#banknifty 32200 coming soon

👇Thread.

Published a new essay: The red flags and magic numbers that investors look for in your startup’s metrics – 80 slide deck included!

This was a deck that I created on my (longish) interview process with @a16z. It was a long path, starting with meeting folks at the firm 10 years ago. But the purpose of the deck was to explain how I would use my superpower in an investing context

Here's what I explain in the deck. As investors (whether angel or VC) we're often confronted with an up-and-to-the-right graph. Is it going to go up? Or down?

One solution to forecast these growth curves is the Growth Accounting Framework, where you add up New+Reactivated and subtract churned users. In each time period that gives you the difference in monthly actives.

The problem with this is that it's a lagging metric, not a leading one. We need to go one level deeper and look at the underlying loops that drive these numbers, to understand the quality.

Rhino Barges

One of the dullest, coolest, more bizarre and fascinating pieces of kit used in Normandy.

Which NO ONE REALLY CARES ABOUT.

BUT I DO AND YOU SHOULD TOO.
/1

#WW2 #SWW #History

Planning for Overlord and Neptune had a serious snag, how to get troops from LSTs onto the beach as simply ramming them onto the beaches and dropping the ramp was known to damage the exceptionally vulnerable LSTs and felt to be unsustainable in the mid to long term. /2

LSTs were essential in sustaining Overlord's progress and were a subject of major headaches in the planning phase, and a real subject of friction when it came to launching additional amphibious operations such as Dragoon.

A single LSTs loss represented a capability nick. /3

So, logic dictated, we don't really want these remarkable but rare and highly valuable vessels constantly doing beach landings, we want something to act as a medium between ship to shore, and in came the (mostly) American designed Rhino. /4

I fucking love Rhinos.

Seriously.

Graceful lines of pure industrial pedigree.

Modular.

LOOK AT IT. /5

This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.

1) “Eliminationism” is a term you need not just to become familiar with, especially in today’s American rush toward authoritarianism. This will be a long, illustrated thread explaining what it means, how it works, and why Donald Trump is now our Eliminationist in Chief.

Warning: Some images contain violence and are disturbing.

Also warning: This thread is ridiculously long. 75 tweets is insane. I apologize. But this stuff is important. I hope you find it compelling anyway. If not, I understand.

2) So, what exactly do we mean by “eliminationism”? Here’s the academic definition:

3) It was largely coined by Holocaust scholar Daniel Jonah Goldhagen in his 1996 book Hitler’s Willing Executioners, about the role ordinary Germans played in the Holocaust, which he described as fueled by “eliminationist antisemitism.”

4) The book describes how in reality the largest numbers of Jews and other victims killed by Nazi directive were rounded up and gunned down or immolated en masse and buried in mass graves by ordinary Germans and non-Jewish residents of German-occupied territories.