Racct app icon

Apps Like Racct for iPhone and iPad

Buy, sell, and connect locally

Buy and sell items locally with . Browse listings, message sellers, and arrange pickups or deliveries. Track shipments, leave feedback, and manage payments securely. View detailed product descriptions and photos.

by Racct Inc.★ 4.738 ratingsShoppingFreeData updated 2026-09-06

Ranked alternatives

Showing 661–680 of 1,000 ranked alternatives.

  1. Khillar app icon

    Khillar

    Suraj Dighe

    Browse cattle listings and sellers

    Browse listings of cattle with filters for price, age, and location. View seller profiles and contact sellers directly. Post your own cattle for sale. Access news and updates about breed trends and care.

    ★ 0.00 ratingsReferenceFreeData updated 2026-09-06
  2. Flipspot app icon

    Flipspot

    Onqanet Technologies Private Limited

    ★ 1.01 ratingsShoppingFreeData updated 2026-10-01
  3. LakLak — Seller App app icon

    LakLak — Seller App

    DASTRAS TOCHIKISTON, JDMM

    Manage sales and track store metrics

    Manage an online store with a centralized dashboard displaying sales data, recent orders, and top-selling products. Track inventory, process payments, and update product listings. Generate reports and monitor performance metrics in real time.

    ★ 5.01 ratingsBusinessFreeData updated 2026-09-06
  4. BARTR - Trade instead of Pay app icon

    BARTR - Trade instead of Pay

    Kerri Kinna

    Swap items, save money, find deals

    List unused items for sale or donation. Browse others' listings to buy or request items. Swap items directly or add cash value. Track inventory and manage transactions within the .

    ★ 0.00 ratingsShoppingFreeData updated 2026-09-06
  5. patpat.lk app icon

    patpat.lk

    Citizens Development Business Finance PLC

    ★ 4.52 ratingsFinanceFreeData updated 2026-09-15
  6. Animaff app icon

    Animaff

    Afritint Solutions Limited

    ★ 0.00 ratingsShoppingFreeData updated 2026-09-06

How we rank alternatives

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