This idea revolves around developing a dynamic risk management tool specifically tailored for trend-following strategies in the investment space. As discussed in the episode, the traditional understanding of speed in trend-following strategies is evolving, with a growing recognition that speed is not a static measure. Instead, it can be dynamically adjusted based on market conditions. Entrepreneurs could create a software platform that utilizes machine learning algorithms to analyze market data in real-time and adjust risk parameters accordingly. This tool would allow traders to optimize their trend-following strategies by adapting to changing market environments, ultimately enhancing performance while managing risk effectively. The primary target audience for this tool would be managed futures funds, hedge funds, and individual traders who actively engage in systematic trend-following strategies. By providing personalized risk management solutions, this platform could fill a significant gap in the current market.