You know how it is. You’re a busy professional. Your industry changes rapidly due to new technology and new threats.
You read widely to ensure your career doesn’t get left behind. You devour news articles, social analysis, Medium stories, pithy Facebook posts, long Twitter threads. You want to know how this affects you tomorrow. 👓
But you can’t remember what you read last week!
And how can you? The internet is a battleground for our attention! You can’t remember what you’ve read if you don't process it, and you can’t process it when you have Instagram, and Facebook, and chat. 📱
I created Commoncog to help you with exactly that. 🙏
Every article you read can be highlighted in Commoncog. When you’re done, Commoncog asks you to record your takeaways. 🤔
Twice a week, you get summaries of your takeaways emailed to you. (You can tell it to stop if you’re done with that particular article.) 📬
When you want to remember what you’ve learnt, you run a search. 🔍
You may also tag your takeaways with a topic tag, for browsing later. 📖
Eventually, your collection of links and your takeaways serves as your external brain. You’ll see Commoncog as a log of ideas that you want to remember. 💡
This is why I call Commoncog an idea bookmarking service. 💡📚
My name is Cedric. I created Commoncog for myself. This software is how I track ideas for my career growth.
Commoncog’s blog is where I write about building career moats in a world of rapid change. I update it twice a week, and I use Commoncog to track the ideas I write about. Here are the latest posts:
Regret minimisation is often in direct conflict with optimising for career outcomes. A short reflection.
The mental model fallacy is that it’s worth it to read descriptions of mental models, written and aggregated by non-practitioners, in the pursuit of self-improvement and success. It isn't.
If Seymour Papert was right about how humans learn — what does it mean for learning mental models for our careers?
Greg Wilson's Teaching Tech Together is ostensibly about teaching computer programming, but contains a wonderfully written section on how humans learn.