u/Orlando_Wong

When did your side project stop being “just a hobby”?

A few creators I follow only started taking their side projects seriously when things got financially tight — like dealing with debt or needing extra income fast.

For me, it’s a bit different. It’s not that I have no financial pressure, but the main driver is wanting more freedom long term — especially the idea of retiring earlier.

That’s what pushed me to take my side project more seriously.

Curious how it was for others:

What was the turning point for you?

Was it financial pressure, burnout, or something else?

I’ve been thinking about this after playing more Pickleball lately — do you ever lose track of the score mid-game?

With the way scoring works (especially in doubles), I feel like it’s surprisingly easy to get confused. Between calling out three numbers, keeping track of server order, and only scoring on serve, there are definitely moments where everyone pauses and tries to figure out where we’re at.

I know some people are really good at tracking it, but in more casual games it feels like not everyone is paying attention, and it ends up falling on one person to remember everything.

So I started wondering: what if this could be automated?

The idea would be to set up a small camera by the court and have it track the game in real time, figure out when a rally ends, and update the score automatically. Ideally it could even call out the score between points so no one has to think about it.

I’m curious how people here feel about something like this. Would you actually use it, or is keeping track of the score just part of the game for you?

Hi all,

I’ve been thinking about a computer vision idea based on a pretty common annoyance. When playing badminton casually, people often lose track of the score mid-game, and most existing solutions require manual input, which interrupts the flow.

I’m wondering if it’s feasible to build a system that can track and update the score in real time using just a single camera. For example, placing a wide-angle camera by the court and letting it figure out when a rally ends and who won the point.

My main question is how realistic this is in practice. It feels challenging because the shuttle is small and fast, and there aren’t always clear signals for who won a point.

Has anyone seen similar work or tried something like this? Or would this be too unreliable without multiple cameras or a more controlled setup?

Curious to hear your thoughts.

Hey everyone,

I’ve been running into this a lot when playing with friends — we’ll get into a good rally, keep playing, and then suddenly realize… no one is sure what the score is anymore. It turns into a quick debate, or we just guess and move on.

I know there are scoring apps and even smartwatch solutions, but in practice they all need someone to tap after every point, which kind of interrupts the flow. Most of the time we just don’t bother.

So I started wondering if there’s a better way to do this. What if you could just set up a small camera by the court, let it record the game, and have it figure out the score automatically using computer vision? Ideally it could also call out the score between points so no one has to think about it.

And if you’re already recording the game, it feels like there’s more you could do with it — like pulling out highlight moments after the match, or even giving some basic feedback on positioning or shot selection.

I’m curious how people here feel about something like this. Would you actually use it, or does it feel unnecessary for casual games?

Has anyone here tried Canva Magic Layers yet?

I’m curious what your main use case is. Is it mostly for tweaking AI-generated images, or more about turning images into reusable design assets?

For small edits, it feels like other tools that support editing specific regions can already handle this. So I’m wondering where this really stands out for you in practice.

Would love to hear how people are actually using it.

I've been thinking about this a lot recently and wanted to hear what the community thinks.

With the rise of AI coding tools and autonomous agents, it feels like we're moving toward a world where workflows can be defined directly in code (or even natural language), instead of using visual tools like n8n.

From my perspective:

• AI coding tools seem to offer much higher flexibility and extensibility
• They can potentially handle edge cases and error handling in a more dynamic way
• You’re not limited by predefined nodes or integrations

On the other hand, n8n’s biggest advantage seems to be:

• Visualization (you can clearly see and debug the flow)
• Lower barrier for non-developers
• Faster iteration for certain use cases

But here’s the part I’m really curious about:

If we combine AI coding with something like codebase visualization tools (e.g. “deep wiki”-style tools that map and explain code flows), wouldn’t that reduce or even eliminate n8n’s core advantage?

In that scenario, you’d have:

• AI generating and maintaining the workflow
• A visual layer explaining the logic
• Full control via code when needed

Curious to hear how others are thinking about this.