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.comWe partner with companies like Atlassian, Notion, Intercom, Hubspot, Miro, Vanta, Clay, Mixpanel, and Ahrefs to reach 110k+ tech decision-makers. Click here to explore sponsorships → passionfroot.me/strategybreakdowns

Tom Alder

Apple makes $1 billion+ per year selling adaptors:

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👉 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 average enterprise employee spends 31 hours per month in unproductive meetings.

That's almost a full work week. 
Every single month. 
Gone.

And yet - meetings aren't the problem. BAD meetings are the problem.

The best hybrid teams i've seen don't have fewer meetings. 
→ They have better workflows that make every interaction count.

I genuinely think something's shifted in how teams think about productivity.

It used to be about individual output - more hours, more tasks, more hustle.

Now it's about connection quality and output. How seamlessly can 50 people across 12 timezones actually collaborate without losing their minds?

The companies figuring this out are pulling ahead. The ones still optimising for "busy" are falling behind.

--

Zoom is running a free summit on exactly this: how to make collaboration seamless across teams, locations, and timezones.

Feb 24 (EMEA) / Feb 25 (APAC)

If you're leading digital transformation, IT, or workplace strategy at a large org - worth grabbing a spot.

Register here: → https://zm.me/49SCY8r

#ad in partnership with the legends Zoom

Jamming with Rob Hoffman, Lara Acosta, and Tyler Denk 🐝 about our plans for 2026:

A few topics we discussed -

1. The reality of building while traveling the world.
2. Why vlogging is coming back for founders.
3. The timeless psychology of waitlists.
4. The bootstrapped AI SaaS paradigm.
5. Solopreneurship vs small vs big teams.

Honestly so refreshing to get new perspectives on things I’m actively wrestling with.
Also funny to see how the same decisions / problems / strategies resurface in peculiar ways, in such different contexts.

Would highly recommend following what these folks are up to if you haven’t already!

Rob and Lara are building Kleo.
Tyler is building beehiiv.

Incredible businesses powering many of the world's top creators and founders.

Feeling inspired. Let's build.

Every company spent the last 20 years building customer support processes that make people want to hang up.

Press 1 for billing. 
Press 2 for support. 
Press 3 to scream into the void.

Then came the "AI upgrade" - which mostly just replaced the robotic menu with a robotic voice.

Same frustration, different wrapper.

Here's what's actually changing now:
ElevenLabs just shipped Expressive Mode in their Agents platform.

The demo is WILD (video below). 

The agents don't just listen to what you say. 
They detect HOW you say it.

Tone.
Pitch. 
Pacing. 
Humour.
Feelings.

And they respond with the right delivery - using cue cards like [reassuring], [apologetic], and [enthusiastic] to match the moment.

Frustrated caller? The agent shifts to calm de-escalation.
Excited prospect? It matches the energy.
Confused customer? It slows down.

Previously, agent emotion was shaped entirely through voice selection and system prompts. Static. One-size-fits-all.
Now it's dynamic and contextual. Across 70+ languages (up from 32).
The turn-taking is different too. Their new transcription model captures intent and emotional cues so the agent times responses more like a human would.
The result: customers feel helped, not processed.
That's the gap most people miss about voice AI. The technology was never the bottleneck.

The emotional intelligence was.

Link to try below 👇

#ad #ElevenAgentsPartner

Every AI tool you've used in the last 2 years has the same interface:

A text box with a blinking cursor.

Quarterzip threw it away entirely.

Instead of building another chat wrapper, they built an AI that watches your screen share and guides you visually - like having a colleague sit next to you and point at things.

No SDK installation. 
No browser extension. 
No IT approval ticket.

Just a picture-in-picture window that sees everything you see. Any tool, any tab, any workflow.

Picture this:
- You’re onboarding to a new tool
- You brace yourself for a barrage of forgettable tooltips and painful ‘educational’ flows
- Instead, you click ‘Start Onboarding’ and you’re prompted to share your screen
- You share, and you’re placed directly in the app, with a helpful AI assistant in the corner that sees everything you see
- It’s trained on the help docs, all past onboarding calls, and can guide you through the journey whilst answering any question you might have along the way

They launched a week ago. Already running hundreds of AI-powered onboarding sessions a day with Apollo and Grab.

And the growth loop is elegant - every person who gets onboarded through Quarterzip sees the brand sitting inside the PIP window.

Product usage drives distribution.

I broke down the full strategy in this week's newsletter (link in the comments)

On July 7th, 2025, I added another SaaS idea to the pile:
A Chrome extension. SimilarWeb for builders. Traffic, revenue signals, founder socials, ads - all in a sidebar you can trigger when you visit any company's website.

A 9-bullet sketch of something I'd personally use a dozen times a day, if it existed.

Nothing came of it. Got buried under many more (half-baked) ideas.

