Overview
Linquo is an advanced AI-powered chat and business assistant built for professionals who manage clients, teams, and data across multiple platforms. It combines real-time messaging, AI automation, and data analytics inside a single mobile-first experience. The goal was to help entrepreneurs, coaches, and business owners turn daily communication into meaningful insights and actions.
Developed using the MERN Stack (MongoDB, Express.js, React, Node.js) with React Native for mobile and Next.js for the web dashboard, Linquo offers a powerful blend of performance, scalability, and user-centered design. It delivers fast synchronization, smooth UI transitions, and secure cloud integration powered by Supabase and OpenAI APIs.
The Challenge
Modern professionals spend hours switching between tools — chat apps, CRMs, spreadsheets, and task managers — losing time and focus. Linquo needed to unify these workflows without compromising speed, privacy, or experience.
The core challenge was to design an AI chat engine capable of delivering instant replies, learning user context, and syncing data across devices — all while maintaining enterprise-grade security and sub-second response latency.
Key challenges included:
- Integrating AI message routing with human context understanding.
- Managing large volumes of concurrent users in real time.
- Designing a clean and responsive UI for both mobile and web.
- Ensuring fast cloud deployment and cross-platform compatibility.
The Solution
My approach focused on scalability, modularity, and performance-driven UX.
- Developed an AI chat engine using Node.js microservices and Supabase Edge Functions for real-time data processing.
- Integrated OpenAI GPT models for intelligent responses and conversational insights.
- Built secure JWT authentication and role-based access control for user privacy.
- Used React Native and Tailwind CSS to create a consistent UI across Android, iOS, and Web.
- Deployed the web version on Next.js, optimized with server-side rendering (SSR) for SEO and performance.
- Implemented WebSockets and Supabase Realtime for instant sync between devices.
- Connected Supabase storage for structured and scalable data management.
- Added light/dark mode and gesture-based navigation to enhance user experience.
Results & Impact
Linquo successfully bridged the gap between AI productivity and human collaboration.
- 99.9% uptime across platforms
- 40% reduction in response latency
- 2x faster onboarding flow after UX optimization
- Adopted by 1,000+ active professionals within the first launch phase
- Improved engagement and daily retention through personalized AI suggestions
The app now serves as a go-to assistant for consultants, founders, and creators looking to automate chat, extract insights, and stay focused — all in one place.
Tech Stack
- Frontend: React Native, Next.js, Tailwind CSS
- Backend: Node.js, Express.js, Supabase
- AI Integration: OpenAI API (GPT models)
- Hosting & Deployment: Vercel, Supabase Cloud
- Authentication: JWT, OAuth
- Realtime: WebSockets, Supabase Realtime
Business Value
By merging AI and communication, Linquo became more than just a chat app — it became a business intelligence assistant. It helps users:
- Automate repetitive client responses
- Get actionable insights from chat analytics
- Manage projects, reminders, and follow-ups inside one dashboard
- Scale customer engagement without increasing manual workload