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3mo ago

We trained our AI to ask fewer questions. Users started opening up more.

When we first built Murror's AI companion, we did what every AI product does -- we made it ask a lot of questions.

"How does that make you feel?"

"Can you tell me more about that?"

4mo ago

We built the AI feature everyone asked for. Then we watched it make things worse.

When we first launched Murror, the number one feature request was always the same: "Can I talk to the AI?"

Users wanted a chatbot. Something they could vent to, ask for advice, get instant feedback from. Every competitor had one. Every investor asked why we didn't. So we built it.

1mo ago

Your users will rate the flattering version higher. That's exactly why you can't ship it.

A Stanford study just put numbers on AI sycophancy the more your model agrees with people, the more they trust it, and the worse their decisions get. For makers, that means your happiest metric might be your most dangerous one.

There's a study from this spring that I can't stop thinking about, because it quietly indicts the way most of us measure whether our AI product is working.

3mo ago

I shipped a feature I can't fully explain. It works better than anything I've spec'd.

Something strange happened last week while working on a side project we've been building alongside Murror.

I described what I wanted a feature to do not how, just what. The AI built it. I tested it. It worked. Not just "worked" it handled edge cases I hadn't even thought of.

3mo ago

The hardest feature we ever shipped was silence.

Last quarter, our team spent three weeks building a feature that does... nothing.

When a user writes something deeply painful in their journal grief, heartbreak, feeling lost Murror's AI used to respond immediately. Empathetic words, gentle reflections, suggested reframes. Users loved it in surveys. Our response quality scores were excellent.

7mo ago

Telling your own story is just as important as telling the story of your product.

When I first started, I believed that as long as I built a great product, it would naturally become popular. But as I zoomed out, I realized the market is incredibly competitive. Having a good product alone isn t enough to truly convince users.

That s when I began building my presence on social media creating content about myself, sharing my journey, and talking about the product I m building. I ve come to see this as a very effective way to build trust and spark genuine interest not only in what I make, but also in who I am as a founder.

8mo ago

🌿 How did you welcome the first day of 2026?

Happy New Year, everyone. How did you spend the first day of 2026?

For me, the first day of a new year feels like the opening step of a long journey. So instead of rushing into productivity, I chose to begin 2026 by taking care of both my body and my inner world.

Here s how my Day One looked:

An early morning run, pushed myself 1km further to reach 7km
Wrote down all my goals for the year, both personal and professional
Repotted my flowering plant into a new pot
Cooked a nutritious meal for myself with Stranger Things series
Started reading a new book
Cleaned and reset my living space

3mo ago

Your users don't trust your AI. They shouldn't have to.

Six months ago we added an AI feature to Murror that we were sure would be a breakthrough. It analyzed journal patterns and surfaced emotional insights -- things like "you tend to feel more anxious on Sundays" or "your mood improves when you write about specific people."

The insight quality was genuinely good. We tested it internally, everyone was impressed.

3mo ago

We gave users a button to erase everything their AI knows. Our retention went up.

Three months ago, we added the most terrifying feature in Murror's history: a single button that lets users permanently delete every insight, pattern, and memory their AI companion has built about them. Months of emotional context, journaling patterns, relationship dynamics -- gone in one tap.

Our investors thought we were insane. Our product team debated it for weeks. The data team warned us we'd lose our most valuable asset: the personalization layer that makes Murror's reflections feel meaningful over time.

3mo ago

The best journal entries ended with users closing the app.

When we first launched Murror, we measured success the way most AI products do: how much are users interacting with the AI? How long are the conversations? How many follow-up questions are they asking?

The numbers looked great. Users were writing long entries, the AI was generating thoughtful reflections, and people kept coming back. We were building the world's best journaling chatbot.

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