Recent submissions

Comment · 1 year ago
Comment · 1 year ago
Thanks for the suggestion. Thats super interesting. Gamification does help with more engagement with the app. Will try to work on this after the first version :)
Comment · 1 year ago
Thats a good idea. Thanks for the feedback.
Comment · 1 year ago
For a first version, i imagine relying on week's data of user logs and pattern would be a good start. If can potentially iron out other factors that can affect the energy levels.
Comment · 1 year ago
Yeah i see what you are saying. Will try to figure out if we can manage a basic version initially with as less data from user as possible yet still being effective and valuable to user.
Comment · 1 year ago
Another fair point! The truth is, everyone’s ‘high energy’ is a little different. What my period of high energy is could be very different from yours. Its highly personalized hence we would require the user input here, what they think works best for them. Get their feedback on their energy levels through the day (asking them few times a day) and then sort of predict their high-productive hours for them to schedule their most important work during that time. Let me know if this sounds stupid or if it makes some sense.
Comment · 1 year ago
Those are valid points. Here would be my simple approach (tell me if you think it doesn't make sense or needs some adjustments):

Short, occasional check-ins: The app could nudge you (maybe just once in the morning, afternoon, and evening for a week) to rate how you’re feeling, with a tap or two — think 2 seconds, not 2 minutes.

Learn from your habits: After this “trial week,” the app would look for patterns. For example, if you usually feel sharp at 10am, that gets noted. No need to keep checking in all the time.

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton