I built and sold a business to HubSpot in just 17 months.

I co-founded Mindstream, an AI newsletter that scaled to 150,000+ subscribers. Today, Mindstream is part of the HubSpot Media Network, where I lead brand strategy for the AI media products. 

Along the way, I’ve grown a 200,000+ following on LinkedIn, sharing real, unfiltered lessons on AI, entrepreneurship, and business growth. The wins and the mistakes.

I believe action beats hesitation. The biggest risk? Never starting.

Adam Biddlecombe

Helping Entrepreneurs Build with AI | Founder, Mindstream (Acquired by HubSpot)

Co-Founder & CEO 

AI is eating the world.
And you can’t even define “LLM”?
Yikes.

Don't stay clueless.
Don't stay behind.
Don't stay outdated.

These 40 AI terms explained easily will make you 10x smarter today.

1. Bias
When an AI unfairly prefers some answers over others, often because of the data it was trained on.

2. Label
A tag or answer given to data so AI knows what it is.

3. Model
The final program that can do tasks after learning from data.

4. Training
The process where AI learns from examples to get better at its job.

5. Chatbot
A computer program that talks to people in text or voice.

6. Dataset
A big collection of information that AI learns from.

7. Algorithm
Step-by-step instructions for solving a problem.

8. Token
Words or pieces of words AI uses to read and write text.

9. Overfitting
When AI learns the training data too well and can’t handle new, different examples.

10. AI Ethics
Making sure AI is used in ways that are right and fair to everyone.

If you want to know more AI terms, 
Check the infographic below 👇 

Have you started learning AI?
Comment below 👇 

Learn AI for free: https://lnkd.in/euYZeAdb 

♻️ Share this to help your network learn AI terms

AI is eating the world.
And you can’t even define “LLM”?
Yikes.

Don't stay clueless.
Don't stay behind.
Don't stay outdated.

These 40 AI terms explained easily will make you 10x smarter today.

Bias
When an AI unfairly prefers some answers over others, often because of the data it was trained on.

2. Label
A tag or answer given to data so AI knows what it is.

3. Model
The final program that can do tasks after learning from data.

4. Training
The process where AI learns from examples to get better at its job.

5. Chatbot
A computer program that talks to people in text or voice.

6. Dataset
A big collection of information that AI learns from.

7. Algorithm
Step-by-step instructions for solving a problem.

8. Token
Words or pieces of words AI uses to read and write text.

9. Overfitting
When AI learns the training data too well and can’t handle new, different examples.

10. AI Ethics
Making sure AI is used in ways that are right and fair to everyone.

If you're not using AI

You're not managing your growth wisely. 

(And no. I'm not talking about basic motivation) 

Personal development becomes efficient when humans and AI work together. 

✅ Write a prompt 
✅ Get a solution from ChatGPT 
✅ Follow up and keep brainstorming till you get the best solution 

 Self-improvement use cases on which you can collaborate with ChatGPT: 
✅ SMART Goal Setting
✅ Visualization Exercise
✅ Habit Formation Blueprint
✅ Growth Mindset Cultivation
✅ Personal Mission Statement
✅ Evening Wind-Down Routine
✅ Morning Routine Optimization
✅ Journaling for Self-Awareness
✅Weekly Time Management Plan
✅ Accountability Partner Simulation

And more covered in the infographic below. 

For what use cases do you use ChatGPT? 
Comment below 👇 

Learn AI for free 👉 https://lnkd.in/euYZeAdb 

♻️ Share this post to help your network use ChatGPT for personal growth

If you're not using AI

You're not managing your growth wisely. 

(And no. I'm not talking about basic motivation) 

Personal development becomes efficient when humans and AI work together. 

✅ Write a prompt 
✅ Get a solution from ChatGPT 
✅ Follow up and keep brainstorming till you get the best solution 

 Self-improvement use cases on which you can collaborate with ChatGPT: 
✅ SMART Goal Setting
✅ Visualization Exercise
✅ Habit Formation Blueprint
✅ Growth Mindset Cultivation
✅ Personal Mission Statement
✅ Evening Wind-Down Routine
✅ Morning Routine Optimization
✅ Journaling for Self-Awareness
✅Weekly Time Management Plan
✅ Accountability Partner Simulation

You waste time doing manual work. 

Even when you have AI now. 

Here's how to go from zero to pro in AI:

Core AI skills:
✅ Computer Vision
✅ Model Deployment
✅ Deep Learning (DL)
✅ Explainable AI (XAI)
✅ Generative AI (GenAI)
✅ Machine Learning (ML)
✅ Reinforcement Learning
✅ Model Monitoring & Versioning
✅ Natural Language Processing (NLP)

Top websites to learn AI:
✅ Fast AI
✅ Mindstream
✅ Kaggle
✅ Coursera
✅ Deeplearning
✅ Mygreatlearning

And a lot more covered in the infographic below

Have you started learning AI?
Comment below 👇

Learn AI for free 👉 https://lnkd.in/euYZeAdb 

♻️ Repost to help your network learn AI

You waste time doing manual work. 

Even when you have AI now. 

Here's how to go from zero to pro in AI:

Core AI skills:
✅ Computer Vision
✅ Model Deployment
✅ Deep Learning (DL)
✅ Explainable AI (XAI)
✅ Generative AI (GenAI)
✅ Machine Learning (ML)
✅ Reinforcement Learning
✅ Model Monitoring & Versioning
✅ Natural Language Processing (NLP)

Top websites to learn AI:
✅ Fast AI
✅ Mindstream
✅ Kaggle
✅ Coursera
✅ Deeplearning
✅ Mygreatlearning

You’re wasting hours doing tasks an AI Agent could finish in seconds.

The twist? You don’t even have to build them.

I’ve curated the 40 best plug-and-play Zapier Agent templates that do it all for you.

How do Zapier Agent templates help?
- Each template provides you a ready-to-use framework for a task.
- You get in-depth explanation about how the template works.
- You get to know why you should use a particular template.
- You get the perfect tool stack built in that template so you don’t need to juggle with random tools.

How to use Zapier Agent templates?
1. Go to the link below 
2. Click on any template 
3. Click ‘Use Template’
4. Check out the Agent
5. Connect your web apps
6. Click ‘Create’
7. Configure and use your Agent

Here are the Agent templates you should try:

Productivity:
- Automated Email Reply Drafts Agent
- Daily Outlook Event Reminder
- Google Calendar Zoom Meeting Link Adder
- Hackathon Event Notifier
- Follow-Up Reaction Notifier

Product Management:
- Product Expiry Management System
- PRD Document Creator
- Customer Call Summary and PRD Generator
- Weekly Project Status Update Email Generator
- Slack Thread Insights Extractor 

Project Management:
- Project Brief Generator 
- Slack to Asana Campaign Organizer 
- Google Doc to Asana Status Update 
- Project Update Notifier 
- Incomplete Jira Tickets Commenter 

To know more powerful Agent templates,
Check the infographic below 👇 

Try Zapier Agent templates here :https://lnkd.in/eBkNHjRz

What do you think about using Agent templates to automate manual work?

Comment below 👇 

♻️ Share this to help your network use the best Agent templates 

#ZapierPartner

Stuck staring at a blank page?
Ideas refusing to show up?
Brain fried from overthinking?

ChatGPT can spark it.
Prompts can fuel it.
Your creativity can explode.

Here are 10 ChatGPT prompts built to smash creative blocks in seconds.

Market Entry Strategy Brainstorm
- Act as a strategic business consultant and use chain-of-thought reasoning to brainstorm a step-by-step market entry strategy for [business type] targeting [specific market or region], including potential risks, competitive analysis, entry barriers, and actionable timelines; structure the output as a bulleted list with pros, cons, and recommended next steps, limited to 500 words.

Product Innovation Ideas
- Think step-by-step like an innovative product developer and generate 10 creative ideas for new products or features in [business type], focusing on [specific problem or customer need], incorporating market trends and feasibility analysis; format the response as a numbered list with brief descriptions, potential revenue impacts, and implementation challenges.

Competitive Analysis Framework
- Employ chain-of-thought to analyze [number] key competitors in [business type], evaluating their strengths, weaknesses, opportunities, and threats relative to my [specific business aspect]; output in a structured SWOT matrix table format, followed by 5 strategic recommendations for differentiation.

Growth Hacking Tactics
- As a growth expert, reason through innovative growth hacking tactics for [business type] aiming to achieve [specific growth metric, e.g., 20% user increase], drawing from data-driven examples; present as a prioritized list of 8 tactics with step-by-step execution plans and expected outcomes.

Business Model Canvas
- Use structured reasoning to create a customized Business Model Canvas for [business type] with [unique twist or focus area], detailing key partners, activities, value propositions, and revenue streams; format as a clear, bulleted section-by-section breakdown with visual descriptions for easy adaptation.

To get more ChatGPT prompts,
Check the infographic below 👇

For what other use cases do you use ChatGPT?
Comment below 👇

Learn AI for free: https://lnkd.in/euYZeAdb 

♻️ Repost this to help your network use AI to brainstorm better

Stuck staring at a blank page?
Ideas refusing to show up?
Brain fried from overthinking?

ChatGPT can spark it.
Prompts can fuel it.
Your creativity can explode.

Here are 10 ChatGPT prompts built to smash creative blocks in seconds.

Market Entry Strategy Brainstorm
- Act as a strategic business consultant and use chain-of-thought reasoning to brainstorm a step-by-step market entry strategy for [business type] targeting [specific market or region], including potential risks, competitive analysis, entry barriers, and actionable timelines; structure the output as a bulleted list with pros, cons, and recommended next steps, limited to 500 words.

Product Innovation Ideas
- Think step-by-step like an innovative product developer and generate 10 creative ideas for new products or features in [business type], focusing on [specific problem or customer need], incorporating market trends and feasibility analysis; format the response as a numbered list with brief descriptions, potential revenue

AI isn’t replacing jobs.
It’s upgrading people who use it.
But only if you know how to use it.

Most people are learning the wrong stuff.
The job market is shifting under your feet.
Smart learners will dominate.

These 15 AI skills will future-proof your career in 2025.

1. Prompt Engineering
2. Staying Updated
3. Retrieval-Augmented Generation (RAG)
4. AI Agents
5. Multimodal AI Application
6. Fine-Tuning and AI Assistants
7. Voice AI & Avatars
8. AI Tool Stacking
9. AI Video Content Generation
10. SaaS Development
11. LLM Management
12. AI Content Marketing
13. AI Chatbots
14. Website Creation
15. AI Workflow Automation

To know more about these skills,
Check the infographic below 👇 

Have you started learning how to use AI?
Comment below 👇 

Learn AI for free: https://lnkd.in/euYZeAdb 

♻️ Share this to help your network learn AI

AI isn’t replacing jobs.
It’s upgrading people who use it.
But only if you know how to use it.

Most people are learning the wrong stuff.
The job market is shifting under your feet.
Smart learners will dominate.

These 15 AI skills will future-proof your career in 2025.

Prompt Engineering
Staying Updated
Retrieval-Augmented Generation (RAG)
AI Agents
Multimodal AI Application
Fine-Tuning and AI Assistants
Voice AI & Avatars
AI Tool Stacking
AI Video Content Generation
SaaS Development
LLM Management
AI Content Marketing
AI Chatbots
Website Creation
AI Workflow Automation


Stop using ChatGPT the default way.

Most people don’t realise they’re blocking 80% of its power.

Here’s how the Personalization feature in ChatGPT helps you get 10x better outputs from AI.

What is the Personalization feature in ChatGPT?
1. Allows users to set how ChatGPT should respond and what it should know about them via custom instructions.
2. Enables the model to adapt tone, style, and focus based on those user-defined preferences.
3. Utilises memory of past interactions (if enabled) so responses become more context-aware over time.
4. Gives different users distinct experiences even with similar prompts, reflecting their unique guidance.

Follow these steps:
1. Go to chatgpt.com
2. Click on your profile picture on bottom left.
3. Click ‘Personalization’.
4. Select ‘Base style and tone’ from the available options. This helps you set the basic style and tone of how ChatGPT responds to you.
5. In ‘Custom Instructions’ add what you want ChatGPT to have and not have in its outputs.
6. Add your nickname ChatGPT can use in chats.
7. Add your occupation so ChatGPT understands you better.
8. Add more information about your interests, values, tone of voice, writing style, and preferences.
9. Enable or disable memory to let ChatGPT know more about you
10. Enable or disable record mode to enable or disable ChatGPT using previous chats as references to create new outputs

Dos:
- Do specify your role and goals clearly so the model knows your context.
- Do define how you prefer the tone, style, and format of responses.
- Do keep your instructions concise and manageable rather than overly long.
- Do update or refine your custom instructions as your needs or projects evolve.
- Do use custom instructions to reduce repetition and improve consistency across chats.

Don'ts:
- Don’t overload the instruction fields with every little preference; it can reduce effectiveness.
- Don’t assume the model will read between vague instructions; be explicit when necessary.
- Don’t include extremely sensitive or proprietary personal data if you’re unsure about usage/privacy.
- Don’t forget to review how the model is behaving; custom instructions aren’t a “set-it-and-forget-it” guarantee.
- Don’t expect custom instructions alone to solve all prompt-engineering issues; they complement good prompting, not replace it.

To know more about it,
Check the infographic below 👇

What do you think about the Personalization Feature In ChatGPT?
Comment below 👇

Learn AI for free: https://lnkd.in/euYZeAdb 

♻️ Repost to help your network use ChatGPT better

Stop using ChatGPT the default way.

Most people don’t realise they’re blocking 80% of its power.

Here’s how the Personalization feature in ChatGPT helps you get 10x better outputs from AI.

What is the Personalization feature in ChatGPT?
Allows users to set how ChatGPT should respond and what it should know about them via custom instructions.
Enables the model to adapt tone, style, and focus based on those user-defined preferences.
Utilises memory of past interactions (if enabled) so responses become more context-aware over time.
Gives different users distinct experiences even with similar prompts, reflecting their unique guidance.

Follow these steps:
Go to chatgpt.com
Click on your profile picture on bottom left.
Click ‘Personalization’.
Select ‘Base style and tone’ from the available options. This helps you set the basic style and tone of how ChatGPT responds to you.
In ‘Custom Instructions’ add what you want ChatGPT to have and not have in its outputs.

You’re analysing data wrong. 

Because you’re doing it manually. 

Here’s how ChatGPT helps you get hours of data analysis work done in minutes.

1. Go to chatgpt.com 
2. Add your dataset
3. Write your prompt.
4. Get the analysis done by ChatGPT.
5. Add a follow-up prompt if required

Prompt I've used: 
- Act as a professional data analyst. I've attached a dataset here of Uber rides. I want you to perform data cleaning of this data and spot inconsistencies, missing values, or duplicates in datasets & fix them. I also want you to highlight patterns, correlations, distributions & potential outliers in this dataset & create a report of takeaways from this dataset. 

After I got the output, I needed just concise key takeaways from the data. So, here's my follow-up prompt: 
- Write about 3 key takeaways from this data. 

