Flutter app for purchasing and renting games.

Free Casino Site designed exclusively for our API customers

Application module for renting books from a certain library. This app is made using Java Spring Boot for backend and React JS for frontend implementation.

Beautiful Car Rental App UI with support for dark mode. Created by Martin Gogołowicz.

大学毕设：基于SpringBoot+Mybatis开发的分布式校园租赁系统

Send application forms to Landlords every time a new apartment is listed on Immobilien Scout

Easy & hassle free House Rent Management Web Application

N3RP (the NFT Rental Protocol) allows users to trustlessly rent out their ERC721-based assets.

Car rental app created by Jakub Sobański and Martin Gogołowicz (creator of UI). Backend created from 1/2/2022 to 1/3/2022.

A renting platform to rent products

Build a full stack car rental app with React Native from scratch! In this comprehensive app tutorial, we'll cover the entire tech stack required to design and develop a seamless vehicle booking experience. From UI design to app development, we'll dive into the details of creating a scalable and efficient car rent app using React Native.

Python Wrapper for automatic reception of SMS-messages by onlinesim.ru

Telegram Bot 🤖 helps you to find a new property to rent. New updates every day with your search requests.

Have you ever wanted to easily find the right house in the right place and that fits your budget? This real estate agency website is what you're looking for (if you live in Honduras); It was built in using JavaScript, Firebase, REST APIs, and other interesting technologies such as Cookies, Google Analytics and Intersection Observer

JS Wrapper for automatic reception of SMS-messages by onlinesim.ru

Bulma Rent Template designed using Bulma CSS Framework

基于Spring + SpringMVC + Mybatis简单开发的租赁系统，使用restful风格

This application is targeting the mobile user intends to help the user for house renting. A user can find houses or even the owner can post here to rent his or her house.

Empower your real estate decisions with our data-driven model, delivering precise rental predictions for landlords and comprehensive insights for tenants in a dynamic market landscape.