问HN：你愿意付费获得创建预测模型的能力吗？
示例：<p>1. 你正在构建一个机票预订平台，希望为用户提供未来30天内机票价格上涨或下跌的预测。<p>2. 你有一家零售店，想要建立一个内部仪表盘，预测下周每种商品需要购买的数量，基于上个月的销售数据。<p>3. 你正在构建一个房地产投资平台，希望它能够通知用户未来5年内房地产价格的变化（考虑到平方米、距离、位置等因素）。<p>问题：<p>你希望在你正在构建的应用程序或平台中添加预测功能。<p>然而，你对构建和部署生产级机器学习模型的知识还不够。<p>如果有一个平台可以自动为你训练和部署机器学习模型，那该多好？<p>解决方案：<p>我们提议建立一个编码平台（例如 https://lovable.dev），<p>使普通用户能够训练和部署机器学习模型到生产环境，而无需了解该领域的任何知识。<p>我们应该构建这个平台吗？
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Examples:<p>1. You’re building a airplane ticket booking platform, and want to offer users forecasts of when ticket prices will go up or down in the next 30 days.<p>2. You have a retail shop, and want to build an internal dashboard that forecasts how many items of each type you need to buy next week, given how many you sold in the last month<p>3. You’re building an real estate investment platform, and want it to notify users how real estate prices will change over the next 5 years (given sq. m., distance, location, etc.)<p>Problem:<p>You want to add forecasting to the app or platform you’re building<p>However, you don’t know enough to build and deploy a production-grade ML model<p>What if you could have a platform that could autonomously train and deploy ML models for you?<p>Solution:<p>We propose a vibe coding platform (like https://lovable.dev/ )<p>To empower everyday users to train and deploy machine learning models to production without needing to know anything about the field<p>Should we build it?