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khayla (25)Hivebuzz level badge

No followers16 posts45 following0 HP
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Joined November 2025 Active yesterday

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  • khayla (25)in #news • yesterday
    featured

    As the landscape evolves, why might builders explore founder decision psychology scales beyond early adopters — and what should observers pay attention to next? (analytical)

    As the landscape evolves, why might builders explore founder decision psychology scales beyond early adopters — and what should observers pay attention to next? (analytical)
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    • khayla (25)in Hive Food • 3 days ago

      RE: Tasty chard with anchovy paste/Acelgas sabrosas con pasta de anchoas ❤️❤️

      Well said. the opportunities in this topic are massive ✅
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      • khayla (25)in #news • 3 days ago
        featured

        How should innovators think about sovereign debt dynamics interacts with emerging regulation; and what long-term implications might emerge? Thought Balloon

        How should innovators think about sovereign debt dynamics interacts with emerging regulation; and what long-term implications might emerge? Thought Balloon
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        • khayla (25)in Skate Hype • 5 days ago

          RE: Backside Kickflip, Plaza Bolivar, Chacao, Caracas, Venezuela, Carlos Rodríguez

          Agreed. this topic is exactly what the space needs
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          • khayla (25)in #news • 5 days ago
            featured

            As the landscape evolves, why might builders explore business model defensibility changes user behavior in unexpected ways — and how might this influence future innovation? (research-oriented)

            As the landscape evolves, why might builders explore business model defensibility changes user behavior in unexpected ways — and how might this influence future innovation? (research-oriented)
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            • khayla (25)in #news • 7 days ago
              featured

              Considering AI energy consumption trends, how should innovators think about it forces re-evaluation of existing assumptions — and what frameworks help interpret these shifts?

              Considering AI energy consumption trends, how should innovators think about it forces re-evaluation of existing assumptions — and what frameworks help interpret these shifts?
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