📚 Taro Premium Event: How To Be A 10x Engineer And Quit Your Job with Alex and Rahul on 1/30/23
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"What is the growth plan for Taro Premium?" - 8/18/2022

08/20/2022

There are 2 core areas at play here:

  1. Empowering Taro Premium members to share their diverse wealth of perspectives and wisdom
  2. Tactical areas of improvement

Communal Sharing

  • Right now, Rahul and I are doing the thing that doesn't scale in true startup fashion: Providing the vast majority of career guidance ourselves.
  • However, not only does this not scale, we firmly believe that this isn't the right thing to do long term: Our perspectives are only 2 out of millions of incredible people working in tech.
  • Let me be frank: While we've had a diverse range of experience and pushed to understand as many angles of the tech scene as possible, our perspective is narrow. We've only worked in the Silicon Valley. We're around the same age. We spent the lion's share of our careers working at Meta. We're both Asian men. Because of this, there's a lot of stuff we don't know and aren't well equipped to talk about.
  • This is where the community comes in. At the time of release of this video, we have ~170 members in Taro Premium, and I've been blown away by the diversity of backgrounds present. If we can enable, reward, and empower all these incredible folks in tech to share their perspectives and help one another, we can create what is truly the greatest repository of tech career advice on Earth.

Tactical Stuff

  • Our main priority right now is opening up the Q&A career advice platform, so that all members of Taro Premium can easily ask and answer questions.
  • While this was recently made possible, there's still a lot lacking. There's no notifications to know when your question has been answered, and we all know that the UI/UX has a ton of room for improvement, especially on web.
  • We're working with a contract designer right now to completely overhaul the look and feel of the Taro web app.
  • Another thing we want to figure out is member matching. For now, we're mainly matching folks of similar level as the incentives get wonky when you pair folks of different levels. However, this "algorithm" is still quite naive, and we have a long way to go before we can sustainably have folks network with one another in a way where all parties feel like they got value.
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