Project
App for monitoring user status and analyzing data correlations
Date
January 2024
Client
Personal Project
Role
Fullstack Developer
Duration
~6 months
Status
Archived
PixelYear is a personal analytics app built around one core idea: your days generate data, and that data can reveal patterns you'd never notice on your own.
Each day you fill in customizable modules - sleep quality, physical activity, mood, whether you left home, your focus levels, etc. You score your day on a simple scale, and the app stores everything locally and privately.
After a few weeks, PixelYear starts surfacing correlations you wouldn't catch manually:
"On days you slept 7+ hours, you rated yourself 1.4 points higher on average"
"You consistently score better on days you left home before noon"
"Your worst weeks follow periods of low physical activity"
They're insights pulled directly from your own data. The app also generates targeted suggestions based on what actually works for you: "You should leave the house more often."
I built PixelYear because I wanted something between a journal and a spreadsheet: structured enough to generate meaningful statistics, but frictionless enough to actually use every day.
The first MVP version of this project is available on GitHub, the version from the screenshots is the second one, which is already in a private repository.
This project was made as part of my engineering thesis at AGH.
Currently, an advanced version of this project is being developed by me under the name Daynostic