I'm looking for a discussion here. TL;DR is, "Why do we as a tech community think that companies that are successful now are some kind of template for success, rather than considering they may be next year's failure?"
Hear me out: one of the first "unicorns" was Groupon. And there was a now-predictable cycle that it went through:
- being valued at billions of dollars
- receiving acquisition offers but rejecting them and preparing for IPO
- being worshiped and copycatted by the tech community
- having the highest IPO since Google
- descending into oblivion (just look at its stock price now)
"So what?" you're probably thinking. Groupon is for old people who don't know any better.
Maybe. But Groupon's story is being relived over and over again by Snap, Uber, Lyft, and more.
And a lot of "it" companies of the past also failed spectacularly after being huge for awhile. Atari, AOL, Yahoo, Compaq, Nokia, etc.
At the same time, I hear a lot of people talking up how these companies approach product and engineering, as though they're a template worthy to be followed. I'm not saying they aren't, but I do think we need to have some more careful consideration on that. I think it's worth pausing a moment and considering the past before plunging into all the latest software process crazes just because a company that's successful right now uses them.
Thoughts?
Top comments (5)
Sometimes out of sheer scale of the domain, they are worth paying attention to. But yes, this is probably way over-indexed on the "it" factor. Nobody's fawning over Groupon's technical leadership, and they probably were at some point.
Snap is recovering from their lowest point and probably rounding in to shape, but at their most hyped period they claimed to be morphing into "a camera company". This probably serves more as a cautionary above all else at this point.
This is just my opinion - without any specific data to back it up - so take it with a grain of salt.
The perceived failure of a number of high profile tech companies recently is definitely a huge issue, but I think it's symptomatic of a much bigger problem: the artificial "systems" we've created for society are toxic and incentivise the wrong kind of thinking/behaviour.
In other words, I don't think tech/software is the real issue here. The real question we should be asking is "what does it say about ourselves when half the population is living paycheck to paycheck, yet VCs have the freedom to gamble billions of dollars to extract even more riches for themselves?" Within this context, the blame for these failed companies lies with the VCs who greedily hyped them, alongside a fundamentally flawed economic system that incentivizes such behaviour in the first place.
For example, let's consider Uber. I'm going to call them a failure in the sense that their financial future is in serious question, when only a couple of years ago they were still the "next Amazon/Apple/Microsoft/etc.". However, when considering the company's technology in isolation, Uber is typically viewed as world-class. Uber's contributions to open-source machine learning are often cited (although I haven't used any personally). In this way, I would still make extensive use of Uber's technological innovations if I were in ML/AI, despite the company being an abject failure in every other aspect.
In summary, I think that a company's technological prowess (or lack thereof) is a consideration separate from whether the company as a whole is a success or failure. It's possible to admire a company's tech while still viewing the company in its entirety a failure.
A lot of times (I'd wager "significant majority"), companies fail less because of their innovative engineering methods/techniques/etc. were fatally flawed than that their management was. That what we should really learn from those failures is "how not to run a successful company (over the long term)".
The other thing that often isn't given adequate consideration is the impact of turnover (at all levels of an organization).
Read Seneca, replace "happy" by "successfull" and see what happens
en.wikisource.org/wiki/Of_a_Happy_...
Wow! What a perfect quote!