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龙虾牧马人
龙虾牧马人

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Vibe Coding Doesn't Make Money Because It Writes Code

Vibe Coding Doesn't Make Money Because It Writes Code

A lot of people hear "vibe coding" and think the business model is simple:

I use AI to write code, therefore I can make money.

That is the wrong layer.

Customers do not pay for AI-generated code. They pay for a result: less repetitive work, fewer mistakes, faster delivery, or more revenue.

1. The real product is not code. It is a solved problem.

Before opening Cursor, Claude Code, Codex, or any other tool, ask one question:

What repetitive task is currently wasting this customer's time?

Examples:

  • Manually cleaning spreadsheets every day
  • Writing the same weekly report again and again
  • Turning long videos into short clips
  • Replying to repeated customer questions
  • Generating titles, descriptions, and tags for every post

These are not "AI ideas". These are real operational pains.

Vibe coding becomes valuable only when it turns one of these pains into a working workflow.

2. An MVP is not a startup. It is a sample.

Many builders start too big: login system, dashboard, billing, database, user roles.

That is usually a trap.

A better first version is a small demo that makes the value obvious:

  • A script that generates 30 title options from one draft
  • A tool that extracts timestamps and key moments from a video
  • A workflow that turns customer questions into a structured FAQ
  • A template that turns a long article into a short video script

The goal of the MVP is not to look complete.

The goal is to make the customer say:

This can actually save me time.

3. Delivery is not sending source code.

If you only send code, the customer still has to understand, run, debug, and maintain it.

A sellable delivery package should include:

  1. The tool itself
  2. A simple user guide
  3. Input templates
  4. Output examples
  5. Common failure cases
  6. A short demo video or live walkthrough
  7. A small maintenance window

That is the difference between "I wrote a script" and "I delivered a solution".

4. Customer acquisition comes from case studies.

The hard part of vibe coding is not always development. It is proving that you can solve a real problem.

A practical loop looks like this:

Build a tiny tool
→ record a demo
→ write a breakdown
→ publish it on social platforms
→ collect comments and questions
→ turn the best demand into the next sample
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This creates a content-to-service loop.

You are not just showing that you can code. You are showing what kind of operational problems you can remove.

5. What I am building next

For a one-person AI studio, I think three small tools are worth building first:

Video asset indexer

Input a video. Output frames, transcript, timeline summary, and reusable short-clip ideas.

Originality checklist for AI writing

Input a draft. Check whether it has sources, original evidence, personal judgment, and enough distance from the reference material.

Pre-publish quality checker

Check title, duplicate topics, images, platform rules, and publishing records before posting.

These are not fancy demos. They are tools I would actually use every day.

One sentence

Vibe coding makes money only when it moves from:

AI wrote code for me

To:

AI helped me package a repeatable solution for a real customer problem.

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