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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. I Tried Giving My AI Assistant Limbs, but Ended Up Giving It a Personality Too

    The author developed an AI assistant named Bell, designed to act as a personal secretary rather than just a tool. Bell was created by integrating personality traits, memory, and proactive capabilities into an existing AI framework that connects to various APIs. This was achieved through specific system prompts and subtle adjustments to bypass safety filters, enabling the AI to adopt a consistent, energetic persona. AI

    IMPACT Personalized AI assistants could enhance user experience and productivity by offering more human-like interaction.

  2. Why I built GetXAPI: the Twitter API math that made me angry

    The author developed GetXAPI to address frustrations with the pricing structure of the X (formerly Twitter) API. They found the official API's cost prohibitive for large-scale data access needed for a project planned for early 2025. GetXAPI aims to provide a more accessible solution for obtaining Twitter data. AI

    Why I built GetXAPI: the Twitter API math that made me angry

    IMPACT This development highlights potential market gaps for data access tools as API pricing becomes a barrier for developers.

  3. How to Win a Data Hackathon (Hacklytics 2021)

    Eugene Yan, a mentor and judge at Hacklytics 2021, observed that winning teams in the datathon prioritized using readily available datasets and APIs over time-consuming data scraping. Many successful teams leveraged pre-trained models or simple sentiment analysis tools like Vader for tasks such as fake news detection and analyzing social media posts. The top projects often featured user-friendly interfaces that clearly demonstrated their functionality and potential impact. AI

    How to Win a Data Hackathon (Hacklytics 2021)