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Soup.io > News > Technology > This ChatGPT App Made Me $300K in 30 Days – Then I Sold It
Technology

This ChatGPT App Made Me $300K in 30 Days – Then I Sold It

Cristina MaciasBy Cristina MaciasJuly 7, 2025No Comments5 Mins Read
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This ChatGPT App Made Me $300K in 30 Days - Then I Sold It
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ChatGPT helped me build an AI app that scaled fast – and sold faster

I didn’t plan to start a tech company. But ChatGPT gave me the building blocks of a tool that went viral, generated $300K in revenue, and was acquired by a mid-size SaaS startup – all in 30 days.

I’m not a developer.
 I didn’t raise money.
 I just solved a simple problem with a ChatGPT wrapper, good prompts, and a clean UI.

Here’s exactly how I built, scaled, and sold the app – and how you can do the same with nothing but an idea and Chatronix.

ChatGPT became the backend for my no-code SaaS idea

The original problem was simple: my friends in sales couldn’t write fast, personalized outreach emails. So I asked ChatGPT to help.

Prompt:

“Write a cold outreach email to a tech lead at a fintech company. Keep it under 100 words, casual tone, personalized based on their latest blog post.”

The results were. Better than the copywriters they hired.

I realized – if I could turn this into a form-based app, I could sell it.

So I used:

  • Bubble for front-end
  • Make for API automation
  • ChatGPT API for the brains

In 48 hours, my AI email generator was live.

ChatGPT wrote my landing page, help docs, and onboarding flow

Once the MVP worked, I used ChatGPT to handle the rest.

Landing copy prompt:

“Write a landing page for a tool that writes cold outreach emails using ChatGPT. Tone: modern, confident, efficient.”

It returned:

“Say goodbye to boring cold emails. Generate high-converting, personalized outreach in seconds. Powered by ChatGPT – built for closers.”

I used ChatGPT again to:

  • Create explainer videos scripts
  • Write onboarding emails
  • Draft a Notion-based help center

I never touched Figma or hired a copywriter. GPT handled 80% of the build-out.

ChatGPT also powered content that went viral

To get traffic, I turned to content marketing – with GPT at the helm.

Prompt:

“Write 5 Twitter threads about using AI to automate outreach. Include screenshots, numbers, and real use cases.”

One of them blew up:

“How I used ChatGPT to write 30 personalized emails in 3 minutes – and booked 5 calls.”

That tweet brought 7,200+ visits in 48 hours.
 Revenue went from $0 → $8K → $50K → $300K.
 All from viral posts and organic buzz.

I tracked performance and refined everything inside Chatronix

As things scaled, I needed clarity. Chatronix became my operating system.

Inside , multi AI chatbot I managed:

  • 💡 Prompt versions – testing which tone worked better
  • 📊 A/B testing outputs from Claude, Gemini, and ChatGPT
  • 📂 Workflow history – for replicating winning results
  • 🧪 Built-in AI detection preview (to keep things “human enough”)

I wasn’t guessing.
 Chatronix showed me exactly which prompt got the most engagement, conversions, or replies.

Want to go from idea to exit with no code?

Your stack starts at Chatronix

Table: My Full App Workflow (30 Days to $300K)

PhaseToolAction
Idea validationChatGPT“What are common bottlenecks in sales outreach for tech founders?”
MVP buildBubble + GPT APICreated form to input: name, company, offer → generates email
Landing copyChatGPT“Write a confident headline + subheadline for cold email AI tool.”
MarketingGPT + ChatronixCreated threads, blog posts, LinkedIn content. Tracked winning prompts.
OptimizationChatronixPrompt versioning, AI detection checks, Claude rewrites, Gemini cleanup
ExitFlippa + InboundBuyer offered $300K after trying tool. GPT wrote deal summary + pitch.

Bonus: The Prompt That Created My Killer App

Here’s the exact meta-prompt that made the tool click:

Prompt to ChatGPT:

Act like a B2B sales pro. Create a prompt template that generates personalized cold emails using GPT-3, based on name, company, industry, and last blog post. Keep the output short, confident, and CTA-focused.

Then I asked Claude to rewrite that prompt:

“Make this sound more human, like a smart SDR sending a casual but effective message.”

Final version:

“Hey [Name], loved your post on [Topic]. Made me think – we built a tool for [Problem] that might save you some time. Want me to send a quick demo?”

That template powered the whole app.
 And buyers LOVED that they didn’t have to touch the prompt logic.

Why I Sold It – and What Happened Next

By week 3, I was burned out.
 DMs. Demo requests. Feature bugs. Endless Stripe pings.
 So I listed the app quietly on Flippa.

ChatGPT wrote the listing:

“AI-powered SaaS tool generating $10K/week, built in 48 hours with GPT API. 90% automation, minimal support. Ideal for acquisition or growth team.”

A sales tool startup contacted me.
 We negotiated for 5 days.
 $300,000 cash + 5% backend rev share.

Exit secured.

Final thought: You don’t need to code – just prompt like a builder

I didn’t build an AI app.
 ChatGPT did.
 I just gave it the right instructions.

Claude made it sound human.
 Gemini made it smarter.
 Chatronix made it repeatable – and scalable.

You don’t need to be a tech founder to make $300K.
 You just need the right prompt stack.

Start building yours → Chatronix.ai

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Previous ArticleI Made $100K Selling a Notion Template – ChatGPT Did 80% of the Work
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Cristina Macias
Cristina Macias

Cristina Macias is a 25-year-old writer who enjoys reading, writing, Rubix cube, and listening to the radio. She is inspiring and smart, but can also be a bit lazy.

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