Welcome back!

Everyone wants to know how ChatGPT can make you rich right?

Well… we spent hours going through the entire process of building your very own chrome extension, entirely with AI.

This could be your golden ticket if executed correctly.

We’ve created an end to end tutorial on how to do it from start to finish.

Let’s jump into it.

But First… Why Chrome Extensions?

If you want to build a mini-product without building a full-blown app, Chrome Extensions are perfect.

Here’s why:

• Quick to prototype: You can test out useful ideas in a day

• Massive reach: The Chrome ecosystem has billions of users

• Ideal for AI-powered tools: You can easily plug into AI APIs and ship fast

🧠 Step 1: Scoping Out the Idea with ChatGPT

Since we own so many Instagram accounts, I wanted to create something for fellow social media managers and content creators who regularly research audience feedback.

This is where we came up with an idea: The Instagram Comment Scrapper

I ran the idea past ChatGPT and asked it to help define what a minimal version would look like:

Prompt (Feel free to copy/paste):

“I want to create a Chrome extension that lets me right-click on any Instagram post, extracts the top comments, summarizes the main sentiments or questions in those comments, and suggests 5 comment ideas or hooks I can use in my own content. I’m not a developer — break it down into easy MVP features and technical steps.”

The AI helped define this simple scope:

• Comment Extractor: Grabs visible comments from public Instagram posts

• Sentiment + Topic Analyzer: Uses AI to summarize recurring themes

• Idea Generator: Returns 5 suggestions (questions, hooks, phrases) tailored to your niche

• Clean Popup Display: UI that shows the insights and lets users copy ideas

• Light Settings Panel: Optional setup for content type and niche

I also asked it to outline a basic file structure and how the extension should work across content scripts and background processes.

💻 Step 2: Building with Cursor + AI

Once the concept was clear, I opened Cursor — my go-to AI code editor.

Here’s how I approached building it in layers:

1. Set Up the Comment Extractor

I had the extension listen for right-clicks on Instagram posts. The AI helped me write a content script that scraped the top comments from the page HTML.

It wasn’t perfect at first — Instagram’s DOM is messy — but Cursor helped debug the exact selectors.

2. Add AI Analysis

Once I could extract comments, I passed them into an API call (I used GPT-4 in this case). The AI analyzed tone, patterns, and recurring questions. It then generated 5 new comment hooks for content creators to try.

3. Build the UI

The popup needed to show the original post, key takeaways, and the AI-generated comment ideas. Cursor helped me lay this out cleanly using simple HTML/CSS.

4. Add a Settings Page

Lastly, I added a very basic settings page to let users select what kind of tone or format they wanted (e.g., witty, professional, questions-based, etc.).

Everything was saved locally in the browser — no database needed.

Reminder: Don’t try to make it perfect on Day 1. Just get it working and refine later.

🌍 Step 3: Launching on the Chrome Web Store

Once everything worked, I published the extension.

Here’s how to do it:

Pre-launch Checklist

• Asked AI to scan for security issues or unnecessary permissions

• Removed test code

• Checked for hardcoded API keys

Assets & Branding

• Used Canva to generate the icons in required sizes

• Took screenshots of the extension on a few Instagram posts

• Wrote a store description using AI (just asked it to rewrite one from a similar tool)

Upload

• Zipped the extension folder

• Went to Chrome Developer Dashboard

• Paid the $5 dev fee and uploaded everything

Privacy Policy

AI helped me create a short privacy policy hosted on Notion, clarifying that user data stays local and only comments are processed via API.

Submit

After final checks, I submitted it. The extension was approved in under 72 hours.

📝 Key Lessons

Creating a Chrome Extension is a practical, fast, and rewarding way to build a useful product—even if you’ve never written code before.

Here's a summary of what works:

• Start small. One key problem. One simple solution.

• Let AI guide the build. Use tools like Cursor and ChatGPT to generate, debug, and iterate your code.

• Don’t over-polish early. Get it working → get it public → refine later.

The @chatgptricks post of the week

People are using ChatGPT to commit tax fraud….Do not try this 😅 

chatgptricks

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Want to chat with us? Feel free to connect with us on Linkedin:

👉 Louis Gleeson

👉 Ivan Acuna