Let AI do the heavy lifting for your Revenue.

Your sales team is drowning in manual tasks: prospecting, lead research, CRM hygiene. 
They’re busy, but not productive. And your pipeline shows it.

Every hour wasted on boring and tedious tasks is a deal not closed.
You’re paying top talent to do what AI could handle in seconds. 

Meanwhile, your competitors are already automating and scaling with precision. 
Fall behind, and it’s game over.

TC9 builds AI-powered GTM engines that do the heavy lifting, so your team can focus on closing, not clicking. 

We blend strategy, automation, and intent signals to unlock growth at scale.
No fluff. Just efficiency at every level.

Ready to join the modern sales, without burning out your team?

Jérémy Grandillon

Everyone's learning AI tools.
Few are picking the right ones.

I burned hours on the wrong apps so you won't have to.

7 that actually moved the needle 👇

7 AI Tools That Will Save You Hours

Your LinkedIn inbox is a graveyard of bad pitches.
Your email inbox is even worse.

The reason is painfully simple:

Most salespeople skip the ONE step that makes or breaks their outreach.

Targeting.

That's how I end up getting pitched on "growing my healthcare center."

I don't have a healthcare center.
(And neither do 99% of the people they're emailing.)

This isn't just lazy. It's burning money and reputation with every send.

Don't be that rep.

Here are 11 ChatGPT prompts to nail your targeting before you hit send:

11 ChatGPT Prompts to Target the Right Prospects

Most sales teams are running on a treadmill, not building pipeline.

Campaigns are the problem. And it's by design.
You launch, spike, then start over.

In 2026, GTM systems change everything.

Campaigns are time-boxed and resource-heavy.
They spike activity, then vanish completely.

GTM systems do not launch, they live.

Always-on outreach triggered by real signals.
Integrated with your CRM and content engine.

Systems use behavior-driven automated triggers.
Systems self-optimize instead of rebuilding.

Systems reduce rep time significantly.
They work while you sleep, built for ops.

→ Stop saying "Let us launch something this quarter".
→ Start saying "Let us plug this into our GTM engine".

Layer intent signals into your existing flows.

Build the system once.

Let it scale forever!

Ditch Campaigns, Embrace Systems

2025 was about structure and foundations.
2026 is about scale and mass adoption.

TC9 is hiring!

We're looking for our next GTM Engineer, and more.

We're building a GTM consulting firm that serves top companies around the world to embrace the Unified GTM Engine as their new norm for growth.

I truly believe we're building the future of B2B revenue.

People who looked at me like I was crazy with my "AI stuff" 2 years ago are now asking me how to do it for themselves.

2026 is about mass adoption. 

And TC9 is in a unique position to support it!

We're looking for someone who can handle GTM engineering, while building the future with us.

It might be you! 

Apply here: https://lnkd.in/eMW6Y__Z

4 metrics killing your sales pipeline.
Time to stop worshipping numbers that lie.

These KPIs look impressive in reports. But they're silently strangling real revenue.

Here's what to watch out for:

→ "Call Volume" in Isolation
More dials ≠ more deals. 
You're tracking effort, not effectiveness.

Reps spam prospects just to hit a number. 
Track instead: Calls that convert to meetings or next steps.

→ "Pipeline Size" Without Substance
A fat pipeline isn't a healthy one. 
Inflated forecasts only delay disappointment.

Reps pad the numbers with dead-end opps. 
Track instead: 3x coverage from qualified, late-stage deals only.

→ "Email Open Rate" as Proof of Interest
Opens stopped meaning anything years ago. 
Bots click. Privacy tools distort. Data deceives.

Reps chase phantom engagement. 
Track instead: Actual replies. Real hand-raisers.

→ "Last Touched Date" as a Pulse Check 
Sending a follow-up doesn't prove life. 
Activity isn't the same as momentum.

Reps keep zombie deals on life support. 
Track instead: Responses, booked calls, buying signals.

Pretty dashboards don't sign contracts. Smart KPIs do. 
Stop rewarding motion. Start rewarding traction.

Ditch the noise. Dial into signal. 
Your pipeline's survival depends on it.

