u/Educational_Cost_623

Working remotely over the past year, I have been moving between Bali, Lisbon, and Mexico City, typically spending four to six weeks in each location.

I initially wasn't paying much attention to how often I was flying, but following a few long-haul, back-to-back flights it started to seem excessive both in terms of logistics and just in terms of energy. I have lately been trying with being more selective about when I move and staying longer in each area.

Just to have a sense of the scope, I also became interested in the impact side of it and started calculating a few of my flights with a tool. Though it did not drastically alter my plans overnight, it did make me ponder more on how frequently I am moving versus remaining.

To anyone who has been doing this for a long time, did you find yourself naturally slowing down your trips over time, or do you still travel often across continents?

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u/Educational_Cost_623 — 16 days ago

Lately I’ve been thinking about how much of an online business can depend on one platform. Everything feels stable until an account issue suddenly slows down cash flow, operations, and customer communication at the same time.

I was reading some material AMZ Sellers Attorney and it made me wonder how many founders actually plan for marketplace risk before something goes wrong.

For those building businesses on Amazon or other marketplaces, is account risk something you actively think about, or only after it becomes real?

reddit.com
u/Educational_Cost_623 — 16 days ago

I have a client in the Amazon seller legal space, and I've been reading about other sellers' experiences here. One thing that keeps coming up is that a lot of first appeals talk about how the suspension affected things, but they don't always clearly say what caused the problem or what changed after it.

It seems like the explanation itself can still be the part that slows things down, even when sellers fix the problem at its source. I've seen this come up when reading Amazon Sellers Attorney materials, but I'd rather hear from sellers who have been through it themselves.

If you were reinstated, did your first appeal work, or did it take a few tries before you figured out what Amazon really wanted?

reddit.com
u/Educational_Cost_623 — 18 days ago

For a while, I kept running into the same problem when texting people. I would send something I thought was normal or straightforward, and later realize it came across more blunt or cold than I intended. It wasn’t anything intentional, but it happened often enough that I started paying more attention to it.

That’s what led me to build Tonely AI.

I wasn’t trying to create anything big at first; it was more of a personal fix. The idea was just to get a sense of how a message might sound before sending it, especially in situations where tone matters more than the actual words. But once I started working on it, I realized how messy the tone really is. Short messages don’t carry much context, and even humans don’t always agree on whether something sounds friendly, neutral, or rude.

The harder part wasn’t even the detection itself; it was figuring out how to present the feedback in a way that feels useful instead of annoying or overbearing. If it’s too loud, people ignore it. If it’s too subtle, it doesn’t help at all. That balance turned out to be more difficult than I expected.

It’s still early, but building it made me realize that tone sits in a strange space between language understanding and human perception, and it’s not as straightforward as I initially thought.

As anyone else here has worked on problems where the technical side feels manageable, but the human interpretation side is what makes it complicated.

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u/Educational_Cost_623 — 18 days ago

We’re building a product centered around AI that runs mostly on-device instead of relying heavily on cloud processing. The main idea is to give users more control over their data while still delivering a useful AI experience.

Who it’s for: people who care about privacy and don’t want their data constantly sent to external servers.

Why it might matter: a lot of AI tools today depend on cloud infrastructure, which raises concerns around data usage, latency, and long-term trust.

What we’re trying to do differently: instead of going cloud-first, we’re exploring a more local-first approach where as much processing as possible happens directly on the user’s device.

Right now, we’re still very early; we only have a simple website/landing page up to test interest and see if this direction is even worth building further.

I’d really appreciate feedback on a few things:

  1. Does this “on-device AI” direction actually solve a real problem in your opinion?
  2. Would privacy alone be enough to make you try something like this?
  3. Is validating with just a landing page + early signups still a good move, or should we build a small MVP first?

Happy to share more details if anyone’s curious, just trying to learn and improve what we’re building.

Thanks in advance

u/Educational_Cost_623 — 18 days ago