Helping SMEs boost profits 10x faster with my AI & Automation-as-a-Service agency—turn your business processes into saved time, empowered teams, & increased profits, all without the extra overhead. Link in Bio ↓

There are two ways to be a business leader in 2025:

1. Struggle with inefficient processes. Stagnate.
2. Leverage AI Agents (aiGENTS). Scale 10x faster. 

Most are stuck in the first.

As a leader, you have ambitious goals. But they're out of reach, aren't they? 

The bigger problem?

You're missing out on game-changing opportunities. 

Opportunities to streamline operations, outpace competitors, and attract top talent to fuel your growth.

Yet, when it comes to:

↗ Automating repetitive tasks
↗ Breaking down departmental silos
↗ Achieving rapid, sustainable growth
↗ Reducing reliance on costly vendors

You find:

↗ Your workflows are still painfully manual
↗ Your teams are disconnected and inefficient
↗ Your operational costs are spiraling out of control

The solution? 

Transform your business with AI Agents and workflow optimization.

That's our expertise. 

Our services encompass:

↗ Crafting tailored AI strategies aligned with your business goals
↗ Implementing AI Agents for immediate impact
↗ Streamlining cross-departmental collaboration
↗ Providing ongoing optimization and support

Are you serious about revolutionizing how your business operates? 

Are you ready to scale 10x faster with AI Agents? 

Reach out now to start your journey towards operational excellence and exponential growth. 

→ GO HERE: www.hiteshmahajan.com 

Email: hello@aidapt.co
X: @hitesh_ai​

Hitesh Mahajan

Most companies don’t have a project management problem.

They have a discipline problem.

If it’s not in ClickUp it didn’t happen.​​​​​​​​​​​​​​​​

Hitesh Mahajan 🚀

CEO @ Aidapt | I design your AI strategy and orchestrate the data foundations, platforms and intelligent systems you need, then build and run them for you in a single AI-first operating model with clear, measurable value

Everyone that says they use ClickUp

They don’t.

They have ClickUp.

There’s a difference.

Here’s what I see in 8-figure companies:

Tasks without owners.

Due dates that mean nothing.

Projects scattered across 14 spaces no one understands.
This is “tool deployment.”

It’s not operational discipline.

The companies actually winning with ClickUp do 5 things differently:

1. Single source of truth
EveryPOST: “The ClickUp Lie”

2. Due dates = do dates
Not suggestions. Not aspirations.
A due date is a commitment someone’s name is attached to.

3. Embedded processes
The system enforces how work runs.
Not a human chasing people in Slack.

4.	Shared habits
Weekly reviews. Sprint rhythms. Status updates.
These aren’t optional extras.

5. Consistent accountability
One owner per task.
One home per workflow.
No exceptions.

The gap between “having ClickUp” and “running ClickUp” is the gap between activity and outcomes.

Most companies are stuck in activity.

The fix isn’t more features.

It’s operational discipline.

How are you using ClickUp

We just became a Snowflake AI Data Cloud Services Partner.

Here’s why that matters for your business:

Most AI projects fail.

Not because the models are bad.

Because the data foundation doesn’t exist.
I’ve seen it dozens of times:

→ $500K spent on AI tools
→ 6 months of “pilot programs”
→ Zero production workflows
→ Leadership asking “where’s the ROI?”

The answer is always the same.

You skipped the data layer.

No clean pipelines. No governed access. No single source of truth.

Just scattered systems and dashboards nobody trusts.

That’s the problem Snowflake solves.

And that’s the problem we implement.

What we actually do:

Data Strategy and Advisory
We audit your current state. Map your data sources. Design the architecture that makes AI possible. Not a 200-page deck. A buildable plan with owners and timelines.

Data and Analytics
Snowflake as your AI Data Cloud.Sigma for real-time analytics your teams will actually use. Pipelines that feed decisions, not just dashboards.

Generative AI and ML
Production-ready AI. Not demos. We build the models, deploy them into workflows, and measure adoption. If it’s not being used daily, we haven’t finished.

Migration and Modernization
Legacy systems holding you hostage? We migrate you to Snowflake without breaking operations. Typical timeline: 90 days to production.

The results we’ve delivered:

→ 8-figure manufacturing company: Legacy data warehouse to Snowflake + Sigma in 12 weeks. Finance team now runs reports in minutes, not days.

→ Regional bank: Consolidated 7 data sources into one governed platform. Compliance reporting went from 2 weeks to 2 hours.

→ FMCG distributor: Built ML demand forecasting on Snowflake. Reduced stockouts by 34% in first quarter.

This isn’t theory.

This is what we do every week.

Here’s the thing most consultancies won’t tell you:
The tool doesn’t matter if nobody owns the outcome.

We don’t just install Snowflake and disappear.
We build the foundation → Train your teams → Run it until adoption is proven → Then hand over the keys.

Every engagement ships with:
	∙	Telemetry (proof it’s being used)
	∙	Runbook (how it operates)
	∙	Story Point (evidence of value)
	∙	Clear next step based on data

That’s our standard. Not the premium package.
If you’re sitting on:

❌ AI ambition but no data strategy
❌ Tools purchased but not adopted
❌ Dashboards built but not trusted
❌ Pilots completed but not scaled

You don’t need another vendor.

You need a partner who builds and runs until it works.

30-minute call. No pitch deck.

We’ll map your current data state, identify the highest-ROI first move, and tell you exactly what it takes to get there.

If we’re not the right fit, I’ll tell you who is.

Book here: https://lnkd.in/eXbEd5Py

Turn AI On.

There is no AI strategy without a Data Strategy.

Full stop.

I just left an intimate Snowflake x Amazon Web Services (AWS) partner event in Dubai.

The room was small. The signal was loud.

From Nissan Motor Corporation driver-assist systems to call centres, to learning that maids.cc - AI & Tech is the second largest employer in UAE, all
running entirely on Snowflake and AWS, every use case reinforced the same thing:

AI doesn’t work on broken data foundations.

Here’s what most companies get wrong:

They chase the shiny AI tool.

They skip the unglamorous data work.

They wonder why nothing sticks.

The winners?

They build the data layer first.

Then they let AI do what it’s actually good at.

Snowflake might be the most versatile data platform I’ve come across. The flexibility to unify, govern, and activate data across an entire organisation is unmatched.

And it’s making me think:

What if every mid-market business had access to a team of “dark data engineers,” specialists who turn fragmented, siloed data into an AI-ready foundation?

That’s exactly what we’re building at Aidapt.

Data-first. AI-native. Proof-backed.

If you’re sitting on data that should be working harder for you, let’s talk: https://lnkd.in/eXbEd5Py​​​​​​​​​​​​​​​​

The most successful AI-first leader you know has the most failed pilots.

They’ve tested more workflows.
Built more automations that crashed.
Launched more systems nobody used.

You see their ROI dashboard.
You miss their failure count.

While you’re perfecting one pilot,
they shipped twenty.

Eighteen flopped.
Two saved 200+ hours monthly.

Guess which ones made the case study?

Here’s the math nobody talks about:

90% pilot failure rate sounds brutal.
Until you realize 10% breakthrough.

Run 3 pilots = 1 winner.
Run 10 pilots = 1 game-changer.
Run 30 pilots = 3 transformations.

Most MEA leaders run 1 test.
See mixed results.
Retreat.

Then call AI adopters “lucky.”

The CEO with seamless ops?
Pilot #8.

The COO with perfect dashboards?
Test #12.

The founder scaling effortlessly?
Iteration #15.

They throw pilots at processes.
Learn fast.

It looks like AI magic.
It’s really just smart testing.

