Fork me on GitHub
#off-topic
<
2018-03-25
>
qqq02:03:44

https://news.ycombinator.com/item?id=16449188 <-- is Dropbox still losing money when it IPO-ed ?

jgh02:03:14

looks like the eps is -$0.21

tbaldridge02:03:58

@qqq that's almost every startup no? Twitter never made money until two months ago

qqq02:03:22

Weren't msft and goog profitable at IPO?

jgh02:03:17

goog definitely was

tbaldridge03:03:27

I said startups 😄

tbaldridge03:03:02

the past 10 years have been utter insanity in this area. Facebook paying 2 bil for instagram. People paying anything at all for Uber and twitter. It's all going to come crashing down pretty soon.

☝️ 12
fellshard03:03:12

I'd rather focus on enhancing or developing a non-tech company's technical capabilities than to dive into a pure-tech company at this point

john03:03:23

There's a lot of low hanging automation fruit out there

qqq06:03:18

@tbaldridge: it's one thing with companies are raising money from VCs while not profitable -- which I understand; it's another things when companies are IPOing without profits -- which baffles me

schmee09:03:06

does anyone know a good book/resource/survey paper of compiler optimization techniques?

schmee09:03:32

the question I'm trying to understand is "what compiler optimizations are enabled by immutable data?"

tbaldridge21:03:00

@schmee almost all of PyPy is built off of that idea

tbaldridge21:03:36

They call it "quasi-immutable" data. Data that almost never changes, but when it does you recompile with a new set of assumptions.

schmee22:03:05

thanks for those links, will def check out! :thumbsup:

schmee22:03:37

from a glance that looks similar to what Truffle/Graal is doing with speculative optimization and method splitting