Founder of StrategyBreakdowns.com

TLDR: Worked in strategy consulting → Joined strategy team at Atlassian → Started writing strategy case studies → People liked them, so I left my job and went full-timeCheck it out → StrategyBreakdowns.comFor Partnerships Inquiries → passionfroot.me/strategybreakdowns

Tom Alder

This cheeky ad campaign is a masterclass in making people stop and laugh.

Airport billboards plastered with uncomfortably close faces and... features. 

Imagine touching down after 20hrs of international travel and seeing a 20ft nostril.

You'll probably chuckle, jump in an Uber, and remember that nose for weeks.

This is how you win the attention economy in 2026.

—

📌 P.S. I originally came across this campaign because it was going viral and came up on one of my ‘outlier trend’ dashboards. 

Lots of people asked me how I set this up, so I made a free tutorial teaching you exactly how I spot these trending topics / content / products in a few seconds (using free tools): https://lnkd.in/dnxsxJRm

In 2025 I went from $13k/mo to $24k/mo.

In 2026 I'm chasing $50k.

But honestly, my biggest wins were outside of work:

→ Packed up my cosy life in Australia
→ Donated/sold 90% of my physical possessions
→ One-way flight across the world

I've spent the last few months living in: Manhattan. Brooklyn. Barcelona. A tiny beach town called Torredembarra about an hour south of Barca. Valencia. Granada. Madrid. New York again. And now, East London.

2 years ago this was literally a dream I scribbled in a journal. 

Still feels totally surreal when I stop and think about it.

Thank you for reading this past year.

Let's win in 2026.

Anyone in London - hit me up!

—

👉 P.S. If you enjoyed this post, you'll love my newsletter - a 3-minute breakdown of the strategy playbooks and growth hacks behind the world’s greatest companies.

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The Xbox website in 2004.

Bring back the weird and wonderful web.

—

👉 P.S. If you enjoyed this post, you'll love my newsletter - a 3-minute breakdown of the strategy playbooks and growth hacks behind the world’s greatest companies.

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Summer 2009: Airbnb was stuck at $200 per week (!) in revenue… for 8 months straight.

Founders Brian Chesky and Joe Gebbia were running out of money and hope.

When they looked at their worst-performing listings, they all had something in common: "The photos sucked."

People were using flip phone cameras or blurry unedited photos. 

Properties were being undervalued because potential guests couldn't properly assess what they were getting.

The solution: doing something that seemed "unscalable".

The founders:

→ Flew from Mountain View to New York
→ Borrowed professional cameras  
→ Personally photographed 24 hosts' apartments

Result: Revenue doubled to $400 in one week.

This wasn't just about prettier pictures. It solved Airbnb's fundamental marketplace trust problem:

• Guests buying an experience they can't return
• From strangers they've never met
• With no way to verify quality beforehand

Professional photos provided instant credibility, visual proof, and increased perceived value.

The strategy didn’t stop there.

It sparked Airbnb's global Photography Program:
→ Network of 2,000+ freelance photographers
→ 35,000 listings shot across 5,000 cities
→ Listings with pro photos earn 2.5x more bookings

The lesson: Sometimes winning means stop coding and start knocking on doors.

—

💡 If you enjoyed this, it originally appeared in my free 3-minute newsletter, 'Strategy Breakdowns'.

Join 110,000+ strategy nerds from companies like Google, Meta, Atlassian, and Netflix: https://lnkd.in/g2FWfXGR

The value of $1,000 invested 10 years ago:

Amazon (AMZN) → $4,430
Netflix (NFLX) → $5,110
Apple (AAPL) → $8,170
Tesla (TSLA) → $33,630
AMD (AMD) → $123,010
Bitcoin (BTC) → $138,460
Nvidia (NVDA) → $157,870
XRP (Ripple) → $263,160
Dogecoin (DOGE) → $367,590
Ethereum (ETH) → $2,013,020

—

👉 P.S. If you enjoyed this post, you'll love my newsletter - a 3-minute breakdown of the strategy playbooks and growth hacks behind the world’s greatest companies.

