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deepan_s

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https://thelovetab.com

I have been spending most of my free time on it for a while. It's a chrome plugin that shows random tweets from the user's like list, every time a new browser tab is opened.

A few of my friends have been using this tool for the past few weeks and the feedback is positive so far.

This is my first side project that has reached the launch stage.

You are spot on. Learning to me in this context is exactly what you have described "the ability to adapt to solving new problems". For e.g. within a social context a learning can be "when there is a mistake evaluate the intent rather the result". Another one related to work can be "Approach a product sale with an intent to solve the customer's pain and not to close the deal". There are too many of these learnings and many of them are deep. Thats why, I was wondering will one be able to get to the depth when many such learnings are reviewed at one go once every few months.

"I try to build systems that don't rely on sustained human discipline or the necessity of shoehorning into known organization units." +1 I completely agree on this.

The doc should have grown over time. Do you just append to the doc as you learn something new or do you organise learnings within the doc. I am asking this because if there is no structure there wouldn't there be too much of context switches when you go over them ?

This approach works well for knowledge pockets where the discovery of application of knowledge is naive. When you want to extract a tar file and don't remember the command your brain know you have saved the command somewhere in a log and you can find it. But think of knowledge areas where you have to connect a few different learnings together to form an intuition on the application of knowledge to a problem.