This project was abandoned for another cause. But the awesome @ejain is keeping up the good fight with Zenobase, you should definitely check it out.
A webapp for logging and analyzing data generated by our daily lives so that we can optimize for what matters to us.
Towards a better tomorrow, today!
Essentially a tool to aid in instrumental rationality, giving the user the ability to log, analyze and act upon the results to optimize for things like productivity, mood but also help the user grow good habits and get rid of bad ones.
If you are interested in how this whole thing got started, and why we think it is important, read What would you do with your data?
- Mood, productivity, alertness logging
Logging of subjective measurements of mood, productivity, alertness several times daily. - Sleep logging
Lets the user input their bed- and wakeup-times in order keep track of total sleep time, sleep regularity and, if data is available, deep sleep time. - Habits
Lets the user log their good and bad habits in a way that encourages users to keep doing the good ones and stop doing the bad ones.- Implements streaks (also known as the "Seinfeld method") making the user aware of their progress, good or bad, essentially creating a feedback loop.
- Gives the user the ability to log physical activity and see how it affects their lives.
- Cognitive performance logging
By importing results from services like Quantified Mind one can get an indicator of cognitive performance. - Drugs & supplements logging
Enter information about the intake of psychoactives such as caffeine, nicotine, alcohol or supplements to see how it affects the user. - Body stats
Log more long-term changes such as weight, body fat, body composition and measurements to see how they change over time. - Analyze the data to find out what logged variables and habits leads to what outcome
This is a difficult task, but one we hope to be able to do better and better with time. - And a lot more...
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Doesn't it take a lot of time to log everything?
It doesn't really take that much time, and we live in a world where more and more of our data could be delivered automagically which is something we hope to be able to do more and more as humanity makes technological progress. -
Is it worth the effort?
This question is yet to be answered fully by a large sample, but we think so yes (we wouldn't do it otherwise). Much work remains to be done and we believe that this can improve to the point where it becomes standard practice for every person that wishes to improve themselves. -
This sounds like an incredible data-source to mine, will this be done?
We too see the potential to use users logs to get access to data otherwise expensive and timeconsuming to create, it poses a significant data privacy threat however, one which we take very seriously. So this is an open question, we hope that we can do this without violating the privacy of our users, if we can't we wont.
These are currently only propositions, and are subject to change.
- Go or Python 3.2+ (with Flask)
- MongoDB
- Vagrant
- Chef or Puppet (probably Chef as I'm already used to it)
If Python is chosen it will use PyMongo and Flask-PyMongo for MongoDB integration.
- Bootstrap
- SASS
- Backbone.js
- Angular?
Erik Bjäreholt - erik@bjareho.lt