You’re not behind on AI.
You’re under-experimenting.

Stop planning perfect systems.
Start shipping small pilots.

Let the data teach you what scales.

Comment “Framework” for the rapid-pilot method that turns 90% failure into competitive advantage.

Smart ops spread faster when you pass them on.

Charging by the hour for transformation is like paying surgeons based on how long the operation takes.

We charge for outcomes, proof, and adoption instead, because speed, clarity, and results should be rewarded, not inefficiency.

Everyone’s chasing AI agents.

They’re missing the point.

The next frontier isn’t better models.

It’s better data.

Here’s why I’m betting on Snowflake Intelligence:

Most AI fails because the data underneath it is garbage.

Fragmented across 47 systems.

No governance.

No lineage.

No one knows what’s true.

You can’t build AI-native operations on a broken foundation.

Snowflake Intelligence changes this.

It’s not just a data warehouse anymore.

It’s an AI-ready data layer that lets you:

∙Ask questions in plain English across your entire data estate
∙Get answers grounded in YOUR data, not hallucinations
∙Build agents that actually know your business

The companies winning with AI in 2026 won’t be the ones with the fanciest prompts.

They’ll be the ones with the cleanest data foundations.

Data strategy before AI strategy.

Every time.

The model is the commodity.

Your data is the moat.

If you want to build that golden data layer and become truly data-driven with AI at its core, let’s talk.
We’re helping mid-to-enterprise clients turn their data foundations into an AI-ready operating advantage.
Link in comments 👇​​​​​​​​​​​​​​​​

The smartest thing I heard all week came from a CIO in Dubai.

“We don’t have an AI problem. We have a ClickUp  problem.”

I didn’t get it at first.

Then he showed me.

His company spent $200K on AI tools last year.

ChatGPT Enterprise for 200 people.
Snowflake for data infrastructure.
Three different AI automation platforms.
A “custom AI solution” from a Big 4 firm.

I asked: “What changed?”

He pulled up their project management tool.

2,847 open tasks.
940 marked “In Progress” for over 90 days.
127 tasks assigned to people who don’t work there anymore.

Zero tasks had:

- Clear owners
- Due dates that meant anything
- Acceptance criteria
- Links to actual deliverables

“We gave them AI,” he said. “But we can’t even run a basic workflow.”

Then he said the thing that’s been stuck in my head for 72 hours:

“You can’t automate chaos.”

This is the dirty secret nobody talks about.

AI doesn’t fix broken operations.

It amplifies them.

If your team can’t:

- Define what “done” means
- Assign clear ownership
- Track work without seventeen Slack threads
- Close a task without three follow-up meetings

Then AI will just create chaos faster.

I’ve seen this pattern 61 times now:

Company buys AI tools → Usage drops after week 2 → Team blames the technology → Repeat with different vendor.

The problem was never the AI.

It was the operating system underneath.

Here’s what I mean:

No single source of truth = AI can’t find the right information

No clear due dates = AI can’t prioritize

No embedded processes = AI can’t follow non-existent workflows

No shared habits = AI adoption dies in 14 days

No accountability = AI becomes another abandoned tool

You know what actually works?

Fix the operating system first.

One company did this:

- Moved everything into ClickUp
- Forced single ownership per task
- Made due dates real
- Built actual workflows
- Created visibility

Then they added AI.

Response time dropped 67% in 30 days.

Not because the AI was better.

Because the operation was ready.

Most companies are doing it backwards.

They’re buying Ferrari engines and bolting them onto broken bicycles.

Then wondering why they’re not going faster.

If your “AI transformation” isn’t working, ask this:

Can your team close a simple task without confusion?

If no, stop buying AI tools.

You don’t need artificial intelligence.

You need actual intelligence about how work flows.

The boring stuff.

The stuff nobody wants to fix because it’s not sexy.

ClickUp. Workflows. Ownership. Cadence.

That’s the real transformation.

AI is just the accelerator.

But you can’t accelerate a car that won’t start.

Technology without people is shelf-ware.

People without technology is slow.

The winners work on both in parallel.​​​​​​​​​​​​​​​​

“I ship a minimum of 2 Story Books every month.”

Not because it’s a nice-to-have.
Because without evidence, AI transformation is just expensive fiction.

Most AI projects die the same way:

* Slides look great
* Demos impress leadership
* Everyone *feels* progress
* Six months later, no one can explain what actually changed

No proof.
No adoption clarity.
No value trail.

Just vibes.

A Story Book fixes that.

A real Story Book answers four uncomfortable questions:

* What workflow actually changed?
* Who is using the system, and how often?
* What does the data say improved?
* What should we do next based on evidence, not opinion?

If you can’t answer those, you didn’t transform anything.
You shipped activity.

Here’s the hard truth:

AI without documentation creates organizational amnesia.

People leave.
Context disappears.
Wins don’t compound.
Failures repeat.

Story Books prevent that.

They turn delivery into an audit trail.
They turn usage into evidence.
They turn work into institutional memory.

And most importantly:

They force intellectual honesty.

You can’t hide behind ambition when the data says adoption stalled.
You can’t claim value when no one’s using the system.
You can’t fake momentum when the evidence is flat.

That’s why most companies avoid them.

Story Books are accountability in written form.

They expose what worked.
They expose what didn’t.
They expose what needs to change next.

I don’t ship Story Books for marketing.

I ship them because:

If the value isn’t documented,
it doesn’t exist.

And if it can’t be explained clearly to a business leader in one sitting,
it wasn’t real transformation.

AI transformation without Story Books isn’t bold.

It’s irresponsible.

We have one rule at Aidapt that clients hate at first.

Then they love it.

We call it the Receipts Rule.

It's simple:

Every engagement must produce four things before we call it "done."

1. Telemetry
2. A Story Point
3. A runbook
4. A next-step recommendation

If we can't deliver these, we don't claim transformation.

Let me break down why this matters.

Most consulting engagements end with a handshake and a slide deck.

"Great working with you. Here's the documentation. Call us if you need anything."

Then 6 months later, nobody knows what was built, who owns it, or whether it's even being used.

That's not delivery. That's abandonment.

The Receipts Rule kills this pattern.

Here's what each piece does:

Telemetry

We instrument measurement so you can see who's using what, how often, and where it breaks.

No more "I think it's working." You know it's working because the data says so.

If adoption drops, you see it immediately. If something fails, you catch it before clients do.

Story Point

This is the audit trail of value creation.

Not a status report. Not a deck full of logos and timelines.

A clear narrative: what changed, who adopted it, what the telemetry shows, what improved, what to do next.

Every claim backed by evidence.

This is what drives renewals, expansions, and internal buy-in. Not opinions. Receipts.

Runbook

A system without a runbook is a system waiting to fail.

Who owns it? What does "normal" look like? What do you do when it breaks? Who escalates to whom?

If the person who built it leaves and nobody knows how to run it, you don't have a system. You have a liability.

Next-step recommendation

Every engagement ends with a clear answer to "what should we do next?"

Not based on what we want to sell. Based on what the evidence says.

Telemetry shows adoption is strong? Scale it.
Adoption is weak? Fix the workflow before adding features.
New bottleneck emerged? Scope the next block.

This is how AI transformation compounds instead of stalling.

Here's why clients hate it at first:

It's more work. For them and for us.

They have to assign owners. They have to accept measurement. They have to engage with the evidence, not just the demo.

And we have to deliver systems that actually work, not just systems that look good in a presentation.

Here's why they love it later:

Because when renewal conversations happen, there's no debate.

The Story Book shows what changed. The telemetry shows who's using it. The runbook shows it's operationally sound.

