Hacker News new | past | comments | ask | show | jobs | submit | leolas1995's comments login

Just curious about all this as it's a topic that interest me, but I'm not sure I follow: how does Linear raising $50+M changes the point of the article? I believe it reinforces what they are saying about being profitable while also having some VC money to take risks and grow in a balanced way than if they didn't have it.

This. Currently looking for job and it seems that every single company out there is just looking for someone who knows angular, react, node, etc. I always emphasize that I can learn the tools required by the job, but no, they just want someone with n years of experience in just a specific tool, instead of someone who can learn and adapt. Not a whine, just a concerned observation on the industry.


I found that some companies were willing to let you learn tech on the job. Talk to some recruiters. If you're confident, like me, make it clear to a recruiter or company that you have every confidence that you will learn the tech quickly and it won't be a problem.


and emacs too


Location: Santiago, Chile

Remote: Yes

Willing to relocate: Yes

Technologies: Javascript (backend: Node.js, express, mongoose, passport.js, etc.), Typescript, Go, Python3, PHP, Ruby (Rails, Sinatra), C, Java, Git, docker, kubernetes, MySQL, Mongodb, Postgresql, Linux, Android app development.

Resume/CV: Available on request

Email: leonardoguedezsuazo@gmail.com


The need to take calculus and other math related classes in an engineering or science field is not to know how to solve integrals or differential equations in your mind for a normal 9to5 job, but it's for something extremely important in computer science an engineering in general: abstraction; the ability to, when faced with a [new] problem, hide the details away for a moment and concentrate on the important parts, recognize patterns, know which tools to use, etc. Then you can go bringing back the details when you need them, to form a solution.

You'd certainly go crazy if you start to think in all the little details as soon as you face a problem, and probably never deliver a solution on the time needed.

It turns out that mathematics are very good at, gradually, giving you new levels of abstraction to solve new problems, or old problems in new ways, etc. The important is not to memorize formulas (that's what books and wikipedia are for), but to know which one to use, and when, their uses, etc.


Join us for AI Startup School this June 16-17 in San Francisco!

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: