Growth Marketing Manager // Maker of 💪 TheBootstrappedWay.com // Bootstrapping VC-backed startups 🚀

I help B2B tech startups, scale-ups, and VC-backed companies turn paid acquisition into a scalable, high-ROI growth engine - without wasted spend or broken funnels.

Here’s how I help my clients win:
✅ Turn paid media into a scalable acquisition channel (LinkedIn Ads, Google Ads & beyond)
✅ Increase conversion rates & pipeline efficiency – get 30-50% more revenue from the same traffic
✅ Optimize messaging & positioning – making sure your ICP instantly gets your value prop
✅ Plan & execute ad spend from $10K to $25K+ per month with a clear path to ROI
✅ Help VCs ensure their portfolio companies scale efficiently - without burning capital on bad ads.

I specialize in LinkedIn Ads, Google Ads, and full-funnel paid media strategies for companies spending at least $10K/month on ads - and I don’t do agency fluff. You work directly with an expert, not a junior account manager.

Whether you’re a founder, CMO, or investor, if you need a growth expert who understands how to spend efficiently and scale profitably, let’s connect.

Fractional CMO & Growth Advisor | B2B Tech, SaaS, and VC-backed Companies

Daniel Pirciu

9x helps fast-growing companies supercharge their operations with no-code solutions. We advise you and your team on how to digitalise and automate your processes, work with the right tools and implement operational best practices. We also offer trainings to learn how to leverage technology at work: SaaS, APIs, no-code and low-code, and can take over special projects to help you build faster.

Jan Meinecke

Claude Code is the most powerful AI tool right now.

But most people think it's not for them.

They assume it's only for developers building software.

It's not.

Claude Code can read your files, create documents, connect to external services, and run workflows directly on your computer.

It's one of the most powerful automation tools available to any business professional.

The problem? Getting started feels overwhelming.

→ Multiple ways to access it
→ Confusing terminology
→ The terminal 🫣

We're running a "Claude Code for Beginners" session to fix that.

I'll walk you through everything you need to get up and running, step by step:

→ The different ways to access Claude Code (and which one to start with)
→ The difference between local and cloud modes
→ How to build your first workflow automation from scratch

No coding experience required.

📅 Thursday, Jan 15 at 5:00 PM CET

If you'd like to attend, drop a comment or DM me → I'll send you the link.

Claude Code isn't only for developers.

Here are 8 ways any professional can use it:

1. 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 to automate repetitive tasks

2. 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗮 𝗳𝘂𝗹𝗹 𝘄𝗲𝗯𝘀𝗶𝘁𝗲 in minutes based on existing content (in Notion for example)

3. 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝘁𝗼𝗼𝗹𝘀, which usually involves manually downloading CSVs and 15-30 mins of formula writing in Excel / Google sheets

4. 𝗕𝘂𝗹𝗸 𝘂𝗽𝗱𝗮𝘁𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝗶𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 → think CRM migrations, setting up new tools etc.

5. 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗯𝘂𝗹𝗸 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀 like extracting data from invoice PDFs, checking validity of clauses in legal documents etc.

6. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀 → Claude Code doesn't only write code, it can create PDFs, docx, xlsx, pptx... pretty much anything

7. 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗖𝗵𝗿𝗼𝗺𝗲 𝗲𝘅𝘁𝗲𝗻𝘀𝗶𝗼𝗻𝘀 to solve any specific use case you or your company has for work that gets done in the browser

8. 𝗖𝗼𝗻𝘃𝗲𝗿𝘁𝗶𝗻𝗴 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝗶𝗻𝘁𝗼 𝗰𝗼𝗱𝗲 - like the ones you have running in n8n, Make, Zapier etc.

I made a full video with demos on each of the 8 use cases (plus the prompts you need to set them up). 

Check the comments if you want to take a look 👀

✌️ Enjoy.

In 2025 I went all in on YouTube. 36 videos published.

But things didn't always go to plan:

Our editor Tomas just shared this little side project he was working on.

𝗠𝘆 𝟮𝟬𝟮𝟱 𝗯𝗹𝗼𝗼𝗽𝗲𝗿 𝗿𝗲𝗲𝗹 (...𝘵𝘩𝘢𝘯𝘬𝘴 𝘛𝘰𝘮𝘢𝘴)

Safe to say recording videos to a camera in an empty room isn't easy. It took months to get remotely comfortable with it. 

Some days I'd mess up the same line 10-15 times before getting one that worked.

A 17 minute video would take me a whole day to record (if not more).

One thing that helped? Tomas told me to talk to him during takes. Just say "cut that" when I mess up. Makes editing easier.

I may have taken that advice a bit too literally (You'll see in the blooper reel)

But here's what happened anyway:

- Our videos had over 2.2M views.
- 160K watch hours.
- Hit 50K subscribers on New Year's Eve.

