展示HN：Gigacatalyst – 用嵌入式AI构建器扩展您的SaaS服务
嗨，HN，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，使您的SaaS能够支持长尾客户的工作流程，同时工程师不必偏离产品路线图。
当您向大型企业销售软件时，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，这意味着要么需要漫长的工程路线图，要么客户最终只能使用变通方法。
但如果<i>每个人</i>都能通过与AI对话来构建他们所需的关键功能呢？这正是我们在Gigacatalyst所做的。我们为您的客户、客户服务团队和销售团队提供一个AI定制层，使他们能够在完全不需要工程师的情况下构建这些缺失的关键工作流程。想象一下Lovable，但它是基于您的平台构建的。
我们连接到您产品的API，学习您的数据模型和设计系统，让非技术用户通过自然语言在您的产品内、您的品牌下构建受管控的应用。
以下是它在实际操作中的样子：<a href="https://www.youtube.com/watch?v=_taSpSphH6E" rel="nofollow">https://www.youtube.com/watch?v=_taSpSphH6E</a>
我们的一个客户，一家B轮公司，看到他们的用户（<i>不是工程师</i>——经理、运营人员、设施主管）构建了以下关键工作流程：
- 零件缺货预防：一位维护经理输入<i>“根据过去90天的使用情况，显示接下来两周内哪些零件将会缺货，并考虑供应商的交货时间。”</i>该应用跟踪消耗速度，预测缺货，并在为时已晚之前发出警报。他表示，这避免了约50万美元的紧急停机。
- 发票OCR从手机照片：技术人员经常丢失纸质发票。提示是：<i>“上传发票照片，提取供应商名称、日期、金额和项目，然后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。
- 餐厅紧急分诊：一家披萨连锁店的设施经理被维护请求淹没。他建立了一个优先级矩阵：“走进冷冻库不制冷”自动标记为紧急，“餐厅灯闪烁”标记为低优先级。他现在能够以正确的优先级管理积压的请求。
Gigacatalyst的工作原理如下：
1. 代理API发现：我们的代理会浏览您的应用，解析您的端点、查询参数、请求/响应格式和示例数据，以构建基础层。
2. 生成与验证：当用户描述他们想要的内容时，我们的AI会生成一个应用。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作为评判。
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进行交互。
4. 代理层：我们为所有API创建了一个代理层，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。
经过2000多名日活跃用户、900多个构建的应用和70%的30天留存率，今天我们开放了公共演示。
试试吧：<a href="https://app.gigacatalyst.com">https://app.gigacatalyst.com</a> - 输入您SaaS产品的API URL（或仅输入首页）并开始提示。
如果您服务于多种用例，您可能会处理大量自定义请求，而Gigacatalyst将为您节省时间并增加收益。请在<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。
我从12岁开始就一直在阅读Hacker News。我很自豪能为大家推出这个产品，并希望听到您对我的产品的反馈和评论！
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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!