Value isn't a claim. It's a fact.

That's what separates transformation from theatre.

If your current partners can't show you receipts, ask yourself what you're actually paying for.

We analyzed 23 failed AI implementations across the Middle East and APAC.

Every single one made the same mistake.

They skipped the data strategy.

Not “we need a data lake.”
Not “let’s hire a Chief Data Officer.”

I mean they couldn’t answer these 5 questions:

1. What data matters for this workflow?

One company built an AI agent for customer inquiries.

Never mapped which systems held customer history.
Never confirmed sales could access support tickets.
Never checked if product codes matched across databases.

The agent launched.
It hallucinated answers for 6 weeks.
They shut it down.

2. Where does that data live right now?

Another client wanted AI-powered forecasting.

Turns out their data lived in:

- 3 different ERPs across regions
- 47 Excel files someone’s nephew maintained
- A Salesforce instance no one could access
- Somebody’s desktop (seriously)

We spent 90 days just mapping reality.

3. Who owns this data?

This is where it gets ugly.

“Who approves changes to customer records?”
“Uh… marketing? Or is it sales? Maybe IT?”

If nobody owns the data, nobody will fix it when AI breaks.

4. What does “good” look like?

We asked a client: “What’s an acceptable error rate?”

They said: “Zero.”

We said: “Then you’re not ready for AI.”

You need to know:

- Completeness thresholds
- Freshness requirements
- Quality tolerances
- Update cadences

Before you build anything.

5. How will we measure this?

The workflow needs telemetry.

Not “let’s check in monthly.”

Real instrumentation:

- Usage events
- Error states
- Response times
- Drop-off points

Most companies answer zero of these questions before they start building.

Then they blame the AI when it doesn’t work.

Here’s the framework we use at Aidapt:

Week 1: Map the workflow end-to-end
Week 2: Identify data dependencies  
Week 3: Confirm ownership and access
Week 4: Define “good enough” standards
Week 5: Design telemetry before build

Total time: 5 weeks.

Total cost: A fraction of what you’ll waste rebuilding after launch.

We had one client push back:

“That’s too slow. Our competitor is already using AI.”

We said: “Your competitor is also rebuilding their system for the third time because they skipped this.”

Three months later, their competitor called us.

If you’re planning an AI implementation right now, do this:

Open a doc.
Write those 5 questions at the top.
Answer them honestly.

If you can’t answer all 5, you’re not ready to build.

You’re ready to do the boring work that makes AI actually succeed.

Nobody wants to do the minimum viable data strategy.**

Everybody wants to skip to the demo.

That’s why 90% of AI projects sit in pilot purgatory.

You can’t automate chaos.
Fix your workflows before you buy AI tools.
Otherwise you’re just creating expensive confusion faster.

#wevearrived #aidapt #snowflake #ai #thenextaifrontier

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Everyone’s chasing better AI models.

They’re solving the wrong problem.

The companies winning with AI have one thing in common:

- Their Clean data foundations.
- Data strategy before AI strategy. 

Every time.

Want to pay for an AI consultant? Don’t.

Here’s your 2026 AI + Ops Masterclass:

(Save this + share with your team ♻️)

1․ Map your 3 biggest manual bottlenecks e.g. approvals, reporting, customer comms.

2․ Add 1 process that eats ~20+ hours weekly e.g. data entry, follow-ups, status updates.

3․ Your automation should always connect to ROI. Track hours saved, not tools deployed.

4․ Focus on ONE department first. Master it. Then expand. Don’t boil the ocean.

5․ Your team’s adoption rate matters more than the tech’s sophistication. Start simple.

6․ Your dashboards should answer the question: “What’s our ROI this month?”

7․ Your training should be bite-sized, not workshop marathons. 15-min modules win.

8․ I recommend 3-week sprints maximum. Longer = scope creep. Shorter = real wins.

9․ I recommend measuring hours saved weekly. This builds momentum and proves value.

10․ Tool types? Your choice entirely. Don’t use AI just because someone said “AI is everything”.

11․ Keep each process to 1 outcome only. Multiple goals = confused teams and failed adoption.

12․ Make every automation teachable. Teams should “get it” in 5 minutes or less.

13․ If you’re rolling out new systems, show quick wins upfront. Don’t “just implement”.

14․ Hot take but… You don’t need perfect tech to get perfect results from your operations.

15․ Before you buy any software, ask yourself: “Will my team actually use this daily?”

16․ Internal buy-in beats external consultants. Train champions, don’t hire more vendors.

17․ Look for adoption signals before scaling. Usage rates. Feedback. Fewer complaints.

18․ Mindset hack? Always approach automation with one goal: Free time for strategy.

19․ Change management? How much? Everything. It’s MORE important than the tech itself.

20․ Best adoption hack? Show ROI to users, not just leadership. “You saved 2 hours today.”

21․ Vendor promises? Don’t believe them. Pilot first. Prove value. Then commit.

22․ Shiny object syndrome? Don’t even think about it. Focus beats features every time.

23․ Have patience. Stop obsessing over perfection and focus on progress.

Aaaand… You’re ready!

(For now)

Just know: There’s so much more to AI adoption, change management, and scaling operations than ONE post can cover.

This entire framework is just 1% of what we deploy for MEA leaders. The rest: 21-day ROI pilots that actually work.

Comment “Pilot” if you want to see how we could do this for you.

Which one of these made you rethink your AI strategy? What needs fixing first? 👀

Leaders grow quicker when insights are shared.

Everyone thinks AI transformation is about the technology.

It’s not.

I’ve watched 47 companies try to “go AI-first” in the last 18 months.

3 actually succeeded.

The difference?

The 44 failures bought tools.
Ran pilots.
Created dashboards.
Hired consultants who wrote strategy decks.

Then wondered why nothing changed.

The 3 winners did something different.

They stopped treating AI like a project.
Started treating it like an operating system.

Here’s what that actually means:

They didn’t deploy ChatGPT to the team.
They rebuilt one workflow end-to-end with AI embedded inside it.

They didn’t measure “AI adoption.”
They measured whether the workflow actually ran differently on Tuesday.

They didn’t create an AI strategy.
They assigned an owner who wakes up accountable for that workflow every morning.

They didn’t celebrate the launch.
They instrumented telemetry so they could see usage, health, and value in real-time.

The company that got this right first?

Cut their customer service response time from 4 hours to 11 minutes.

Not with better tools.

With one workflow.
One owner.
One telemetry dashboard.
One Story Point proving it worked.

Then they scaled that pattern to 6 more workflows.

Here’s my 2026 prediction:

The companies that win won’t have the best AI strategy.

They’ll have the best operating discipline.

Because AI doesn’t fail because the models are bad.

AI fails because workflows are unclear, ownership doesn’t exist, and nobody measures what actually changed.

If you can’t answer these 4 questions about your “AI initiative”:

1. What workflow changed end-to-end?
2. Who owns it tomorrow morning?
3. What does your telemetry show about adoption?
4. What specific value can you prove?

You don’t have AI transformation.

You have AI theatre.

Turn AI On. Make it measurable. Make it owned.

I just watched John Sanei explain the future of work.

And he’s half right.

The shift is real:

- Corporate structures fragmenting
- One-person companies with AI agents
- Individual creators capturing massive value

But here’s what nobody’s saying.

You can’t run a “one-person company with 100 agents” if you don’t know how to run operations.

Most creators are about to learn this the hard way.

Because agents don’t fix chaos.
They amplify it.

