That is one way of looking at it, but it is not a ranked nor chronological list. The amount of people that belong in the newsletter is vast and the newsletter will eventually cover most of them, in due time. Steve Wilhite’s issue came our shortly after his passing, it felt like a timely release.
Small notes/link manager that will be a standalone page and, hopefully, a browser extension. Sometimes I find myself hoping I could have a list of the links/documents I’m working on at the moment on my New Tab page, so I’m making one. It’s mostly a reason to learn Elm.
Interesting, I feel like I have the opposite issue. Coming from Portuguese, learning Spanish was a breeze and I can usually surprise French speaking people with “hard” words in my basic French sentences — just because I reached out to a Portuguese word and “frenchyfied” it.
I agree that food doesn’t have enough vitamin D, but supplements really made the difference for me. Just get the right dosage (which is probably higher that you think).
That definitely works for me. I’ve tried to work on side projects after my daily job but I often got home drained and with zero will to code anything. Since then I started moving this time into my mornings, before work. It definitely feels short and like you’re on a time constrain more than the evenings, but I’ve made progress on my projects like this, bit by bit.
Hey, nice to meet you! This is a pretty cool project and it does strike a cord with us. This is one of the several things we’re trying to do with our platform. I don’t think I could sway you to move to London, right? :D
The team:
We are part of a small team of five Rails engineers, passionate about doing great work together. We have an open and democratic work culture where everyone can contribute, learn and teach. Some highlights are:
- A fortnightly Investment day / training day, modelled on those at thoughtbot and Happy Bear Software.
- We are all full-stack: We each have our strengths and weaknesses, but as a team of full-stack engineers we find we can work faster and more flexibly, and solving the most important problems first, and solving them more effectively.
The company:
At BridgeU we’re working to update the university application process with modern technology. We use data science and machine learning to recommend best-fit universities and courses for students from over 100,000 options, based on their academic, professional and social preferences. We build collaborative tools to make it easier than ever to apply and study abroad or at home, both for students and for their school teachers and staff.
More information: check out bit.ly/lrug-bridgeu-software-engineer
BridgeU brings the power of big data to your university preparation process. Our system processes over a million data points every day to ensure up-to-the-minute accuracy and relevance, and our matching algorithm weighs academic, professional and social preferences to recommend best-fit universities and courses for students from over 100,000 options.