Lindsay Rosenthal

Founder | Creator | Strategist | Building AI, Leaders, & Ideas That Move Markets

For sponsorships + booking + speaking: hello@cred.marketing
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I build AI, leaders, products, and ideas that move markets.

As a founder, creator, and strategist, I’ve taken products from concept to market, scaled sales engines, built teams, and created campaigns that drive both revenue and cultural relevance. Deeply integrating AI in every step of the way. 

My experience spans SaaS, AI, B2B, and beyond, working alongside the companies and executives shaping tomorrow’s most important industries. (Would love to work with yours!)

I operate where innovation meets execution. 
Blending the reach of a creator, the precision of a strategist, and the perspective of an AI founder who has built and scaled from the ground up. 

The result: content, campaigns, AI, and go-to-market strategies that cut through the noise and position brands at the forefront of their markets.

Founder

1 month of content in 1 hour

my top B2B pick that’s killing the content game:

(and how you can follow their lead!)

ClickUp generates 100m+ views a month.

here’s their secret:
they operate like a media company.
not just a SaaS brand.

1. more accounts, more feed real estate

they run multiple personalities: humor, productivity, culture.
this means you see them multiple times in one scroll.

2. employees are key distribution

folks killing it like Zeb Evans, Chris Cunningham, Gaurav Agarwal, Kyle Coleman, Gregory Swan, Matt Bauman.
high value, personal, behind the scenes content.

3. speed 

around 10 vids / week.
iphone setups. minimal editing.

they also test constantly:
winners get remixed.
competitor formats get adapted.
trends get used fast.
wild ideas get tried.

high volume = fast feedback

4. platform native execution

Tiktok for humor.
Insta for skits and culture.
LinkedIn for thought leadership.
long form for depth.

they are experts on each platform’s unique vibe.

5. media company mindset

they hire actors and creatives.
they run writers’ rooms.
employees are empowered to post.

the goal is attention first, product second.

the result:
- organic reach
- low CAC
- memorable brand
- resilience to algorithm shifts

job well done to the entire ClickUp team!!

How ClickUp generates +100M views per month

good ideas don’t get you results. 

a clean system does.

every B2B creator campaign starts with a great spark.
but without the right setup, it’s all chaos and stress.

I see it all the time with the 50+ brands I work with:
Big plans for a killer campaign
But then 10+ tools, 100 emails, and no clue what actually went live and how it impacted the overall campaign / goals

brands make this way harder than it needs to be.
creators get lost in the shuffle.
tracking results feels actually impossible sometimes.

that’s why we built Synnc.

so you can actually run campaigns start to finish
without drowning in spreadsheets or losing your mind in the process.

For brand collaboration: hamna@joinsuperhuman.io

I teach founders, operators, and ambitious professionals how to use AI to boost their productivity.

I break down:
• Practical AI tools that eliminate busywork
• Step-by-step tutorials you can implement immediately
• AI workflows that replace manual processes
• Agent-based systems that scale output
• Automation that compounds over time

Everything is tested in the real world.
If it doesn’t create leverage, I don’t share it.

Hamna Aslam Kahn

Dear Developers: Here's how to get the most of your Claude MD file

Here are 10 insights from building Claude Code projects the right way:

P.S. My team teaches how to code with AI to 200K+ engineers at no cost (in 5 mins a day) here: https://lnkd.in/dMGZuZAj

𝟭. 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 𝗶𝘀 𝗿𝗲𝗽𝗼 𝗺𝗲𝗺𝗼𝗿𝘆, 𝗻𝗼𝘁 𝗮 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗱𝘂𝗺𝗽

Keep it short: purpose (WHY), repo map (WHAT), working rules (HOW)
The moment it gets bloated... Claude starts missing the stuff that actually matters

𝟮. 𝗧𝘂𝗿𝗻 𝗿𝗲𝗽𝗲𝗮𝘁𝗲𝗱 𝗶𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻𝘀 𝗶𝗻𝘁𝗼 .𝗰𝗹𝗮𝘂𝗱𝗲/𝘀𝗸𝗶𝗹𝗹𝘀/

Code review checklists, refactor playbooks, release procedures... all belong here
This is how you get consistency across sessions and across teammates

𝟯. 𝗛𝗼𝗼𝗸𝘀 > 𝗺𝗲𝗺𝗼𝗿𝘆 𝗳𝗼𝗿 𝗮𝗻𝘆𝘁𝗵𝗶𝗻𝗴 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰

Models forget. Hooks don't.
Run formatters after edits, run tests on core changes, block unsafe directories like migrations or auth

𝟰. 𝗨𝘀𝗲 𝗱𝗼𝗰𝘀/ 𝗳𝗼𝗿 𝗽𝗿𝗼𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 𝗱𝗶𝘀𝗰𝗹𝗼𝘀𝘂𝗿𝗲

Claude doesn't need everything in the main context. It needs to know where the truth lives
Architecture overviews, ADRs, and runbooks stay in docs/ — referenced, not stuffed into prompts