Output I got:
- ChatGPT cleaned the data & gave me a good report, & then here are the key takeaways I got in an easy-to-understand way.

Do's of using ChatGPT for data analysis:
✅ Do prep your dataset.
✅ Do ask clear, specific analysis questions.
✅ Do validate AI results with real stats.
✅ Do use visualisations for better insights.
✅ Do cross-check with domain knowledge.

Don'ts of using ChatGPT for data analysis:
❎ Don't feed raw, messy data directly.
❎ Don't assume outputs are always accurate.
❎ Don't skip checking for bias or outliers.
❎ Don't use vague prompts like "analyse this".
❎ Don't rely on AI alone; always verify.

To get a more detailed explanation, 
Check the carousel below 👇 

What do you think of using ChatGPT for analysis?
Comment below 👇 

Learn AI for FREE: https://lnkd.in/eAAacxSK 

♻️ Share this to help your network use AI

How To Use ChatGPT For Analysis

I thought Google Nano Banana Pro was just another flashy update in AI image generation.

But I got a shock when I tried it for multiple business use cases.

Here’s the ultimate guide to creating mind-bending images with Google's Nano Banana Pro AI image generation model.

Prompt Template to create images:
Create a highly detailed image of [insert subject] set in [insert environment or setting], captured in [insert camera style or artistic style]. The scene should emphasize [insert key features, mood, or atmosphere], with lighting that enhances [insert lighting preference such as dramatic shadows, soft glow, neon reflections]. Include specific visual elements like [insert defining objects, textures, colors], and ensure the final image appears realistic, cinematic, and cohesive with strong composition.

How To Use It?
1. Go to gemini.google.com
2. Select the ‘Thinking’ model
3. Select ‘Create images’ in tools
4. Add your reference images if required
5. Add your prompt
6. AI generates the output in a minute

Do’s:
✅ Always use high-quality, well-lit reference images for crisp results.
✅ Specify subject, action, and setting clearly in each prompt.
✅ Refine with camera angle, lighting, and style details for better accuracy.
✅ Use constraints like aspect ratio or resolution for targeted results.
✅ Iterate by tweaking prompts for improved output quality.

Don’ts:
❎ Don’t use vague or generic prompts; results will be bland or off-target.
❎ Don’t overload with too many style or action requests in one prompt.
❎ Don’t use low-resolution or group photos as reference; AI struggles with blurry or crowded faces.
❎ Don’t forget identity markers when blending multiple people or scenes.
❎ Don’t expect perfect tiny text or intricate textures; these can render inaccurately.

To get more tips,
Check the infographic below 👇

Learn AI for free: https://lnkd.in/euYZeAdb 

What do you think about this new and trending AI image generation model?
Comment below 👇

♻️ Repost to help your network create better images with AI

I thought Google Nano Banana Pro was just another flashy update in AI image generation.

But I got a shock when I tried it for multiple business use cases.

Here’s the ultimate guide to creating mind-bending images with Google's Nano Banana Pro AI image generation model.

Prompt Template to create images:
Create a highly detailed image of [insert subject] set in [insert environment or setting], captured in [insert camera style or artistic style]. The scene should emphasize [insert key features, mood, or atmosphere], with lighting that enhances [insert lighting preference such as dramatic shadows, soft glow, neon reflections]. Include specific visual elements like [insert defining objects, textures, colors], and ensure the final image appears realistic, cinematic, and cohesive with strong composition. 

How To Use It?
Go to gemini.google.com
Select the ‘Thinking’ model
Select ‘Create images’ in tools
Add your reference images if required
Add your prompt

I used to end every day feeling like I worked all day but achieved less than my potential.

Then I added a new tool to my workflow, and the upgrade felt almost unfair.
I've added Google's Gemini 3.

Here’s the complete guide on how to use Google Gemini 3 to get more work done in less time.

Prompt framework you should use:
Role: Define who the AI should act as (e.g., expert, teacher, coach).
Task: Specify the exact job or output you want the AI to complete.
Context: Give details, boundaries, and exclusions to guide the AI properly.
Reasoning: Ensure logical steps, accuracy, and validation checks.
Output format: Tell ChatGPT the exact structure in which to return results.
Stop conditions: Clarify when ChatGPT should consider the task finished.

Prompt template:
Act as [Role] to [Task].
Begin with a checklist of 3–7 steps to plan how you’ll complete the task.
Ensure the content is accurate, unique, and excludes [things to avoid].
Prioritize clarity and practical value when presenting results.
Internally validate and cross-check information before finalizing.
Return the results in this format: [desired output format].
The task is complete when [stop condition].

Use cases of Google Gemini 3:
1. Do data analysis 
2. Create data visualisations
3. Create insane visuals for marketing, training, sales, and support
4. Create presentations
5. Create research reports
6. Create web apps
7. Create websites
8. Solve problems faster
9. Create games

To get more tips on how to use it better,
Check the infographic below 👇 

Learn AI for free: https://lnkd.in/euYZeAdb  

What do you think about Google Gemini 3?
Comment below 👇 

♻️ Repost to help your network be productive at work with Google Gemini 3

I used to end every day feeling like I worked all day but achieved less than my potential.

Then I added a new tool to my workflow, and the upgrade felt almost unfair.
I've added Google's Gemini 3.

Here’s the complete guide on how to use Google Gemini 3 to get more work done in less time.

Prompt framework you should use:
Role: Define who the AI should act as (e.g., expert, teacher, coach).
Task: Specify the exact job or output you want the AI to complete.
Context: Give details, boundaries, and exclusions to guide the AI properly.
Reasoning: Ensure logical steps, accuracy, and validation checks.
Output format: Tell ChatGPT the exact structure in which to return results.
Stop conditions: Clarify when ChatGPT should consider the task finished.

Stop writing random prompts.

Start writing structured ones that make AI work as your partner.

Here are 30 ChatGPT prompt templates to write better prompts. 

1. Detailed Instruction Template
"Give me detailed, step-by-step instructions on how to [perform a task]."
Example:
"Give me detailed, step-by-step instructions on how to set up a home Wi-Fi network."

2. Role Play Specialist Template
"Act as a [role/expert]. Help me with [problem/situation]."
Example:
"Act as a tax accountant. Help me with filing self-employment taxes."

3. Explain Like I’m Five (ELI5) Template
"Explain [concept] to me as if I were five years old."
Example:
"Explain blockchain technology to me as if I were five years old."

4. Comparison Table Template
"Create a table comparing [items or concepts] based on [criteria]."
Example:
"Create a table comparing electric vehicles, hybrids, and gasoline cars based on price, range, and emissions."

5. Pros and Cons List Template
"List the pros and cons of [topic/decision/technology]."
Example:
"List the pros and cons of working remotely full-time."

To know more prompt templates,
Check the infographic below 👇

What other prompt templates would you recommend adding here?
Comment below 👇

Learn AI for free: https://lnkd.in/euYZeAdb 

♻️ Share this to help your network use ChatGPT

Stop writing random prompts.

Start writing structured ones that make AI work as your partner.

Here are 30 ChatGPT prompt templates to write better prompts. 

1. Detailed Instruction Template
"Give me detailed, step-by-step instructions on how to [perform a task]."
Example:
"Give me detailed, step-by-step instructions on how to set up a home Wi-Fi network."

2. Role Play Specialist Template
"Act as a [role/expert]. Help me with [problem/situation]."
Example:
"Act as a tax accountant. Help me with filing self-employment taxes."

3. Explain Like I’m Five (ELI5) Template
"Explain [concept] to me as if I were five years old."
Example:
"Explain blockchain technology to me as if I were five years old."

