... spent weeks building an iOS app and got to the point where it's almost ready to launch. What surprised me is that I'm now spending more time thinking about distribution, pricing, and getting the first users than writing code. For those who've launched mobile or Mac apps: What was the biggest surprise after launch? What would you do differently if you were starting over? I'm hoping this discussion can help first-time makers avoid common mistakes ...

... prompt engineering wizard). The Problem: People are getting frustrated with LLMs giving them robotic "walls of text" because their prompts are too vague. But manually typing out <role> tags or Markdown headers every time is tedious. Furthermore, almost every "prompt generator" out there is a paid, black-box wrapper that logs your data. The Solution: A transparent, 100% free, local-first wizard that forces you to use the RTF framework and automatically formats the syntax for Claude ... ... exactly the right swap! It's the same trap in enterprise IT and in most launches here, just dressed differently (feature list vs

... incredibly good, I d even say almost perfect. And for many people, that uniformity of perfect templates is starting to feel annoying. For example, a few days ago, someone publicly showed that they built Anti-Grammarly a tool that intentionally adds mistakes to text instead of removing them (to make it feel more human). But the tool itself is AI, so it s a bit contradictory. 1) When we re so flooded with AI-generated content, do you have ... ... humans were pushed into the same handful of SEO-friendly templates before generative AI became widespread. Comment from Riley Hansen(@riley_hansen): @saad_el_gueddari  Agree! I actually think that's a good thing. It's not AI vs

... months, our most requested feature at Murror was a chat function. Users wanted to talk to the AI the way they talk to a friend. It seemed obvious. Every competitor had it. Every feedback form mentioned it. So we built it. And within two weeks, our core metrics started dropping. Session length went down. Return rate went down. The thing users said they wanted was actively making the product worse. Here is what we discovered when we dug into ... ... guided path, it became clear something deeper was off. That was the signal that made us pull the feature rather than try to iterate on it. @Gilmore - Yes, that shift has been fundamental for us. We now treat almost