𝟱. 𝗣𝘂𝘁 𝗹𝗼𝗰𝗮𝗹 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 𝗳𝗶𝗹𝗲𝘀 𝗻𝗲𝗮𝗿 𝘁𝗵𝗲 𝘀𝗵𝗮𝗿𝗽 𝗲𝗱𝗴𝗲𝘀

src/auth/, src/persistence/, infra/ — these are where the "gotchas" live
Small context files here mean Claude picks up the danger exactly when it's working in that folder

𝟲. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗹𝗶𝗸𝗲 𝘆𝗼𝘂'𝗿𝗲 𝗼𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴 𝗮 𝗻𝗲𝘄 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿

If a new hire would be confused by your repo layout, Claude will be too
Clean repository structure isn't optional. It's the foundation of everything else

𝟳. 𝗞𝗲𝗲𝗽 𝗔𝗜 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗺𝗶𝗻𝗶𝗺𝗮𝗹 𝗮𝗻𝗱 𝗽𝗿𝗲𝗰𝗶𝘀𝗲

More context ≠ better output. This is the biggest trap I see developers fall into
Give Claude exactly what it needs, nothing more

𝟴. 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 (𝗔𝗗𝗥𝘀)

Claude can't infer why you chose Postgres over DynamoDB or why auth lives in a separate service
Write it down. Put it in docs/decisions/. Now Claude respects your choices instead of fighting them

𝟵. 𝗧𝗿𝗲𝗮𝘁 𝗽𝗿𝗼𝗺𝗽𝘁𝘀 𝗮𝘀 𝗺𝗼𝗱𝘂𝗹𝗮𝗿 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀

Store them in tools/prompts/. Version them. Reuse them
Stop copy-pasting the same instructions across conversations... that's how drift happens

𝟭𝟬. 𝗣𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴 𝗶𝘀 𝘁𝗲𝗺𝗽𝗼𝗿𝗮𝗿𝘆. 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗶𝘀 𝗽𝗲𝗿𝗺𝗮𝗻𝗲𝗻𝘁.

When your repo is organized this way, Claude stops being a chatbot
It starts acting like a project-native engineer who understands your system

The real unlock with Claude Code isn't better prompts.

It's better project architecture.

Follow me to get insights on how to use AI at work and beyond. Join the world's biggest AI newsletter with 1M+ readers ↓

Anthropic just made professional AI education free for everyone.

They have launched Anthropic Academy, a new platform with 13 courses focused on practical AI skills. 

The program covers MCP, APIs, Claude Code, and model fluency, giving people a clear and structured way to understand how today’s AI models work.

Free Courses, official certificates at $0.00. 

Not long ago, bootcamps were charging up to $2,000 to teach earlier versions of these same topics.

This is not just theory. The lessons focus on real use cases and hands on practice, helping developers, builders, and beginners learn how to use Claude and related tools in real projects.

As AI becomes a core skill across industries, access to solid training matters more than ever.

You can access the courses at anthropic. skilljar .com

Get more free courses + resources here: https://lnkd.in/dMGZuZAj

You don’t need a $10,000 AI bootcamp.

You need the right YouTube channels to learn AI.

If you’re learning AI in 2026, here’s a list actually worth following to stay sharp with AI trends, tools and insights:

Andrej Karpathy
→ Founding member of OpenAI and the former Director of AI at Tesla. His "Zero to Hero" series is legendary. Posts once a year but that’s enough to create ripples in the AI industry.

(Note: He taught Stanford's first Deep Learning course (CS231n), which trained the first generation of modern AI engineers)

GenAI Explained
→ Turning complex AI breakthroughs into short, practical, and easy to understand videos that help you discover what matters, learn how it works and grow your skills in real-time. Backed by a global community of 13M+ builders and researchers

Stanford Online
→ Ivy League education for free. Famous CS224N (Natural Language Processing) and CS231n lectures. 
Watch the world’s leading researchers (like Li Fei-Fei and Christopher Manning) deliver the same content their students pay thousands for.

Serrano Academy
→ Luis Serrano (PhD in Math and Author) simplifies complex topics through hand-drawn cartoons and analogies. Learn attention mechanisms and LLMs with a friendly and high-energy vibe.

Jeremy Howard
→ Top-down learning. Build the app first, figure out the math later. Teaches practical deep learning for coders. No PhD required. 

3Blue1Brown
→ Visual poetry. Grant Sanderson uses his own custom animation engine (Manim) to visualize neural networks, backpropagation and linear algebra.

He made the Transformer architecture (the T in ChatGPT) visually understandable for the first time.

Hamel Husain
→ Learn the dirty work of AI: evaluations (evals), data curation and deployment. He is the Engineer's Engineer. Former Lead ML Engineer at GitHub and Airbnb and a major contributor to open-source tools like nbdev.

Dave Ebbelaar
→ King of RAG (Retrieval-Augmented Generation). While others talk about models, he talks about pipelines and how to connect your private data (PDFs, Notion, SQL) to an LLM safely.

Machine Learning Street Talk
→ Deeply technical and unedited. Interviews with AI rebels like Yann LeCun (former Meta's AI chief), who challenge the current direction of LLMs. Critical, non-hype perspective.