Join 110,000+ strategy nerds from companies like Google, Meta, Atlassian, and Netflix: https://lnkd.in/g2FWfXGR

undefined undefined

Founder of Strategy Breakdowns

I'm hiring a writer!

But not just a "writer."

A Superwriter.

Here's how to know if that's you:
→ You're subscribed to like 20+ newsletters
→ You compulsively screenshot great emails, ads, charts etc
→ You can write about complex business concepts in a simple and engaging way
→ You use Claude/Perplexity/Deep Research/Zapier/Notion better than anyone you know

The job: Produce the best strategy case studies on the internet.

Start with 1-2 breakdowns per week.

As a Superwriter, a core part of your role *from Day 1* is building systems, templates, automations, and agents for research, curation, creation, editing, visuals etc.

Note: This role is *not* for you if you don’t know how to (or don’t want to) work with AI/automation to improve your output (more engaging writing, more thorough research, faster graphics, etc)

What you'll get:
- Front-row seat to a fast-growing internet media business
- Work directly with me - I'll teach you everything I know about writing, audience building, sponsorships, and anything else you're interested in
- Freedom to follow your curiosity and shape the role over time
- Access to pro versions of best-in-class tools (Claude, ChatGPT, Notion, Canva, Wispr Flow etc)
- Write + build things that reach hundreds of thousands (sometimes millions) of people in tech
- Fully remote, work from anywhere in the world

If this sounds like you: Job Description + Application in the comments 👇
If this sounds like someone you know: Tag them!

110,803 people read my weekly strategy essays, but I have 2 HUGE problems:

1. They aren't good enough
2. Not enough people read them

So...
✏️ I'm hiring a writer to produce the best strategy case studies on the internet!

→ I don't care about your CV.
→ I care about your screenshots folder.
+ the newsletters / YouTubers / books in your content diet.
+ how many hours you've spent using Deep Research / Claude Code / Nano Banana.

Important note: this isn't an ordinary 'Writer' role.
I'm looking for a 'Superwriter'.

You won't just write. You'll build systems.
AI research workflows. Notion Templates. Infographics. Charts. Surveys.

Exceptionally high quality bar + thinks in leverage.

This starts at 1-2 articles per week. Will grow into much more.
Fully remote. Work from anywhere.
Reach millions of tech founders + leaders each month.

If this sounds like you: Job Description + Application in the comments 👇
If this sounds like someone you know: Tag them!

Steve Jobs tried his best to acquire Dropbox, but couldn’t (and ended up launching a competitor instead).

In 2009, he made them an offer most startups dream about:

9-figure acquisition.
Plug into Apple’s ecosystem.
Direct access to Apple’s users.
Validation from a Silicon Valley icon.

But Dropbox’s founders declined. 

Jobs doubled down, saying it was "a feature, not a product."
He threatened that if they didn’t agree to an acquisition, Apple would “kill” Dropbox by launching their own storage product:
→ iCloud

But he was wrong.

iCloud was a huge success, but wasn’t enough to stop Dropbox’s historic run:

In just 7 months, Dropbox had accumulated 100,000 users.
Within 18 months, 500,000.
By October 2009, they'd crossed 2 million users.

A single mechanism was driving over one-third of all new signups:
→ Their iconic referral program 
(”Invite your friend to receive an extra 10gb of free storage”)

It was so effective that within 6 months, it was generating 2.8 million referral invitations monthly.
1 invitation sent every single second (!)

The trajectory from there went exponential:
→ 50 million users by 2011
→ 100 million users by 2012
→ 500 million users by 2016

In 2017, Dropbox hit a milestone faster than any other software company in the past: $1 billion in ARR.
The referral architecture powering Dropbox's growth combined behavioural psychology, network effects, and incentive design.
There’s something every builder can learn from what is arguably the most successful customer acquisition program in SaaS history, so I've deconstructed the 3x underlying principles into a free guide. 

🎁 Here’s the guide → https://lnkd.in/gc9-ih8J

Happy Monday. I got in a heated debate over the weekend. Help me settle this:

I've been daydreaming about redesigning the Strategy Breakdowns website for at least a year. 

Picture this:
→ An infinite canvas. Every article as a card in a grid. 
→ A new interactive way for readers to explore the archive. 

