Apps Like Reloop Cycle | Reuse Items for iPhone and iPad
Swap , share, and reduce waste
Find and exchange locally through a map-based interface. List unused for giveaway, swap, sale, or adoption. Connect with neighbors to declutter, save time, and reduce waste without spending.
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.
Phubber App
Giorgi Areshidze
Buy and sell clothes and accessories
Buy and sell clothing, accessories, and cosmetics. Browse Georgian designer collections, vintage items, mass-market brands, and pre-loved goods. Use free delivery, quality assurance, and secure payment options.
Adverts.ie
Daft Media Ltd.
Buy and sell items locally
Buy and sell items for free on a marketplace with listings for furniture, electronics, fashion, and more. Post ads quickly, search local listings, and meet sellers in person or view items online.
Suiiz
AL AHRAM GROUP FOR SOLAR ENERGY
Buy and sell items securely
Buy and sell items across multiple categories including vehicles, properties, electronics, furniture, clothing, and more. Browse listings, contact sellers, and complete transactions securely. View product details, photos, and user ratings.
Nominalx
NOMINAL LLC
Shop, browse, and purchase items
Browse products with a minimalist interface. Search and filter items by category. Add products to a cart and proceed to checkout. View exclusive discounts and early access to new releases. Track order status and receive notifications about shipments.
Remix Preloved Fashion
Remix Global AD
Buy and sell unique items
Buy and sell unique clothing items from over 15,000 brands. Browse outfits, filter by brand, and search for items. Sell unused clothing for cash. Access daily new arrivals and find discounts up to 80%.
BarterPlace
YUAN XIN LI
Swap items, negotiate deals, trade fashion
Browse curated fashion listings to find preloved garments and accessories. Swap items by negotiating deals and completing trades. Connect with other users to exchange clothing and accessories.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.