Notes on building, and on finding out if it actually works
Real stories from building Jellar, and what happens when AI-built products meet real human testers.
Why People Abandon New Productivity Apps
Most productivity apps lose the majority of users within days. Here is why people abandon new productivity apps, and how to test for it before launch.
Can You Actually Make Money With Vibe Coding?
Yes, you can make money with vibe coding, but not the way viral posts claim. The honest version: what actually works, and what quietly wastes people's money.
Feedback Questions for Testing a Productivity Tool
The real feedback questions for testing a productivity tool - and how to write them so people answer honestly instead of just being polite.
Is Your Website Idea Worth Building?
Is your website idea worth building? The most reliable signal is more concrete than a gut feeling - here is how to actually check before investing real time.
Is Vibe Coding Actually Safe for Real Apps?
Is vibe coding safe for real apps? An honest look at whether vibe coded software is secure enough for real users, and the habits that close the gap.
Can a Vibe-Coded App Actually Be Production-Ready?
Can a vibe coded app be production-ready? Here is what actually determines whether it holds up for real use, and where the real risk tends to hide.
What a $600K Cut Reveals About AI-Built Software
A company replaced a $600K enterprise contract with AI-built software in two months. Here is what that decision reveals about speed, risk, and testing.
A Pre-Launch Testing Checklist Before You Go Live
A practical pre-launch testing checklist: how many testers you need, what to check across devices, and how to decide what gets fixed before you go live.
How to Get Real Feedback on a Vibe-Coded App
How to get real feedback on a vibe coded app: structure your requests so testers surface the problems worth fixing before launch, not polite praise.
Why AI-Built Products Need Human Testing
AI can build a product in hours, but only human testing confirms it works for a real person. Here is what human testing catches that automated tools miss.