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Source channel @githubtrending · Post #14698 · May 12

#typescript This repository offers many practical JavaScript/TypeScript examples for learning AI development, requiring Node.js and Bun runtimes. It includes ready-to-run demos like conversation summarization, web search integration, memory management, and API interactions with services like OpenAI, Langfuse, and Qdrant. You can run these examples locally or via Docker for easy setup. The code covers advanced AI topics such as token counting, prompt engineering, vector databases, and audio/video processing. Using Bun, a fast and TypeScript-friendly runtime compatible with Node.js, enhances performance and development speed. This setup helps you quickly experiment with AI features and build your own AI-powered apps efficiently. https://github.com/i-am-alice/3rd-devs

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EdgeMarket.AI 📣

@edgemarketai · Post #7991 · 02/20/2026, 10:35 AM

High-profile matches expose more than skill — they reveal system dynamics. For Nottingham Forest vs Liverpool, EdgeMarket analyzes scenario formation: • Momentum vs control • Tactical flexibility • Fatigue and recovery cycles • Pressure response under crowd intensity Rather than framing outcomes as binary, we focus on how probabilities evolve before and during the match. Sport is one of the clearest real-world laboratories for decision intelligence. #DecisionIntelligence#SportsAnalytics#PremierLeague#EdgeMarket#SystemsThinking#OutcomeAnalysis