4. Comparison Table Template
"Create a table comparing [items or concepts] based on [criteria]."
Example:
"Create a table comparing electric vehicles, hybrids, and gasoline cars based on price, range, and emissions."

5. Pros and Cons List Template
"List the pros and cons of [topic/decision/

30 AI algorithms that secretly run your life.

They choose what you watch.
They predict what you buy.
They know you better than you know yourself.

Here are 30 AI algorithms you can't miss.

1. Linear Regression
Predicts a number based on a straight-line relationship. Example: Predicting house prices from size.

2. Logistic Regression
Predicts a yes/no outcome (like spam or not spam). Despite the name, it’s used for classification.

3. Decision Tree
Uses a tree-like model of decisions with if-else rules. Easy to understand and visualize.

4. Random Forest
Builds many decision trees and combines their answers. More accurate and less likely to overfit.

5. Support Vector Machine (SVM)
Finds the best line (or boundary) that separates different classes. Works well for high-dimensional data.

6. K-Nearest Neighbors (k-NN)
Looks at the ‘k’ closest data points to decide what a new point should be. No learning phase, just compares.

7. Naive Bayes
Based on Bayes’ Theorem and assumes all features are independent. Fast and good for text classification.

8. Gradient Boosting
Builds models one after another, each fixing the previous one’s mistakes. Powerful but slow.

9. AdaBoost
Like gradient boosting, it combines weak models into a strong one using weighted votes.

10. XGBoost
A super-efficient version of gradient boosting, very popular in machine learning competitions.

To know more AI algorithms, 
Check the infographic below 👇

Have you started learning AI?
Comment below 👇

Learn AI for free: https://lnkd.in/euYZeAdb 

♻️ Share this post to help your network learn AI

30 AI algorithms that secretly run your life.

They choose what you watch.
They predict what you buy.
They know you better than you know yourself.

Here are 30 AI algorithms you can't miss.

Linear Regression
Predicts a number based on a straight-line relationship. Example: Predicting house prices from size.

2. Logistic Regression
Predicts a yes/no outcome (like spam or not spam). Despite the name, it’s used for classification.

3. Decision Tree
Uses a tree-like model of decisions with if-else rules. Easy to understand and visualize.

4. Random Forest
Builds many decision trees and combines their answers. More accurate and less likely to overfit.

5. Support Vector Machine (SVM)
Finds the best line (or boundary) that separates different classes. Works well for high-dimensional data.

6. K-Nearest Neighbors (k-NN)
Looks at the ‘k’ closest data points to decide what a new point should be. No learning phase, just compares.

Most people think they’re critical thinkers. 
They’re not.

They confuse skepticism with depth.
They confuse doubt with wisdom.
They confuse noise with thought.

These 25 ChatGPT prompts show you what real critical thinking looks like. 

1. First-Principles Deconstruction 
Act as a first-principles analyst. Decompose the problem: “{insert problem}” into its smallest assumptions, physical/financial/logical constraints, and causal mechanisms. For each assumption, evaluate its necessity (must-have vs convenience) and testability (how to falsify). Rebuild a solution from only the indispensable parts. Output in sections: Assumptions, Constraints, Mechanisms, Tests, Rebuild, Risks, Final Recommendation.
 
 2. Steelman the Opposition 
Act as an impartial philosopher. State my position: “{insert position}.” Identify the strongest possible opposing thesis that a highly intelligent critic would advance. Present the opponent’s best arguments, evidence, and counterexamples. Then respond by improving my position (not attacking a strawman) with revisions, concessions, and better evidence. Output sections: My Thesis, Steelman Opposition, Rebuttal, Revisions to My Thesis, Updated Thesis.
 
 3. Decision Tree with Expected Value 
Act as a decision scientist. For the choice “{insert decision},” enumerate mutually exclusive options. For each option, map a decision tree with key uncertainties and outcomes. Estimate probabilities, costs, and benefits; compute expected values and confidence ranges. Conclude with the dominant option, critical variables (by EV sensitivity), and what evidence would most change the decision. Output: Options, Trees, EV Table, Sensitivity, Value of Information, Recommendation.
 
 4. Red Team Pre-Mortem 
Act as a red-team strategist. Assume the plan “{insert plan}” failed catastrophically in 12 months. List the top 10 plausible failure modes, early warning signals for each, severity/likelihood ratings, and concrete countermeasures. Conclude with a prioritized mitigation roadmap and a monitoring dashboard (leading indicators, thresholds, and actions).
 
 5. Causal Map and Intervention Points 
Act as a causal modeler. Build a cause-effect map for “{insert outcome to improve},” identifying upstream drivers, mediators, and feedback loops. Label each link with direction and plausible strength. Propose 5 leverage points where small interventions could yield outsized effects, including intervention design, measurement, risks, and fallback plans.

To get more ChatGPT prompts, 
Check the infographic below 👇 

Have you tried using AI as your thinking partner?
Comment below 👇 

Learn AI for free: https://lnkd.in/euYZeAdb 

♻️ Share this to help your network use AI for critical thinking

Most people think they’re critical thinkers. 
They’re not.

They confuse skepticism with depth.
They confuse doubt with wisdom.
They confuse noise with thought.

These 25 ChatGPT prompts show you what real critical thinking looks like. 

1. First-Principles Deconstruction 
Act as a first-principles analyst. Decompose the problem: “{insert problem}” into its smallest assumptions, physical/financial/logical constraints, and causal mechanisms. For each assumption, evaluate its necessity (must-have vs convenience) and testability (how to falsify). Rebuild a solution from only the indispensable parts. Output in sections: Assumptions, Constraints, Mechanisms, Tests, Rebuild, Risks, Final Recommendation.

You give it a prompt.
It replies in seconds.
But here’s the part nobody tells you...

It doesn’t understand the way you do.
It’s not trained like humans.
It’s just... predicting?

Here’s the truth about how ChatGPT works and why it’s terrifyingly effective.

Step 1: You type a prompt.
Step 2: ChatGPT splits your input into smaller pieces called “tokens”.
Step 3: It converts these tokens into numbers (vectors) so the computer can understand them.
Step 4: ChatGPT checks where each token appears in your message using “positional encoding”.
Step 5: It uses powerful “transformer” neural networks to analyze all tokens at once, not just one by one.
Step 6: The model pays special attention to the most important words in your input using the “attention mechanism”.
Step 7: All this information passes through many transformer layers to understand deeper meaning.
Step 8: The model recalls patterns & knowledge learned from millions of examples in its training data.
Step 9: It predicts what word (token) should come next, aiming for the most likely and meaningful response.
Step 10: ChatGPT generates one token at a time, building its reply step by step. 

To know more about how ChatGPT works,
Check the infographic below 👇

Have you started learning AI?
Comment below 👇

Learn AI for free: https://lnkd.in/euYZeAdb 

♻️ Share this to help your network learn how ChatGPT works

You give it a prompt.
It replies in seconds.
But here’s the part nobody tells you...

It doesn’t understand the way you do.
It’s not trained like humans.
It’s just... predicting?

Here’s the truth about how ChatGPT works and why it’s terrifyingly effective.

Step 1: You type a prompt.
Step 2: ChatGPT splits your input into smaller pieces called “tokens”.
Step 3: It converts these tokens into numbers (vectors) so the computer can understand them.
Step 4: ChatGPT checks where each token appears in your message using “positional encoding”.
Step 5: It uses powerful “transformer” neural networks to analyze all tokens at once, not just one by one.
Step 6: The model pays special attention to the most important words in your input using the “attention mechanism”.
Step 7: All this information passes through many transformer layers to understand deeper meaning.
Step 8: The model recalls patterns & knowledge learned from millions of examples in its training data.

