4,457 karma · joined June 20, 2012
It makes acquisitions easier, it makes hiring easier, it makes marketing and sales easier and it makes billing easier.
Unless you want to bootstrap until you retire because it's a lifestyle business, then just do it where you are and chill - you are the 0.001%.
And that’s all they’ll commit?
It’s not even annual.
And it looks like it’s a “we’re targeting new projects” which means they’re trying to get Microsoft tooling support early.
If you can answer 90% of requests by RTFM, you really should RTFM.
Intel might have a leapfrog opportunity here..
I'd look at breaking it out into 3 separate areas.
1. Foundations (1-2 years). This is a course offered which introduces students to the basics of areas they're interested in. Students can learn about many different areas to study or work in, as well as understand what the requirements of Academia are (essay writing, research, studies, etc).
Once Foundations are done, you split out into either..
A. Apprenticeships, Technical Institutions, Polytechnics: Created by industry leaders, board members are those who have worked in the industry, trainers are those who have worked in the industry recently and are limited to tenures of no more than 2 years - but they get paid more than they would in their roles.
Course length depends on field. For example if you were to become a Software Engineer, probably 18 months is enough. Medicine on the other hand will be more aligned to current expectations.
B. Academia, University: Created by those who want to write and study the field, but not work in it primarily. These will occasionally work with folks in the industry to try new research. These are usually primarily publicly funded.
Right now, the institutions who run and advertise B are the majority - but pretend to operate and work for A. Which is bullshit, but they are incentivized to continue operating that way by the government, by their board and by their own corporate institutions.
All of the major SaaS providers have good blog posts and documents on this process. You don't need to automate and build in rostering and shit, just have a Slack channel like #on-call that says "@dave is watching outages, shift finishes at 9AM and hands over to @jess" then at 9AM @jess ack's, and posts the same message with the person who plans to take over next. It's the person who's currently on-call's responsibility to find a replacement if the other person doesn't show up*.
The main issue you'll have is rostering. If you're super early stage, everyone will be happy to do this. Once you have 10-20 employees though, you'll need to distribute this in a fair way so you don't burn anyone out - and make an exceptions process that everyone agrees to (eg @tu worked until 3AM last night on feature for customer X, @sam will take over for them).
* only do this with people who are seniors and are comfortable with having candid conversations, and won't martyr themselves.
https://www.stylusstudio.com/images/screenshots/xslt_functio...
It's 1-1.
Anyone who's used this knows there's much better options for this tooling native to actual programming languages, or datatype specific tooling (eg XPath visualizers). Let's face it, 99% of the work isn't the actual mapping of data, it's building out the definitions and understanding which definition from source to target needs to be mapped.
This tooling doesn't address that problem.
I'd pick VS Code, Visual Studio or JetBrains "code previews" (where it auto-compiles and gives you expected outputs of variables as you write it) over some bespoke data mapping language any day. You can't hire developers to understand and build these mappings, you're better off hiring developers who understand literally ANY programming language.
And don't get me started on performance. Tuning this is impossible outside of throwing more CPU at the problem.
Also.. If it's open, where is it?
Between them, Canva and MAGMA - it seems like the best paid jobs in APAC is your own consultancy.
They compete on price with companies that don’t give a shit about employees. Which is most.
Glad I saw this.
For example if you're buying tshirts, ring-spun cotton is ideal. Thicker and heavier the weight (gsm), the better. Quality stitching, see if it's double-stitched along the bottom, or if it's made by hand - backstitched.
Silk and linen will last longer, but you also need to be more careful with them. You can't throw them in the dryer. Cotton is good for casual wear if it's heavy gsm, ring-spun and has good stitching but silk and linen will outlast you and your children. Seriously, you can buy suits from the early 1900's that just need new stitching.
Blended cotton is made to be stronger, but will age weirdly if you're using a dryer. The tension of the different blends of polyester and cotton will fuck up your garment over time. It's also not suitable for exercise or if you sweat a lot. If you're just wearing it around the house - blended is a great choice - but you'll need to be careful as most blended garments are made that way because they're cheaper to produce and "feel good". So you'll have more shitty manufacturing practices to look out for.
There are great $5 t-shirts mass manufactured in Bangladesh out there, and there are shitty $70 t-shirts made by hand in the US.
White and Black is a good choice, as both can be dyed or bleached (start with oxygen-based bleach like OxiClean before trying chlorinated bleach on fabric) to look like new.
This is just t-shirts. Dresses and skirts, jeans, dress pants, shoes, everything else has their own specific instructions. Most of the time the manufacturer knows better than any guide you read online about the product, read the tags. And I didn't even get started on wool tshirts designed for hikers.
Oil stains aren't the end of the world. Starting with white tshirts and ending up with black (or dark-colored) dyed shirts is a great way to prolong the life of an oil-stained garment you can't get the oil out of.
https://www.amazon.com.au/Fashion-Sustainability-Kate-Fletch...
The entire clothing industry is fucked. All you can do is buy clothes that will last as long as possible and you'll wear until you use them as rags, or buy pre-owned clothes and do the same.
Buy from places whom manufacture clothing locally. Buy from places that manufacture clothing using deadstock (AKA the offcuts of fast fashion and fabric that is destined for landfill). Buy from places that make clothing they encourage you to "pass on" (either to your children, through their own "refurbishment" program or through secondary markets).
The garments you buy, even using organic cotton, use more resources to produce than plastic garbage you buy at Walmart or Target. The most impact you can have is using the clothes for as long as possible, and support business whom have sustainable-as-possible practices (without greenwashing).