I chose this approach in case the OP wanted deeper tangible pointers which is only possible with an understanding of their specific situation and kind of projects, location, etc.
I shoould have made this more clearer in my first comment
32 karma · joined April 10, 2019
I chose this approach in case the OP wanted deeper tangible pointers which is only possible with an understanding of their specific situation and kind of projects, location, etc.
I shoould have made this more clearer in my first comment
I meant situations in early stage startups where some people are literally figuring out what problems to solve or where to put their effort or mind.
One day it’s marketing, taking customer support calls the next. This is probably more tricky though I’m sure there should be a way to algofy this too
As long as the algorithm is open source and the design can be agreed upon by both parties.
You may still need a human to make some decisions that feed into the algo. If not you’re probably not doing anything new in which case an algo is anyway better.
This won’t work in positions where you’re expected to work with ambiguity and bring order out of chaos though I’d be interested to think about how that can be quantified.
It really comes down to being transparent and clear. Humans can do it too, machines can do it better.
Want to start testing it out and polishing it and iterating on other ways to solve challenges one challenge at a time
Looking for people to collaborate with on this project
Wouldn’t that be better than just valuation ?
Don’t prepare for the first three interviews, just treat them as practice.
Prepare a little bit for the next three.
Internships are great if you want to experiment and see what you like. Do a couple internships in different kinds of roles or industries based on what you’re interested in.
Start interviewing without expecting to get a job or preparing. This will allow you to be less stressed during the interview and you will be able to learn better.
Treat interviewing like learning a new programming language. Start with a hello world.
Happy to colab!
1. Those that donate part of their profits to charities working towards the UN SDGs
2. Those that make money while moving the world towards the SDGs
3. Those who collect donations to move the world towards the SDGs
We collaborate through entities called companies or organizations and it’s important that every time we collaborate there is a positive externality.
Now the specifics of the goals can be debated and edited with time.
Then see if you can solve the problem or part of it with your skills and knowledge.
This is the approach I’ve followed.
I’m currently working on an app that helps visually impaired people be more independent. Reach out if tou want to join this project.
I heard of some people who created a mask with a transparent strip to allow for this.
Also remember South Korea using masks that are transparent during election time.
Not sure about the traction any of these have got though.
Would a graphql API be part of your roadmap?