlimited card games on an iPhone. It supports multiplayer games over the internet with voice chat or via Bluetooth for local play.

    ★ 2.513 ratingsGamesFreeData updated 2026-10-11
  1. Dragon Baccarat app icon

    Dragon Baccarat

    eConnect, Inc.

    Casino card game with big cards.

    Dragon Baccarat offers a casino card game experience with large, realistic playing cards and quick gameplay. The app provides unlimited bet values and allows users to choose table and card back colors.

    ★ 3.837 ratingsGamesFreeData updated 2026-09-22
  2. Durak online app icon

    Durak online

    Advance Corp.

    Discard all cards to win.

    Durak is a Russian card game played with 36 cards. The objective is to discard all cards, with the last player holding cards being the fool.

    ★ 4.48 ratingsGamesFreeData updated 2026-10-12
  3. Rogue Like Lucky Dungeon app icon

    Rogue Like Lucky Dungeon

    SNACK GAMES G.K.

    Build decks, explore dungeons, conquer challenges

    Build and customize a deck of cards to shape your character's journey. Explore randomly generated dungeons, collect unique cards, and battle enemies to progress. Unlock new cards and abilities through gameplay.

    ★ 3.45 ratingsGamesFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.