Show HN: Gigacatalyst – 用嵌入式 AI 构建器扩展你的 SaaS
15 分•作者: namanyayg•2 个月前
大家好，我是来自 Gigacatalyst 的 Namanyay (链接：<a href="https://gigacatalyst.com/">https://gigacatalyst.com/</a>)。Gigacatalyst 允许销售、客户服务和用户构建一次性功能，这样您的 SaaS 就可以支持长尾客户工作流程，并且工程师们不必从路线图中分心。<p>当您向大企业销售软件时，您会意识到每个客户都需要自己的工作流程和功能。传统上，这意味着漫长的工程路线图，或者客户最终使用变通方法。<p>但如果<i>每个人</i>都能通过与 AI 对话来构建他们关键的缺失功能呢？ 这就是我们在 Gigacatalyst 所做的。我们为您的客户、客户服务团队和销售团队提供 AI 定制层，以构建这些缺失的关键工作流程，而无需任何工程师。 想象一下 Lovable，但构建在您的平台之上。<p>我们连接到您产品的 API，学习您的数据模型和设计系统，并允许非技术用户通过自然语言构建受控应用程序——在您的产品内部，在您的品牌下。<p>以下是实际操作的样子：<a href="https://www.youtube.com/watch?v=_taSpSphH6E" rel="nofollow">https://www.youtube.com/watch?v=_taSpSphH6E</a><p>我们的一个客户，一家 B 轮融资公司，看到他们的用户（<i>不是工程师</i>——经理、运营人员、设施主管）构建了关键工作流程，例如：<p>- 零件缺货预防：一位维护经理输入了<i>“根据过去 90 天的使用情况，并考虑供应商的提前期，向我显示哪些零件将在未来 2 周内用完。”</i> 该应用程序跟踪消耗速度，预测缺货，并在为时已晚之前发出警报。 他说这避免了大约 50 万美元的紧急停机时间。<p>- 手机照片的发票 OCR：技术人员不断丢失纸质发票。 提示是：<i>“上传发票照片，提取供应商名称、日期、金额和明细，然后将其与采购订单匹配并标记差异。”</i> 现在，技术人员可以在现场拍照，自动添加到记录系统中。<p>- 餐厅紧急情况分诊：一家披萨连锁店的设施经理淹没在维护请求中。 他构建了一个优先级矩阵：“步入式冰柜不制冷”自动路由为“关键”，“餐厅灯闪烁”转为“低”。 他现在能够以正确的优先级管理积压工作。<p>Gigacatalyst 的幕后工作原理：<p>1. Agentic API 发现：我们的代理会浏览您的应用程序并解析您的端点、查询参数、请求/响应形状和示例数据，以构建基础层。<p>2. 生成和验证：当用户描述他们想要的内容时，我们的 AI 会生成一个应用程序。 我们设置了多个验证步骤，包括静态检查、运行时错误分析和 LLM 充当判断者。<p>3. 沙盒和编译：我们编写了自己的编译和沙盒框架，以获得最快的速度和最低的成本。 这意味着用户可以在几秒钟内与构建的应用程序交互。<p>4. 代理层：我们为所有 API 创建一个代理层，以处理身份验证、租户隔离和速率限制。 代理可以访问的所有内容都受到控制、记录、观察和版本控制。<p>在 2000 多个日常用户、构建了 900 多个应用程序以及 70% 的 30 天留存率之后，我们今天开放了公开演示。<p>试用：<a href="https://app.gigacatalyst.com/">https://app.gigacatalyst.com/</a> - 输入您的 SaaS 产品的 API URL（或只是主页）并开始提示。<p>如果您服务于各种用例，您可能需要处理大量自定义请求，而 Gigacatalyst 将为您节省时间并提高您的利润。 在 <a href="https://gigacatalyst.com/#contact">https://gigacatalyst.com/#contact</a> 预约会议，我将帮助您的团队和客户在您的平台上构建新功能。<p>我从 12 岁起就开始阅读 Hacker News。 我很自豪能为你们所有人发布，我想听取你们对我的产品和评论的反馈！
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Hi HN, I’m Namanyay from Gigacatalyst (link: <a href="https://gigacatalyst.com/">https://gigacatalyst.com/</a>). Gigacatalyst allows sales, CS, and users to build one-off features, so your SaaS can support long-tail customer workflows and engineers aren’t pulled away from the roadmap.<p>When you sell software to large businesses, you realize that each customer needs their own workflow and features. Traditionally, this either means long engineering roadmaps or the customers end up using workarounds.<p>But what if <i>everyone</i> could build their critical missing features just by talking to an AI? That’s what we do at Gigacatalyst. We provide an AI customization layer for your customers, CS team, and sales team to build these missing critical workflows without needing any engineers at all. Think Lovable, but built on top of YOUR platform.<p>We connect to your product's APIs, learn your data model and design system, and let non-technical users build governed apps via natural language - inside your product, under your brand.<p>Here’s what it looks like in action: <a href="https://www.youtube.com/watch?v=_taSpSphH6E" rel="nofollow">https://www.youtube.com/watch?v=_taSpSphH6E</a><p>One of our customers, a Series B company, saw their users (<i>not engineers</i> - managers, ops people, facility directors) build critical workflows like:<p>- Parts stockout prevention: A maintenance manager typed <i>"show me which parts will run out in the next 2 weeks based on usage over the last 90 days, accounting for vendor lead times."</i> The app tracks consumption velocity, forecasts stockouts, and alerts before it's too late. He says it's prevented ~$500K in emergency downtime.<p>- Invoice OCR from phone photos: Technicians kept losing paper invoices. The prompt: <i>"upload a photo of the invoice, extract vendor name, date, amount, and line items, then match it to the purchase order and flag discrepancies."</i> Now techs snap a photo on-site to automatically add to the system of record.<p>- Restaurant emergency triage: A pizza chain's facilities manager was drowning in maintenance requests. He built a priority matrix: "walk-in freezer not cooling" auto-routes as CRITICAL, "dining room light flickering" goes to LOW. He's now able to manage backlogs with the correct priority.<p>How Gigacatalyst works under the hood:<p>1. Agentic API discovery: Our agents go through your app and parse your endpoints, query params, request/response shapes, and sample data to build the base layer.<p>2. Generation and Validation: When a user describes what they want our AI generates an app. We set up multiple validation steps, including static checks, runtime error analysis, and LLM-as-a-judge.<p>3. Sandboxing and Compilation: We wrote our own compilation and sandboxing framework to get the fastest speeds and lowest costs. This means that users can interact with the built app in seconds.<p>4. Proxy layer: We create a proxy layer for all APIs to handle auth, tenant isolation, and rate limiting. Everything the agent has access to is controlled, logged, observed, and version controlled.<p>After 2000+ daily users, 900+ apps built, and 70% 30-day retention, today we're opening a public demo.<p>Try it: <a href="https://app.gigacatalyst.com/">https://app.gigacatalyst.com/</a> - enter your SaaS product's API URL (or just the homepage) and start prompting.<p>If you're serving a variety of use cases, you probably deal with a lot of custom requests and Gigacatalyst will save you time and increase your bottom line. Book a meeting at <a href="https://gigacatalyst.com/#contact">https://gigacatalyst.com/#contact</a> and I'll help your team and customers build new functionality on top of your platform.<p>I've been reading Hacker News since I was 12 years old. I'm proud to launch for all of you and I want to hear your feedback on my product and comments!