Multi-Agent AI Researcher This Streamlit app empowers you to research top stories and users on HackerNews using a team of AI assistants with GPT-4o.
HackerInsight is a multi-agent system built using GPT-4, designed to help users research top stories and user profiles from HackerNews. It functions as a dynamic research assistant by leveraging AI agents to summarize and analyze information from HackerNews, making it easier for users to stay updated on key developments.
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Dynamic Research via AI Agents: Uses multiple AI agents to collaboratively extract and analyze information from HackerNews, providing a comprehensive research experience.
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Summarization of HackerNews Stories and User Profiles: Summarizes HackerNews articles and user profiles to save time and provide key insights.
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Streamlit Interface: Implemented using Streamlit, offering an easy-to-use interface that makes the app user-friendly and intuitive.
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HackerNews API Integration: Pulls data from HackerNews using their API, ensuring users have access to real-time, relevant stories and information.
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GPT-4: For generating insightful, context-aware summaries of stories and profiles.
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Streamlit: For building an interactive web-based user interface.
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HackerNews API: For fetching real-time data from the HackerNews platform.
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Integration of more sources beyond HackerNews.
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Enhanced real-time data analysis capabilities.
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Advanced multi-agent collaboration features to improve accuracy and context-awareness.
HackerInsight could be used for efficient research in journalism, tech industry analysis, or competitive market research, providing summarized and analyzed insights from a vast array of stories.
To get started with HackerInsight, follow these steps:
- Clone the Repository:
git clone https://github.com/jagadesvar/HackerInsight.git cd HackerInsight