endorsedOngoing

MVP Development — React Frontend, Python Backend & LLM Integrations for Freeplay

Services Covered:

Custom Software Development • Staff Augmentation

Industry

Information Technology

Duration

21 months

Budget

10K - 49K

Start Date

1 November 2024

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

89/100

Strong

Project Capability Score (PCS) estimates how capable Rushkar Technology Private Limited is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Freeplay

Boulder, United States of America

Project Summary

Rushkar Technology Private Limited built a React-based front end, a Python backend, and SDKs in Node and Java for the client's MVP. The team integrated the application with major LLM providers (OpenAI, Anthropic, Azure) and operated as staff augmentation, participating in weekly sprints and delivering tangible progress each week. The vendor delivered work on time and managed the project professionally, integrating closely with the client's team.

Key Challenges

Staff augmentation to help build the MVP

Project Deliverables

React-based front-end application
Python backend server
Node SDK
Java SDK
Large language model integrations (OpenAI, Anthropic, Azure)
End-to-end project management

Project Solution

Rushkar provided staff-augmentation engineering (2–5 employees) to develop the client's MVP: they implemented a React front end using the client's design system, enhanced and maintained a Python backend server, and developed SDKs in Node and Java. The team built integrations with large language model providers including OpenAI, Anthropic, and Azure, and provided end-to-end project management, participating in weekly sprints and collaborating closely with the client's team.

Project Outcome

Weekly sprint-based progress with tangible deliverables each week
Deliverables were completed on time and integrated seamlessly with the client's team
Vendor integrated LLM capabilities and demonstrated technical expertise, increasing the product's capabilities

Platforms

Tech Stack

React.js
Python
Node.js
Java

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Rushkar Technology Private Limited has delivered quality work on time, meeting the client's expectations. The team has showcased their technical expertise by integrating with leading large language models, such as OpenAI, Anthropic, and Azure. They've also managed the project efficiently.”
Eric Ryan
Co-Founder & CTO, Product Development Firm at Freeplay
Date: 07/22/2025