Every time I ask AI for a quick code snippet, its default reaction is to tell me to npm install a brand new library even for basic utility stuff like array formatting or date math.

Before you know it the codebase is bloated with small single purpose packages that nobody wants to maintain. We already have solid built in helpers in our main codebase but the model completely ignores them unless I spell it out every single time.

How are you nudging your AI tools to look at what's already in the repo before pulling in extra dependencies?

Every notes app I tried had the same shape: a list on the left, a note on the right. And every one of them slowly became a filing job folders to maintain, notes to name, a structure to keep tidy before I could write anything.Hejour has no sidebar and no note list. There's one page per day. Today is always the page you land on. If something belongs to Thursday, you type @ and write a section for Thursday it shows up on both days.The thing I didn't expect: without a list, there's nothing to organise, so there's nothing to fall behind on. Two weeks of not writing leaves no mess.What's the one feature you'd remove from the notes app you use now? I'm genuinely collecting answers.

I had a drawer full of torn-out magazine pages, handwritten recipe cards from family, and stained printouts. It was impossible to search through efficiently. Then I moved all my recipes to a beautiful digital cooking app with searchable tags and ingredient filters. It was seamless. And I lost something I did not expect. I stopped discovering forgotten recipes while flipping through the stack, and I lost the handwriting and notes written in the margins by people I love. I kept a small stack of the original, messy cards on the counter. Not for cooking convenience. For the memories.
Have you ever digitized a sentimental collection and realized that the "friction" of the old way held all the emotional value?

I've been preparing a product launch recently, and I keep noticing how easy it is to find one more reason to delay it.

There is always another bug to fix.

One thing I've learned while building software is that there's a difference between successfully deploying code and knowing the application is ready for real users.

A deployment can complete without errors, the application can load, and the main features can appear to work.

But that doesn't necessarily mean everything is functioning correctly.

For example:

I used to think low growth just meant my marketing wasn't loud enough. Every week was a scramble for fresh traffic while people who signed up a month ago were quietly slipping out the back door.

It wasn't until I actually reached out to a few active users to ask why they almost quit that I realized how many tiny, stupid bugs were driving them crazy things I could have fixed in an afternoon. Pouring money into ads feels productive but it's totally useless if the house is leaking.

Do you track why people leave or do you mostly focus on getting new ones in?

When we launched, we were extremely generous with our free plan to lower the barrier to entry and get initial traction.

It worked for growth, but now a significant chunk of our active daily users rely on the product heavily without ever needing to upgrades. Whenever we consider shifting certain features behind a paywall, we worry about pushing away the early adopters who helped build our community.

How do you restructure your pricing tiers to drive conversion without frustrating the free users who generate word-of-mouth momentum?

Early on, moving fast and breaking things was essential to hit our launch dates. We shipped fast, but we built up considerable technical and design debt along the way.

Now, every new feature takes twice as long to build, and minor bugs are starting to creep into production. However, taking a full sprint just to refactor code and clean up UI debt risky when users are constantly asking for new roadmap items.

How do you strike the right balance between maintaining shipping velocity and taking time to refactor foundation work?

In our early stages, we celebrated every spike in sign-ups, assuming sign-up growth equaled product adoption.

A few months later, we noticed a frustrating gap: users were creating accounts, exploring for two minutes, and leaving without reaching their aha moment. Our onboarding flow was trying to explain everything at once instead of guiding them to the single core action that delivers value.

How do you simplify your onboarding flow to boost early activation without hiding the deeper functionality power users need?

Someone told me they almost quit during onboarding. Not because it was broken. Because they could not tell if they were doing it right.

There was no feedback, no confirmation, no sense of progress. Just steps that seemed to accept input and move on without telling them whether the input was correct.

I had built onboarding for someone who already knew the product. For a new person, it was a hallway with no lights.

I added one thing. A small confirmation after each step that said what just happened and what comes next. Completion went up 30%.