battwell

I didn't write this post. But I work with the guys

We've been doing data science and ml for years. After iterating on our tooling for a few years, we've finally settled on some tools that we're happy with. A lot of the wins came from spending more time data with DS teams to understand what they really wanted tbh

And ray has been great!

Doesn't seem a crazy way to start a company. RDS will have scaling problems but is very mature and fairly easy to use early on when you're working on your MVP

I've used CRDB early on at a startup. There was some overhead. You don't get all the nice PSQL features

Although it did save us a giant migration later on

Quick update here: You can now use Nanoscope without flashing a device by launching the Nanoscope Emulator.

This feature was largely implemented as a result of on hackernews and reddit.

True. Fortunately, the custom fork is very easy to install if you have a supported device (right now just 6P.

Just run `nanoscope flash`.

We've been building up CI tooling on top of Nanoscope. The short term goal for this is: make sure that none of our internal libraries (analytics, experimentation, etc) contribute a significant percentage of the time it takes to respond to any tap in the app. We have a lot of internal mobile libraries, so preventing perf regressions in them is a big rock.

If our CI efforts prove stable, then what you're suggesting should also be possible, if I understand it correctly.

> Science is a process and is close to an infallible thing as we have created as humans. There is no problem with science.

Wouldn't you say mathmatics is the most infallible thing human's have come to creating? The level of rigor in mathematics is much higher and there aren't as many repeatability issues.

I wrote this post.

What is most interesting to me: we prioritized mobile app architecture and saw big wins as a result. Usually its hard to commit time upfront to app architecture. We've made that the norm (ex, 80% of our app code lives inside plugins). And we've seen eng productivity measurably increase over the last year because of these investments. In many cases doubled.