🙋🏾‍♀️ In 2011, I was hired into my first junior role in tech @Groupon

👩🏾‍💻 By 2020, I was headhunted into a VP role in a global tech company @Brandwatch

🤖 I achieved this progression in less than a decade, without ANY coding skills

🔮 How did I do it?

*a thread*

🕵️‍♂️ How Google's PageRank algorithm works

The PageRank algorithm gives each page a rating of its
importance, which is a recursively defined measure of importance, based on if important pages link to it.
It's recursive because the importance of a page refers back to the importance of other pages that link to it

Here's how it works in practice:
1⃣ We start with some pages and crawl them for links

2⃣ Each page has 1/N points (where N as the total number of pages)

3⃣ Add points to each page for the amount of links to it, divided by the number
of links emanating from the sources of these links

Observing the public conversation around FB, and the private ones happening among techies and ex-FBers, I think the mutual misunderstanding is worse than when I set out two years (and 500 pages) ago to (in a small way) bridge that gulf.

We're basically fucked.

The tech world has gotten so huge, self-reinforcing, and insulated from reality they can no longer even vaguely look at themselves (and their actions) as others do. They just live on a different planet than most people.

Conversely, the average tech consumer doesn't understand the technology that has slowly taken over their lives, and their designated emissaries to figure it out--politicians, pundits, regulators, journalists--understand it barely better than they do, and have their own agendas.

To say more than generalities for a moment, here's what I think is likely the core problem.

Techies take weird, improbable visions, and make them realities: some BS pitch deck to a VC, mixed with money and people, really does turn into some novel thing.

Most people work inside a legacy industry that's evolved that way over time (usually for good reasons), and they think about the future via some analogy with their present (which is a function of a long-ago past). The interruption that tech will introduce is often hard to grasp.

A thread about Eastshade's bike mechanic!

When I originally thought of putting a bicycling in Eastshade, I was pretty sure it wasn't going to work, for the simple fact that if it was easy, we'd see a lot more rideable bikes in games. Well, I was wrong. It took a mere week.

Its essentially a first person controller with extra momentum, resulting in the the movement direction lagging behind your look direction. Then I used the angle between the look and the movement to dictate camera "bank" and handle bar rotation, and voila! Game changing feature!

The look of the bike was harder than the movement. Bicycles are fairly modern, so it was tricky to fit it to the setting. I took some artistic liberties and settled on a penny farthing (but wooden), ignoring how impossible that would be to ride on the rugged terrain in Eastshade.

Surprisingly, the hardest part was sound. It didn't feel like riding a bike until I found the right sounds and how to trigger them. For a while I was stuck thinking too realistically. A penny farthing is fixed gear, pedaling sounds nothing like a regular modern bike.

Finally I abandoned realism and went with sounds normal people would associate with biking. We're all so used to modern bikes that we strongly associate the distinct ticking of a freewheel mechanism (think of the sound when you stop pedaling and coast on a modern bike).

For decades, Jeff Bezos shunned ads.

But now, Amazon’s ad business is huge: it’s on a $30B+ annual run rate (more than 2x the combined sales of Twitter, Snap and Pinterest).

Here’s how it happened 🧵

1/ Amazon doesn’t break out its ad business separately in financial filings. However, most analyst believe ads make up the majority of its “Other” revenue segment.

This figure has exploded from $1B in 2015 to a current annual run rate of ~$32B.

2/ In 2009, Bezos said “ads are the price you pay for a crappy product”.

But the business is so lucrative that Amazon’s interface has been swamped with ads:

◻️ First 3-7 search results (left in red)
◻️ Most of the product page (right in blue)

3/ Prior to the rise of ads, Amazon set out to build the ultimate organic customer recommendations engine.

The approach was codified in a famed 2003 research paper: “Amazon Recommendations: Item-to-Item Collaborative Filtering.”

4/ In recent years, Amazon organic recommendations:

◻️"Customers who bought this also bought this"
◻️"Customers who viewed also viewed"

Have been replaced w/ ads:

◻️ "Sponsored products related to"
◻️ "Brands related to this category"