A Next.js application that uses AI to help you research topics across Reddit communities.

• 🤖 AI Query Expansion - OpenAI suggests relevant subreddits based on your topic
• 🔍 Reddit Scraping - Automatically scrapes posts from multiple subreddits
• 📊 Smart Summarization - Generates grounded summaries with citations
• 🎨 Dark Mode UI - Beautiful, modern interface
• ⚡ Real-time Progress - See scraping progress in real-time
• 🚀 Easy Deployment - Deploy to Vercel in minutes

1. Install dependencies:

   npm install

2. Start the development server:

   npm run dev

3. Open your browser: Navigate to http://localhost:3000

4. Set up your OpenAI API key:

   • Click "Settings" in the top right
   • Enter your OpenAI API key (get one at https://platform.openai.com/api-keys)
   • Set max posts to scrape (default: 100)
   • Click "Save"

1. Enter a topic you want to research (e.g., "best budget laptops for students")

2. Click "Expand Query with AI" - The app will suggest relevant subreddits

3. Review and edit subreddits - Add or remove subreddits as needed

4. Click "Start Research" - The app will:

   • Scrape posts from selected subreddits
   • Generate an AI summary with citations
   • Display results in an organized format

5. View results:

   • Summary tab: AI-generated narrative and key insights with citations
   • Sources tab: All scraped posts with links to Reddit

• Next.js 15 - React framework
• TypeScript - Type safety
• Tailwind CSS - Styling
• OpenAI API - Query expansion and summarization
• Cheerio - Reddit scraping
• Zustand - State management

• /api/expand - Expands queries using OpenAI
• /api/scrape - Scrapes Reddit posts (SSE streaming)
• /api/summarize - Generates summaries with citations

• Your OpenAI API key is stored locally in your browser
• Reddit scraping uses old.reddit.com (no API key needed)
• Rate limiting is built-in (1 second between subreddits)
• Maximum 100 posts per subreddit by default

• Export results to JSON/PDF
• Advanced analytics and charts
• Theme clustering with embeddings
• Comment analysis
• Custom time ranges

MIT