Best of Business — November 2024

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    Article
    Avatar of itamargiladItamar Gilad·1y

    4 Levels of Data Proficiency

    Data proficiency is essential for product companies to thrive. This post outlines four levels of data proficiency: business modeling, data-driven, evidence-guided, and AI-powered. Business modeling focuses on creating models to understand customer behavior and business growth. Data-driven companies prioritize data collection, processing, and consistent analysis. Evidence-guided organizations test assumptions and act on validated data. The AI-powered level is speculative, suggesting that future advancements in AI could significantly enhance data-driven decision-making and business modeling.

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    Article
    Avatar of hnHacker News·2y

    How to Delegate Effectively as Your Responsibility Grows

    Delegation can be difficult as your responsibility grows. Successful delegation involves assigning both tasks and accountability at various levels within the organizational structure. Although detailed, task-specific delegation (IC-style) has its place, it often leads to micromanagement, inefficiency, and team frustration. Managers should instead focus on supervisor-style delegation, defining clear goals and allowing flexibility in task execution. Creating safe zones for failure, differentiating training from standing instructions, and empowering team members can lead to more scalable and effective delegation.

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    Article
    Avatar of indiedevelopersIndie Hackers·1y

    The Ultime guide to side-hustles

    Discover why most side hustle ideas fail and learn effective techniques to validate and improve your business concepts. Gain insights from Fireship's personal experience with a failed side hustle to avoid common pitfalls and increase your chances of success.

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    Article
    Avatar of dhhDavid Heinemeier Hansson·2y

    What you know that just ain't so

    Business decisions often require making calculated bets based on incomplete information and hunches. Testing against reality is essential, but even valid results can steer companies astray. It's crucial to remain flexible and open to reinterpretation, rather than becoming rigid in conclusions drawn from experiments.

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    Video
    Avatar of entreprenueroppEO·2y

    How I built $2B AI Translation Startup | DeepL, Jarek Kutylowski

    Jarek Kutylowski, founder and CEO of DeepL, shares the story of building a successful AI-based translation startup valued at $2 billion. He emphasizes the importance of speed in bringing innovative solutions to market and scaling the business. DeepL's free translation service has grown to serve hundreds of millions of users monthly and over 100,000 companies. Kutylowski also discusses the significance of choosing the right type of AI model—general purpose or specialized—for different business needs, focusing on delivering consistent quality and efficiency.

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    Article
    Avatar of communityCommunity Picks·2y

    Duolingo's Bored Teen Chatbot Spoke for CEO on Earnings Call

    Duolingo introduced its AI chatbot, Lily, during its Wednesday earnings call to recap the company's quarterly performance. Despite showing strong revenue growth of 40% year-over-year and raising its 2024 revenue guidance, the company missed paid subscriber targets, causing the stock to fall 5% in late trading. Duolingo highlighted its commitment to generative AI, emphasizing its role in both marketing and product development.

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    Article
    Avatar of jasonfriedJason Fried·2y

    Making it happen vs. Letting it happen

    Achieving progress often isn't about forcefully pushing things to happen but rather creating an effective environment that allows things to happen naturally. This involves building a strong team, establishing trust, and fostering a smooth process that promotes momentum with less effort, leading to more efficient and easier accomplishment of goals.

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