Kendriq Network
A high-trust community & networking platform that transforms group chats into searchable directories with member vouches and dedicated feeds.
Overview
Kendriq was engineered to solve the chronic chaos of business and founder WhatsApp groups where critical job leads, business referrals, and member profiles get lost in endless chat scroll.
The platform introduces an organized architecture separating conversational chat from persistent community feeds and rich professional member directories.
On the frontend, Next.js with TailwindCSS delivers an ultra-fast, responsive interface with instant search filtering, real-time activity indicators, and seamless member onboarding.
The backend is powered by NestJS and PostgreSQL, implementing strict JWT authentication, role-based group permissions, and automated invitation flows.
Engineering Case Study
Developed a resilient multi-token search engine capable of instantaneously querying verified members across skills, location, and group affiliations without high latency.
Engineered indexed full-text PostgreSQL search combined with Redis caching, reducing directory query latency to under 35ms.
Designed a fraud-resistant peer-vouching graph where mutual trust connections are validated across private community boundaries.
Constructed a directional graph vouching algorithm that calculates trust paths and displays transparent mutual connections in group directories.
Project Specs
- Role
- Lead Full-Stack Engineer
- Duration
- 4 months
- Year
- 2026
- Context
- Client Deliverable