FreeFuse Technology
LANCER
Lancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
(Development)
Project Description
Freefuse Technologies engaged Oodles to enhance their content platform with robust video playback features across web and mobile applications. The goal was to deliver a high-quality viewing experience through smooth video streaming, social interaction capabilities, and efficient compression techniques. The platform also explored integrating machine learning into video workflows for intelligent recommendations and performance optimization.
Scope Of Work
The client needed full-stack development expertise to build a responsive video playback system for web, Android, and iOS platforms. The key requirements included high-quality video compression, adaptive caching for smooth streaming, and integration of social networking features. Technologies like React Native, AWS S3, AWS Lambda, Node.js, and MongoDB were to be used, along with early-stage planning for machine learning support to personalize playback and optimize performance.
Our Solution
To deliver a high-performing video playback system, Oodles implemented:
- Built the backend using Node.js on AWS Lambda for scalable API delivery
- Integrated AWS S3 for video storage and secure content delivery
- Developed frontends using React Native for mobile and React for web
- Implemented video compression algorithms to retain quality while minimizing load times
- Added adaptive video caching for seamless playback even on low bandwidth
- Integrated social features like likes, shares, and comments across video feeds
- Designed the system to support future integration of ML-based playback optimization
- Used MongoDB for managing content metadata and user interaction data
Share Your Requirements