Whether you work remotely or on-site, and who you work with, may not be the most important thing. What really matters is how you handle the situation.
Personally, I find myself quite flexible with both on-site and remote work. But as an introvert who isn t very strong at communication, I usually prefer working alone rather than in crowded environments and I tend to be more productive that way.
That said, I also realize that a lack of real human interaction can indirectly affect both the process and the final outcome of work.
When we were building Murror, we spent months perfecting our AI emotion analysis engine. Deep NLP pipelines, sentiment layers, the whole thing. We were so proud of it.
Then we launched, and you know what users kept telling us they loved? The simple daily check-in prompt. A single question that asks "How are you feeling right now?" before showing them anything else.
While building a product, I ve also been trying to run content on social media to bring in more traffic. I experimented with creating AI-generated characters and producing UGC-style videos around them.
During this process, I realized something interesting: there are hundreds of tools that can generate virtual characters and UGC-style videos. But what actually makes a video engaging isn t the tool - it s the authenticity of the person creating the content.
I joined Product Hunt about 2 months ago, and ever since receiving my first compliments and comments on our recent product launch, I ve truly felt how nice and supportive people here are. Everyone seems open to discussion, willing to help, and genuinely curious about what others are building.
At first, I thought it would be really hard for a newcomer like me to join such a big community. But it turned out to be much less strict than I expected - actually, it feels like a place with so much potential for us to grow together.
Every day on Product Hunt, I feel like I m learning or discovering something new. It s not just about upvotes. It s about ideas, feedback, and seeing how others think and build.
Every product dashboard I've ever seen tracks the same things: DAU, session length, retention, engagement loops. All of them answer one question is the user coming back?
But lately I've been thinking about a different question: is the user outgrowing us?
When I interviewed for my current company, I had a conversation with the Founder and PM that lasted more than an hour. Interestingly, only about 30% of the discussion focused on my experience which made sense, since my background wasn t directly related to the role I applied for.
The remaining 70% of the conversation was about how I approach real-world problems, my mindset toward the work I would be doing, and how I envisioned growing in the role. They also asked why I chose this product and company, what it meant to me personally, and how I hoped to contribute moving forward.
Since the AI era started booming, everything has been changing incredibly fast and it requires us to adapt just as quickly. AI is now part of both our work and daily lives. It slowly seeps into everything, and over time, it can even reduce how much we think and decide for ourselves. Of course, I won t deny the huge benefits AI brings.
But the more I saw how easily we can get carried away by it, the more I felt the need to slow down to step back and look at the bigger picture.
After spending time working with AI, I realized a few important things:
The builder internet has one dominant religion: ship fast, learn fast, iterate. And honestly? It's mostly right. I'm not here to argue against iteration.
But I've been noticing a pattern in products that actually lasted and it's uncomfortable: A lot of them were embarrassingly slow at the start. Not because the founders were lazy but because they were obsessive about the wrong thing to ship first.
Figma spent years just making the multiplayer cursor work flawlessly before talking about anything else. Notion had a tiny, nearly unusable v1 that they kept showing the same 500 people. Linear said no to mobile for two years while everyone said they were crazy.
I've been thinking a lot about what separates AI products that people actually stick with from those they try once and forget. The pattern I keep noticing is that the ones that win aren't necessarily the most powerful they're the ones that feel like they understand your context.
Think about it: most AI tools today are essentially fancy command lines. You give them an instruction, they spit out a result. But the products gaining real traction are the ones that remember what you care about, adapt to how you work, and meet you where you are emotionally not just functionally.
Everyone is talking about vibe coding right now. Let AI handle the code while you focus on the vision. It sounds revolutionary. So we tried it.
For one week, our team at Murror used AI coding tools for everything. New features, bug fixes, refactoring. We wanted to see if it could genuinely speed up our development cycle or if the hype was getting ahead of reality.