Helping buyers and sellers save up to 6% of the real estate value with a mobile application
Three Leaf
About the project
When ThreeLeaf Creative contacted Neoteric, they were planning to publish a mobile application for real estate posting with the capabilities of direct live chat between users. The desired result was to lower the additional agent-related costs and simplify the communication between buyers and sellers.
Our tasks
Defining technical requirements and choosing tech stack
The Client wanted to receive suggestions on the tech stack to be used for product development together with all technical requirements.
Developing a product prototype
Our team had a limited time and budget to develop a basic version of the product the Client could showcase to the investor to get funding.
01
Challenges
1. Keeping user flow uninterrupted with in-app authentication and authorization
2. Facilitating communication flow between users of different roles
3. Reducing the time spent on agent-related tasks

I’m most impressed by the ease of use and quality of the end product they built. Neoteric delivered a user-friendly, modern, and high-quality end product. In addition to the caliber of their development team, their project management skills are also excellent. They met all expected deadlines and we’re so happy with their work that we don’t intend on working with anyone else in the future.
Patrick Kemp, ThreeLeaf
02
Solutions

1. Making the application scalable and easy to maintain
2. Using custom solutions
3. Boosting user experience within the application
Technology we used
Amazon Pinpoint
AWS Document DB
Graph QL
Nest JS
Node JS
03
Project Results
Helping users find their dream property with few clicks
Users of the application got a convenient system for searching real estate properties by key parameters of the location (even if they don’t know where that location is).
Saving 6% of property cost for buyers and sellers
Thanks to eliminating 3rd party agents from the process, users of the application, both buyers and sellers of real estates, are able to save the cost of fees that can typically get to about 6% of the real estate value.
Boosting app’s efficiency and scalability
Working with GraphQL, we created a typed API and implemented a unified way of filtering. Thanks to these solutions, the app “knows” what data it will receive and is able to filter that data with different fields of a chosen model – which boosts the app’s efficiency and makes it easier to develop by any future team.