You're learning too slowly without realising it.

Here’s how to learn faster than ever with AI with Google NotebookLM.

About Google NotebookLM
- AI-powered “virtual research and learning assistant” that uses your uploaded content and prompt as a basis for conversation.
- Accepts diverse sources like PDFs, Google Docs, websites and Google Slides and can answer questions grounded in them.
- Generates summaries, explanations and even audio overviews (podcast-style) to help you understand learning materials quickly.

Follow these steps:
1. Go to notebooklm.google.com
2. Check any featured notebook if you want
3. Click ‘Create New Notebook’ to create a new one
4. Add the doc or link from which you want to learn
5. NotebookLM starts working on creating easy-to-digest content from your learning material.
6. You’ll get the study material summary prepared by NotebookLM.
7. Based on it, NotebookLM can create:
  - Audio podcast
  - Explainer video
  - Mind map
  - Reports
  - Flashcards
  - Quiz

How to use the output created by NotebookLM:
- You can share a custom link of your notebook for anyone to use it.

Do’s of using NotebookLM:
✅ Upload clean, relevant sources.
✅ Ask clear, specific questions.
✅ Organise into topic notebooks.
✅ Use summaries, quizzes, and overviews.
✅ Cross-check outputs with sources.

Don’ts of using NotebookLM:
❎ Don’t expect knowledge beyond uploads.
❎ Don’t dump irrelevant content.
❎ Don’t ask vague, broad questions.
❎ Don’t over-trust compressed summaries.
❎ Don’t share sensitive data.

To know more about NotebookLM,
Check the infographic below 👇

Have you tried using AI for learning?
Comment below 👇

Learn AI for free: https://lnkd.in/euYZeAdb 

♻️ Repost to help your network learn efficiently with AI

You're learning too slowly without realising it.

Here’s how to learn faster than ever with AI with Google NotebookLM.

About Google NotebookLM
AI-powered “virtual research and learning assistant” that uses your uploaded content and prompt as a basis for conversation.
Accepts diverse sources like PDFs, Google Docs, websites and Google Slides and can answer questions grounded in them.
Generates summaries, explanations and even audio overviews (podcast-style) to help you understand learning materials quickly.
Try here: notebooklm.google.com

Follow these steps:
Go to notebooklm.google.com
Check any featured notebook if you want
Click ‘Create New Notebook’ to create a new one
Add the doc or link from which you want to learn
NotebookLM starts working on creating easy-to-digest content from your learning material.
You’ll get the study material summary prepared by NotebookLM.
Based on it, NotebookLM can create:
Audio podcast
Explainer video
Mind map
Reports
Flashcards
Quiz

Anyone today can build an app.

With AI. In 5 minutes. From a single text prompt. Without any technical knowledge. 

Here’s the ultimate prompting guide to help you build apps with AI.

I use Replit.
It is a tool with which anyone can build mobile and web apps with AI from simple text prompts without writing a single line of code with Replit’s powerful AI agent.

How it works:
1. Go to replit.com 
2. Signup 
3. Describe the app or design idea in the build and design section
4. Select what you want to build
5. Add reference files or Figma designs or an existing project to build an app
6. Add your prompt
7. Get your prompt refined with AI if required
8. Submit your prompt
9. AI Agent starts building
10. You get the entire app built in minutes
11. Follow-up if you need any changes
12. Preview and test it
13. Invite your team to check and make any changes
14. Publish with Replit 

Do’s:
✅ Define a clear problem and user outcome before prompting.
✅ Start with a well-defined feature set and expand only after basic flow works.
✅ Provide concrete examples, data formats, and edge cases in your prompts.
✅ Test each generated feature manually in real user scenarios.

Don’ts:
✅ Do not expect the first generation to be production ready without review.
✅ Do not mix multiple unrelated features in a single long prompt.
✅ Do not skip security checks such as auth, validation, and rate limiting.
✅ Do not rely only on auto tests run by the tool without your own testing.
✅ Do not deploy to real users without monitoring, logging, and error alerts.

To get the complete guide to build apps with AI,
Check the infographic below 👇 

Try here: https://lnkd.in/e6Eua37q

What do you think about building apps with AI?
Comment below 👇 

♻️ Repost to help your network cook apps with AI

Every successful CEO has one secret weapon.

It’s not talent, money, or luck.
It’s the ability to make better decisions.

Here are 30 powerful ChatGPT prompts for efficient decision-making.

Strategic Business Decision Evaluation 
- I am deciding between [Option A], [Option B], and [Option C] for my business. Provide a structured decision matrix where you track each option against evaluation metrics such as long-term ROI, alignment, risks, and feasibility. Assign weights to each factor, rank for each score, and end with a scenario recommendation of the best choice along with possible trade-offs.
 
 Personal Life Choice Analysis 
- I need to decide between [Choice A], [Choice B], and [Choice C] for my personal situation. Consider life constraints like financial stability, budget, time, location, lifestyle impact, and weighted pros/cons to create a logical framework that concludes, supports, risks, and recommends the best direction based on what aligns with a clear justification.
 
 Career Path Decision Aid 
- I’m torn between pursuing [Career Path A] and [Career Path B]. Analyse both paths in terms of salary potential, required skills, long-term growth opportunities, and career stability. For each option note risks and rewards, highlight career paths made by others with similar roles, and decide which one is the best fit for my values [insert personal values].
 
Investment Opportunity Comparison 
- I am considering investing in [Investment A], [Investment B], or [Investment C]. Create a risk/return analysis, a timeline to liquidity, use of long-term potential gains, income stream potential, and which option is most aligned with my financial portfolio strategy. Provide a decision recommendation of which option is superior for my investor profile.
 
 Time Management Decision Support 
- I have [X hours] available per day and need to allocate them between [Activity A], [Activity B], and [Activity C]. Optimise the schedule with balances in effectiveness, rest, and long-term productivity. Recommend the best time allocation plan with practical proof and examples, and create a framework based on a sample day plan.

Note: AI can help you with fast decision-making, but take all important decisions only by adding your human thinking and intuition to it.

To get more ChatGPT prompts, 
Check the infographic below 👇 

Which one prompt did you like the most here?
Comment below 👇 

Learn AI for free: https://lnkd.in/euYZeAdb 

♻️ Share this post to help your network use AI for better decision-making

Every successful CEO has one secret weapon.

It’s not talent, money, or luck.
It’s the ability to make better decisions.

Here are 30 powerful ChatGPT prompts for efficient decision-making.

Strategic Business Decision Evaluation 
I am deciding between [Option A], [Option B], and [Option C] for my business. Provide a structured decision matrix where you track each option against evaluation metrics such as long-term ROI, alignment, risks, and feasibility. Assign weights to each factor, rank for each score, and end with a scenario recommendation of the best choice along with possible trade-offs.
 
 Personal Life Choice Analysis 
I need to decide between [Choice A], [Choice B], and [Choice C] for my personal situation. Consider life constraints like financial stability, budget, time, location, lifestyle impact, and weighted pros/cons to create a logical framework that concludes, supports, risks, and recommends the best direction based on what aligns with a clear justification.

You don't need to spend hundreds of hours on learning the old way. 

Perplexity can become your smartest tutor only if you know what to ask.

Here are 20 Perplexity prompts that will help you learn more in less time.

