danielvinson

Why wouldn't a papaya be safe? Everything I've seen says that the seeds are always edible.

I don't understand why would there be a time slot in the first place... do people not own their own laundry machines in Switzerland?

The problem isn't ageism, the problem is capitalism. For a long period of time in the (not too distant) past, one of the the main purposes of a company was to pay employees. Corporations in the U.S. have continually shifted goals to eschew all goals other than raw profit and growth (leading to more profit). It is EXTREMELY rare to see a tech company which offers its employees more than they are worth on the market or spends more money than is absolutely necessary to keep its employees on benefits.

The feature I'd be looking for in this is to be able to recursively scrape for contact information (email, phone number, etc.)... that doesn't seem possible with this?

Its not the same warranty with most brands - my current car has a 4-year warranty for almost everything (excludes tires and a few other things that are always excluded), whereas the similar pre-owned models have a 4-year that only covers the engine.

Sorry for repeating a shameless plug (I posted elsewhere on this thread), but if you're interested in these cameras, but with cloud storage and more reliability, my company uses extremely similar cameras to this (we run our own software on Hikvision cameras, with tons of improvements across the board). We don't really focus on home systems, but at worst we are VERY good at recommending something for it. Our site is www.viaas.com.

I'm an engineer, so I'm not the best at explaining how pricing works for larger companies, but most customers do not pay msrp.

Our 30-day plan is $20/month msrp whereas Nest is $30/month. (Your Nest pricing is not current - you're probably grandfathered on that rate)

Our main market is businesses with multiple locations who need role-based access and/or LDAP integration for cameras with cloud storage.

I'm really having a hard time understanding what their target market is here.

Most home users aren't going to pay full retail for cameras, hire a professional installer to put 1-4 cameras outside, then pay for cloud storage... or at least not without a huge amount of Support effort. Given their feature list, they aren't going to be able to compete with the business/enterprise market due to both having worse features AND being more expensive.

(shameless plug: I work for a company making enterprise IP cameras, and both our cloud storage AND cameras are cheaper, while having way more features)

I agree on confirmation bias, but the actual correlation appears to be that people from more wealthy backgrounds tend to do better in interviews.

Anyone who uses MacOS (ie. can afford a MacBook Pro) to work on has to have enough money to buy one despite being in a job interview.

Most people who use vim and emacs are going to be older, more experienced engineers, and as such, have the resources the acquire the tools they need to succeed (time to learn, books, computer, paid IDE).

I see statistics like this and just think about all of the kids who didn't get a free ride through college and a MacBook given to them who aren't succeeding.

"Puts customers first" and "Puts ethical considerations first" seem to be at odds in my mind... in my experience "Puts customers first" translates to "employees are overworked and underpayed" which is a huge ethical concern.

Is it common that employers pay 100% of healthcare costs? I've never heard of a company doing that outside of big tech companies. I work at a startup and for us its about 50/50 employer/employee contribution, which is similar to the deal I've gotten everywhere I've ever worked.

I find their methodology to be seriously flawed.

It doesn't matter what dataset you are using to base it off of, if you think that the average person pays $1,263 per year in total healthcare costs you're crazy. I'm paying something like 3 times that as a very healthy 20-something.

This heavily depends on the judge, which court, and where. All of my cases which have been heard by a court I've been awarded money for my time.

IANAL, but he should have revised his damages for the second case to account for his expenses, including time. He probably could have won closer to $6000 without a problem.

The author comes off as deeply uninformed about how legal proceedings in the U.S. work, for example talking about how he had to refute arguments in court and such, which is just not how things work at all at that level. Some basic Googleing would have taught him all he needed to know about defending himself in small claims court without stress.

That was my reaction also. If a junior engineer asked me to review that code, I would ask them to refactor in a way that is more maintainable.

Use the same model as Soylent... they have a very good system.

This is enough of a hassle that I will never make the purchase, despite being interested.

It is very hard to find the right place to straddle the line of interpreting and explaining the sources for your reader, but not sounding condescending. The author, in this case, likely chose a tone she thought would resonate with male engineering managers best, and it's really hard to fault her for that. The author is an engineer after all, not a professional writer, and the article is not less trustworthy because of that.

While I would normally be fast to offer advice to the author on how to improve the tone and resonate with the reader more, in this case, this article is not something which needs to be written in an engaging, interesting way - it is just a collection of data, presented in an accessible manner. It encourages the reader to change their opinion in a Bayesian manner and use the sources, not just blindly follow the author.

This just feels to me like one of those things that seems great on paper, then in practice requires a lot of things to line up to work as intended (like Communism?).

