🎉🎉 PHP 7.3 is here!

Here are the things I'm excited about.

Great thread full of potential https://t.co/jA8h08M48z ideas! 💡

📸 Social disposable camera app

Create a digital "roll" with friends. Take pictures from the roll. You can't see them until: the roll is used up, a time limit expires, or you get to a specific location.

🎙 Asynch interview platform

Send a guest a video or audio clip asking a question. Guest replies when able with same medium. Repeat. When done, share produced video/podcast.

✅ 24 Hour Startup Checklist/Overlay

A web app to track the progress of your project: ideation, naming, shipping code, launching.

Page can also be a dynamic browser overlay for live streaming.

Have tools for polls, surveys, sharing, launching to various outlets, etc.

👩‍⚖️ Healthcare "Lawyers"

If health insurance screws you over, no one has your back but you. Instead, can pay a small monthly fee to a service to take care of BS like this for you should issues arise.

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.

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?