Here are the use cases for which you can use Perplexity for learning:
✅ Comprehensive Topic Overview
✅ Step-by-Step Learning Roadmap
✅ Concept Comparison Table
✅ Academic Paper Summary & Analysis
✅ Beginner-Friendly Theory Explanation
✅ Chronological Timeline of Key Events
✅ Case Study Breakdown
✅ List of Best Practices
✅ Technical Term Deep Dive
✅ Overview of Research Methodologies

And more use cases with prompts are covered in the infographic below 

Will you try using Perplexity for learning?
Comment below 👇 

Learn AI for free: https://lnkd.in/euYZeAdb 

🔁 Repost to help your network use AI for learning

You don't need to spend hundreds of hours on learning the old way. 

Perplexity can become your smartest tutor only if you know what to ask.

Here are 20 Perplexity prompts that will help you learn more in less time.

Here are the use cases for which you can use Perplexity for learning:
✅ Comprehensive Topic Overview
✅ Step-by-Step Learning Roadmap
✅ Concept Comparison Table
✅ Academic Paper Summary & Analysis
✅ Beginner-Friendly Theory Explanation
✅ Chronological Timeline of Key Events
✅ Case Study Breakdown
✅ List of Best Practices
✅ Technical Term Deep Dive
✅ Overview of Research Methodologies

It took them 9 years to hit $500,000,000 ARR.

Then just one year to 2x it.

This is what you get,
When infrastructure finally catches up with ambition.

Because scaling businesses globally shouldn’t feel like fighting gravity.

The fastest-growing companies, from Canva to Brex, aren’t waiting on legacy systems.
They’re growing with Airwallex

They’re moving money, 
Across 60+ currencies without friction.
Managing spend, 
And scaling financial operations for global businesses.

$1,000,000,000 ARR isn’t just a regular financial milestone.

It’s proof that borderless finance is becoming the default layer of global business.

And for founders building the next wave of AI, SaaS, or e-commerce,
This is the infrastructure quietly powering your growth behind the scenes.

The internet made business global.
Airwallex made finance global.

Why I like Airwallex 👇
→ Trusted by 150,000+ companies.
→ Built for scale, speed, and smarter cross-border ops.

Legacy banking had a good run.
But the next era of growth?
It’s built on infrastructure that moves as fast as you do.

Learn more here 👉 https://lnkd.in/e8KW2nv8

What do you think about using such a globally scalable financial infrastructure in businesses? 
Comment below 👇 

♻️ Share this to help your network use modern financial systems in their businesses 

#AirwallexPartner

You’re still doing manual work in 2025?

It’s draining profits.
It’s wasting hours.
It’s killing growth.

Here are 50 AI tools that will help you with your most painful tasks.

Marketing
- Writesonic
- Taplio

Sales
- Clay
- Apollo

Development
- Cursor
- Windsurf

Support
- Folk
- Tidio

Operations
- Notion
- Rows

If you want to know more tools,
Check the infographic below 👇

What other AI tools would you recommend adding here?
Comment below 👇

Learn AI for free: https://lnkd.in/euYZeAdb 

♻️ Share this to help your network use the best AI tools

You’re still doing manual work in 2025?

It’s draining profits
It’s wasting hours
It’s killing growth

Here are 50 AI tools that will help you with your most painful tasks.

Marketing
Writesonic
Taplio

Sales
Clay
Apollo

Development
Cursor
Windsurf

Support
Folk
Tidio

Operations
Notion
Rows

Matt Swain

LinkedIn for Founders & Execs

I’ve built my career as a creator, thought-leader, author and entrepreneur who helps executives and founders evolve their online presence into genuine influence. I’ve had the privilege of working with global icons such as Wim Hof, Steven Bartlett and Arthur Brooks, and collaborated directly with LinkedIn to shape the conversation around digital content, executive-led brands and how social influence can drive commercial growth.

At the start of 2024, I founded Triangle Branding, an exclusive B2B thought leadership agency built for category-leading founders and CEOs who want to turn their ideas into influence. We help them build human-led digital reputations by using their own personal voice to drive commercial impact through LinkedIn-first content, strategic storytelling and demand-generation systems. 

Over the last 18 months, we’ve helped clients raise over $100M, land deals with companies such as Sony, Nvidia and Virgin, had 100 million eyeballs on clients’ content and generate meaningful inbound opportunities by building executive-led brands that people trust.

www.triangle-branding.com

Founder of SOCIAL CLUB

Founder and Manager of SOCIAL CLUB - an exclusive social media community where members manage over 328 million followers. 

If you're an influencer or brand who wants to connect please get in touch. 
If you're interested in investing/sponsoring/collaborating please email on matt@mattswain.co.uk

4 years ago on a random Wednesday morning I hit post on LinkedIn. 

It's been a wild ride since: 

– Publishing my first book
– Winning clients, losing clients
– Hitting record-breaking months
– Speaking on international stages
– Travelling & working across continents 
– Hiring my first team member (then my tenth)
– Waking up to emails from Fortune 500 brands
– Heaps of self-doubt, rejection and imposter syndrome
– Working with Wim Hof, Arthur Brooks, and Steven Bartlett

When I set out on this journey, I focused on followers, impressions, metrics - they mattered. 

But as you grow, you forget all about those, and start to focus on how posting online opens up business, friendships, opportunities - the things the numbers can't capture. 

So while hitting 50,000 followers should feel like a milestone - it doesn't. 

Because I've come to realise, it's not about the audience. It’s about the projects, conversations, people, opportunities, connections, meaning and growth that comes with it.

500 to 50,000 followers - my takeaway 

I was invited by LinkedIn to attend B2Believe, and the message was clear:

B2B is shifting faster than most teams realise. Creativity, buyer confidence, and human connection are becoming the new growth levers.

Here are my 7 core takeaways (share & save this!) 

1. Creativity is becoming the language of B2B

Creative that grabs and holds attention multiplies leads by 3x. But while 92% say consistent creative matters – only 12% deliver it. 

49% B2B decision-makers say they’re more likely to explore a company if its advertising is creative

40% B2B decision-makers say they’d be more likely to consider a purchase if the ad is seen as “creative”


2. Millennials + Gen Z now make up 71% of B2B buyers 

You need to engage them differently – they respond to: Cultural references; human stories; faces, not logos. 

87% of B2B buyers now prefer content from trusted industry influencers over brand-authored content.


3. Buyability: the new model for growth

B2B buying is slow because buyers don’t feel safe with 64% of marketers saying decisions now take longer. 

The top job-to-be-done is: “Can I defend this decision if it goes wrong?”

Buyers don’t need more information — they need more confidence.


4. Your network is a marketing asset — not a distribution channel

When employees from your target accounts follow your company, you generate 2.4x more leads.

And when senior decision-makers at those target accounts are connected to your employees, that jumps to 2.2x more leads.

You are more than 20x more likely to be bought when everyone in the Buyer Group knows you on Day One. Build brand, trust & authority with the right people. 


5. Video is non-negotiable

Jonathon Palmer said it well: Sound, movement, and visual cues trigger far stronger memory formation than static content ever can.

It generates 1.4x more engagement, meaning more people stop, watch, and interact.

And most importantly: viewers retain 95% of the message when it’s delivered via video.

+20% more leads are driven with video

Attention is scarce and recall is even scarcer. Video gives you the highest chance of being remembered — and being acted on.


6. Employee content > corporate content

B2B is shifting from logos to faces; from corporate statements to human voices.

Even when only 3% of employees post regularly, companies drive 20% more leads.

So bring your team to the forefront. 


7. Brand and demand are no longer separate

Everything now all comes down to trust, Tunji Akintokun put it: “In B2B, trust is the ultimate growth metric that closes deals.”

The era of “brand OR performance” is finished. Full-funnel integration is now a growth multiplier with always-on brand activity showing +10% conversion lift. 


In summary: 

The brands that win in 2025 won’t be the ones who look good in reports — they’ll be the ones who move buyer groups to act.