Follow Jérémy Grandillon. Reshare to help others!

Systems scale. Humans don't. 
But without humans, systems have nothing to scale.

Most GTM strategies are broken.
Reps improvise. Automation spams.

The fix → Know when to use each.

1️⃣ - ICP Targeting & Lead Research 
Humans sharpen positioning and define the market. 
Systems source, filter, and scale your reach.

2️⃣ - Message Strategy & Personalization 
Humans build the story and emotional hooks. 
Systems adapt and distribute them everywhere.

3️⃣ - Outreach Execution 
Humans shape voice and escalation frameworks. 
Systems run multi-channel sequences nonstop.

4️⃣ - CRM Integration & Signal Sync 
Humans architect lifecycle stages and handoffs. 
Systems track replies, update stages, auto-score leads.

5️⃣ - Pipeline Monitoring & Optimization 
Humans analyze, iterate, and develop teams. 
Systems flag friction points and fire workflows.

GTM doesn't work with humans alone. 
It doesn't work with systems alone either.

It works when you split the right tasks at each stage. 

Humans own the signal. 
Systems own the scale.

That's the Human GTM Engine.

♻️ Reshare if this helps someone rethink their stack. 
👉 Follow Jérémy Grandillon for more!

Founder | CEO @ GrowMeOrganic 🚀

When I was 19, I accidentally built my first SaaS while learning how to code. It was a simple email scraper that pulled leads from Instagram.

It wasn’t perfect. It broke often. But it worked well enough to catch the attention of some top cold email communities.

I didn’t know much about marketing or product scaling. So I started talking to users, wrote every single email, and patched things together late at night.

Over time, I built GrowMeOrganic. Then came SendMails. Then WhatChimp.

Now, I’m building GrowthToolkit. A prospecting platform focused on speed, accuracy, and verified contact data that actually works when it matters.

Built for people who want results without getting slowed down.

Backed by a team that believes in moving fast, staying curious, and solving problems that others avoid.

💌 Anant Gupta

AGI for Vibe Coding 

Not really, but I am getting closer to it…

I was frustrated with AI turning passive after five or ten minutes and asking me to “run this” or “check that.”

So I stopped treating AI like a code generator and started treating it like an engineer with tools.

I built an internal system where AI has full operational control over the project.

First, I created a remote browser control, similar to Puppeteer or Selenium, but without requiring any installation.

The AI can take over a real user session in my app, interact with the UI, trigger flows, capture screenshots, and send those screenshots back to my local project. 

Claude can read them and understand exactly what’s happening in the browser.

On top of that, I built a lightweight Sentry-like system, so the AI can inspect logs whenever something breaks instead of guessing.

If needed, it can also run JavaScript directly inside the browser, inspect network requests, analyze APIs, and even check the database.

If nothing is clear from logs or APIs, it can always fall back to screenshots or direct file inspection.

So the AI has visibility across:
	•	Browser state
	•	Frontend behavior
	•	Backend logs
	•	APIs
	•	Database
	•	Project files

This allows it to code and test end-to-end autonomously, without stopping every few minutes.

The final missing piece was memory.

So I added structured documentation using MD files, plus my own short-term and long-term memory layer. 

This extends the effective context window and lets the AI retain what it learned across modules and dependencies.

Because of this, when the AI switches context; say from one module to another, it already understands the historical decisions, dependencies, and intent.

The result is an AI system that behaves less like a chat model and more like a senior engineer:
observe → inspect → reason → test → fix → remember → continue.

Why this is different from “autonomous agents”

Most “AI agents”:

	•	Still rely on humans to execute
	•	Simulate environments
	•	Die when context is lost

My system:

	•	Operates on real infrastructure
	•	Has feedback loops
	•	Has memory
	•	Has tools + authority

That’s the difference between automation and agency.

CEO @ GrowthToolkit.io | 🏆#1 Platform to Find Accurate Email & Phone Numbers of Decision Makers from any Company | Sign Up for FREE!

graphical user interface, text, application, email

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💌 Anant Gupta

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The Battle

Jérémy Grandillon

💌 Anant Gupta

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);}Jérémy Grandillon's LinkedIn Performance

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