Launch Your First SaaS with AI

1. Research

Build something that people would pay for.

Here're few ideas:
- Build something that you're struggling with in daily workflow. Solve your own pain.

- Find a market gap. Analyze what's missing in the market. How new AI tech can fill this gap.

- Clone something. If a company is charging big bucks, clone there core features and resell to their customers.

- Read trend reports. Data never lie. Find a trend that your passionate about and ride the wave.

If you work with these 4 strategies, I'm 98% sure you'll have a product idea in next 7 days.

2. Structurize your Idea

After you find your idea you need to:
- study competitors (cuz there's always someone)
- research web to collect stats, facts around that idea.
- study market cap, b2b or b2c model.

Use o1 pro, ChatGPT search, Perplexity to collect data and make a brain dump file (store everything related to that idea in that file)

This exercise will make you grounded. You have data to support that you're upto something.

Now you need to turn that idea into the product.

Use GPT o1 to have a long chat. Just paste your thoughts, what you want to create?

What can be the features in MVP?

what should be your offer?

Traget audience?

Pricing etc.

This will help you create a Product Draft.

3. Use @CodeGuidedev to turn your idea into Project Development Plan

- Pick a template from Templates section (SaaS web App)

Paste the Draft you've refined with o1 and fill technical details according to your project.

Then ask AI to refine that draft (optional)

4. Select AI tools you want to use for your Project

Use Cursor for complex SaaS applications.
Use Bolt. new for MicroSaaS applications.
Use Claude to guide you throughout code process.

Once you select your Tools, Hit Next.

5. Answer AI Questionnaire

CodeGuide will Understand the Draft you shared + the tools you selected and then find:
- Is there any importnat information missing?
- is there any clarity that is required?
- is there anything confusing?

And after analysis it will ask 10 Questions.

Now you can use "mic" to speak out your answer or type the answers.

To get help, you can use "AI answer" feature as a foundation and refine it further by yourself.

You can also skip an question.

6. Generate Your Project Outline

It's a bit of everything:
- Introduction of your project
- Core Features
- Tech Stack
- List of Documents you need.

Once you read through, and approve the Outline, you'll land on Docs Generation Page.

7. Create All Required Project Development Documents

One-by-one generate all documents.

You can select an paragragh and edit that specific piece of text with AI (just instruct it and it'll rewrite)

You can regerate the whole document by clicking on the "Custom Instructions" bar and add your instructions.

You can aslo create custom docs apart from the recommended list of docs.

Once you're done you can hit "Download all" and it'll download a zip folder containing all docs on your local machine.

8. Attach these Docs to AI Coding Tools

These docs are like a <Knowledge Base> for AI models so they know what to build, what tech stack to use, what features to code, how the user flow would be etc.

Based on the tools you've selected, I also added a screen to guide you further, what to do with those docs.

9. Once you Attach your Documents

Now its time to start coding.

I start with the frontend first so you can visualize how the app would look like, and if there's any functionality missing, you can add.

You get all your screens coded and make them clickable, and all pages should be inter-linked.

Once that is done, now you can work with the backend (database to run your app on servers) and storage (to store images, or videos)

10. Last step is Debugging and Deployment

Test all features and check if the frontend and backend are working properly.

Is there any errors (there will be) so just get them fixed.

And prepare your app for deployment.

If you use Bolt, you can use Netlify to deploy (already integrated)

If you use Cursor, I'd lean towards Vercel, (fast, secure and cheap deployments)

If you use Replit, then Replit has its own deployment structure.

Bottomline:
1. Select an idea that people pay $ for.
2. Research -> study competitors and market.
3. Use GPT o1 to dump all research and your thoughts.
4. Paste your o1 draft to CodeGuide and get your dev docs.
5. Attach these docs to AI coding tools.
6. starting coding. Frontend first then backend.
7. Debug and make project ready for deployment.
8. Launch your MVP. Talk to customers. Make sales.
9. Get user feedback, refine product, Iterate fast.
10. Scale it to $10k/MRR and leave 9-5 job.