myhrvold
Generally speaking, there's a lot more that can go wrong than go right in terms of getting stuff to people especially from overseas. (True anywhere in the world.) And the specter of uncertainty basically elevates the default cost of doing business for everything.
Interesting that adjusted for inflation however, writing pays roughly what it does in the mid 1990s per the article.
That's a little surprising.
It's also probably a more competitive industry however, and the median pay (which is what's measured) doesn't account for the best writers probably doing better than ever. And then maybe more part time people trying to break into the field but not getting much.
If there's a pretty large middle ground buoyed by union pay scales and contracts, then both ends (high/low) will not really be accounted for in the statistics.
So I would put Shopify in a different league altogether than RIM or Nortel... these latest moves in fact may help them avoid the fate of the others.
It's a sizable number of affected roles, so hopefully this is a one-and-done for now. (A drip, drip, drip over a year and a half is the worst IMO with respect to morale and uncertainty for the remaining folks. And then you end up losing some of the people you want to keep because they view their employment environment as unstable...)
Would imagine Shopify is taking a loss in offloading, but will prevent future hemorrhaging of cash from a business decision that clearly did not pay off like anticipated.
Unlike some people, I don't think this experiment was necessarily a bad one for Shopify. I would have to know inside info as to whether it made sense at the time to do, but barring that I would give the benefit of the doubt to Shopify to try, if the reward was high enough if they pulled it off...
On the rider side, many people of color, especially Black, were not able to get taxi rides because they drove right by them. Look this up if you don't believe me -- there are innumerable examples of documentations of this, and this basically was altogether eliminated with Uber rides.
Uber was a game changer and a great equalizer for a great many people in society who didn't own their own cars (i.e. visitors, but also people who lived in major cities.)
In fact many taxi drivers became Uber drivers and have made a much better living this way.
Of course, there are also many more Uber drivers than at the start... and so it is kind of a race to the bottom with respect to an equilibrium achieved where it's now just an OK job instead of the $30+/hr like in the early days for uberX drivers...
So you ended up having insanity, like the necessity for even a black car service to "return to their base" after a ride, for time periods up to 1.5 hrs. Basically trying to nix the notion of efficiency in ridesharing.
We all know that nowadays most of those rules were battled back.
But the taxi industry and regulators had some very crooked ways which were really to the detriment of broader society trying to get places without having their own car.
The whole way things unfolded subsequently (due to several other pile-ons in following weeks, and eventually TK's ouster in mid 2017) still seems surreal to this day.
(I worked at Uber for ~5 yrs and remember this time period well.)
There were a ton of technical challenges in scaling.
Uber was also one of the earliest corporate deployers of Node back in 2010 and ended up having one of the largest in the world arguably (have no idea to what extent they've replaced in the last few years).
Uber's open source projects have led to spinout companies that have raised a lot of money successfully like Chronosphere and Tecton.ai .
Halloween and then New Year's were huge traffic challenges and the Uber app (both driver and rider) really pushed the bounds of what was possible in the 2010s with respect to a two-side real-time marketplace for ridesharing and food delivery.
(I worked at Uber 2014-2019 in engineering.)
uChat was based on Mattermost as I recall which was open source, and saved Uber several million dollars plus over its lifetime course.
I was not directly involved in its development but I (started and) ran the engineering blog, and also Uber's open source program for a time where this partnership occurred.
It is funny how some of these examples are floating around about build vs buy, but uChat actually was a good deal while it lasted.
Ultimately Uber decided they didn't need everyone talking to each other all at once and so bit the bullet and paid more for Slack.
However, on the other side... you have long standing employees of the company! So they are by definition insiders. And you'd have to think that some subset of employees actually would have info about the company that buyers in the tender offer process wouldn't have, particularly execs or in finance or maybe some key component of technology that the company's ultimate success hinges on. (Else, you wouldn't see public company restrictions on employees trading shares.)
I believe the general thinking around tender offers is they're often done on some level of discount on what an "open market" offer could be, at that point in time. In part, that's because private companies like to control their cap table. And so you're right that this dramatically reduces the competition in the bidding process as basically it's large funds/firms. Of which there are way fewer than, say, retail investors and smaller funds who would be willing to buy fractions of a few dozen employees' stakes.
Nevertheless, many people taking tender offers are not necessarily doing so out of desperation for liquidity per se. It's an opportunistic way to get some value out of your having worked to build a company, besides salary.
There's a bit of game theory at stake, as to what you tender. You want to cash out a certain amount to diversify... but if too many people say yes, then your stake is whittled down to due to oversubscribed interest on the selling side.
You get one shot to put in for your % number, and it will either be that, or proportionately lower depending on every other eligible employee's interest in selling.
I recall the max was throttled at 50% vested shares, or something like that anyway for Uber. And you had to have a minimum number of shares vested to participate (low tens of thousands overall as I recall?)
Anyhow, I put in for the maximum both times which worked out because that % got whittled down since the tender offer was filled on both occasions (as I recall).
(P.S. Not that it matters for the story, but $40/share in July 2018 and just under $33/share in January 2018 ended up working out great compared to what happened subsequently.)
There are lots of other considerations that come along with an IPO and Stripe is addressing the core problem (early employee liquidity) with a targeted solution.
(And yes -- they would've been better off doing two years ago. But timing is hard, and that's not really relevant to their decision now, which is the best at the current time given the past.)
It wasn't so good for employees who would've wanted to sell and diversify when the valuation was, conservatively, about 2x what it is now. And maybe even 2.5x plus if you extrapolate what Stripe could've been worth at the height of the market.
For the long term company, it still could be a good, because if they can raise capital privately like they were just able to do, then they get the upside of access to money without the downside of share price fluctuations, scrutiny, more bureaucracy etcetera.
The one-size-fits-most nature of online education goes against the "customize your education at scale to learn" which was an earlier anticipated advantage about MOOCs. Specifically, adaptive learning and being able to accommodate a variety of learning behaviors and styles. "Learn at your own pace, in your own way, on your own time but still within bounds to the rest of the class" kind of thing.
I remember when Stanford launched online CS courses in the mid 2010s, that it was thought they'd have the best of both worlds and their in-person, offline course offerings wouldn't be affected. (Diluted down to the lowest common denominator of student, which now included online learners who weren't Stanford students per se.) Well, over time, turns out double duty-ing course material for online and the "regular" classes crept into all education for instructors. Which meant the courses with online equivalents became easier across the board. Thus, the target audience for everything shifted.
Again, with acknowledged intentionality, I don't really have an issue with this (which you could crassly summarize as "dumbing down" the course offerings for convenience's sake) -- except that from my vantage point it was an unforeseen consequence of part of the online and MOOC push.
Obviously, I benefited from online courses in my mid 20s and so I look at their rise with nostalgia and through a rosier lens than many. However, I also can't help but think that they ended up being not quite what was promised at the outset, which was better targeting in addition to expanded educational access around the world. Especially for students who thought they'd signed up for the more challenging materials and didn't want to be part of a grand new experiment.
Interesting that MIT OpenCourseWare will outlast edX, which for a few years truly did look like it was the future of university level education and beyond.