Principles
To ensure that Maya fulfills its purpose properly, we follow 6 principles, as presented on the home page, starting with number 0 (a reference to dev…). I will give a more detailed explanation of why each one is in this wiki.
Knowledge by Design
We hate tools that take things from the beyond. We consider both empirical things (based on the scientific method) and philosophical knowledge (ancient and abstract teachings that have stood the test of time). We make our adjustments when necessary, but we will not recommend you to follow something just because we believe in it, never. Knowledge is the foundation of Maya.
Immutable Privacy
One of the things that bothers us the most in most applications is the false sense of security. Your data is always “safe” according to big tech, but safe for whom? For them? We do not believe in that. You have full control and rights over your data, and that is immutable. We will not promise privacy and then use fancy words to define what the word means because the company could go bankrupt. One of the rules of entrepreneurship is to have all the necessary pieces in place before trying to checkmate. And that is why our code is closed. We love open source and have always been fervent members of the community, but the reality is that most of the time it is not sustainable. Everyone needs to eat and have a place to sleep, right?
Just like with a physical product, here you give your money, not your data.
People over tools
Inspired by the first principle of the Agile Manifesto, we do not accept focusing only on the tool. That would not only break the first principle, but would also be foolish. We believe in the power of the brain, and we have knowledge about it. It makes no sense to create something for humans to use that was not 100% thought out with how that person’s brain will react.
We want you to focus on evolving in your life, not on using the tool. You are not a robot, you are a human.
Control over abstraction
Throw away extremely simple tools. Many people live on the false premise that simplicity is everything, but they make a mistake in where they put it. Simplicity should be contained in your brain, it is the one that will connect the pieces, let the machine deal with the complexity. You don’t have to think about everything that’s going on, but you do need to have control and access to the data. Just like in chess, with Maya you’ll have all your pieces in play.
Your future behavior will be the result of the aggregate of past actions and decisions, as well as factors that you do not even have control over. Therefore, you must have knowledge of what you did, why you did it and how you should change for the better. We use a full logs philosophy for this. You will see more about it in the next sessions.
Maximum Integrability
Three very important things should be said:
- Maya is not an all-in-one tool. This type of software is usually always the same. Repeated features that are easily replaceable. I have lost count of how many applications have ridiculous task systems.
- We’re just getting started. Our knowledge base has been in the works for a long time, but the app’s journey has only just begun. We don’t have much at the moment, and there’s still a lot to be done. That’s why we’ll focus 100% on what Maya does best: showing you what productivity is.
- You’re free. Just because we’re just starting out doesn’t mean we’re afraid of you jumping ship. We have solid principles and confidence in our product and its potential. That’s why you’re free to use your data however you want, with whatever app you want. We even have an API for that.
The air of the transparency
This wiki is one of our proofs of how honest we are with you. All the knowledge about how to use Maya is on this website — as well as philosophical and neuroscientific knowledge, at no cost. In other words, we don’t have fine print.
Conclusion
We probably won’t be able to answer questions about everything related to Maya directly, but we assure you that we will do our best to do so and that we will not break your trust, as that is what we value most.