Apps Like LeoSwap for iPhone and iPad
Ranked alternatives
Showing 401–420 of 1,000 ranked alternatives.
Jumpspree - Social Marketplace
Nexa Platforms, Inc.
Post, sell, and chat live
Users can post products, shop from others, sell items, and go live to interact. They can connect with friends, join communities, and earn money through creative content and sales.
The Buku App
The Buku App LLC
Buy, sell, and rent campus items
Buy, sell, and rent items or services within a campus community. Communicate in real time with classmates via messaging. Complete transactions securely using Payments integrated with Stripe.
HelloTigerSwap
TigerSwap LLC
Shop directly with Princeton students
Browse listings from Princeton students using .edu email verification. Filter items by category and set alerts for desired products. Communicate with sellers via in- messaging without sharing personal contact information.
Lisit - Rent. Buy. Sell Stuff!
Keith Cornish
Buy, , rent, and book services
List items for sale, rent, or services. Make offers and negotiate prices. Communicate securely with buyers. Buy, , or book services locally or nationwide. Track listings and manage transactions within the .
Chalk: Gymnastics Tracker
Brian Meyers
Track stats, calculate goals, share highlights
Track scores with real-time goal calculations. Log events and stats for athletes. Generate shareable highlights and export data. Sync with devices for seamless updates. Calculate "Road to 40" scores automatically.
Spotlight Junkie
Michael Tuoyo
Buy, sell, and trade local items
Buy, sell, and trade items locally. List products for sale, browse available items, and communicate with buyers and sellers via built-in chat. Arrange in-person meetings to complete transactions.
BuySportsCards: Marketplace
BuySportsCards.com, Inc.
Collect cards, trade, and track your collection
Allows users to browse and purchase sports cards from a large selection. Users can search for specific cards, view details, and complete transactions securely.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.