Fast-forward 6 months.
The Figma team reached out about a partnership.
They wanted me to try their new prompt-to-app AI tool, Figma Make.

I mulled over the angle for a while, then realised I had the perfect test case.
Could I take a 6-month-old idea that had never left the notes app and turn it into a fully interactive, clickable product prototype? Without writing a single line of code? Without opening a design tool?

The pipeline I came up with:
→ 𝗡𝗼𝘁𝗶𝗼𝗻 (raw idea, 9 bullet points) 
→ 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 + 𝗪𝗶𝘀𝗽𝗿 𝗙𝗹𝗼𝘄 (interview to flesh it into a full PRD) 
→ 𝗙𝗶𝗴𝗺𝗮 𝗠𝗮𝗸𝗲 (PRD in, interactive prototype out)

One sitting later, I had my answer.
Here’s how it went down (link in the comments 👇)

Most newsletter sponsors get a terrible ROI.

All because they're advertising to the wrong readers.

Here's the thing about audience quality that most marketers miss:

1/ You need readers who make decisions.

This is the #1 mistake I see. Advertising to e.g. 1 million people containing 1k decision-makers, rather than 100k people containing 50k decision-makers.

71% of Strategy Breakdowns readers have meaningful influence over budget and procurement decisions at their company.

You need to get in front of the actual people who sign off on the tools, platforms, and services their teams use.

2/ Open rate is a proxy for trust.

Industry average open-rate is under 40%. Strategy Breakdowns sits at 55%, while earning the trust of 110,000 readers every week. Our sponsors inherit that trust.

3/ Niche is more efficient than broad.

A 110,000-person list of senior strategy and tech leaders doesn’t just contain *more* decision-makers than 500,000-person general business list - it is also costs less to advertise in. The signal-to-noise ratio is what makes our campaigns so efficient for sponsors looking to allocate their marketing budgets strategically.

4/ The seniority and industry breakdown matters.

- 30% Founder / C-level
- 20% VP / Director
- 40% Senior / Manager

Tech, consulting, and finance make up ~80% of our audience. I mean, these are literally the buyers.

5/ One ad isn't a campaign.

The sponsors who see the best results run 4 touchpoints minimum. Decision-makers don't act on first exposure, especially at this seniority level. (Honestly, when was the last time you saw a $100/mo tool for the first time and immediately pulled out a corporate card?) Plus, you need to test, learn, and iterate based on the data from each ad run.

6/ We treat it like a partnership (but actually).

Ad copy collaboration, custom AI tools we’ve built for partners, full 7-day and 14-day performance reports with 100% of the data we have available, ongoing input to optimise the campaign. Nearly every sponsor I work with (Atlassian, Vanta, Clay, Attio, Ahrefs, etc) comes back multiple times. 

Probably the thing I’m most proud of.

We have just 2 slots left before prices go up for Q2.

If your product is built for founders, PMs, engineers, or operators in tech - link to our full media kit in the comments 👇

How many DMs do you send per week on LinkedIn?

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

>> Would your AI team survive a chili test?

Most would fail.

In 2014 the Danish National Chamber Orchestra did something insane.

Before a performance every musician ate one of the hottest chili peppers in the world.

- Then they played.
- Eyes watering.
- Hands shaking.
-Breathing unstable.

But the music never stopped.

Why?

Because orchestras do not rely on comfort.
They rely on structure.

Watching that video made me think about the AI race happening right now.
- Everyone talks about models.
- Everyone debates tools.
- Very few talk about organizational resilience.

AI is doing to companies what that chili did to musicians.
- Pressure.
- Confusion.
- Uncertainty.

And suddenly teams that looked great in calm environments start falling apart.
- Projects stall.
- Coordination breaks.
- Leaders panic.

The real lesson from that orchestra is simple.

𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝘂𝗻𝗱𝗲𝗿 𝗽𝗿𝗲𝘀𝘀𝘂𝗿𝗲 𝗶𝘀 𝗻𝗼𝘁 𝘁𝗮𝗹𝗲𝗻𝘁.
𝗜𝘁 𝗶𝘀 𝗽𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻.

The best AI organizations today have five things in place.
- 𝗖𝗹𝗲𝗮𝗿 𝗿𝗼𝗹𝗲𝘀
- 𝗦𝗵𝗮𝗿𝗲𝗱 𝗿𝗵𝘆𝘁𝗵𝗺
- 𝗠𝘂𝘀𝗰𝗹𝗲 𝗺𝗲𝗺𝗼𝗿𝘆
- 𝗧𝗿𝘂𝘀𝘁
- 𝗘𝗺𝗼𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝗻𝘁𝗿𝗼𝗹

When chaos hits they do not improvise.
They execute.

The AI wave will not reward the smartest teams.
It will reward the most coordinated ones.