Most importantly → Over 6-figures in revenue directly from YouTube.

If you're thinking about starting a YouTube channel for your business → Do it.

It's messy. It's uncomfortable. But it works.

Thanks for watching. ❤️

---

PS. If you haven't yet make sure to subscribe to our 9x YouTube channel. Just look for "@go9x".

We suck at sales follow-ups. 

But our AI agent doesn't.

Every day it reviews our open deals and tells us exactly where we're dropping the ball.

Real example from the other week:

"Follow-up task deadline passed. A week later, still no follow-up sent despite promising materials."

Its recommendation → "Send promised materials TODAY. Propose concrete next steps."

No one opened ChatGPT to ask "what should we do?"

The AI proactively reached out when we needed to act.

It's like having a head of sales kicking us in the butt.

--- 

🤖 AGENT SETUP

Platform: Make AI Agent

Data Sources:
→ Attio CRM: all meetings, transcripts, notes, tasks
→ Gmail: all emails related to the deal

Process:
1. Agent retrieves full context for each open deal
2. Analyzes pipeline status against timelines and commitments
3. Alerts via Slack only when action required
4. Accepts replies to update CRM records directly

Result: Proactive pipeline management without manual review overhead.

--- 

Let me know if you're interested in the blueprint & prompts and we can spin up a tutorial ✌️

Most people know Zapier as an automation platform.

But they also run an AI transformation program.

They partner hands-on with select enterprise companies to drive AI adoption at scale.

Philip Lakin leads it.

Tomorrow, he's walking us through the actual playbook:

→ Why AI transformation isn't about tool rollouts
→ The bootcamp format from intern to CEO
→ How to spot broken processes early
→ How "Builder Champions" emerge naturally
→ The metrics that actually matter

Real examples from enterprise implementations.

If AI transformation is a topic on your desk at the moment, then you don't want to miss it.

It's a free 60 minute session with Q&A included.

Let me know if you'd like to attend and I'll send you the details.

The best AI users don't write better prompts.

They write better documentation.

It's called 𝗰𝗼𝗱𝗶𝗳𝘆𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲.

Instead of typing requests from scratch every time, you document how you do things once → then AI follows it every time.

What to codify:
→ Your processes (how you write emails, run campaigns, handle support)
→ Your standards (what "good" looks like with real examples)
→ Your voice (tone, words you use, words you avoid)

Where to put it:
→ Notion Agents
→ Custom GPTs or Gems
→ Claude Projects and Skills

Pick one process you repeat weekly.

Document the steps. Add 2-3 examples of good output. Give it to AI.

Now you're not prompting from scratch.

You're giving AI a playbook to execute.

This is why it matters:

Generic AI gives generic results that could come from anyone.

Codified AI gives results that could only come from you and your company.

Your processes. Your voice. Your IP.

That's a competitive moat.

--- 

P.S. What's one process you repeat every week that you could codify?

2025 was all about Prompt Engineering...

2026 will be the year of the Context Engineer.

What's the difference?

Prompt engineering is about crafting the perfect instruction.

Context engineering is about controlling what the AI knows when it responds.

Think of it like this:

The AI model is the brain.
The context window is its working memory.

Your job isn't to write clever prompts anymore.

Your job is to decide what goes into that working memory.

→ Which documents does it see?
→ Which examples does it learn from?
→ Which data does it have access to?

This matters more now because the models are smart enough.

You don't need tricks. You don't need role-playing. You don't need "act as a senior marketing expert."

You need the right information loaded at the right time.

I'm seeing this everywhere now.

Claude Code with project context. Claude Skills with custom instructions. Notion AI with access to your workspace. AI agents connected to your actual tools.

The results are drastically better. And my prompts? They're getting shorter.

Most of the time I just talk using Wispr Flow and say what I need in one sentence or two.

The AI does the rest because it already has the context.

The best AI users aren't prompt wizards anymore...

They're knowledge architects.

Most companies give everyone ChatGPT access. 

And think they're "𝘼𝙄-𝙛𝙞𝙧𝙨𝙩." They're not.

The gap between "𝙪𝙨𝙞𝙣𝙜 𝘼𝙄" and "𝘼𝙄 𝙖𝙘𝙩𝙪𝙖𝙡𝙡𝙮 𝙩𝙧𝙖𝙣𝙨𝙛𝙤𝙧𝙢𝙞𝙣𝙜 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨" is massive.

This video walks through our 5-step playbook for AI transformation.

It comes from training 5,000+ business professionals over 3 years.

With real examples from our own business → including an AI agent that basically manages our sales pipeline.

If your team is past the experimenting phase and ready to get serious, I break down each step in the video. 

Take a look and let me know what you think 👀

--- 

P.S. How many steps do you think your company has actually nailed?

