Helping Lunchbadger raise $3.13 million with a successful prototype
Lunchbadger
LunchBadger is an early venture-funded startup within the API and microservices enterprise cloud software space. It is a multi-cloud platform that allows you to compose, connect, secure, deploy, publish, monitor and extend APIs and microservices.
About project
LunchBadger is an early venture-funded startup within the API and microservices enterprise cloud software space. It is a multi-cloud platform that allows you to compose, connect, secure, deploy, publish, monitor and extend APIs and microservices.
Our tasks
Building an application search engine and communication API
The engine would enable users to search properties not only by locations but also by the attributes of these locations, while the Communication API would handle messaging between users and campaign messaging via multiple channels.
Building a Core API
The additional part of the scope included building a Core API which included simple user management, managing real estate, and favorite properties list.
Building APIs as services
The API was supposed to enable direct communication between the buyer and the seller of a real estate in the form of a chat. API needed to enable sending different types of messages and some user actions might trigger sending additional messages to the chat stream.
Challenges
1. Defining requirements
The client needed to define technical requirements before developing the frontend portion of the product prototype.
2. Choosing the right technology to work with
The client looked for a tech partner that would help choose the right tech stack to develop the final product with.
3. Limited time and budget
The goal was to create the first basic version of the product that they could demo and bring to the market to gather feedback from the trial group of users.
Neoteric put a lot of thought into the product, resulting in a successful prototype. Aside from having reasonable rates, Neoteric impressively balanced efficiency and quality in their services. They completed everything to the full expectation of requirements.
Solutions
1. Using the right technology to speed up development
The client initially suggested using a specialized SVG library, which turned out not to be the best possible solution for this project.
Once we have learned about all the needs of the client, we decided that a different, more generalized technology, React, could be used instead, making the development process much shorter.
2. Building a prototype to get further funding
A small team of our front-end developers was working with a product owner on the client’s side. They used the client’s mock-ups, built the interaction, and later the prototype itself. They also worked with the client’s developers to partner on the backend services.
Project Results
Getting $3.12 million funding with the prototype
Our team managed to develop the prototype within the timeframe and budget. The prototype was done successfully and the client could later use it as the first iteration of the production code. The developed prototype received funds from investors: a total of 3.13 million dollars.
Conclusion
We have developed the product prototype that the client could demonstrate to investors. As a result, Lunchbadger received $3.12 million in investors’ funding and could develop the product further.
