160 karma · joined December 28, 2018
Kind of, I definitely know a few. But generally those profiles are not incompetent, and can support the team in times of pressure. Also there's periods in my life where I'm definitely not so productive, so it's nice to know I can slow down as well without having to worry. The main issue is that it slows down the pace of the whole team — not just their work, but the energy in the group. This can be frustrating for team members who like to get stuff done and an energising, motivating atmosphere.
Side note: when you think about the salaries of profiles like that for the amount of code/functionalities/effort produced, it also makes you realise how much a side project is worth "cost-wise" — easily a few hundred thousands dollars. I do think these kinds of profiles deserve their salaries overall, the company definitely agrees to pay those high salaries for what is produced. The ones much more productive should be be paid accordingly though, which is rarely reflected.
>Do I have imposter syndrome and I am actually a 10x developer whose laziness makes them a 1x developer?
You're probably pretty good and with good potential if you were putting in the effort and practice. But you'll never know, and excellence is generally indissociable from passion and commitment. In my opinion you're not an imposter but not that far from it either. More engagement is expected basically, but at the same time companies have so much trouble recruiting that they are still happy with what you're producing.
If you're not very comfortable with k8s yet I really wouldn't recommend you to setup a cluster for a small project.
The idea: Improve the way people learn by building an open learning map, leveraging crowdsourcing and graph database technologies. Think Google Maps x Wikipedia for learning. It would allow users to navigate knowledge in a seamless and rewarding way, by tailoring the best online content based on what you know, how you learn best, what you want to learn.
State of the project: I’ve been setting up the tech and working on an MVP, which will soon be ready to launch. The next step is to grow the userbase, build a community around the platform and apply for funding. That’s where you come in. Desired profile: Looking for a driven and ambitious CEO with strong communication skills. Aside from the traditional responsibilities of a CEO, this project also requires a fair share of online community management and brand building.
About me: I have a background in applied mathematics, software engineering and graph theory, and I’ve worked in Berlin startups for the past 4 years.
Feel free to share with people you think would fit this profile :). Here’s my email: olivier.ramier@gmail.com
Multi stage stochastic optimization is often used in finance/trading (e.g. portfolio optimization), I highly recommend to check it out.
The idea's to build a collaborative graph-based learning map to learn seamlessly and optimally whatever's your learning goal. It's open source, non profit and I'm looking for contributors ! The tech stack is Neo4j/Node.js/TypeScript/GraphQl on the backend, React/Typescript/Chakra UI/Apollo client on the frontend. I would also need help on the design. My Twitter: @olivier_ramier, email: olivier@sci-map.org. Hit me up if you're interested !
We are building the backbone of global trade.
We are a digital, asset-free freight-forwarding company located in Berlin, run by experienced entrepreneurs and fueled with outstanding talents and leading industry experts. We are looking for self-starters and visionary thinkers that not only want to put a dent in the universe, but also like to be surrounded by people inspiring them.
Back-end: Event driven microservice architecture (Kubernetes), Node.js + Typescript, MongoDb
Frontend: React, Typescript For more role details, see our careers page: https://freighthub.com/en/job/
To get in touch, email me: olivier.ramier at freighthub.com.
- the context switching cost of multitasking
- the precision/speed tradeoff : pro players adjust the mouse speed according to what they want. Selecting exactly the units wanted is very difficult, AlphaStar seemed to do it perfectly.
- the timing precision of an action
With restrictions such as these, I'm honestly confident that AlphaStar won't beat human players anytime soon (once the human players adopt the interesting findings of the AI).
I'm mostly interested in how it will change the meta. Players are often biased by their experience, and regularly the meta shifts entirely without any significant balance update, simply by players finding original strategies