Here’s what the creator economy is missing:

The Operating System

When you’re a one-person business with AI doing your:

- Content scheduling
- Email responses
- Research
- Analytics
- Customer service

You need answers to questions most creators never ask:

Who owns it when an agent breaks?
Where’s the runbook when something fails at 2am?
How do you know what’s working vs quietly failing?
What’s your rollback plan?

Volume and cinematic quality won’t save you if your operations are a mess.

I’ve seen this movie before.

In 2015, everyone became a “startup.”
Most failed not because of their idea.
They failed because they couldn’t operate.

2026 will be the same.

Everyone becomes a “one-person company.”
Most will drown in their own automation.

The winners won’t be the ones with the most agents.

They’ll be the ones who built the operating discipline first:

- Clear workflows before automation
- Telemetry on what agents actually do
- Owners for every automated process
- Runbooks that prevent 3am panic

You can’t automate your way out of operational chaos.

You have to build the foundation first.

Then turn AI on.

The future of work isn’t just “individual + agents.”

It’s “individual + agents + operational discipline.”

Without that last part, you’re just creating expensive chaos faster.

A company just showed me their “AI success story.”

92% adoption rate.  
Thousands of queries per day.  
Executive team celebrating.

I asked one question that ended the meeting:

“What decision changed because of this?”

The VP of Operations froze.

“Well… people really like using it.”

“Right. But what actually changed? What do you do differently now?”

“We’re… gathering insights.”

“From where?”

“The AI generates reports.”

“Who reads them?”

“The team reviews them weekly.”

“Then what happens?”

Silence.

Here’s what I see everywhere:

High usage.  
Zero impact.

Companies confusing activity with outcomes.

Lots of people asking AI questions.  
Nobody changing how decisions get made.

The pattern:

Teams use AI to write emails faster.  
Great.  
But the approval process still takes 3 weeks.

Teams use AI to analyze data.  
Cool.  
But the insights sit in a doc nobody reads.

Teams use AI to automate reports.  
Awesome.  
But operations run exactly the same way.

This is why CFOs are getting skeptical.

They see the Snowflake bill.  
They see the ChatGPT Enterprise invoice.  
They see “high engagement.”

But they don’t see the P&L move.

The question that matters isn’t:

“Are people using AI?”

The question is:

“What stops happening when AI starts working?”

One client finally got this right.

Before AI: approval workflows took 4 days.  
After AI: approvals happen in 11 minutes.

The workflow changed.  
The decision velocity changed.  
The business outcome changed.

That’s transformation.

Everything else is just productivity theatre.

If you’re measuring “AI adoption” right now, stop.

Start measuring this instead:

What decision happens faster?  
What approval disappears?  
What manual step stops existing?  
What meeting gets cancelled?

If you can’t answer that, your AI isn’t working.

It’s just working out.

Getting reps in. Burning calories. Going nowhere.

Usage is not the same as impact.

And your board is about to figure that out.

Wild conversation I just had with a COO in Dubai.

They’re watching their organization split in half.

And they don’t know how to stop it.

55% of their team has AI embedded in daily work.
They use it inside ClickUp, Slack, their CRM.
They’re constantly asking: “Can we automate this?”

45% refuse to touch it.
They tried ChatGPT once, didn’t like the output, now claim “AI creates garbage.”

Here’s what shocked me:

The productivity gap isn’t 20%.

It’s not even 2x.

It’s 10-50x.

The AI-native teams are:

- Closing workflows in 3 days that used to take 2 weeks
- Handling 4x the volume with the same headcount
- Building telemetry dashboards in hours, not sprints

The AI-resistant teams are still:

- Scheduling meetings to discuss what should be in ClickUp
- Manually copying data between systems
- Waiting on “the right AI strategy” from leadership

Previous tech waves didn’t create gaps like this.

Excel shortcuts vs mouse clicking? Maybe 25% faster.

This is different.

One team is operating differently.
The other team is still discussing whether to start.

The COO asked me: “How do I fix this?”

I said: “You can’t train someone into being AI-native.”

“You have to rebuild the workflows so AI is embedded, not optional.”

If the workflow requires AI to function, adoption becomes binary.

You use it, or the work doesn’t happen.

That’s how you close the gap.

Not with training sessions.
Not with “AI champions.”

With operating model change that makes AI unavoidable.

Because here’s the truth:

The 45% who are resisting aren’t lazy.

They’re rational.

They tried a tool in isolation.
It didn’t fit their workflow.
So they went back to what works.

You can’t blame them for that.

But you can make their current workflow obsolete.

That’s what “Turn AI On” actually means.

Not everyone using ChatGPT.

Everyone using workflows where AI is the operating system.

The companies that figure this out in 2026 will 10x their competition.

The ones that don’t will be managed by the ones that do.

Aram Mughalyan

Helping web3 B2B businesses turn LinkedIn into a lead-gen and growth engine | Building personal brands for crypto leaders | Startup & GTM Advisor | Pioneering ‘Crypto LinkedIn’ | Shirtless Ultramarathoner

Are you a web3 B2B business trying to scale beyond the crypto-native bubble of X (Twitter)?

That’s the problem I solve.

Most web3 companies build early traction on X. It works well with crypto-native audiences.

But when it’s time to scale beyond the crypto-native bubble of X and sell to institutions, TradFi, and other B2B buyers, or decision-makers outside crypto, growth stalls.

Those buyers don’t live on X. They’re on LinkedIn. 

And they respond to clear positioning, credibility, and business-first messaging.

I help web3 Founders, leaders, and B2B teams turn LinkedIn into a real authority and lead generation engine.

All designed to move you beyond the crypto bubble and into real conversations, leads, and deals.

Here are 3 ways how we can work together.

→ 1. 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐏𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐢𝐧𝐠 & 𝐏𝐫𝐨𝐟𝐢𝐥𝐞 𝐑𝐞𝐛𝐮𝐢𝐥𝐝
I audit and rebuild your LinkedIn profile to fix what’s blocking you from getting visibility, building authority, and turning your profile into a growth engine.

→ 2. 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐀𝐮𝐭𝐡𝐨𝐫𝐢𝐭𝐲 & 𝐈𝐧𝐛𝐨𝐮𝐧𝐝 𝐒𝐲𝐬𝐭𝐞𝐦
I help web3 B2B Founders and leaders build a strong personal brand on LinkedIn that drives authority and inbound leads.

This includes positioning and content strategy and execution designed to build trust at scale and turn visibility into content-driven inbound leads.

→ 3. 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐑𝐞𝐯𝐞𝐧𝐮𝐞 𝐒𝐲𝐬𝐭𝐞𝐦 (𝐈𝐧𝐛𝐨𝐮𝐧𝐝 + 𝐎𝐮𝐭𝐛𝐨𝐮𝐧𝐝)
For B2B teams, I layer targeted, hyper-personalized outbound lead generation on top of authority and inbound leads to create predictable pipeline and deal flow.

Optional: I also run 𝐬𝐩𝐨𝐧𝐬𝐨𝐫𝐞𝐝 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐩𝐨𝐬𝐭𝐬 𝐚𝐧𝐝 𝐜𝐫𝐞𝐚𝐭𝐨𝐫 𝐜𝐚𝐦𝐩𝐚𝐢𝐠𝐧𝐬 as an extra distribution lever.

Why me?

I'm a LinkedIn Top Voice and my content has generated 30M+ views and an audience of 63,000+ followers. 

I’ve worked with 100+ clients, from early startups to leading chains, protocols, and B2B companies, helping them go from zero visibility to real traction.

The result?

→ Founders who were invisible now attract investors and media.
→ Teams that struggled with awareness now dominate their category.
→ Projects without pipeline now drive inbound and outbound leads weekly.
→ Partners I’ve worked with have raised capital, landed listings, and secured collabs.
→ Clients that have generated 6- and 7-figure revenue through content, strategy, and positioning. 

