Did you export the Evernote into plain text?

Do you have recommendations for exporter that preserves the notestack/notebooks?

- What is the best way to export Evernote into plain text?

- Is there a good way to export the notes so that it preserves stacks and notebook structures?

I am personally not hiring. But the hiring landscape is very different. I had a conversation about this with another manager who is hiring at work. Very anecdotal info below:

We may see much higher applications. Most are going to be backed with good brands. It's hard to let go of the bias that we maybe looking at the bottom quartile for these companies. Most will be extremely good at the interviewing. The candidates will also have very different motivations.

The bottom quartile at some of these companies could still easily be in the top decile at many other companies. Unfortunately every company thinks they need, and are deserving of "Top Talent".

> top decile

I think you’re overestimating the hiring ability of big companies, and underestimating the people at small companies.

I think people at big companies often overestimate their own ability and often underestimate people who work at smaller companies.

I think working at a bigger company is a somewhat different skillset involving a lot more navigating bureaucracy, meeting certification standards, documenting and presenting, etc.

Smaller companies focus a lot more on "get stuff done, figure out the details later"

I think a lot of big corp employees look down at startups because it’s a huge gamble. They get paid less and have unstable careers. And so they confuse it for ability. Personally, I think those that work at startups learn to be more adaptive and gain more valuable skills outside of bureaucracy.

I love it. Goes to show that you can have a lasting impact no matter what job title you have.

Do you have recommendations on good Mathematical Finance books? I have a background on maths and engineering. Thank you.

As a textbook, I suggest Investment Science by Leunberger. It's concise and has great coverage, and you can just keep referencing it over time.

As an initial focus, I suggest understanding discrete time models well. If you've got some LA and calculus then I'd suggest just hoping into Introduction to Mathematical Finance by Pliska. It's concise, zero filler, but really clear.