Why: Most news apps are full of clickbait articles getting people to open them but not delivering the promised value. My hypothesis was that NLP was far enough to create good summaries and offering good summaries could save time for readers.
Tools: React Native (iOS/Android app using JavaScript), Firebase (database), Python (backend), PyTorch (the machine learning model I used was written using this library)
Reason to quit: The useful feature was summarization but I implemented it into my own news app that wasn't otherwise at the level of the alternatives like Google News. I found even myself using Google News without summaries as news were more relevant.
What I learned: Instead of creating the whole app, I should have started by creating a newsletter for niche markets and even do the summarization manually. Finding the easiest way to test a hypothesis is critical.