reddit-ai-trends

liyedanpdx/reddit-ai-trends is ranked 13,026 among these 8 peers; idanya/algo-trader is ranked 13,024.

Stay up-to-date with the latest developments in the AI field through daily reports. Latest Reports (2026-10-16) English Report Chinese Report Features **Real-time AI Trend Monitoring**: Track emerging AI technologies, discussions, and breakthroughs as they happen **Multi-community Analysis**: Collect data from various AI-related subreddits to provide a comprehensive view **Multimodal Content Analysis**: Image analysis using vision models (Qwen-VL, Gemini, etc. ) YouTube video transcript extraction and summarization Web page content scraping and summarization via

Firecrawl Community comment integration with bot filtering **Detailed Trend Analysis**: Generate in-depth reports including today's highlights, weekly trend comparisons, monthly technology evolution, and more **Bilingual Support**: Generate reports in both English and Chinese **Multiple LLM Providers**: Supports both Groq and OpenRouter APIs **Smart Caching**: Database-backed caching for all enrichments to minimize API costs **Organized File Structure**: Store reports in year/month/day folders for easy access **Automatic README Updates**: Automatically update links to the latest reports **Docker Deployment

**: Easy containerized deployment **MongoDB Persistence**: Store all data for historical analysis Recent Updates **2025-10-09** Added YouTube video transcript analysis - automatically extracts and summarizes video content Added web page content analysis using Firecrawl - scrapes and summarizes linked articles Both new enrichers use DeepSeek for cost-effective summarization with robust error handling Database caching for all enrichment data (images, YouTube, web content) to minimize API costs All enrichment features are optional and configurable via . env **2025-10-05** Added optional

vision model support for analyzing images in Reddit posts (Qwen-VL, Gemini with automatic fallback, configurable via . env) Added optional community comments integration with automatic bot filtering (configurable via . env) Refactored Reddit collection framework with Clean Architecture (fetchers, enrichers, filters) Added database caching for image descriptions and comments to reduce API calls Improved prompt structure with JSON format for better clarity **2025-10-03** Added OpenRouter API support with access to dozens of free and paid models (Gemini, DeepSeek, Qwen

, etc. ) Improved code organization for better maintainability Extracted prompts into separate template files for easier customization Directory Structure Installation and Setup Prerequisites Docker and Docker Compose Reddit API credentials LLM API key (Groq or OpenRouter) Environment Variables Setup 1. Edit the file with your API keys and other configurations: **Note**: OpenRouter provides access to dozens of LLM models including free options (DeepSeek, Gemini, Qwen) and paid models. Set up scheduled report generation: Creating a GitHub Repository 1. Initialize your local

repository and push: Custom Configuration You can modify the following configurations in the file: List of subreddits to monitor Number of posts to fetch per subreddit Report generation time Supported languages LLM model parameters AI Trend Monitoring This system is designed to keep you informed about the latest developments in the AI field by: Tracking emerging technologies and breakthroughs in real-time Identifying trending topics across different AI communities Comparing current trends with historical data to spot emerging patterns Highlighting

unique discussions from smaller communities that might be overlooked Providing technical deep dives into particularly interesting or important trends The