I also really dislike the fact that the language used would be very hard to a non-native English speaker, which makes me question how useful it is at solving the problems it is obviously addressing (cultural differences, social norms, etc.).

I haven't played in a long time (I'm only involved tangentially these days), so I wouldn't be interested, but thanks :)

That's something that has been discussed in depth in the pro community for a long time... the conclusion that most team owners have made is that you generally need a coach who can play at a top pro level or has previously played at a top pro level. Obviously the target market here isn't pro teams, but even so, the people who have large amounts of money on the line choose not to hire coaches who have never been very good at the game.

I also have a lot of first-hand experience with this since I taught paid lessons in CS 1.6 way back in the day. Generally the market for lessons is full of mid-tier players who are very dedicated, but don't have the support necessary to improve (ie. a team of players as good as them or a proper coaching system). These players are almost all looking to go pro some day, and want to be able to break through to that level. Since the difference in skill between a Top 1% player and a Pro in CS:GO is so massive, any random competitive player won't be able to give good advice since they are at the same place as the client, and can't understand WHY things are done the way they are among the Pros.

It's worth noting that the Orbit Female CS:GO team isn't even all among the top 1% of players - they went 10-6 in ESEA-Open last season, which is the lowest level of competition which is even sanctioned. Any team that is dedicated and practices, even if they aren't good, will make it through Open at X-4 without much difficulty (I've coached a few teams through this).

Love the concept, but I can't see this as useful as an App, since pretty much every use case I can think of I'd want to be at my computer for.

I also find it kind of amusing that you're advertising esports advice from a woman who plays on a CS:GO team which can't even compete with a mediocre ESEA-IM team... she might be an absolutely amazing teacher and amazing person to work with, but she isn't good at the game, which really undermines your marketing strategy.

> a drug that suppresses appetite

Caffeine.

> We don’t predict portion sizes yet. At the moment we give a sane default and ask the users to adjust it.

This is a serious problem. Research suggests that one of the main causes of obesity in children is lack of ability to identify portion sizes or understand how much to eat.

Obviously there is a market of people who understand this well and want to track what they eat, but you are very likely going to be misleading a very significant amount of your userbase into making worse decisions for themselves.

I'm not very familiar with the open source options since after many years of coding this by hand, I work with what I know. I am a developer that works with data, not a Data Scientist, so I don't really know the lingo and whatever hipstery terms people are using these days. I will answer to the best of my ability, though (mostly for my sake, who knows if this will be useful):

Cleaning:

Open Refine seems to be the best product in this category. I haven't used anything but my own tools to do this before, so I can't really offer any advice.

Warehousing:

My understanding is that this is just a fancy way to talk about a database with a schema designed for analytics. There are many open source databases which do this very well, the one I use being Cassandra (and/or KairosDB), though it is also likely the one that is hardest to use. For a beginner, you might want to refer to this SO answer: http://stackoverflow.com/questions/8816429/is-there-a-powerf...

Data processing/collection:

This is something that is incredibly dependent on the data sources, so I likely can't tell you anything that will help. Most of my data sources I've worked with have been internally sourced log files, messages from ZMQ, or CSV data - you might be working with something far different though, since there are lots of public data sets and such which are common. Ideally, this would be integrated into the tools that you are using to clean the data, but I don't know if that exists.

Handling input from many different sources at different rates is not a very hard problem to solve if your system is build correctly - you could for example run a daemon for each data source which will populate the database when there is new data available, then send a message off to the processing engine, which will integrate the data into whatever reports you are running.

Specifically for a use case of a hedge fund, the reports could be triggered by a message which is sent when the new data is available, and processing could be done in parallel in Lambda or similar dependent on need to get a nearly instant return, enabling nearly real-time reporting.

There are good open source options for each step here - is the solution you are looking for just a UI and easy install process? Or would your ideal solution make all of the decisions for you - data structure and format, which data is/isn't valid, what output options are possible, managing server resources, etc.?

Steam supports any game from any publisher, including self-published games. Steam is exactly what you get when you try to solve this problem, because none of the big companies want to be involved, since they see it as competition. Blizzard and EA are the only two big companies I know of that are not on Steam, and they both have direct competitors to it that are vendor-locked.

Shuttles are a weird area even in the U.S. - When I worked as a contractor at Google I was required to pay for shuttle use since Google couldn't write off benefits provided to non-employees.

You're absolutely welcome. I don't think I'd be more likely to watch a video, but having that option is likely to appeal to many people.

I might be interested in this, but your website doesn't give me anywhere even close to enough information to know what your product gives me. All I see is one low-res screenshot and some sales lines that are reference what I can do, not how it works. Most people in your target demo aren't going to commit to signing up for something unless they know how much time they have to invest and what they will get for that amount of time.