InsightChat is an AI-powered chat insight platform that helps users analyze conversational data in real-time, uncover sentiment trends, tag topics, and generate summaries from chats. This frontend connects to a backend powered by Redis, workers, and LLMs like Gemini/OpenAI.
- Real-time chat analysis dashboard
- Chrome extension integration for live data extraction
- Session history with filters and detailed insights
- Sentiment analysis and topic tagging
- AI-generated chat summaries and response suggestions
- Scalable async processing with WebSocket/polling
- Secure Clerk authentication and routing
- Next.js (App Router)
- Tailwind CSS & shadcn/ui
- Clerk for authentication
- Axios for backend API calls
- WebSocket / Polling for async updates
/app → Next.js routes & pages
/components → UI and layout components
/hooks → Custom React hooks
/lib → Utility functions (API clients, etc.)
/public → Static assets
/styles → Global Tailwind styles
# 1. Clone the repo
git clone https://github.com/root4nishant/insightChat.git
cd insightChat
# 2. Install dependencies
pnpm install
# 3. Set up environment variables
cp .env.example .env.local
# Fill in Clerk, backend URLs, etc.
# 4. Run the dev server
pnpm devYou’ll need:
NEXT_PUBLIC_CLERK_PUBLISHABLE_KEYCLERK_SECRET_KEYNEXT_PUBLIC_BACKEND_URL
pnpm build
pnpm startCan be deployed to Vercel or any static hosting platform.
For bugs or feature requests, feel free to open an issue or contact the team.
Built with ❤️ by the InsightChat Team.