u/MrRobot00007

I’m the person building FastQRMenu.

A friend of mine owns a restaurant. During busy hours, his problem wasn’t getting customers. It was handling all their orders without putting too much pressure on the waiters.

They had to move between tables, explain menu items, take orders and make sure nothing was missed.

Printed menus were another problem. When he wanted to change a price, add a new item or remove something unavailable, updating every menu wasn’t simple.

I didn’t start with a big SaaS idea. I first wanted to fix this one workflow.

I built a system where every table has a QR code. Customers scan it, see the menu and place their order from their phones. The restaurant can receive the order through a dashboard or WhatsApp.

The owner can update the menu without reprinting it and customize the QR code with the restaurant’s logo and colors.

The most interesting decision wasn’t actually the QR code. It was deciding how much new software a restaurant should need to learn.

A dashboard gives the restaurant more control, but WhatsApp is already familiar and may be easier for smaller restaurants. I’m still trying to understand which workflow restaurant owners would actually prefer.

For anyone who has built or sold restaurant SaaS: did owners prefer using a dedicated dashboard, or did adoption become easier when you integrated with tools they already used?

I recently released Statistics Solver, a Chrome extension designed for students who need more than just a final numerical answer.

The workflow is simple:

1. Screenshot a statistics question from a webpage, PDF, or learning platform
2. Receive a step-by-step solution
3. Review the interpretation, formulas, and charts
4. Ask follow-up questions without leaving the extension

It currently covers probability, confidence intervals, hypothesis testing, chi-square, correlation, and regression. It also tries to identify common mistakes such as choosing the wrong tail, using incorrect degrees of freedom, or rounding too early.

The extension is still very new, and I’m looking for feedback on:

• Whether the screenshot workflow feels intuitive
• Whether the explanations are clear enough
• Which statistics topics should be added next
• Whether students prefer concise answers or detailed tutoring

Chrome Web Store:
https://chromewebstore.google.com/detail/dhgjcjhkjbfionmhbdpppiaiehjbldpc

I built it myself, so feel free to be direct about anything that needs improvement.

Full disclosure: I’m the founder of FastQRMenu.

Small businesses often need QR codes for menus, WiFi access, business cards, flyers, packaging, or storefront signs. The frustrating part is that some generators appear free until download, or create a redirect that later requires a subscription.

I built a free generator for static QR codes. It requires no registration, has no scan limit, and the codes do not expire as long as the destination remains online.

It supports URLs, WiFi, vCards, text, email, and SMS, with custom colors, styles, logo placement, and PNG or SVG downloads.

I’m trying to make it genuinely useful for small businesses. Which use case or feature would matter most to you?

https://fastqrmenu.app/free-qr-code-generator/

I was getting tired of doing the same process every time I wanted to publish something:

Find a keyword.

Research the topic.

Figure out what needs to be covered.

Write the article.

Optimize it.

Format it.

Publish it.

So I tried automating the whole thing with n8n.

But there was one problem.

The obvious workflow:

Keyword → AI → WordPress

produced exactly what you'd expect.

AI slop.

Technically correct articles, but generic, repetitive and not something I'd be comfortable filling a website with.

So I rebuilt the workflow differently.

Instead of having one AI prompt do everything, I separated the process:

Keyword
↓
Research
↓
Collect context
↓
Plan what the article should cover
↓
Write
↓
SEO optimization
↓
Quality checks
↓
Final formatting
↓
Publish

And this ended up being the biggest lesson for me:

Generating the article is actually the easiest part.

AI can write 2,000 words in seconds.

Getting it to research first, understand the topic, structure the article properly and check its own output before publishing is where most of the work is.

Now I can start with something like:

“best CRM for small construction companies”

and let the workflow handle most of what I'd normally have to do manually.

I'm still testing and improving it on my own sites, especially the quality/SEO side.