But it’s always sat in the embarrassingly long “maybe one day” pile.

Recently I came across a tool that let me prototype it in an evening.

It only took about 2 minutes of "aha" moments and "oh damn that's cool" design decisions for me to realise i had to turn my rainy-night-in into a breakdown.

The tool is called Alloy - it captures your existing product and lets you vibe on top of it

Most tools are fighting over hobbyists and side projects, so Alloy carved out its own niche: professional product teams prototyping on existing apps

Lots of clever product-led-growth mechanics and smart user psychology baked into this tool. 

✏️ Check out the full breakdown on your new favourite vibe-coding tool: https://lnkd.in/dudG8b6G  and here’s the interactive prototype I made: https://lnkd.in/dVy8zaX3

i can't stop thinking about how all software looks the same now

in the early 2000s, winamp let users completely redesign the interface

→ alien heads
→ video game themes
→ animated creations

it sparked one of the internet's first user-generated design communities

there's actually a museum preserving 100,000+ skins from that era (link below)

somewhere along the way, we lost something special:
→ the ability to add personality into the tools we use every day

my secret wish is that AI brings back the 'customisation layer'

software that feels yours

—

👉 P.S. If you enjoyed this post, you'll love my newsletter - a 3-minute breakdown of the strategy playbooks and growth hacks behind the world’s greatest companies.

Join 110,000+ strategy nerds from companies like Google, Meta, Atlassian, and Netflix: https://lnkd.in/g2FWfXGR

Software looks the same 

40 years of enterprise software in one chart:

Ownership → subscription → consumption → autonomous 

We're entering an unrecognisable era.
The winners of the next decade will be defined by AI GTM, outcome-based pricing, and the merging of software and services.

We hear a lot about the ‘one-person unicorn’.
A single operator building a billion-dollar company with new business models unlocked by AI.

Im curious - what do you think that business actually *looks* like?
Whats the product? How is it marketed? How does the company operate?

Something I’ve been wondering a lot about lately. Keen to hear your thoughts 💭

—

👉 P.S. If you enjoyed this post, you'll love my newsletter - a 3-minute breakdown of the strategy playbooks and growth hacks behind the world’s greatest companies.

Join 110,000+ strategy nerds from companies like Google, Meta, Atlassian, and Netflix: https://lnkd.in/g2FWfXGR

Dr. Joerg Storm

Your success, my mission | CIO | CTO | Mercedes-Benz, (ex) Siemens | The only newsletter you need for Tech/AI🔔drstorm.substack.com🔔 Follow for posts about business & Tech/AI

I am 𝗗𝗿. 𝗝ö𝗿𝗴 𝗦𝘁𝗼𝗿𝗺, 𝗮𝘂𝘁𝗵𝗼𝗿 and 𝗳𝗼𝘂𝗻𝗱𝗲𝗿 𝗼𝗳 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝘄𝗼𝗿𝗹𝗱’𝘀 𝗹𝗮𝗿𝗴𝗲𝘀𝘁 𝗔𝗜 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿𝘀, read by 𝟱70,𝟬𝟬𝟬+ 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝟭𝟵𝟳 𝗰𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀, with a combined 𝟭.4𝗠+ 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 𝗼𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

I run a 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗺𝗲𝗱𝗶𝗮 𝗮𝗻𝗱 𝗮𝗱𝘃𝗶𝘀𝗼𝗿𝘆 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 spanning LinkedIn, a leading AI newsletter, and a C level podcast, reaching 𝗖𝗘𝗢𝘀, 𝗖𝗜𝗢𝘀, 𝗖𝗧𝗢𝘀, 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀, 𝗮𝗻𝗱 𝘀𝗲𝗻𝗶𝗼𝗿 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗺𝗮𝗸𝗲𝗿𝘀 worldwide.

My focus is helping leaders move from 𝗔𝗜 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻, while building 𝗮𝘂𝘁𝗵𝗼𝗿𝗶𝘁𝘆, 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝗺𝗽𝗮𝗰𝘁.

What I do

𝟭. 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗚𝗲𝗻𝗔𝗜 𝗮𝗻𝗱 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘆
I advise enterprises and scale ups on 𝗔𝗜 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆, 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗲. The focus is execution, not theory.

