Lotti

Lotti is a tool for self-improvement centered around these core beliefs:

1. Long-term outcomes in life can be improved by following good routines and establishing good habits, such as healthy sleep, mindfulness and improved self-awareness, healthy eating, enough physical activity and the like. Technology is essential when trying to establish and monitor good habits. Paper-based checklists are undesirable.
2. Habits need to be monitored long-term. The 21-day habit theory, stating that it takes three weeks to form a new habit and then subsequently sticking with it automatically is questionable at best, and the only way to ensure that habits identified as important are actually followed is to monitor them.
3. Any comprehensive attempt at tracking and monitoring the aforementioned areas of life will result in collecting far more data than anyone should be willing to share with anyone else, especially not a startup.

Lotti is a tool for improving life via establishing good habits and monitoring their outcome, without having to give up any information. All collected data stays on your devices, with encrypted and entirely private synchronisation between your devices.

Lotti currently supports recording the following data types:

• Habits, which can be defined and tracked. Habit tracking then involves recording daily completions, which can successes, failures, and also skipping the completion in case a habit could not be completed due to external circumstances.
• Health-related data which can be imported automatically, such as steps, weight, sleep, blood pressure, resting heart rate, and whatever else can be recorded in Apple Health (or the Android equivalent).
• Custom data types, such as the intake of water, food, alcohol, coffee, but also exercises such as pull-ups, you name (and define) it.
• Text journal entries.
• Tasks, with different statuses to track their lifecycle: open, groomed, in progress, blocked, on hold, done, rejected.
• Audio recordings, as spoken journal entries, and also audio notes, for example when working on a task and documenting progress and doing a quick brain dump that can be useful when picking up a task again later.
• Time, as in recording time spent on a tasks, and also a related story.
• Tags for better organization and discoverability of journal entries.
• Stories, a special tag type that is useful for reporting time spent on tasks related to their respective stories.
• People, a special tag type with no additional functionality yet, only a different tag color.

Example from blog:

• Intervention lifecycle. The app is already useful for monitoring interventions but the interventions themselves currently remain implicit, insofar as I can imagine and invent such interventions in my mind and then build a dashboard for tracking success and failure. In future versions, the lifecycle of interventions shall be made explicit, by defining them in the first place, and then reviewing and refining them.
• Better Reporting how time is spent.
• Upfront planning of time budgets.

Please check out HISTORY.md for all the information on the project's history and back-story. You can find the previous version in the meins subdirectory.

• Lotti is private and does not share any information with anyone - see the [Privacy Policy] (https://github.com/matthiasn/lotti/blob/main/PRIVACY.md).
• Lotti is open-source and everyone is encouraged to contribute, be it via contributing to code, providing feedback, testing, identifying bugs, etc.
• Lotti strives to be as inclusive as possible and any request for improved accessibility will be addressed.
• Lotti is supposed to become a friendly and welcoming community of people who are interested in data, improving their lives, and not or only very selectively sharing their data in the process. Please head over to [Discussions](https://github. com/matthiasn/lotti/discussions) and say Hi.
• Localization. Lotti aims to be multilingual and to be available in as many different languages as possible. Currently, that is English and German, with [French](https://github. com/matthiasn/issues/936) in progress. Please create [issues](https://github. com/matthiasn/lotti/issues) for languages you would like to see.

Lotti is currently available for beta testing. The aim is to have pre-release versions available on GitHub Releases. Currently, there are build issues blocking the pre-release on some of the aforementioned platforms and help would be much appreciated.

Development is primarily done on macOS and both the iOS and macOS versions are available for beta testing via Apple's TestFlight. Please get in touch with the [author](https://github. com/matthiasn) if you are interested in participating in the tests, the email address can be found in the profile. The aim is to get Lotti out on all app stores in 2024.

• Introducing Lotti or how I learned to love Flutter and Buildkite
• How I switched to Flutter and lost 10 kilos

1. Install Flutter manually, see instructions.
2. Download and install Android Studio
3. Clone repository and go to ./lotti
4. Run flutter pub get
5. Run make watch or make build_runner for code generation
6. Open ./lotti in Android Studio

These purpose of these instructions is mainly to reproduce the dev environment quickly, for the distribution or operating system versions named below. Please feel free to amend missing steps or add a section for your favorite distribution and raise PRs for those.

Please make sure your Flutter environment generally works with a fresh starter app however before raising issues that are related to your Flutter installation.

Thanks!

Tested on macOS 12.3: no additional steps necessary. You only need to have Xcode installed.

Tested on Ubuntu 20.04.3 LTS inside a virtual machine on VMWare Fusion:

1. In addition to the common steps above, install missing dependencies:

$ sudo apt-get install libsecret-1-dev libjsoncpp-dev libjsoncpp1 libsecret-1-0 sqlite3 libsqlite3-dev
$ flutter packages get
$ make build_runner

In case the network in virtual machine not connecting after resuming: $ sudo dhclient ens33

Please create a PR with instructions for Windows if you find anything that is required.

This project uses Buildkite for releasing to TestFlight on iOS and macOS, plus publishing to GitHub releases. The following steps are necessary for setting up a new runner:

1. Install [Buildkite agent for macOS](https://buildkite. com/docs/agent/v3/macos)
2. Install create-dmg for bundling the DMG file for GitHub releases

HELP WANTED: The Windows version is not yet published on GitHub releases. On Linux, a snap release could be helpful. Help needed.

Contributions to this project are very welcome. How can you help?

1. Please check under issues if there is anything specific that needs helping hands, or features to be discussed or implemented.
2. Now that the project is coming out of the initial prototyping stage, the test coverage needs to become much better. Any additional tests are welcome, including code changes to make the code easier to test.
3. For new feature ideas, please create an issue first and pitch the idea and we'll discuss.