howMuch? $ app icon

Apps Like howMuch? $ for iPhone and iPad

by Philipp Kromer★ 0.00 ratingsEntertainmentFreeData updated 2026-09-06

Ranked alternatives

Showing 461–480 of 1,000 ranked alternatives.

  1. MEAU app icon

    MEAU

    Kite & Dart Labs Private Limited

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06
  1. Pores: AI Skin Scanner app icon

    Pores: AI Skin Scanner

    Prototypal LTD

    Scan , get report, recommend products

    Scan to analyze hydration, pigmentation, acne, and oil levels. Receive detailed insights and actionable recommendations. Get customized skincare product suggestions based on individual needs. Track progress over time with regular scans.

    ★ 4.517 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. Fish Identifier: 96% Accurate app icon

    Fish Identifier: 96% Accurate

    Nuclear Cyborg Corp

    Snap and identify with AI

    Take a photo of a to identify it with high accuracy. View scientific details, common names, and fishing tips. Log catches in a photo book, share findings, and access species information without ads or watermarks.

    ★ 4.29 ratingsEducationFreeData updated 2026-09-06
  3. Bre's Tees + Boutique app icon

    Bre's Tees + Boutique

    MATKIT YAZILIM TEKNOLOJILERI ANONIM SIRKETI

    Browse products, filter by size and price,

    Browse products by category or search with filters for size, color, price, and style. Save items to favorites or wishlist. Receive personalized product recommendations.

    ★ 4.917 ratingsShoppingFreeData updated 2026-09-06
  4. Cookr: AI Flashcards & Study app icon

    Cookr: AI Flashcards & Study

    Skyrocket Apps Limited

    Scroll through questions from your notes

    Convert materials into AI-generated , quizzes, and practice tests. Upload notes, screenshots, or PDFs to create scrollable questions for interactive learning. Track progress and review content in a social media-like interface.

    ★ 5.08 ratingsEducationFreeData updated 2026-09-06

How we rank alternatives

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