I have been managing several communities and doing marketing for over 3 or 4 years, and I have noticed a pattern where about 80% of people "test" you to see if you will do things for them for free.
I also notice that people from certain countries tend to do this more often. For example, Central and Eastern Europe + Southeast Asia.
On the contrary, people from the USA and China are willing to pay.
Whether you're a solo builder or part of a fast-moving product team, documentation always seems to lag just behind reality. Is it the speed of product changes?
Getting engineers or PMs to consistently update docs?
Whether you're a solo builder or part of a fast-moving product team, documentation always seems to lag just behind reality. Is it the speed of product changes?
Getting engineers or PMs to consistently update docs?
Slowly but surely, the Christmas holidays are approaching, which usually means more time at home with family and more movie binge-watching.
Yesterday I watched TV for the first time in a while, and they were playing Bezos: The Beginning (2023). A decent movie overall, even though it could ve been longer or had a sequel.
I don t think AI agents will replace support teams by 2026. What we re seeing across every company we work with is something different. AI becomes the foundation that handles volume, speed, and routine accuracy, while human teams shift into roles that require context, judgment, and empathy.
Most support leaders tell us the same thing: once AI removes the repetitive load, teams finally have the bandwidth to do the work that actually matters. They solve complex cases faster, focus on relationship-building, and deliver a better experience overall.
A tagline is the first piece of content a user will see about your product on the leaderboard. It's so important that you get it right. You should be able to get a really solid idea of what your product is just by reading a handful of words.
In the spirit of forever optimising our taglines, I wanted to do a little experiment:
A tagline is the first piece of content a user will see about your product on the leaderboard. It's so important that you get it right. You should be able to get a really solid idea of what your product is just by reading a handful of words.
In the spirit of forever optimising our taglines, I wanted to do a little experiment:
I think it was Robert Kiyosaki who said that straight-A students end up working for C students, and B students work for the government.
On the other hand, we often see stories of college dropouts building billion-dollar companies. But these next big thing cases are maybe 2% at most. I believe top students usually find their place in more formal paths: becoming doctors, lawyers, and similar professions.
I keep seeing the same pattern across early-stage teams:
the MVP works until it really doesn t.
For many founders, the hardest part isn t getting something online it s everything that comes after: infra that cracks under real users code that no dev wants to touch rewriting the whole stack AI-built projects no one can maintain the moment you realize your prototype isn t a product
I keep seeing the same pattern across early-stage teams:
the MVP works until it really doesn t.
For many founders, the hardest part isn t getting something online it s everything that comes after: infra that cracks under real users code that no dev wants to touch rewriting the whole stack AI-built projects no one can maintain the moment you realize your prototype isn t a product
I keep running into the same pattern with AI coding tools: I type a quick starter prompt, get something that looks promising for a moment, and then, inevitably, it collapses into messy code and outputs I never wanted in the first place.
I ve seen this happen to others too. The tool isn t the problem. The problem is the prompt. Or rather, the lack of structure, clarity, and intention behind it.
So I m curious:
How do you plan your prompts when working with AI for code generation? How much context and detail do you include up front? Do you start small and iterate, or do you specify the entire mental model before generating anything? What habits or prompting frameworks have actually helped you get clean, reliable code?
Hey everyone, sharing a small but meaningful milestone.
BeamUp finally got its first paid user, 5 months after launch. What made this really special is that the user came in organically, started using BeamUp with Google Drive, and upgraded on their own, without me reaching out or changing any messaging beforehand.
BeamUp is a no-code upload portal that lets people receive large files directly into their cloud storage, no servers, no backend, no retention.
Here s what surprised me: Even though someone understood BeamUp well enough to upgrade, I realized many visitors weren t actually understanding the core value from the landing page. The concept is simple once it clicks, but unfamiliar at first glance.
Every launch comes with new learnings. The platform is changing over time, but many things don t depend on the platform itself they depend on how you approach the launch: your pricing, customisation, or how early you show up, and more.
What did you learn from your launch, and what will you adjust for next time?