So here is the real question.
If your organization had to eat the chili tomorrow

Would the music continue?
Or would everything collapse?

🎥: @clasicalmusicreel 

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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

>> Robots doing Kung Fu on live TV is not a gimmick.

It is a manufacturing readiness signal.

In this CCTV+ (Video News Agency) Gala clip you can see the jump from 2025 to 2026.

2025 was novelty.
2026 is 𝗯𝗮𝗹𝗮𝗻𝗰𝗲, 𝗳𝗮𝘂𝗹𝘁 𝗿𝗲𝗰𝗼𝘃𝗲𝗿𝘆, 𝗽𝗿𝗲𝗰𝗶𝘀𝗲 𝗮𝗰𝘁𝘂𝗮𝘁𝗶𝗼𝗻, and 𝗵𝘂𝗺𝗮𝗻 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 with kids.

Drunken boxing and nunchaku are not “cute”.
They are stress tests for control under chaos.

The next frontier is not dancing.
It is 𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 in messy environments.

By 2028, the winners will not be the best demos.
They will be the teams that nail:
• safe work next to humans
• rapid recovery from slips and collisions
• cheap serviceability and uptime

China is already pushing this at scale.

Reuters reports four major startups featured on the 2026 Gala, including Unitree, as part of a broader push into AI driven manufacturing. 

The IFR reports 4.28 million industrial robots operating in factories worldwide. 
McKinsey & Company’s framing is blunt: work becomes a partnership of people, agents, and robots. 

So the real jobs question is not “Will robots replace us”.
 It is “Which workflows get redesigned first, and who captures the value”.

𝗔𝗴𝗿𝗲𝗲 𝗼𝗿 𝗱𝗶𝘀𝗮𝗴𝗿𝗲𝗲: 𝗯𝘆 𝟮𝟬𝟮𝟴 𝗵𝘂𝗺𝗮𝗻𝗼𝗶𝗱𝘀 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗮 𝗻𝗼𝗿𝗺𝗮𝗹 𝗰𝗼𝘀𝘁 𝗹𝗶𝗻𝗲 𝗶𝗻 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀.

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>> 𝗜 𝘁𝗵𝗼𝘂𝗴𝗵𝘁 𝗜 𝘄𝗮𝘀 𝗔𝗜 𝘀𝗮𝘃𝘃𝘆.

𝗜 𝘄𝗮𝘀𝗻’𝘁 𝗲𝘃𝗲𝗻 𝗰𝗹𝗼𝘀𝗲.

Then I saw a single team using over 100 tools, and realized I was basically running a tricycle in a Formula 1 race.

AI isn’t just chatbots or content generators anymore.
It’s entire ecosystem for ideas, websites, writing, meetings, automation, design, audio, video, SEO, marketing, and even Twitter growth.

The people winning quietly aren’t smarter, they just know which tools to plug in at the right moment.

Those who ignore this wave risk being left behind faster than they imagine.

Here’s the list of 135 mind-blowing AI tools:
1. Ideas: Claude, ChatGPT, Bing Chat, Perplexity, Copilot
2. Website: Dora, 10Web, Framer, Unicorn, Style AI
3. Writing: Jasper, HIX AI, Longshot, Textblaze, Jenny AI
4. Meeting: Tldv, Krisp, Otter, Fathom, Sembly AI
5. Chatbot: Droxy, Chatbase, Chatsimple, CustomGPT, Mutual info
6. Automation: Make, Zapier, Xembly, Bardeen, Levity
7. UI/UX: Figma, UiMagic, Uizard, InstantAI, Penpot
8. Image: Dreamina AI, Leap AI, Midjourney, Stability AI, Fotor
9. Video: Dreamina AI, HeyGen, InVideo, Eightify, Morphstudio xyz
12. Audio: Lovo ai, Eleven labs, Songburst AI, Adobe Podcast, Resemble AI
13. Presentation: Decktopus, Slides AI, Pitch, Designs AI, Beautiful AI
14. SEO: VidIQ, Seona AI, BlogSEO, Keywrds ai, Semrush
15. Design: Canva, Flair AI, Designify, Clipdrop, Magician design
16. Logo Generator: Looka, Designs AI, Brandmark, Stocking AI, Namecheap
17. Prompts:FlowGPT, Alicent AI, PromptBox, Promptbase, Snack Prompt
18. Productivity: Merlin, Tinywow, Notion AI, Adobe Sensei, Personal AI
19. Marketing: Pencil, Ai-Ads, AdCopy, Simplified, AdCreative
20. Twitter: Typefully, Tweetlify, Tapilo, Hypefury, TweetHunter

Here’s a gentle reminder for anyone looking to level up:
● Awareness beats effort alone
● Hidden tools create visible results
● Early adoption compounds faster than skill
● Productivity now lives in ecosystems, not apps

Which of these 135 AI tools would you try first to level up your workflow?

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