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You described an idea to an AI, watched it write the code, and now you have a working app. A weekend of prompts did what used to take a small team a month.
That feels like the finish line. It is not. A working app is not yet a business. It becomes one only when a specific person wants it enough to pay, return, and tell a friend. Vibe-coding made the build cheap, which means the build was never the hard part. The hard part is still ahead: finding who this is for and proving they care.
This post is the playbook for that next step.
When building is slow, you are forced to think before you type. When building is instant, you skip straight to shipping. That is the trap.
The common pattern looks like this. You build something clever, post it, get a few claps, and then nothing. No signups that stick, no one willing to pay. So you do the only thing that feels productive: you add another feature. Then another. You are busy, the app keeps growing, and none of it moves the needle.
The problem is almost never the code. It is that nobody decided who the product is for. More features aimed at no one in particular just make a bigger product aimed at no one in particular.
So before you open the editor again, stop adding and start answering one question: who exactly is this for?
Every later decision - what to build next, where to post, what to charge - depends on knowing your buyer. In product terms, this is your ideal customer profile, or ICP: the specific person your product is built for.
"Everyone" is not an ICP. "Developers" is not an ICP. A real ICP is narrow enough that you can answer three questions without guessing:
If any answer is "it depends," your buyer is still too broad. A fuzzy buyer quietly raises your cost to find users, leaves you with no clear channel, and keeps willingness to pay low.
The fix is rarely a different product. It is usually the same product pointed at a sharper buyer. We cover the full method, with a real worked example, in Know Your ICP. Read it before you write another line of code.
A sharp buyer is a hypothesis. Now you test it, and you do not test it by building more.
The fastest tests cost little:
If you cannot get ten of the right people to care, no feature will save the product. That is good news: you learned it in a week instead of a year.
A great product with no path to its buyer is a hobby. Most vibe-coders lose here, spraying effort across every platform and getting thin results from each.
A sharp ICP hands you the channel. A specific buyer already gathers somewhere: a subreddit, a Discord, a professional group, a newsletter, a device community. Pick the single place your buyer already visits and show up there consistently. One channel done well beats five done badly.
If you cannot name that place, your buyer is still too broad. Go back to Step 1.
Price is not a reward for finishing. It is part of the test. A free user tells you a feature is nice. A paying user tells you the problem is real.
You do not need perfect pricing. You need a number in front of the right buyer. Pick a price that matches the value you promise, put it where people can pay, and learn from who flinches and who does not. "I would pay for that" means nothing until a card number proves it.
After a few weeks of real signals, you will face one of three honest outcomes:
The goal of this whole playbook is to reach that decision fast and on evidence, instead of drifting for months on hope and feature creep.
Three of these steps are research problems, and that is what PreVibe is built for.
Your first research is free, so you can test your current idea and a sharper version of it and watch the score move.
You already proved you can build fast. The next edge is knowing what to build, for whom, and whether it is worth building at all. Start with Know Your ICP, then turn research into a plan with our guide to product research methods.
Finding the buyer is one half. The other half is that AI-generated code often is not ready for the people you worked so hard to attract. It ships fast, but it can hide security holes, slow queries, and shortcuts that break the moment real traffic arrives. And even when the code works on your machine, a lot of vibe coders hit the same wall: they have no idea where to deploy it or how to get it live safely. The first paying customer is the worst time to discover any of that.
Kometo Labs, the software team behind PreVibe, helps founders take a vibe-coded prototype to production. That includes a code audit of what the AI wrote, a security review to close the gaps before users find them, performance work so the app holds up under load, and deployment - picking the right hosting and getting your app live, without you guessing your way through it - plus the rest of the preparation that gets a product launch-ready.
They build AI-driven apps for a living, so they know exactly where generated code tends to cut corners. You keep what you built. They make it production-ready from day one.
If you want experts to harden your product before launch, talk to Kometo Labs.
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Follow the proven sequence of research methods successful founders use to go from idea to product-market fit.