Original Summary

A year ago, building a working SaaS MVP could take me weeks. Now I can give an AI agent an idea in the morning and have something surprisingly usable running by the end of the day. At first I thought this was basically a cheat code. Build faster → test more ideas → eventually find something that works. So I started doing exactly that. Step 1: Build I stopped treating development as the expensive part. Instead of spending months polishing one idea, I started building small but functional prototypes extremely quickly: Landing page Product UI Database Authentication Core feature Deployment Things that used to consume most of my time suddenly weren’t the bottleneck anymore. And that created a strange problem. I could build products faster than I could prove anybody wanted them. Step 2: Reality This is where things got painful. A working product does not create distribution. A beautiful landing page does not create urgency. And adding AI to something definitely does not automatically make people care. You can now spend three days building something that would have required a small team a few years ago... ...and still launch it to complete silence. So I started paying much more attention to what happened before development. Do people already spend money trying to solve this? Are they complaining about the problem publicly? Are ugly/manual solutions already being used? Can I reach those people without spending thousands on ads? Would anyone care if this product disappeared tomorrow? Step 3: What changed My biggest realization was this: AI didn’t remove the risk of building startups. It moved the risk somewhere else. Building used to be expensive. Now attention, distribution, and finding a problem painful enough to pay for are expensive. And because everyone can build faster, there are also dramatically more products competing for the same attention. The ironic part is that AI made me write less code... ...and spend much more time studying humans. What I’m doing differently now I try to invalidate an idea before improving it. I treat distribution as part of the product, not something that happens after launch. I care more about existing behavior than people saying “cool idea.” I avoid building another generic AI wrapper unless I can explain exactly why someone would switch. I’d rather discover that an idea is bad in three days than after three months. In 2024 I thought the advantage would belong to people who could build with AI. In 2026 I think almost everyone will be able to build. The advantage will belong to people who can figure out what is actually worth building. Curious if other founders are seeing the same thing.   submitted by   /u/FinalBaseball7480 [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/10/3 16:59:43