One of the hardest conversations we had at Murror was about a pattern we kept seeing in the data.
Some users were journaling every single day. Multiple entries. Long, thoughtful, beautifully written reflections about the same thing over and over a breakup, a falling out with a friend, a decision they couldn't make.
I have been thinking about this a lot lately: why do so many AI products feel interchangeable?
You open one, you open another. Different logo, different color scheme, same experience. A text box. A chat interface. Some version of "ask me anything." The wrapper changes but the feeling does not.
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.
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.
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.
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?
I m curious. Do you usually work with music on? Do you have go-to songs or playlists that help boost your energy and creativity while working?
Personally, I like starting my mornings with chill instrumental piano music to ease into the day. Later on, I switch to R&B, pop, or something more upbeat to keep the momentum going. Recently, I ve been vibing with:
Love - Keyshia Cole
So Easy (To Fall in Love), Man I Need - Olivia Dean
Running Up That Hill - Kate Bush
End of Beginning - Djo
Moonwalkin - LNGSHOT
Damn right - JENNIE, Childish Gambino, Kali Uchis
Keshi s playlists in general
What playlists or songs have you been listening to lately while working? Really curious to discover what everyone else is into
Is there something you feel you missed and if you could go back, would you make the same decision, or choose differently?
I ve only recently started my professional journey, working at a startup that builds an app. I don t have a long or glamorous career yet, nor a lot of experience. But one thing I do regret is not trying to work earlier, and instead spending most of my time buried in academic studies.
When I finally entered the workplace, I realized that much of what I learned in school was no longer aligned with the market or the speed at which things evolve. The job required soft skills that textbooks and theory never taught. I learned quickly that without self-learning and constant adaptation, it s easy to fall behind.
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.