𝟮. 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗮𝗻𝗱 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗚𝗿𝗼𝘄𝘁𝗵
As Founder and CEO of 𝗗𝗿. 𝗦𝘁𝗼𝗿𝗺 𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘆 𝗚𝗺𝗯𝗛, my team runs global 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆, 𝗰𝗼𝗻𝘁𝗲𝗻𝘁, 𝗮𝗱𝘀 𝗮𝗻𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 end to end. We deliver 𝗴𝗿𝗼𝘄𝘁𝗵 from startups to 𝗙𝗼𝗿𝘁𝘂𝗻𝗲 𝟱𝟬𝟬 companies.

𝟯. 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗕𝗿𝗮𝗻𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗧𝗵𝗼𝘂𝗴𝗵𝘁 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽
We position leaders as 𝗰𝗿𝗲𝗱𝗶𝗯𝗹𝗲 𝘃𝗼𝗶𝗰𝗲𝘀 and convert visibility into 𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗶𝗻𝗯𝗼𝘂𝗻𝗱 𝗱𝗲𝗺𝗮𝗻𝗱.

𝟰. 𝗣𝗼𝗱𝗰𝗮𝘀𝘁, 𝗞𝗲𝘆𝗻𝗼𝘁𝗲𝘀, 𝗮𝗻𝗱 𝗧𝗲𝗮𝗰𝗵𝗶𝗻𝗴
I host an 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗔𝗜 𝗽𝗼𝗱𝗰𝗮𝘀𝘁 with CEOs, CIOs, CTOs, and founders, and work globally as a 𝗸𝗲𝘆𝗻𝗼𝘁𝗲 𝘀𝗽𝗲𝗮𝗸𝗲𝗿, 𝗺𝗼𝗱𝗲𝗿𝗮𝘁𝗼𝗿, 𝗮𝗻𝗱 𝗱𝗼𝗰𝗲𝗻𝘁 for International Management.

Who we work with

Our clients include 𝗡𝗩𝗜𝗗𝗜𝗔, 𝗔𝗪𝗦, 𝗔𝗹𝗶𝗯𝗮𝗯𝗮, 𝗛𝘂𝗮𝘄𝗲𝗶, 𝗘𝗬, 𝗪ü𝗿𝘁𝗵, 𝗟𝘂𝗳𝘁𝗵𝗮𝗻𝘀𝗮, 𝗥𝗲𝗽𝗹𝗶𝘁, 𝗚𝗮𝗺𝗺𝗮, 𝗦𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝗮, and leading AI driven enterprises worldwide.

If you want to 𝗳𝘂𝘁𝘂𝗿𝗲 𝗽𝗿𝗼𝗼𝗳 𝘆𝗼𝘂𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝘀𝗰𝗮𝗹𝗲 𝗔𝗜 𝗯𝗲𝘆𝗼𝗻𝗱 𝗽𝗶𝗹𝗼𝘁𝘀, or 𝗯𝘂𝗶𝗹𝗱 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲, feel free to connect.

For collaborations and inquiries
digitalstormweekly@gmail.com

To book a conversation
https://topmate.io/dr_joerg_storm

Founder, Publisher

The "Digital STORM" weekly is one of the fastest-growing AI newsletter in the world, with thousand of readers working at companies like Apple, Meta, Google, Microsoft. 

Its all about AI, Future Trends, Digital Transformation for executives, decision makers, industry leaders and all others which want to grow

>> Harvard just removed the velvet rope.

Let that sink in.

The same AI education once reserved for a 200000 dollar degree
- is now online
- free
- complete
- and unfiltered.

This is not marketing content.
Not a teaser.
Not highlights.

It is the real curriculum.
Full lectures.
Full frameworks.

The exact mental models shaping the next generation of leaders.
Here is the uncomfortable truth most people miss.

𝗧𝗵𝗲 𝗯𝗮𝗿𝗿𝗶𝗲𝗿 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗮𝗰𝗰𝗲𝘀𝘀.
𝗧𝗵𝗲 𝗯𝗮𝗿𝗿𝗶𝗲𝗿 𝗶𝘀 𝗱𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲.

Harvard did not lower the bar.
They removed the gatekeeper.