Open video: How to Get Ahead of 99% of Businesses (with AI) on youtube.com

How to Get Ahead of 99% of Businesses (with AI)

A new way of building agents is emerging.

I'm seeing this across tools now: 

Claude Code, Gumloop, Clawdbot etc.

The pattern:
1. Talk the AI through the process once
2. Iterate until you're happy with the outcome
3. Tell it to save as a repeatable skill or agent

No more writing specs upfront.
No more guessing what instructions to give.
No more figuring out what tools it needs to use.

You're simply having a conversation. Showing the AI what good looks like by doing it together, figuring things out along the way.

Instead of: 
"𝘊𝘳𝘦𝘢𝘵𝘦 𝘢𝘯 𝘢𝘶𝘵𝘰𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘗𝘺𝘵𝘩𝘰𝘯 𝘵𝘩𝘢𝘵 𝘱𝘳𝘰𝘤𝘦𝘴𝘴𝘦𝘴 𝘊𝘚𝘝 𝘰𝘧 𝘪𝘯𝘷𝘰𝘪𝘤𝘦 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘶𝘴𝘪𝘯𝘨 𝘗𝘋𝘍𝘒𝘪𝘵 𝘭𝘪𝘣𝘳𝘢𝘳𝘺 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦 𝘢 𝘗𝘋𝘍 𝘪𝘯𝘷𝘰𝘪𝘤𝘦 𝘧𝘰𝘳 𝘦𝘢𝘤𝘩 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳 𝘢𝘯𝘥 𝘴𝘢𝘷𝘦 𝘵𝘩𝘦𝘮 𝘪𝘯 𝘢𝘯 𝘪𝘯𝘷𝘰𝘪𝘤𝘦𝘴 𝘧𝘰𝘭𝘥𝘦𝘳 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦 𝘯𝘢𝘮𝘪𝘯𝘨 𝘤𝘰𝘯𝘷𝘦𝘯𝘵𝘪𝘰𝘯 𝘠𝘠𝘠𝘠-𝘔𝘔-𝘋𝘋-𝘊𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘕𝘢𝘮𝘦.𝘱𝘥𝘧"

Just say:
"𝘏𝘦𝘳𝘦 𝘪𝘴 𝘢 𝘊𝘚𝘝 𝘰𝘧 𝘪𝘯𝘷𝘰𝘪𝘤𝘦𝘴 𝘐 𝘯𝘦𝘦𝘥 𝘵𝘰 𝘴𝘦𝘯𝘥. 𝘊𝘢𝘯 𝘺𝘰𝘶 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦 𝘢𝘯 𝘪𝘯𝘷𝘰𝘪𝘤𝘦 𝘗𝘋𝘍 𝘧𝘰𝘳 𝘦𝘢𝘤𝘩 𝘳𝘰𝘸?"

Then chat through the process, providing feedback, until you're happy with the outcome (formatting, file naming etc.)

Then you say: "𝘙𝘦𝘮𝘦𝘮𝘣𝘦𝘳 𝘩𝘰𝘸 𝘸𝘦 𝘥𝘪𝘥 𝘵𝘩𝘢𝘵. 𝘋𝘰 𝘪𝘵 𝘭𝘪𝘬𝘦 𝘵𝘩𝘪𝘴 𝘦𝘷𝘦𝘳𝘺 𝘵𝘪𝘮𝘦. 𝘞𝘳𝘪𝘵𝘦 𝘺𝘰𝘶𝘳 𝘰𝘸𝘯 𝘪𝘯𝘴𝘵𝘳𝘶𝘤𝘵𝘪𝘰𝘯𝘴."

The AI writes the prompt. You just approve it.

Building is becoming a conversation, not a blueprint.

The tools that get this are pulling ahead, and opening up agents & automation to more and more people.

Most AI agents are impressive demos, not real tools.

We're fixing that this Thursday.

Join me and Aron Korenblit (Gumloop) for a 90-minute hands-on session where we build 2 production-ready agents together.

What you'll build:

1. Q&A / Reporting Agent 
  → Sits on your data (Airtable, BigQuery, Salesforce) 
  → Answers questions in natural language 
  → Schedules weekly reports automatically

2. CRM Updater Agent 
  → Monitors Slack for deal updates
  → Syncs them to your CRM
  → No more "I forgot to update it"

You'll build alongside us in real time.

Gumloop is providing free credits and sample data to all attendees. No prior AI agent experience required.

The goal: Agents you can deploy at work and trust to run without constant supervision.

📆 Thursday, January 29 5pm CET / 11am EST

Let me know if you're interested and I'll share the details ✌️

Claude Cowork rolling out to team plans.

Starting this Friday, January 23. 

Only available to Mac users using the Claude Desktop app.

If you're a Team plan admin and DON'T want to enable it, you'll need to actively disable it by Thursday.

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