For the first year of building Murror, DAU was the number we checked every morning. It was the first thing on our dashboard, the first metric in every team meeting, and the number we used to judge whether a feature was working.

Then one day we noticed something strange: our DAU was climbing, but our NPS was dropping. People were opening the app more often, but they were less happy with it. Some of our most engaged users were showing signs of what we started calling "compulsive checking" opening Murror out of habit rather than intention.

As one year comes to an end and a new one begins, I find myself pausing to reflect. If you had the chance to say something to your future self to the version of you in 2025 and 2026, what would it be?

Looking back, I want to thank myself for how much I pushed through this past year:

• For finding a job I genuinely value, even after going through a long period of stress and fear of unemployment

• For speaking up and sharing my own perspectives at work

• For choosing action over just talking

• For walking away from toxic and unnecessary work relationships

• For daring to learn new things outside my original field of study

• For letting go of some comforts and entertainment to focus more on my health

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 first started building Murror, I spent a lot of time studying other AI wellness apps. I tracked their features, analyzed their onboarding flows, and mapped out where we could differentiate. I thought our competitive advantage would come from being smarter, faster, or more accurate than them.

I was completely wrong about where the real competition was.

Our biggest competitor was never another AI product. It was the user doing nothing. It was the journal sitting unopened on the nightstand. It was the therapy appointment that kept getting rescheduled. It was the voice in someone's head saying "I will deal with this later."

The moment we understood this, our entire product strategy shifted. We stopped optimizing for feature comparisons and started optimizing for the moment of emotional resistance that split second when someone feels something difficult and has to choose between sitting with it or pushing it away.

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.

Every AI product I see launching right now is racing to add the most impressive, most complex AI feature they can build. Autonomous agents. Multi-step reasoning. Real-time analysis of everything.

When we started building Murror, we fell into the same trap. We wanted to build the smartest emotional AI possible. Something that could analyze patterns across months of conversations, predict emotional states, generate deep psychological insights.

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.

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.

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.

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.