Spent the last few weeks building three connected apps and shared microservices with Lovable/Cursor. The first 80% went shockingly smooth, the demo-stage stuff always does. Then real usage started, and the integration between services and the admin dashboard started throwing constant sync errors. A few different AI coding tools could patch individual symptoms but never quite nail the root cause.
For anyone who's taken an AI-built app past the demo stage: what was the first thing that actually broke once real users or data hit it, auth, data consistency, service integration, something else? And did you end up digging into the code yourself, or bring in outside help to sort it out?
We all have that one repetitive thing. Takes 15 30 minutes. Feels like it could be automated. But you just keep doing it by hand. Every Friday, I manually copy data from three different dashboards into a Google Sheet, reformat the dates, and email it to my team. Takes 25 minutes. I've told myself "I'll automate this" for six months. Still doing it by hand.
I'm seeing more products launch on Product Hunt that require payment to actually use any features. No free trial, no freemium tier, just a download that leads straight to a paywall.
Part of me thinks this makes sense. If your product has real value, why give it away? People on Product Hunt understand they're looking at premium tools. Plus offering free access can attract users who will never pay anyway.
But I also see the argument for temporary free access during launch. Product Hunt users want to actually try what they're upvoting. How can they give meaningful feedback or become advocates if they hit a paywall immediately?
