• HN/PW/M/FW:
• LinkedIn is huge for marketing. If you ever create a startup, make a page on LinkedIn and begin marketing there. https://databox.com/linkedin-marketing-strategies.
• General guide to sales-pitching: https://www.gong.io/blog/sales-presentation/. Lotta obvious info in there, but this always stands out when I’m reminded of it: show them their pain, then prove how you or your product fixes it.
• Stephen Wolfram has a blog. It’s pretty interesting. https://blog.stephenwolfram.com/2019/02/seeking-the-productive-life-some-details-of-my-personal-infrastructure/. He works from home, remotely, as CEO!
• Monto Carlo sim with numpy and pandas: https://pbpython.com/monte-carlo.html. If your model is truly just a normal distribution, you don’t need to run monte carlo. But usually, your final model is a collection of a ton of smaller models joined together with other logic. So you run a ton of simulations (for loop) with all of your inputs pulled from their various distributions (normal, whatever) and combined however to get your final distribution. Each iteration will just choose random numbers and yield an output, but the final spread is usually quite enlightening.
• I could add this blog to my website and host it personally!