In partnership with LinkedIn for Marketing #Ad

He has 2,100 followers and averages 5 likes a post. Yet books in calls with Nvidia, HP & Shell. True story of one of my clients: 

His LinkedIn presence books monthly new business development opportunities with $10m annual contract value. 

Yet, we don't follow any of the "hacks" or "templated content" or "automated outreach" approaches that go viral on here. Because if you're selling to high-value decision makers with 7-figure deals, they won't work. 

Our process at Triangle starts long before the post goes live. We study how your ideal buyers think – their pressures, quarterly goals, decision frameworks, and what creates credibility in their world. And build an authority-building content strategy and human-touch DM messaging plan around that. 

If you're just hoping that hitting post and sending a few random connects is enough – it's not. If you want to reach your long-term demand-generation goals with LinkedIn – you need a nuanced, custom approach based on your business, target persona and wider marketing strategy. 

LinkedIn can open doors to 7-figure opportunities – but only if you stop playing the same game as everyone else.

10 shocking stats you need to know about the Creator Economy:

(1) Nearly 1 in 3 creators launched a product, agency or SaaS tool in 2025 – the line between creator and entrepreneur is gone.

(2) HubSpot now allocates 10% of its influencer budget to LinkedIn, while Notion will spend 40–45% here by end of 2025. LinkedIn is the place to be for B2B creators. 

(3) The creator economy will grow from $191B in 2025 to $528B by 2030 – a 22.5% CAGR. The “creator economy” is no longer a niche – it’s the next great economic sector built on individual IP.

(4) Unilever will allocate half of its entire marketing budget on socials by the end of 2025. Legacy brands are admitting what startups already knew – creators are the new media channels.

(5) 1 in 5 social media users now identify as a creator – everyone’s a broadcaster now.

(6) Knowledge creators (educators, founders, consultants) earn 3x more than lifestyle creators with the same audience size. Depth beats aesthetics – audiences are craving insight, not aspiration. 

(7) The average enterprise spends $1.7M/year on creator collaborations, up 40% since 2022. Creator partnerships have gone from “test campaigns” to core marketing channels. 

(8) 91% of creators now use AI tools as part of their workflow – AI has turned solo creators into full production teams.

(9) Courses, newsletters and podcasts, known as the knowledge creator stack, are now the fastest-growing revenue channels in the creator economy. Creators are moving from ad-driven to IP-driven models. The goal isn’t virality – it’s ownership.

(10) 82% of consumers say they trust creators more than brand ads. In an era of AI-generated everything, human credibility is the ultimate growth moat.

The Creator Economy is only going in one direction – up! 

And with the rise of knowledge creators, LinkedIn is a core platform marking a new era where expertise outperforms entertainment.

Jae Oh flew in from San Francisco for B2Believe, and LinkedIn asked me to sit down with him to kick off their new series, #B2BOverBevies. Jae leads measurement at LinkedIn, and he’s one of the few people who actually sees how B2B performance, intent, and ROI play out in reality on the platform. 

We talked about the myths holding teams back: why ROAS is often misunderstood, why intent now matters as much as conversion, why incrementality reveals what dashboards hide, and the difference between confidence & clarity for marketers.  

Conversation dropping soon! 👀

2 weeks ago, we got introduced to a Harvard Professor. We've been working with one of their colleagues and generated 4.5 million views in the last 90 days and grew their audience by 19,500 followers. 

We sat down with this new professor and talked about what they’re trying to achieve over the next 6 months. 

They have a book launching with Penguin in 2026 & want a channel to drive speaking and corporate training bookings. And they want a brand that does justice to 20+ years of academic research, depth of thinking, and nuance in their ideas – this is what we do best. 

We built an action plan and walked through our strategy, our process and a bunch of initial ideas. 

They loved it & signed contracts 2 days later. 

We kicked off yesterday with our Deep Dive session where we: 

(1) Codified his Intellectual Property – So he can own a clear space in his market — anchored in his strongest ideas, opinions, and niche-defining frameworks.

(2) Mapped his Story Arcs – Extracting the pivotal moments, transformations, and turning points that make his journey memorable, relatable, and worth following.

(3) Distilled his Core Messaging Pillars – Clarifying the 3–5 themes he’ll become known for — so every post, story, and idea reinforces a consistent, recognisable brand.

I get asked about the best thing about Triangle – and my answer is always the same – our client base is incredible. 

Week after week, we get to partner with world-class thinkers, operators, founders, professors, economists, and industry leaders who are shaping the conversation in their fields.

Taking their brilliance and building the systems, stories, and positioning that make the world take notice.

10 unpopular opinions about LinkedIn that I'll stand by:

1. Your "thought leadership" post with zero original thought is just noise. If ChatGPT could write it, why are you?

2. Posting 3x a week without strategy is worse than not posting at all. You're training your audience to ignore you.

3. 2,100 followers who buy from you beats 100k who scroll past you. I've seen clients book calls with Nvidia, HP & Shell averaging just 5 likes per post.

4. Stop chasing viral templates. Lean into your unique advantage, core IP, and the expertise only you can deliver. That's what creates category ownership.

5. Your company page isn't going to drive results. Faces drive 10x more engagement than logos - bring YOU to the forefront. 

6. "Building in public" only works if you're actually building something and sharing your lessons from the trenches. Your morning coffee routine isn't a founder story. 

7. Most founders spend 5 hours writing one post. We get 10 posts from 1 hour of conversation. You don't need more time – you need better systems.

8. Millennials and Gen Z make up 71% of B2B buyers. If you're still writing like it's 2015, you're speaking to an audience that's already left.

9. Your audience doesn't need more information. They need confidence to make decisions. Stop educating, start reassuring.

10. LinkedIn isn't a content platform. It's a trust-building platform. If you're not increasing buyer confidence, you're doing it wrong. 

--

B2B buying is slow because buyers don't feel safe. 

Their top question isn't "Does this work?" – 
It's "Can I defend this decision if it goes wrong?"

Every post should build confidence, not just awareness.

If you still think LinkedIn is “just a place to post” – think again.

Because the results we’re generating for clients right now — from Harvard professors to £100M founders – show a completely different reality.

A reality where content isn’t vanity… it’s pipeline, authority, and multi-seven-figure opportunities.

Some of our results: 

Client A – Director, Co-working Space (London)

Goal: Increase visibility, attract inbound demand, and build a steady flow of MQLs.

Result:
- 300,000 impressions in 90 days
- 1,381 highly targeted new followers
- 51 MQLs
- One week with £300,000+ inbound leads


Client B – Leader in Emerging Tech

Goal: Build authority from scratch, grow an industry audience, and position as a recognised voice.

Result:
- 24,255,000 impressions
- 9,953 engagements on best post
- 3,034 profile views in 90 days
- Grew from 300 connections → 10,000 followers


Client C – CRO at $150M ARR B2B SaaS

Goal: Produce high-quality, technical executive content that drives engagement & industry visibility.

Result:
- 635,363 impressions in first 2 months
- 1.25% engagement rate
- 7,396 reactions, 529 comments, 35 shares
+5,609 profile views


Client D – Co-Founder at £100M Agency, Forbes 30 Under 30

Goal: Create strategic content & outbound to open enterprise doors and generate pipeline.

Result:
- 310,866 content impressions
- 55+ MQLs
- 10+ SQLs in first 2 months (including SVPs at Snap, Paramount, etc)
- Reached senior decision makers across Coca-Cola, Unilever, EA, Ubisoft, etc.
- Attracted organic engagement from execs at Nike, Mars, L’Occitane, Swatch, L'Oréal


Client E – CEO, Energy Tech Platform (1,000+ employee clients)

Goal: Build authority in the energy & climate sector and drive enterprise conversations.

