Ritt is a productivity app for Windows 10 that provides a revolutionary way to efficiently organize your files and folders into a lightweight database, using hierarchical tags. It complements your existing file system and gives you powerful new ways to classify and retrieve your files.
Traditional file managers (e.g. Folder Explorer in Windows) operate under a simple premise: store a file at a certain location and access it from the same place. While easy to use, they have one main limitation: one file can only reside at one location. This can be problematic.
Say we have the following folder structure for work.
We can browse to find a file quickly if we remember which Project it is under. Otherwise, we will waste time looking through every project folder until it is found (or we give up!).
Ritt is built on top of the existing file system and provides many useful functionalities.
The central object in Ritt is the tag 🏷️. Unlike most other tagging systems, a tag in Ritt can contain other tags as children, so tags can be ordered hierarchically as tag trees. A tag can also be associated with many files and folders, and a file/folder can have many tags.
In our example, we realize that each project is divided by subfolders into phases or stages. In Ritt, we can create a tag tree called Lifecycle, add four children tags that represent different project phases, and assign the relevant tag(s) to each subfolder.
This Lifecycle tag tree provides an alternative path of accessing our files and folders. We can create as many tag trees as necessary, each representing a class of attributes of our file/folders.
We can even locate our resources by selecting multiple tags, in Boolean union or intersection mode.
With Ritt, we can
Anyone with many layers of nested folders that can logically be classified and accessed in more than one way can benefit from Ritt. In this use case, you would be mostly tagging folders. See the previous example for more information.
Anyone who has a large portfolio of items (photos, videos, CVs, scientific data) will also find Ritt very useful. Say that you are a professional photographer, and you have a huge portfolio of previous work to showcase to prospective clients. A common folder structure to organize your portfolio is by Year → Event name. Say you are meeting with a new client who is interested in indoor photography in a concert hall with a modern theme. You have done similar work before, but you might not remember the year or name of the project. With Ritt, you can better manage your portfolio by creating two tag trees: Location and Theme.
This way, you can easily retrieve the desired photos by selecting relevant tags in intersection mode.
Managing a portfolio of some form is very common. Some examples include:
|Photographer, Videographer, Youtuber, Interior designer||Photos and videos of previous work|
|Teacher||Test questions, worksheets|
|HR manager||CVs of applicants, prospective clients|
|Scientist, PhD student||Experimental data, journal articles|
|Journalist, blogger||Previous stories and articles|
|Programmer, Developer||Code snippets|
Ritt is an acronym for Representation of Independent Tag Trees. It is conceptualized in 2017, development began in 2018 and the first version was published in the Microsoft Store in September of 2019. The current version is v0.2.1 and it is still under active development. We expect v1.0.0 to be released around late 2020 to early 2021. Ritt is created by Xiaoye and Joyce Chen, a husband-and-wife team from Singapore.
We do not collect any personal information, files, data or metadata. Ritt uses your internet connection to send generic information of usage, anomalies and crashes for debugging purposes only. This information cannot and will not be used to identify or track any individual.