Users need the ability to easily modify the precise time a meal was consumed, rather than just the logging time, in nutrition tracking apps.
I used to track nutrition intake using an existing app out there. I have pretty high requirements for tracking: I want to be able to easily adjust the actual ingestion time, have frequent meals that I can quickly access again, have rollover calories, and a few other features. I used existing apps because I didn't want to spend the time making my own app. Didn't seem worth it, an app takes a long time to develop. Then I decided a month ago that the dynamics of this equation have changed with LLMs. I coded a custom app in about 6 hours with the help of LLMs (mostly Cursor). After a month of using the custom app I decided to assess the time savings (I track the time I spend entering data using another custom app lol) to see if it was worth it. Verdict? Yes absolutely. Time spent entering data using my custom app is significantly lower (p=7.79e-6), and saves me about 19 hours per year of data entry. I haven't factored in software updates and maintenance, but even in the worst case that I have to re-develop the whole thing in 6 hours every year, still a savings. The best part about all this is that at the end of it, all my data is accessible for analysis directly through an API I can interface with using an LLM. The age of hyper-optimizing our behavior through data-driven self-analysis is here!