Ready to build visibility that drives growth?

↳ Book a 1:1 Profile Audit Call to fix your positioning [Link is in my profile].

↳ Or DM me “GROWTH" [DMs are open for everyone].

Co-Founder

A user-owned web3 DAO. Working with the best web3 companies to help them hire top crypto talent.

I was not always this guy.

I was not always this guy with a six pack, running ultramarathons, doing 1,000 push-ups a day, and recognized web3 growth leader and LinkedIn Top Voice.

There was a time when I was:

• Fat
• Very unhealthy
• Didn't like my job
• Didn't have a girlfriend
• Felt completely stuck in life

It wasn’t just physical. I felt lost, unmotivated, and unsure where I was even heading.

I would put on a mask and pretend everything was good, and many people believed it, but deep down I was sad, frustrated, and mentally exhausted.

But by believing in myself, I found the courage to make radical decisions, develop rigid discipline, and start doing things that were hard but meaningful.

Today, in my 30s, I’m in the best physical shape of my life, with a level of discipline I once thought was reserved for other people.

I’ve lived in more than 15 countries, traveled to over 60, built a name for myself in the industry I love (web3), and became a recognized LinkedIn Creator and Top Voice.

More importantly, I’m mentally sharper, more confident, and genuinely happier than I’ve ever been.

But this didn’t happen immediately.

It was a result of small changes that kept compounding.

10 years is a lot of time.

Enough to make big changes in your body, career, environment, and the way you see yourself.
 
You just need to believe in yourself, develop extreme discipline, and keep showing up.

P.S. 
What’s the biggest personal transformation you’ve gone through so far?
 ________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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Crypto Twitter is officially DYING.

Head of Product at X (Twitter) just confirmed it.

Crypto content will be deprioritized.

The algorithm will be 70% less likely to push crypto posts to larger audiences.

Translation:

The crypto bubble on X is being intentionally collapsed.

For years, Crypto Twitter (CT) lived inside an artificial feedback loop.

• Anonymous accounts.
• Engagement farming.
• Same recycled takes.
• Same narratives.
• Same memes.

Now X is actively breaking those bubbles.

And once distribution disappears, the whole thing collapses with it.

This confirms what I’ve been saying for years.

Crypto X is NOT where the next wave of web3 growth happens.

It never was.

Real adoption doesn’t come from anonymous avatars arguing online.

It comes from trust.

From credibility.

From real identities and clear positioning.

That’s why Crypto LinkedIn keeps compounding while Crypto X decays.

On LinkedIn, you have:

→ Real companies
→ Real operators
→ Real founders
→ Real buyers
→ Real money

No anonymity.

No fake authority.

No algorithmic sugar highs.

Just professionals evaluating signal.

I’ve been saying this for the past two years.

I’m still saying it now.

And I’ll keep saying it going forward.

Crypto LinkedIn is the future.

So I'm doubling down on it.

And this shift just validated everything.

PS:
If you’re a web3 leader or Founder and want to build a personal brand here and monetize LinkedIn, DM me "GROWTH".
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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9 steps of becoming a web3 expert on LinkedIn:

1. Attend lots of web3 and NFT events
2. Post web3 event photos all over LinkedIn
3. Claim to have 20+ years of web3 experience
4. Add 0x and .eth to your first name and last name
5. Change your LinkedIn profile photo to that of an APE
6. Attend different podcasts and claim to be a web3 expert
7. Attend an ETH conference and try to get a selfie with Vitalik
8. Wear different T-Shirts with BTC, ETH and NFT written on them
9. Make predictions on crypto prices as if you are a crypto trading guru

Don’t worry if you don't know anything about web3.

You are officially a web3 expert now!
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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Nobody cares about blockchain.

They couldn't care less about your white paper.

And they definitely don’t care about your decentralized DAO.

Customers ONLY care about their problems. .

The pain points they experience every single day:

→ The time they lose
→ The risk they carry
→ The money they waste

They don’t want “web3”.

They want real outcomes that impact them:

→ Faster settlement timing
→ Cheaper payments
→ More transparency
→ Better UX

If blockchain helps deliver that, great.

If not, it’s just noise.

So stop leading with tech and white papers.

Stop selling "web3" ideology.

Start with the customer pain points.

Then show how your product fixes them.

That’s how real adoption happens.

Hype brings attention.

Utility brings revenue via paying customers.

And revenue is what keeps web3 businesses alive.
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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Crypto Marketing is badly broken.

And we keep making the same mistakes over and over again.

Most crypto marketing today is built for the crypto native audience of X (Twitter):

• Traders
• Degens
• Builders
• Crypto OGs
  
We pretend that we are "educating the market”, but we are just recycling the same narratives to the same audience.

Truth is we DON'T know how to market to anyone outside the Crypto X bubble.

And that's why many crypto projects feel stuck.

Fighting over the same pie that hasn't grown meaningfully since 2021.

But the reality is that the next phase of crypto growth won’t come from convincing more crypto natives.

(There aren't that many of them anyway.)

It will come from reaching people who don’t care about crypto at all.

That’s the hard part nobody wants to talk about.

Because this requires a different skill set.
 
Marketing to people who:

Don’t live on Crypto X
Don’t speak crypto jargon
Don’t care about cyberpunk ideology

So the real question becomes:
 
Where do these people already spend their time?

We need to use existing distribution channels that have mainstream adoption.

And LinkedIn is our best bet to do so, especially for Crypto B2B businesses:

Why?

Because this is where institutional, enterprise and B2B decision makers, operators, and executives with real budget spend their time.

If crypto wants to go mainstream, especially on the B2B side, distribution matters more than narratives.

We don’t need louder messaging or more hype on X.

Instead, we need:

→ Less jargon.
→ Clearer messaging.
→ Less insider language.
→ More focus on outcomes, trust, and real-world value.

Crypto won’t scale because protocols get marginally better.

It will scale because communication gets radically better.

Because we stop waiting for users to “figure it out” and actively meet them where they already are.

P.S.
If you’re a Crypto B2B founder or web3 leader and want to scale on LinkedIn, DM me “GROWTH”.

My DMs are open for everyone.
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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Helping web3 B2B businesses turn LinkedIn into a lead-gen and growth engine | Building personal brands for crypto leaders | Pioneering ‘Crypto LinkedIn’ | Shirtless Ultramarathoner

When we think of NFTs, we mostly think of static ape jpegs.

But there's a new type of NTFs emerging: Dynamic NFTs.

The problem with regular NFTs is that all the data they contain can't be updated.

Many use cases such as tokenizing real world assets or building blockchain based video games require data to be constantly updated.

This is where Dynamic NFTs (dNFTs) come in.

They have a smart contract that allows it to automatically change its metadata based on external factors using oracles like Chainlink.

Here's an interesting use case for a tokenized Tesla dNFT.

Its metadata is constantly updating to reflect things like:

- Mileage
- Market value
- Service record
- Accident history
- Ownership history

This makes the car's history on chain and tamper-proof for both current and future owners. 

dNFTs have the potential to revolutionize many traditional industries.

The next wave of the NFT boom is going to be based on real-world use cases rather than ape jpeg collectibles. 
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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1 billion people onchain by 2030 isn’t ambitious.

And it won’t be driven by crypto-native dApps or wallets.

It will be driven by governments, financial institutions, and enterprises upgrading their infrastructure.

That’s exactly what ADI Foundation is building.

ADI Foundation was launched in Abu Dhabi, founded by Sirius International Holding, IHC’s digital arm, to build sovereign-grade blockchain infrastructure for emerging markets.

