I'm interested to hear what everyone has to say about this! Especially in tech, the world and people's needs are constantly changing. This means that the products we're creating have to change with it, and the most successful products tell people what they need before they know they need it. As exciting as this is, it's super hard too. Reaching out to fellow trailblazers: what do you think about this? What are some of the tradeoffs?

We re talking to mobile app founders about how they stay on top of user feedback. With reviews spread across Google Play, the App Store, and even CRM tools, it can feel like a full-time job just to know what s going on.

I m curious:

• Do you personally check reviews daily, or is it more ad hoc?

• How do you currently track and respond to reviews across platforms?

• Are you using any tools or custom setups to catch emerging issues early?

• What s been the hardest part of staying proactive with reviews (without burning hours every day)?

Hey folks

We re living in the golden age of AI tools from idea generation to design, marketing, customer support, dev workflows, and even fundraising decks.

But I m super curious... how are YOU actually using AI in your business?

What s genuinely worked for you?

One piece of advice we hear all the time in startups is: launch fast. Ship early, test with real users, and improve along the way.

But lately it feels like the landscape is changing. With so many products launching every day, sometimes a half-baked launch disappears instantly, while more polished products seem to get better traction.

So I m curious about your experience:
Is launching fast still the best strategy?
Or is it better to wait a bit longer and launch something more refined?
Have you seen examples where speed helped a product win, or where quality at launch mattered more?

Would love to hear how other makers here approach this balance between speed and quality.

One interesting thing I came across this week was that the CEO of Duolingo first declared intentions to use AI to replace contract workers in some positions. However, they later withdrew that comment, making it clear that AI will not replace its employees.

Ahh, this type of discrepancy appears to be happening more often, to be honest. The same thing happened to Klarna not long ago. That AI will take care of everything in one minute, and then, hold on: in reality, we still need human workers.

So many indie makers launch like this:

• alone.

• no hype.

• no crew.

• no plan.

• just vibes.

They think it s noble. if it s good, people will notice.

But here s the problem:

I always aim to raise topics and questions relevant to startups/products and my personal endeavors that others might relate to.

The threads usually start with an intro to the topic, my experience, and, lastly, ask others to share their experiences. I try to structure these parts into clear, error-free sections so that they are easy to read. I have never used AI, for what it's worth.

I've been thinking a lot about audience monetization lately, especially for founders and indie makers.

Many of us slowly build small but valuable audiences over time:

• newsletters about startups or AI

• niche blogs or dev communities

• SaaS products with engaged users

• waitlists or early adopter communities

• founder-focused X / Twitter audiences

At some point sponsorships start to make sense.

Even back in university, I noticed how much younger people (17 or 18 years old) were always jumping into some kind of trendy business model or income stream that happened to be booming at the time.

• First, it was dropshipping and flipping items.

• Then came NFTs and everything happening in the crypto space.

• Now everyone seems obsessed with quick vibecoded AI solutions and investment apartments.