Project Overview - NetworkOS - Community Relationship Manager

NetworkOS is a blockchain-based platform that helps individuals and organizations build smarter networks, enabling them to drive innovation and solve challenges by leveraging shared knowledge and insights.

Year
Service
Backend Development

The team's dedication to understanding our needs and attention to detail made for a smooth, successful collaboration. We look forward to working with them again!

Volodymyr Katanskyi, CTO

Overview

NetworkOS is a blockchain-based platform that helps individuals and organizations build smarter networks, enabling them to drive innovation and solve challenges by leveraging shared knowledge and insights.

Our Involvement and Process

We focused on backend development for NetworkOS, implementing sophisticated relationship management systems and connection algorithms. Our team worked extensively with graph database architectures to create an intelligent network mapping system that could identify and analyze complex relationships between users, similar to LinkedIn's degree connections but with enhanced capabilities.

NetworkOS

Development

The backend infrastructure was built using Node.js with Koa framework, leveraging GraphQL for flexible data querying. We implemented a hybrid database solution:

  • AWS Neptune for graph relationships and complex network queries
  • PostgreSQL with Sequelize ORM for structured data
  • Redis for caching and performance optimization

A key feature we developed was the multi-dimensional connection discovery system, allowing users to find relevant connections based on various data points including:

  • Technical expertise
  • Industry experience
  • Shared interests
  • Professional background
  • Project history

Challenges and Solutions

One of our main challenges was optimizing the performance of complex graph queries, especially when dealing with multiple degrees of connection and multiple filtering criteria. We solved this by:

  • Implementing efficient graph traversal algorithms
  • Using Redis caching strategically for frequently accessed network paths
  • Creating optimized GraphQL resolvers with batching capabilities

Tech Stack

  • Node.js
  • Koa
  • GraphQL
  • PostgreSQL
  • AWS Neptune
  • Sequelize
  • Redis
  • Apollo
  • Typescript

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