This isn’t a consumer crypto experiment.

It’s institutional infrastructure designed to sit underneath public services, payment rails, and enterprise systems already used by millions of people.

At the core is ADI Chain.

An institutional Layer-2 built on zkSync’s ZK stack, recently launched on mainnet.

ADI Chain allows governments and enterprises to deploy their own jurisdiction-specific Layer-3 blockchains.

Each Layer-3 can be customized to local regulatory requirements while remaining anchored to shared ADI chain's security and liquidity.

Built-in features include:

• KYC and AML compliance
• Programmable governance
• Compliance-by-design architecture
• Data residency and privacy controls
  
ADI’s focus areas are intentionally practical.

→ Stablecoin payments.

→  Real-World Asset (RWA) tokenization.

→  Regulated digital rails integrated into existing financial and public infrastructure.

A key pillar is AED-pegged stablecoin rails designed under UAE Central Bank oversight.

These rails act as public settlement infrastructure, supporting government services, retail payments, tourism flows, and enterprise settlement on programmable rails.

ADI Chain’s ADI token was also launched alongside mainnet last month and is listed on major exchanges including Crypto(.)com, Kraken, and KuCoin.

It supports network operations, governance, and ecosystem incentives.

But what makes ADI tangible is the scale of the partners and allies network in motion.

ADI is building alongside 50+ institutions and enterprises.

With deployments and pilots spanning 20+ countries and reaching hundreds of millions of users through existing systems and services:

→ Mastercard working on payment and settlement rails
→ Abu Dhabi Real Estate Centre tokenizing property registries
→ NEAR supporting infrastructure and AI-enabled applications
→ BlackRock exploring institutional-grade digital asset infrastructure
→ Franklin Templeton collaborating on regulated tokenized products
→ Emirates Driving Company piloting digital records and payment flows
→ MPESA exploring stablecoin and payment integrations in emerging markets

The strategy is clear.

ADI isn’t onboarding users one wallet at a time.

It’s onboarding institutions and governments by meeting them where they already are.

And letting adoption happen naturally on top.

So if you’re building in RWAs or stablecoin payments space, ADI Chain is worth paying attention to.

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Wyoming just became first US State to issue its own stablecoin.

Are we going to have 50 versions of the same digital dollar?

Wyoming didn’t just talk about stablecoins.

It launched one.

The token is called FRNT.

FRNT is a USD stablecoin backed by cash and short term US Treasuries.

And it’s issued by the Wyoming Stable Token Commission.

With an overcollateralization buffer.

And here’s the key incentive.

The yield doesn’t go to private shareholders.

It goes to the State of Wyoming.

FRNT is available on a whole bunch of chains like:

→ Base
→ Solana
→ Polygon
→ Arbitrum
→ Optimism
→ Ethereum
→ Avalanche

Wyoming is treating blockchains as settlement rails.

Not as ideological choices.

Why Wyoming?

Because it’s one of the most crypto friendly states in the US.

It has spent years building clear legal frameworks for digital assets.

So it’s not surprising it’s the first mover.

But now comes the uncomfortable question.

What happens if every state does this?

Technically, these stablecoins could be interoperable.

But economically and legally?

It would be a liquidity nightmare.

• 50 issuers.
• 50 legal regimes.
• 50 redemption rules.
• 50 reserve managers.
• 50 compliance frameworks.

Money is a network effect business.

Liquidity fragments fast.

Users don’t want to think about which state issued their digital dollar.

From a user perspective, one federal stablecoin would be cleaner.

Simpler.

More liquid.

But states have a strong incentive to issue their own.

Because issuing a stablecoin means:

→ Capturing Treasury yield
→ Controlling the payment rails
→ Keeping financial upside at the state level

So this tension is real.

Federal simplicity vs state level incentives.

Wyoming just showed it’s possible.

But the real question is:

How many more state stablecoins will we see?

And which state do you think will be next?
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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Posting on Crypto LinkedIn is so cringe.


I keep hearing this constantly.

Too polished.
Too corporate.  
Founders suddenly “excited to share.”

Sure, some of it may be true.

But here’s what people in crypto completely miss:

→ While they’re mocking LinkedIn, others are building real leverage.

→ While they’re farming engagement on X, others are getting serious clients.

→ While they’re hiding behind crypto-native language, others are translating what they do into business outcomes.

Crypto LinkedIn being “cringe” worked in my favor.

It keeps serious competitors away.

Most smart web3 builders are too worried about looking uncool to post consistently.

But the ones who do?

They attract institutional, enterprise, and B2B buyers.
They talk to people with real budgets. 
They close real deals.
 
Not because they’re louder.
 
Because they show up.

P.S.
Would you rather be labeled “cringe” and get clients or play it safe and stay invisible?
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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Time is money. You should assume everyone is worth $100/hr.

When you ask someone for a 30-minute call, you’re really asking them for $50.

If a random stranger on LinkedIn asked you for $50, would you hand it over?

Probably not.

But if a friend or trusted connection asked you for $50 and told you they could add even more value back, would you give it to them?

Probably yes.

That’s exactly how time works.

So don’t expect a stranger on LinkedIn to give you 30 minutes on day 1 to “explore synergies.”

Either you add value and build a relationship with them first.

Or you pay for an advisory call instead of assuming people owe you their time.

Time is the most expensive currency we have.

So ask for it wisely.

P.S. How many “let’s explore synergies” requests do you get every week?
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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AI quickly became default for every tech company.
 
Blockchain will do the same for all FinTech and banks.

Five years ago, AI was a feature.

Today, it’s table stakes.

If your product doesn’t have AI somewhere in the stack, you’re already behind.

The same shift is coming to finance.

Banks, FinTech apps, and institutions won’t “adopt crypto”.

They’ll quietly rebuild their infrastructure onchain.

Not because it’s ideological.

Because it’s faster, cheaper, and more programmable.

I know. This doesn’t look like the cyberpunk future we imagined.

Not the world where everyone manually manages wallets and signs transactions all day.

The real future looks much more 'boring' on the surface.

You’ll use Stripe.
You’ll use PayPal.
You’ll use Revolut.
You'll use your bank.

Yet under the hood:

→ Stablecoins replace legacy settlement rails
→ Compliance is baked into the protocol layer
→ Equities, funds, and real world assets move on-chain
→ Clearing and reconciliation become software problems

Some parts will be permissionless.

Some will be permissioned.

Some will stay centralized.

Most systems will be hybrid by design.

And that’s not a failure of crypto.

That’s crypto growing up and adapting to the real needs of the majority of people.

Crypto won't replace FinTech and big banks.

Instead, it will merge into them and power their tech stack on the backend.

The winners won’t call themselves "crypto companies".

They’ll just be the same TradFi companies running on blockchain rails.

P.S.
The awesome hoodie sent to me by Onchain Foundation.
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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Crypto Fundraising based on narrative and hype is DEAD.

The rules of Crypto VCs are being rewritten.

What worked in 2020–2022 no longer works today.

Pitch decks powered by vibes, buzzwords, and token narratives are getting filtered out early.

And the data makes this painfully clear.

In Q4 2025, crypto funding had a real bump.

• $7.45B raised
• 195 rounds
  
Now compare that to the peak cycle in Q1 2022:

• $12.4B raised
• 588 rounds

It's less capital in Q4 2025 but dramatically fewer rounds.

This tells you everything.

Funding didn’t disappear.

Instead, capital today is flowing into fewer, larger, later-stage deals.

And there are two structural reasons behind this shift.

First, Crypto VCs changed the rules of the game.