Six open tracks now cover what the market quietly expects leaders to understand
1️⃣ Generative AI strategy
2️⃣ Machine learning logic
3️⃣ Data science foundations
4️⃣ Computational thinking for executives
5️⃣ Edge AI
6️⃣ High dimensional analysis

This is not about becoming an engineer.
It is about not becoming irrelevant.

Knowledge is no longer scarce.
Execution is.

Harvard opened the door.
𝗪𝗵𝗼 𝗶𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗮𝗹𝗸𝗶𝗻𝗴 𝘁𝗵𝗿𝗼𝘂𝗴𝗵

Find the links below:

1️⃣ Generative AI for Leaders
Strategy and policy from the Harvard Kennedy School
🔗 https://lnkd.in/drpQDwMk
2️⃣ CS50 AI with Python
How intelligent systems actually think
🔗 https://lnkd.in/dRWVXa6m
3️⃣ Data Science Machine Learning
Build a real recommendation engine
🔗 https://lnkd.in/d9STFdNm
4️⃣ CS50 for Business
Computational thinking for executives
🔗 https://lnkd.in/dpKPt-sV
5️⃣ Fundamentals of TinyML
AI on tiny edge devices
🔗 https://lnkd.in/dgfyBhkC
6️⃣ High Dimensional Data Analysis
When Excel breaks
🔗 https://lnkd.in/dXSt3JKj

𝗡𝗼𝘁𝗲
Courses 3, 5, and 6 are free via Audit This Course


----
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Founder of one of the world’s largest AI newsletters (557K+ readers) | 1.36M LinkedIn Followers | Social Media & LinkedIn Growth Agency | Enterprise GenAI & Strategy Advisor | Docent & Keynote Speaker

>> NVIDIA just changed self driving forever.

And most people missed why.

With 𝗔𝗹𝗽𝗮𝗺𝗮𝘆𝗼, NVIDIA introduced the first autonomous vehicle system that does something new.

It reasons.

Until now, self driving systems saw the world and reacted.
Detect object.
Trigger rule.
Execute maneuver.

Alpamayo adds a missing layer.
𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 → 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 → 𝗮𝗰𝘁𝗶𝗼𝗻.

In the demo, the car does not just slow down.
It explains why.

Why a pedestrian looks uncertain.
Why a construction zone changes priorities.
Why yielding now reduces future risk.

That explanation layer unlocks everything.

- 𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴.
- 𝗧𝗿𝘂𝘀𝘁.
- 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗮𝗽𝗽𝗿𝗼𝘃𝗮𝗹.

Autonomy does not fail at 80 percent.
It fails at 99 percent.

The last one percent is where accidents live.
Reasoning is how you attack it.

This is not just about cars.
It is the beginning of 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜.

Are we ready for machines that can explain their decisions?

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Irina Shekhovtsova Hayley Grossman

Founder of one of the world’s largest AI newsletters (570K+ readers) | 1.4M LinkedIn Followers | Social Media & LinkedIn Growth Agency | Enterprise GenAI & Strategy Advisor | Docent & Keynote Speaker

>> Apple is not behind in AI.

Apple is quietly building AI infrastructure.

Look at the photo.
Dozens of Mac minis, racked and wired like a mini data center.

Not for web apps.
For running models locally.

For years the narrative was simple.

- No frontier model.
- No flashy chatbot.
- No arms race.

But Apple optimized for something else.

𝗟𝗼𝗰𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲.
Unified memory.

- High memory bandwidth per euro.
- Hardware and OS designed as one system.

That combo unlocks a truth most AI discourse ignores.
Inference often loves 𝗺𝗲𝗺𝗼𝗿𝘆 more than raw FLOPS.

The real world is 𝗯𝗮𝘁𝗰𝗵 𝘀𝗶𝘇𝗲 𝟭.
Most workloads do not need a GPU furnace.

So developers are doing the obvious.
They scale horizontally with Macs.

They keep data private.
They run models offline.

They pay indie prices for enterprise capability.
The irony is perfect.

The company accused of doing nothing in AI
might become the company that makes AI boringly deployable.

Are we watching Apple “catch up” or watching Apple win the constraints game again?

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The Battle

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