Before launching, almost every problem felt important. After putting the product in front of real people, it became much easier to see what actually mattered and what I had just been overthinking.
Still very early, but I m starting to feel like launching is less about saying the product is finished and more about finally getting better information.
Did your priorities change after your first users came in?
I believe the most important thing is for founders to have a deep understanding of their product's core users. A common mistake is that new features sometimes end up diminishing the experience for core users, which should be avoided.
In one of the newsletters I follow there is this quote. What do you think about it?
Chatbots comply with the user s wish to solve the problem on their own, even when this is impossible and may make matters worse. Chatbots, in fact, are not built to help, but to please. If you feel flattered when your LLM tells you how smart your question was (I certainly do), you are not alone: a pre-print from 2025 found that all major LLMs were highly sycophantic.
Genuinely curious how other builders here handle this, because I don't think there's a settled answer yet.
If your product generates text, summaries, descriptions, code comments, whatever using an AI model somewhere in the pipeline how much of that output do you actually check before a user sees it? Full verification pass?
Spot-checks?
Trust the model and fix things when users report them?
We recently updated one of our product pages by replacing generic product copy with detailed, benefit-focused descriptions, adding multiple lifestyle images, and moving key information higher on the page.
The interesting part wasn't just the visual improvement; it was how much more time visitors spent reading before deciding whether to buy.
It made us realise that shoppers often need confidence more than persuasion.
I'm curious whether others have seen something similar.
Community-driven product development is a huge advantage hearing directly from your users fuels better ideas and stronger loyalty. But it also comes with a classic challenge: feature bloat.
How do you decide which user requests to say yes to, and which to decline without alienating your audience? How do you keep your product vision focused and sharp when the feedback pulls in so many directions?
I d love to hear your strategies for balancing user-driven growth with staying true to your core mission. What frameworks or decision-making processes have worked for you?
Let s share best practices on how to build with community input without losing product clarity.
Noticed a weird split in my own habits lately. For anything I can phrase as a clean question, Google (or ChatGPT tbh) still wins, it's faster and I trust the top result.
But for messier stuff, like "I have half a workflow in n8n, half in Zapier, and I want to merge them without breaking my CRM sync", I go straight to Claude now. Not because it knows some secret answer Google doesn't have, but because I can actually paste my whole mess in and think out loud with it instead of translating my problem into a search query first.
