Why was @LudwigAhgren's Twitch stream yesterday a masterpiece in creating live content?

Most software founders, particularly in B2B, need to get radically better at sales. @Steli , who is the best person for explaining the scrappy stages in the beginning and then building out a team with scripts and processes, wrote a guide to:

For technical founders it is irrationally, obscenely hard to reverse years of programming (ba dum bum) that sales is a value-destroying activity. Sales is CLEARLY a value-creating activity, contingent on you have a value-creating product.

The world will not drop what they are doing to adopt your work. This is particularly true in B2B, where simply building a better mousetrap won't overcome the activation energy required to get people with additional non-mice problems to prioritize changing mousetraps today.

This is very non-obvious for founders because founders are not often people who *want* to be sold to. We often come from a background where trying out tools is a bit of a fun hobby. We like looking at all the options, making charts, and ripping out partially complete tests.

"This week I unsuccessfully trialed four software options for automating that thing that has been killing us. Our actual production process remains the same as last week. Don't worry; this was a great use of time." is not a thing you want to write in a progress report to manager.

🕵️‍♂️ 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

Two years ago on a weekend, I built a tool to make it easier to evaluate Twitter accounts. Since then 36590 people used it to analyze 55390 different Twitter accounts.

Over the last months @mmkaradeniz and I made a new version. We launched it last night:

@accountanalysis doesn't use machine learning or AI „magic“. Instead of telling users if an account is authentic or not, it helps them to evaluate the accounts themselves.

It visualizes the different features (date, time, type, app, etc.) of Tweets to make them interpretable. /1

@accountanalysis The core concept is still the same, but it looks much better and is easier to operate. Not only for the users, but us developers as well. Enabling us to continuously roll out new features in the future.

Side-by-side screenshots of the old and new version. /2

@accountanalysis Some people had questions what different charts displayed and how they could be interpreted. There are now explanations for all charts, that can be toggled on and off at any time. /3

@accountanalysis The selected/retrieved Tweet count moved to the top to make it clear that not all Tweets of an account are analyzed. 3200 is the API limit by Twitter. It's possible to get more through the Premium API, but I don't think people would pay $100+ for the analysis of one account. /4

I read two-and-a-half decades worth of Jeff Bezos’s Amazon shareholder letters.

It’s like a mini MBA.

Here I’ve pulled out a free guide for startups, investing, marketing, and “web3”🧵

(It’s a thread, not an ebook)

First, why the focus on web3?

It’s the mid 90’s. A 30-year-old Jeff Bezos is trying to raise money for Amazon. And investors are wondering,

“What’s this internet thing?”

Fast forward, the year is 2022, and folks today are wondering,

“What’s web3?”

Now, a little background…

In 1994, Bezos quit a well paying job to start Amazon.

It wasn’t an easy decision. But Bezos used his famous “regret minimization framework.”

In other words, he didn’t want to be 80 and regret not doing what he really wanted to do.

But what did he want?

Bezos didn’t set out to disrupt retail from the outset.

He simply wanted to come up with a business idea based on the internet and then let the internet grow around it while he kept working on it.

Today, that idea is worth $1.7 trillion and counting.

Moving on to the lessons…

Each year since 1997, Bezos has written an annual letter to Amazon shareholders.

These letters reveal a great deal of lessons and secrets behind his massive success.

So what are they?