Result:
- 164,676 impressions
- 410 engagements on best post
- 1,411 profile views
- Audience surpassed 16,000+ professionals
- Booked meetings with leaders at Walgreens, Starbucks, GSK, Mars


Client F – Harvard Professor & Author

Goal: Expand thought leadership reach, attract senior decision-makers, and strengthen global influence.

Result:
- 5M+ impressions in 90 days
- 40,000 engagements
- 3,000,000+ impressions on best post
- Earned LinkedIn Top Voice
- Invited to LinkedIn’s exclusive Creator Programme
- 34% of his 78,000 followers are senior decision-makers at 10k+ employee companies

This is what happens when you combine premium positioning, high-quality thought leadership, and human-led outbound into one system designed to earn attention from the people who actually want to reach. 

If you want to build the same level of authority and demand in 2026, send me a message!

If you’re struggling to post consistent, high-quality content, you don’t have a system in place. 

Yesterday we spent 1-hour with a CEO client in the energy space, who with our support is signing enterprise deals through his LinkedIn. 

We ran one of our Strategic Ideation Sessions (think podcast-styled-conversation) where we got 10 posts from 1 hour together. 

They share their incredible ideas, insights & stories. 

We layer in our LinkedIn expertise. 
We run the whole system. 
We do all the research.
We ideate, write, schedule, assets, report. 

This is the power of having a repeatable content engine.
This is how you stay consistent without burning out.
This is how you show up as a category leader every week.

Here’s the posts we ideated: 

1. Tapping into the macro narrative their ICP cares about. 

2. Riding the AI + energy discourse dominating LinkedIn. 

3. Speaking the same language as his prospects. 

4. Reframing risk to shift how his audience thinks. 

5. Building credibility through relatable leadership storytelling. 

6. Reinforcing their biggest commercial differentiator. 

7. Using story + analogy to create memorable insight. 

8. Speaking to enterprise frustration to drive demand. 

9. Delivering a simple “aha” insight for his ICP. 

10. Injecting personality and humour to increase relatability. 


All strategically building the right blend of touch-points to drive 127,221 impressions, 35 MQLs, 5 booked calls with VP's at enterprise companies - in the last 30 days. 

Building his influence - but also generating commercial value.

A Fortune 500 CMO called me last week: "Matt, we're posting 3x a week and getting nowhere. What are we missing?"

I pulled up their content. 

No imagination.
No strategy.
No system.
Not audience-first.
Not LinkedIn-first.
Just… posts.

That's when I showed them the framework we use at Triangle – the same one that's generated 1,500,000 impressions for our clients in the last 30 days.

Every piece of content we create passes through 4 critical filters:

1) The Content Test: Would you stop scrolling for this? We obsess over hooks, clear angles, and making sure there's one unmistakable takeaway your audience will remember. 

2) The Data Layer: Your best-performing post from 6 months ago? Run it again with a fresh hook. That viral TikTok format? Test it on LinkedIn. We track everything – which hooks work, which stories resonate, which formats your ICP actually engages with.

3) The Strategy Check: Every post needs a job. Drive traffic? Build authority? Generate leads? We time posts with industry moments, tag the right people, and always include a clear next step. 

4) The Soul Filter: This is where most content dies. If it doesn't move you, it won't move them. We ask: Could the client have written this themselves? Will anyone care about this next week? Does this actually add value or just add noise?

Posting is not enough. 

You need strategy, results, outcomes with quality & authentic content that genuinely grows your audience and builds authority & trust.

--
We've been working hard on our content formula the last couple months - the image shows screenshots of some of our client results.

While everyone talks about being consistent, it is the No.1 proof point of success. 

The truth is: everything meaningful in business compounds. Authority compounds as you show up with perspective. Trust compounds as people see you week after week. Distribution compounds when your name becomes familiar. But none of these effects reveal themselves quickly. You have to be in the game long enough for the multiplication to begin — and almost nobody is.

This means you need to build a systemised Content Engine for: 

1. Volume/reps over a long time period. 
2. Quality, authentic, original, value-adding content. 

I’ve seen it with clients, we start working together and build momentum, with more touchpoints, more qualified leads, more premium positioning. Then they leave and stop posting. Within weeks, everything slows down. The awareness. The authority. The inbound demand. The shorter sales cycles. All the benefits evaporate as quickly as they appeared. Not because the strategy stopped working — but because the consistency did.

It feels like trite advice, and to be honest, it is. But I believe it is the No.1 factor determining success.

Excited to be sharing our playbook with the Apollo community next week — breaking down the exact system we use to book calls with senior decision makers at companies like Nvidia, Sony Ericsson, Virgin, Starbucks, Walgreens, GSK and more. 

Through a blend of authority-building content, expert positioning, signals and high-intent human-led outbound.

Excited for this one!

Having spent 3 years building leading personal brands, generating over 100 million impressions and now running an agency turning CEO's & Execs into Thought Leaders on LinkedIn, I've always felt that: 

A founder’s voice is the most valuable marketing asset a company has.

We all know, people buy from people. 

And now, the latest data from LinkedIn backs this up. 

– Startups whose founders post at least ten times a year on LinkedIn generate 33% more leads than those who remain silent.

– Deals close 22% faster when buyers feel they know the founder. Sendoso reported an 11% higher win rate and 120% higher deal sizes when prospects followed their executives.

– Hootsuite, CEO Irina Novoselsky traced 37% of monthly leads and £12 million in influenced pipeline directly to her presence on LinkedIn.

This is the commercial ROI of visibility on LinkedIn through Execs.  

The founder’s perspective builds trust long before a sales conversation begins. It strengthens pricing power, accelerates recruitment, and shortens deal cycles.

Momentum also grows quickly once consistency sets in. Founders who post regularly achieve three times more engagement and four times more followers than those who post occasionally. You create organic, value-adding, authority & trust-building touch-points with your network at scale. 

At Triangle, we've seen this first-hand. And have so many case studies showcasing the impact of this in action. 

If you're not activating your CEO & Execs on LinkedIn with authentic content – you're missing out.

How to get 100k+ impressions and booked conversations with enterprise companies through LinkedIn (a case study):

A CEO came to us frustrated that LinkedIn wasn’t driving the growth, visibility, or conversations they expected.

We took over the content (fully DFY) and built an Outbound motion through the CEO’s profile.

Taking him from no traction, no booked conversations, no growth on LinkedIn. 

To these results:  

– 170,000+ impressions
– 1,450 profile views 
– 111 MQLs
- 5% monthly follower growth
– 23 booked calls with VPs at Starbucks, Mars, Lidl, and more. 

Here’s what made the difference:

(1) Content that focused on the buyer – their world, their problems – building trust and content specifically designed to reach audiences beyond their existing network.

(2) A DM approach designed to engage senior decision-makers at 1,000+ companies – targeted, human, conversational, and relationship-based, using our proven data points and message frameworks.

(3) A streamlined, systemised setup so the CEO only needed to dedicate 2 hours a month – we handled the heavy lifting to keep everything consistent (because consistency is what compounds).

Proof that when you combine the right content with targeted outreach – LinkedIn becomes a growth engine.

Want to do the same? Happy to share our learnings over a Strategy call.

taplio

The Battle

Adam Biddlecombe

Matt Swain

Followers

Posts

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Performance ScoreAdam Biddlecombe's LinkedIn Performance

Performance ScoreMatt Swain's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Adam Biddlecombe

Matt Swain

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Adam Biddlecombe's LinkedIn Performance

Performance ScoreMatt Swain's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreAdam Biddlecombe's LinkedIn Performance