Lex Fridman
→ Introspective interviews with everyone who matters in AI: Sam Altman, Demis Hassabis, Yann LeCun, Elon Musk. Vision and history of where the field is going.

Get more GenAI resources for FREE: https://lnkd.in/dMGZuZAj

🚨 Google just dropped a FREE guide on AI Agents

Now anyone can learn how to build AI agents from the experts.

Free to download, no sign-up required.

♻️ Repost it to help others. 
_______________
You can get more FREE resources on AI Agents here: https://lnkd.in/dMGZuZAj

AI Agents Guide

Claude Code will probably make 50,000 people millionaires. If not more.

Not because it's magic.

But because most developers won't bother learning it properly.

They'll try it once. Hit a wall. Move on.

Meanwhile, the ones who actually master it are shipping products in days that used to take months.

I've put together every resource you need to get dangerous with Claude Code:

> 4 comprehensive courses 
> 7 battle-tested GitHub repos 
> 6 YouTube tutorials from builders actually using it 
> 6 creators worth following 
> 6 newsletters to stay sharp

This isn't theory. It's the exact stack people are using to build real products right now.

The gap between "I've heard of Claude Code" and "I ship with Claude Code" is about 2 weeks of focused learning.

Most won't put in the work.
That's your edge.

EDIT: You can get your Claude Code Resources + 5 more resources on AI Agents here: https://lnkd.in/dMGZuZAj

You don’t need a PhD to learn AI Agents.

I found these 8 free AI agents courses (with links) that makes it easy.

Courses link in the comments👇

Get more free resources on AI Agents here: https://lnkd.in/dMGZuZAj

Anthropic dropped a 23-page doc of how its teams use Claude Code internally.

It basically rewrites how modern companies operate 😳

P.S Learn how to code using AI at no cost (in 5 mins a day): https://lnkd.in/dMGZuZAj

Surprisingly, it’s not about replacing engineers.
It’s about everyone else becoming one. 

Here’s what that looks like in practice:

Growth (team of one)
→ Ad copy: 2 hours → 15 minutes
→ Built a Figma plugin that generates 100 ad variants instantly
→ 10x creative output, no dedicated engineers

Data + Security
→ K8s incident debugging: 10–15 min → ~5 min
→ Terraform plans + one prompt: “Am I going to regret this?”

Product
→ Auto-accept mode + autonomous loops
→ Built Vim mode with ~70% of the code written by Claude

Data science
→ Shipped a 5,000-line TS/React dashboard with “very little JS” experience
→ Refactors: 2–4x faster

Legal
→ Built an accessibility app for a family member in 1 hour
→ Created internal “phone tree” tools without traditional dev support

The shift is simple:

Without Claude Code:
Marketing waits. Legal files tickets. Designers hand off specs.

With Claude Code:
Marketing builds. Legal prototypes. Designers implement. Data teams deploy.

Claude Code isn’t just a faster IDE.
It’s a leverage layer across the org.

The winners won’t just have better models.
They’ll have more people who can build.

How Anthropic Teams Use Claude Code

AI agents are the next leverage layer.

But most people still don’t know where to start.

Here’s a complete roadmap to go from “curious” to shipping real AI agents:

✦ Chapter 1: Understanding AI Agents (the foundation).

✦ Chapter 2: Popular AI agent frameworks you should actually know.

✦ Chapter 3: Specialized frameworks + emerging protocols.

✦ Chapter 4: Step-by-step: Build your first AI agent.

✦ Chapter 5: Hosting & deployment (get it live).

✦ Chapter 6: Security & compliance (don’t get burned).

✦ Chapter 7: Advanced topics + future directions.

✦ Chapter 8: Your Journey in AI Agent Development

No fluff. No hype.

Just a structured path from zero → deployed agent.

If you’re serious about building AI agents (not just consuming it), this is your starting point.

Get FREE access here:  https://lnkd.in/dMGZuZAj

Claude released (hands-on) interactive course on Prompt Engineering

Most people will never find it.

For more such resources (FREE): https://lnkd.in/dMGZuZAj

Here's what you're missing:

Anthropic Academy
→ Official Claude courses.
→ Straight from the source.
→ https://lnkd.in/dGuh3Y_A

Official Skills GitHub
→ 115 issues. 412 PRs.
→ Real. Active. Free.
→ https://lnkd.in/dMuCuBMH

Claude Code Subagents Catalog
→ Plug-and-play agents.
→ Ready to use today.
→ https://lnkd.in/dK25zDB8

Hard truth:
→ These exist since day one.
→ Most people never found them.
→ Now you have no excuse.

Infographic Credit: Pawel Huryn

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The Battle

Lindsay Rosenthal

Hamna Aslam Kahn

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The Battle

Lindsay Rosenthal

Hamna Aslam Kahn

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);}Lindsay Rosenthal's LinkedIn Performance

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Ready to grow your LinkedIn presence?

Performance ScoreLindsay Rosenthal's LinkedIn Performance