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I built a full proof-of-concept for an app idea… and then scrapped the entire thing. Here’s why — and the new idea I’m building instead. If you’re exploring app ideas to make, app ideas to build, or want to understand how AI can help validate app ideas for projects, this episode shows the real indie-dev process: mistakes, pivots, and finding an idea with real demand. In this episode, I walk through: Why my LinkedIn content creation tool wasn’t worth pursuing How a 2-hour AI-assisted proof of concept exposed the flaws Why search demand matters when validating app ideas The turning point that led me to a much better idea A first look at the native Mac YouTube Optimizer I started building How I’m using AI, Cursor, and Codex to move fast while staying authentic My plan to reach 10K MRR by building an app I’m actually excited to use myself CHAPTERS 0:00 – Why I scrapped my first app idea 0:31 – Building too fast with AI 1:03 – The proof of concept that changed everything 2:05 – Why LinkedIn content tools don’t rank 2:32 – Applying the 2-2-2 validation method 3:10 – Discovering a better app idea 3:41 – I started building my YouTube optimizer 4:56 – First look at the Mac app prototype 6:00 – Keyword research & market potential 7:10 – Competitor analysis and early insights 8:12 – Analytics and consistency tracking 9:10 – Using AI to improve titles & descriptions 10:09 – What’s coming next on the road to 10K MRR 👍 Like & Subscribe If you liked this video, consider subscribing to my channel: / @avanderlee If you’re enjoying this indie app journey, hit Like and Subscribe so you don’t miss the next episodes — including building the landing page, shipping the TestFlight version, and turning this app into a real business. #appideas #buildinpublic #indiedev #youtubetips #aitools