AI淘金热里,卖铲子的无聊工具赢了

分类阅读笔记
· 进步分子, 投稿

AI 总结 · 连续创业者视角(以下内容由 AI 提炼,观点归原作者;读完可不看原文)

作者在AI热潮中发现,真正让SaaS跑起来的不是花哨的AI模型,而是Supabase(后端基础设施)和PostHog(产品分析)。这打破了“AI即一切”的直觉:AI负责生成内容,底层数据与用户行为洞察才是留存关键。适合正在用AI构建产品的创业者,提醒别忽视基建与数据层。

  • AI生成内容后需稳定存储/版本控制,Supabase等Baa
  • GA4受AI流量干扰失真,PostHog可获取真实用户行为数
  • 基础设施投入回报高于盲目追逐新AI模型,降低开发维护成本
  • 构建SaaS时优先解决Auth/DB/存储等基础层,再叠加A

原文全文(已完整内嵌,无需跳转外网)

During the California Gold Rush, hundreds of thousands of people showed up chasing gold. Most of them left with less money than they arrived with. The people who actually got rich weren’t panning in the river. They were named Levi Strauss and Sam Brannan, and they were selling pickaxes, tents, and durable pants to the guys who were panning in the river. Brannan bought every shovel in San Francisco before he told anyone gold had been found, then sold them at a massive markup once the rush started. Strauss just made pants that didn’t fall apart in a river. Neither of them needed to find an ounce of gold. They just needed everyone else to keep digging. I keep thinking about that story because it’s basically what’s happening right now with AI. Everyone’s Panning for Gold Every founder I know is deep in the river right now - myself included. A new AI model, new agentic framework, new AI coding tools, and AI assisted legal documents. We’re all convinced the next nugget is one prompt away. But the tools that have actually made the biggest difference in how I build over the last six months aren’t AI by themselves. They’re PostHog and Supabase. Neither one is AI by itself. They’re the shovels, tools, and the pants that were sold in the California gold rush. They’re marketing or infrastructure. And that’s exactly why they matter more than most of the AI tools I’ve tried this year. Supabase: The Backend I Stopped Thinking About Supabase is Postgres with the boring parts already solved. Auth, storage, a real relational database, an API layer, all set up in the time it used to take me to configure a single WordPress plugin. I’ve spent 20 years around WordPress, but I’ve spent just as long building web software before anyone called it SaaS. Back then we called it Web 2.0, which tells you exactly how long ago that was. I remember hand coding user sign up forms from scratch. Writing my own authentication from scratch. Building spam protection from scratch, back before reCAPTCHA existed, which meant rolling your own janky logic and still getting flooded with bot signups anyway. None of that was hard exactly. It was just tedious, and it was the same tedious every single time, on every single project. You’d rebuild the same login flow for the tenth time and think, someone should really solve this once so the rest of us stop solving it badly, over and over, forever. I know what “boring parts already solved” is worth, because I’ve spent two decades building the boring parts myself. With both PressMeGPT and InstantLadyBirdDeed, Supabase is the layer underneath everything the

原文 · HackerNoon:阅读原文 →

iMessage 邮件 联系我们
EN