They are no longer underwriting:

→ Narratives
→ Hype cycles
→ Token-first stories

They are underwriting:

→ Real businesses
→ Sustainable growth
→ Proven product-market fit
→ Clear revenue and exit paths

Raising capital today requires proof of traction, not imagination.

Second, AI completely rewired how startups get built.

You no longer need:

→ Massive early burn
→ Oversized seed rounds
→ Large engineering teams

Small teams can now:

→ Build faster
→ Ship earlier
→ Iterate cheaper
→ Reach traction with orders of magnitude less capital

That forces discipline.

And it kills the old “raise big to figure it out later” model.

This is why early-stage deal count collapsed.

And why later-stage capital stayed resilient.

Where VCs are still most bullish:

→ Stablecoins and payments
→ Institutional-grade market infra
→ Selective, high-signal RWA tokenization 
→ Other real-life use cases using blockchain

These aren’t flashy narratives.

They move real money.

They solve real problems.

And most importantly, they scale.

Funding is still there.

But it is concentrating around fewer, more proven ideas.

This is painful for early builders.

But healthier for the industry.

This is crypto growing up.

VCs are backing businesses.

Not narratives.
Not hype cycles.
Not token-first experiments.

So if you’re building in web3 in 2026:

→ Build first
→ Prove demand early
→ Use capital efficiently
→ Raise when the business earns it

P.S.
If you’re web3 Founder fundraising and need help with positioning or intros to Crypto VCs, drop me a message with “Fundraising”.

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He was a web3 B2B Founder with 30,000 followers.

But he did not get a single meaningful lead.

Real customers, good initial traction, and a strong product.

But on LinkedIn?

He was stuck.

His posts got views…
Just never from the people who actually matter.

Partners scrolled.
Investors skimmed.
Decision-makers ignored him completely.

During our first call, he said something most founders feel but never admit:

“Aram, I’m doing everything I’m supposed to do.

But nothing is happening.”

So we tore everything down and rebuilt his profile properly.

Not with hacks.
Not with louder posting.
Not with recycled crypto commentary.

We focused on the three things that move the needle in B2B:

→ Positioning him as the obvious expert in his space
→ Writing content that speaks directly to buyers, not spectators
→ Turning his personal brand into a credibility engine buyers trust

Slowly, the entire perception around him shifted.

He wasn’t “a founder who posts.”

He became the founder people listen to.

The founder whose posts get screenshotted.

Shared in group chats.

Discussed inside companies.

90 days later, things flipped:

→ Warm inbound from real B2B buyers.
→ Consistent calls with the right partners.
→ A healthy pipeline of $195,000 in inbound business directly from his content.

No extra posting.
No extra noise.
Just clarity, confidence, and the right strategy.

That’s what a real LinkedIn presence does in web3.

It doesn’t make you louder.

It makes you impossible to ignore.

P.S.
Is your LinkedIn presence creating the opportunities for you?
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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NYSE just announced a securities tokenization platform.

$40+ Trillion in equities are coming onchain.

This is not a pilot or a proof of concept.

And not a “crypto experiment.”

The New York Stock Exchange (NYSE) is building infrastructure for tokenized securities as a core market primitive.

Today’s equity markets still run on legacy rails.

• T+2 settlement
• Multiple clearing layers
• Fragmented global access
• Capital locked in intermediaries

Tokenization turns things upside down.

Under the new regime, onchain securities enable:

• 24/7 markets
• Near-instant settlement
• Atomic delivery vs payment
• Global distribution by default

But key detail is how NYSE is executing this shift.

The existing exchange will keep operating as it does today, while a new tokenized securities platform runs in parallel.

Same institution, but two market regimes.

This approach allows capital markets to migrate without forcing an abrupt transition or breaking existing workflows.

This parallel setup also gives the rest of the industry time to realign:

→ 𝗥𝗼𝗯𝗶𝗻𝗵𝗼𝗼𝗱 is preparing for equities to trade as programmable, onchain assets.

→ 𝗖𝗼𝗶𝗻𝗯𝗮𝘀𝗲 is positioning as the gateway for tokenized equity distribution and custody.

→ 𝗗𝗧𝗖𝗖 is tokenizing clearing, settlement, and collateral to modernize market plumbing.

As these players converge, the shift becomes structural rather than theoretical.

Settlement cycles collapse.
Capital efficiency improves.
Market access becomes global by default.

When NYSE commits to running both systems side by side, it’s a clear signal.

Capital markets are not experimenting with blockchain.

They are adopting it.

P.S.
If this is not proof that web3 is going mainstream, then what is?
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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An uncomfortable truth nobody wants to hear.

Crypto could be your last shot at building generational wealth.

The window is closing fast. 

In past decades, people built generational wealth through homeownership, pensions, or early access to the stock market.

Those doors aren’t open the same way anymore.

Most people in the West aren’t doing better than their parents:

• Social mobility is dwindling
• Buying a house has become unaffordable
• Traditional ladders to wealth creation are breaking down

Crypto is the first, and maybe last, asset class where retail investors can still get in early, before institutions and sharks fully dominate.

Here’s why this moment matters:

→ 𝗧𝗵𝗶𝘀 𝗰𝘆𝗰𝗹𝗲 𝗺𝗮𝘆 𝗯𝗲 𝘁𝗵𝗲 𝗹𝗮𝘀𝘁 𝘄𝗶𝗹𝗱 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆. 
• Once regulation and Wall Street ownership take over, the explosive upside will look more like steady stock market gains.

→ 𝗧𝗵𝗲 𝗽𝗹𝗮𝘆𝗶𝗻𝗴 𝗳𝗶𝗲𝗹𝗱 𝗶𝘀 𝘀𝘁𝗶𝗹𝗹 𝗼𝗽𝗲𝗻. 
• Today, anyone with internet access can buy, trade, and custody assets without needing banks or brokers. That gap will shrink as traditional finance moves in.

→ 𝗜𝘁’𝘀 𝗮 𝗰𝗵𝗮𝗻𝗰𝗲 𝘁𝗼 𝗯𝗿𝗲𝗮𝗸 𝗹𝗲𝗴𝗮𝗰𝘆 𝗯𝗮𝗿𝗿𝗶𝗲𝗿𝘀. 
• For people without family wealth, crypto is one of the only ways to build and pass down assets outside of closed, inherited systems.

If you’re hearing “crypto” and thinking only of memes or volatility, you’re missing the point.

What moves to make now:

→ Build a secure, diversified strategy.
→ Learn and invest for the long game, not quick flips.
→ Protect and plan to pass on assets for the next generation.

The last cycles created millionaires out of early adopters.

This cycle may be the last time ordinary investors can join them.

Note: Crypto is risky, so do your own research. Not financial or investment advice.
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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Blockchain Trillema was thought to be unsolvable.

But Vitalik claims Ethereum has just cracked it. Here’s how:

For years, the rule was simple.

You could only optimize two of these three:

→ Security
→ Scalability
→ Decentralization

If you pushed scalability, you weakened decentralization [Solana].

If you pushed decentralization, you accepted low throughput [Bitcoin and Ethereum].

That tradeoff defined every blockchain design.

Vitalik’s argument is that Ethereum has now broken this constraint in practice.

Not with theory.

But with a tech that actually exists already.

There's 2 pieces to this.

𝗙𝗶𝗿𝘀𝘁 𝗽𝗶𝗲𝗰𝗲: execution is moving to proofs.

zkEVMs allow blocks to be validated by verifying cryptographic proofs instead of re-executing every transaction.

Ethereum checks correctness.

Not computation.

That’s the key shift.

Today, zkEVMs already have production-grade performance.

But they’re still considered alpha from a safety perspective.

