An interactive, AI-powered dashboard providing real-time insights into tech trends, community discussions, and social media buzz, complemented by automated personalized weekly newsletters.
This project aggregates trending data from various platforms, including HackerNews, GitHub, Twitter, Mastodon, Reddit, Stack Overflow, ProductHunt, and NewsAPI, to deliver a unified, real-time visualization of what's trending in tech. The dashboard is powered by advanced AI capabilities using Cohere, Gemini, and semantic vector search (via Pinecone).
- Summary Metrics: Instantly view total trending posts, active discussions, GitHub repositories, and popular queries.
- Reddit & GitHub Insights: Track engaging topics, trending repositories, language popularity, and active contributions.
- Stack Overflow Trends: See popular questions, best answers, and unanswered queries, organized by technology and topic.
- Social Media Buzz: Aggregated trending hashtags and posts from Twitter and Mastodon.
- Meme Trends: User-driven meme curation from popular social media.
- Queries resolved using vector embeddings (Cohere + Pinecone) and Gemini LLM.
- Fallback to Google and YouTube searches when needed.
- Enhanced with Chain-of-Thought prompting for superior response accuracy.
- Comprehensive filtering (time, source, popularity, geography).
- Multi-language support, text-to-speech, and accessibility-first design.
- Weekly insights and tech highlights delivered automatically every Monday.
- AI-generated detailed summaries with Gemini API.
- Reliable newsletter dispatch via Nodemailer.
- Interactive visual graphs and heatmaps.
- Visual sentiment analysis and mood-based content filters.
- Next.js (TypeScript): Seamless UX/UI and server-side rendering.
- Tailwind CSS & Framer Motion: Visually appealing, animated interfaces.
- Recharts/Chart.js: Interactive visualizations.
- Prisma: Efficient ORM and structured database management.
- Redis: Fast caching for enhanced performance.
- Pinecone Vector DB: Efficient semantic vector search.
- Gemini API: LLM for chatbot interactions and newsletter content.
- Cohere API: Embedding generation for vector database.
- Cron Jobs (Vercel): Automated daily data fetching (2:00 AM) and newsletter dispatch (Monday 6:00 AM).
- Nodemailer: Automated email newsletter delivery.
- HackerNews, GitHub, Twitter, Mastodon, Reddit, Stack Overflow, ProductHunt, NewsAPI, Google API, YouTube API.
- Cron Jobs trigger daily API fetches and weekly newsletters.
- Data stored in Prisma, cached in Redis.
- Important data processed into embeddings using Cohere.
- Embeddings stored in Pinecone Vector DB for quick semantic retrieval.
- Users interact directly from the dashboard.
- Answers generated via semantic retrieval or fallback web search.
- Gemini-powered, AI-generated personalized summaries.
- Nodemailer automation for reliable delivery.
Clone the repository:
git clone <repo-url>
cd tech-dashboardInstall dependencies:
npm installSet environment variables:
Create .env from .env.example and set:
- Prisma, Redis, Pinecone credentials.
- Gemini, Cohere, Google, YouTube, NewsAPI keys.
Start the development server:
npm run devEasily deployable via platforms like Vercel, leveraging built-in serverless and cron job scheduling features.
- Comprehensive guides and documentation included in
/docs. - API specifications and database schemas provided.
This project is licensed under MIT. See the LICENSE file for details.
- Multi-source aggregation for holistic trend analysis.
- Automated AI-driven newsletters tailored to personal interests.
- Enhanced accessibility and multi-language support.
- Active community engagement through interactive meme trends.
Happy Exploring! 🎉