Core Insights - The CEO of Superblocks, Brad Menezes, believes that the next generation of billion-dollar startups is hidden in the system prompts used by existing unicorn AI startups [2] - Superblocks recently raised $23 million in Series A funding, bringing its total funding to $60 million [3] Group 1: System Prompts - System prompts are lengthy instructions (over 5,000-6,000 words) that guide foundational models like those from OpenAI or Anthropic to generate application-level AI products [2] - Each company has unique system prompts tailored to specific tasks and domains, which are not always publicly available [2] - Superblocks has released a document containing 19 system prompts from popular AI coding products as part of its new product announcement [2] Group 2: Insights from System Prompts - Menezes states that system prompts may only represent 20% of the "secret weapon," with the remaining 80% being "prompt enhancement," which includes additional instructions and accuracy checks [3] - Three key components of system prompts are role prompts, context prompts, and tool usage [4] - Role prompts help maintain consistency and purpose in the model's responses, while context prompts provide necessary background information [5] Group 3: Market Opportunities - Researching other system prompts has revealed that tools like Lovable, V0, and Bolt emphasize rapid iteration, while others like Manus and Replit focus on full-stack application development [5] - There is an opportunity for Superblocks to address more complex issues, such as security and access to enterprise data sources, enabling non-programmers to build applications [5] - Superblocks has already attracted notable clients, including Instacart and PayPal Global, indicating market interest in its offerings [6]

图片来源： Superblocks 企业级低代码开发平台 Superblocks 的 CEO 布拉德·梅内塞斯认为，下一批价值十亿美元的创业点子 几乎就藏在眼前：现有 AI 独角兽企业所使用的系统提示词中。 Superblocks 上周宣布完成 2300 万美元 A 轮扩展融资， 使其 A 轮总融资额达到 6000 万美元 ，该公 司的 vibe coding 工具主要面向企业非开发人员。 系统提示词是 AI 初创公司用于指导 OpenAI 或 Anthropic 等公司的基础模型如何生成其应用级 AI 产 品的长篇提示词——通常超过 5000-6000 字。在 Menezes 看来，这些提示词堪称提示工程的 " 大师课 " 。 每家公司对同一个 基础 模型使用的系统提示词都完全不同， " 他说 。 " 他们试图让模型完全按照特 定领域、特定任务的要求来运作。 系统提示词并非完全保密。客户可以要求许多 AI 工具分享它们的提示词。但这些提示词并不总是公 开可用。 因此，作为其初创公司新推出的企业级编程 AI 助手 Clark 产品发布的一部分， Superblocks 主动提出 分享 19 个系统提示词文件 ...