Apps Like FLUF Connect for iPhone and iPad
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.

Libas Collective
LIBAS COLLECTIVE TRADING CO. L.L.C S.O.C
Buy and sell luxury pre-loved items
Buy and sell authenticated luxury items like bags, watches, and clothing. Set prices, add descriptions, and upload photos. Browse listings, make payments via credit card, bank transfer, or crypto. Track shipments and receive free express delivery.

Buy Sell Now - Sell it, Letgo
MTPHoldings LLC
Buy and items locally
Buy and local items like cars, electronics, furniture, and pets. Add listings for homes, used cars, and fashion. View product details and contact sellers. Ship items online through the . Track transactions and manage inventory.






SwiftSole - Sneaker Releases
SwiftSole Development LLC
Track sneakers, authenticate, and analyze portfolios
Manage collections with real-time market data and multi-marketplace price comparisons. Track collection value through interactive charts. Authenticate sneakers with AI-powered instant checks. Monitor portfolio growth and set price alerts.


BoardRecycler
Lorin Ely-McGregor
Sell and buy used boardsports gear
List and view free boardsport listings. Post ads with photos and descriptions. Search by sport type and location. Message sellers directly. Sell or buy surfboards, snowboards, skateboards, and other gear.

Firesale - 1 Click Selling
Niche Collective LLC
Sell items and earn cash in minutes
List items quickly by recording a short video; AI generates product details automatically. Sell multiple items at once with bulk listing options. Upload photos or videos for listings. Track sales and view performance metrics.


Flea Market Bay: Buy and Sell
Flea Market Bay LLC
Buy and items online
Buy and used and new items in your community. Browse listings for fashion, electronics, toys, and sports gear. Post items for sale with photos and descriptions. Message sellers directly. Track listings and view transaction history.




How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.