That’s why Ethereum hasn’t switched its core block validation to zk proofs yet.

Developers expect the first zkEVM node experiments to begin this year.

But Vitalik does not expect zkEVMs to become the dominant validation method until later this decade.

So the speed exists.

But the caution is intentional.

𝗦𝗲𝗰𝗼𝗻𝗱 𝗽𝗶𝗲𝗰𝗲: data availability has already moved forward.

Ethereum has expanded data availability through PeerDAS.

Instead of nodes downloading all data, they probabilistically sample chunks from peers.

If enough samples are available, the network can be confident the full data exists.

This increases data capacity without increasing hardware requirements.

This part is already live.

But data alone doesn’t make Ethereum feel fast.

Execution is the remaining bottleneck.

Put together, this explains the disconnect people feel.

Ethereum hasn’t “failed to scale.”

It’s sequencing upgrades safely.

→ Data availability expanded first
→ Proof-based execution is to come next
→ Consensus changes only after safety is proven

That’s why Vitalik’s claim isn’t that Ethereum is fast now.

It’s that, for the first time, the trilemma is no longer a hard constraint.

If this roadmap lands, Ethereum becomes a system where:

Security, decentralization, and scalability reinforce each other.

Instead of competing.

That’s the real breakthrough.

P.S. 
Would you rather Ethereum scale fast and risk safety, or scale slowly and get it right?
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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I DON'T care if crypto prices have crashed overnight.

In fact, I'm only happy about it.

Because if you're in this market for the long term, this is exactly the moment you should be excited about.

You see, most people panic when prices drop.

But that’s because they never understood what they were investing in.

They were chasing narratives, influencers, and short-term pumps.

I’m not one of them.

I’m a long-term believer who’s been through enough cycles to know what’s coming next.

→ When others panic-sell, I accumulate.
→ When others lose conviction, I double down.

Because I know that:

• Institutional adoption is only accelerating.
• Stablecoin volume is setting new high records.
• Spot ETFs have permanently changed capital flows.
• L1/2 ecosystems and protocols are maturing faster than ever.
• Tokenization, RWAs, and stablecoin rails are merging with TradFi.
• Digital Asset Treasury (DAT) companies are quietly scooping up more crypto
 
These are not signals of collapse.

They’re signals of foundation being built for the long-term success.

Whether this crash is temporary or extends deeper into a bear market, I’ll still keep buying.

Because I’m not here for next week’s chart.

I fundamentally believe crypto will reshape finance and I’m here for the next cycle’s rewards.

I have the nerves to keep buying as the market crashes even more. 

And then sit through 80% drawdowns if that’s what it takes.

Those who panic today will watch in disbelief when the next leg up begins.

Those who stay will build generational wealth.

𝘕𝘖𝘛𝘌: 𝘛𝘩𝘪𝘴 𝘪𝘴 𝘯𝘰𝘵 𝘧𝘪𝘯𝘢𝘯𝘤𝘪𝘢𝘭 𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵 𝘢𝘥𝘷𝘪𝘤𝘦. 𝘈𝘭𝘸𝘢𝘺𝘴 𝘥𝘰 𝘺𝘰𝘶𝘳 𝘰𝘸𝘯 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩.

P.S.
Do you buy more when markets crash or wait until they recover?
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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The era of decentralized social media is coming to an end.

Last week both Farcaster and Lens teams capitulated.

Not with a blog post admitting failure.
 
But with actions that say everything.

→ Farcaster repaid early venture backers and sold the core product to Neynar


→ Lens transferred stewardship of the protocol to Mask Network

And this wasn’t due to a lack of capital.

• Farcaster raised roughly $180M from top-tier VCs
• Lens raised over $45M and was incubated inside Aave

Both teams simply failed to scale beyond a narrow crypto-native audience.

For years, their pitch was ideological.

Decentralization.
Censorship resistance.
User-owned social graphs. 

But ideology alone doesn’t attract users at scale.
 
So both Farcaster and Lens remained niche.

Highly engaged communities, but fundamentally capped in size.

They never escaped the same small onchain social bubble.

Builders showed up.
Crypto native power users stayed.
But mainstream users never followed.

And without massive network effects, social products inevitably stall.

This is the brutal reality of decentralized social media.

You don’t win by being better.

You win by being where everyone already is.

That's why X and LinkedIn have huge moats with deep behavioral lock-in.

Overcoming them requires either a 10x improvement in UX or a completely new reason to exist.

Decentralization alone was NEITHER.

Even the Base app by Coinbase is learning this lesson in real time.

So it’s shifting toward a finance-first UX, not a social-first one.
 
This isn’t a betrayal of values.

It’s a market correction.

Decentralized social didn’t fail because it was decentralized.

It failed because it never escaped the crypto echo chamber.

P.S.
This is yet another proof that web3 products need to scale and go mainstream if they want to succeed.
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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One year in the crypto industry equals 3 years anywhere else.

There's no substitute for lessons learned in a crypto startup:

• Ensuring smart contract security and auditing
• Conducting token sales and managing tokenomics
• Trying to get a bank account opened (unsuccessfully)
• Using AI tools to build faster, write smarter, and ship daily
• Receiving investor dollars in USDC and managing the treasury
• Navigating regulatory uncertainties and compliance challenges
• Educating the community members on how to use the protocol
• Paying your business partners and getting paid yourself in crypto
• Attending events and selling your vision to investors and partners
• Innovating, designing, and building a protocol from the ground up
• Understanding what a hard fork would mean for the future of protocol
• Becoming an expert in managing Discord, Twitter & Telegram communities

Crypto is still very early.

You can easily develop a competitive advantage by joining it now.

P.S.
What did you learn in crypto that you haven't learned anywhere else?
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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In 2026, Crypto LinkedIn has two types of creators.

1. Creators who use AI as a force multiplier
2. Creators who outsource their thinking to the AI

The first group compounds its reach.

The second one slowly drifts into irrelevance.

You can see this shift happening in real time:

→ 80-90%+ of Crypto LinkedIn posts are now AI-assisted
→ Yet organic reach is concentrating into fewer than 10% of active accounts

More content than ever.

Yet it all feels like the same bland AI slop.

Not surprisingly, LinkedIn is aggressively surfacing authentic voices amid a flood of generic AI content.

What happens to Group 1:

They stay in control of the idea.

AI is used to speed up execution, not decide direction.

→ Research done 5–10x faster
→ Takes sharpened before publishing
→ Drafts edited down instead of padded

Their opinions feel intentional.

Their tone stays consistent.

Their content feels authored, not generated.

Result:

→ Higher saves
→ More profile clicks
→ Higher engagement
→ More inbound conversations

Now Group 2:

They let AI choose the angle.

They publish technically correct, emotionally flat content written entirely by AI.

→ Familiar phrases
→ No edge, no friction
→ Predictable structure

But the problem is they sounds just like everyone else.

As a result:

→ Reach drops 50%+
→ Posts stop circulating
→ The account goes quiet without realizing it

Not banned.

Not penalized.

Just being ignored.

That’s the brutal part.

So the question was never “should I use AI?”

The real question is:

Am I using AI to move faster?
Or am I letting it decide what I think?

Because by 2026, Crypto LinkedIn won’t reward activity.

It will reward authenticity.

And creators who refuse to let AI replace their voice.

P.S.
What's the most annoying part about the AI slop that you see?
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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The Battle

Hitesh Mahajan

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The Battle

Hitesh Mahajan

Aram Mughalyan

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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);}Hitesh Mahajan's LinkedIn Performance

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Performance ScoreHitesh Mahajan's LinkedIn Performance