Are we overusing AI in startups to the point of creating fake problems?
Everyone’s building “AI-powered” everything ; pitch decks, recipe generators, inbox summarizers, self-coaching apps, dog emotion detectors (okay, maybe not that one… yet). But how much of this actually solves a real problem? It feels like we’re entering a phase where startups throw AI at any idea just to look innovative, not necessarily useful. Sometimes it feels like we're creating problems...
How do you build community around a product, not just on a platform?
A Discord or Slack group is easy to spin up — but real community is a different story. What’s worked for you when turning early users into true believers and contributors?
What’s the most underrated way to gather feedback from your users?
Everyone talks about user interviews and surveys — but what about the less obvious methods? Would love to hear your unconventional (but effective) ways to learn what users really think.
What's your go-to stack for building fast, scrappy MVPs in 2025?
Speed is everything when validating ideas. Whether you're solo or in a small team, what tools let you ship something real in days, not weeks?
🧠 What makes a chatbot feel genuinely helpful — not just another gimmick?
We’ve all interacted with bots that feel more like barriers than assistants. But every now and then, one actually makes things easier or even delightful. What separates the two — UX? Tone? Intelligence?
