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 company 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, enterprises, 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 grow their revenue by 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐥𝐞𝐚𝐝𝐬 𝐨𝐧 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧. Depending on where you’re at on LinkedIn, my work typically falls into 3 areas. → 1. 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐏𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐢𝐧𝐠 &amp; 𝐏𝐫𝐨𝐟𝐢𝐥𝐞 𝐑𝐞𝐛𝐮𝐢𝐥𝐝 I start by auditing and rebuilding your LinkedIn profile to fix positioning and credibility gaps that are currently limiting visibility, trust, and inbound conversations. → 2. 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐀𝐮𝐭𝐡𝐨𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐋𝐞𝐚𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 For Web3 founders and leaders who want authority and consistent pipeline, I help shape content and execution so LinkedIn becomes a reliable source of qualified leads. This includes defining what you should talk about and how your content supports real business conversations. → 3. 𝐒𝐩𝐨𝐧𝐬𝐨𝐫𝐞𝐝 𝐏𝐨𝐬𝐭𝐬 𝐚𝐧𝐝 𝐂𝐫𝐞𝐚𝐭𝐨𝐫 𝐂𝐚𝐦𝐩𝐚𝐢𝐠𝐧𝐬I distribute your message to my audience through sponsored posts. Need wider reach? I also work with a curated network of web3 LinkedIn creators to amplify beyond my own following. Why me? I'm a LinkedIn Top Voice with an audience of 64,000+ followers in the web3 space.I've done this by solving the same problem most web3 companies face: translating crypto-native credibility into positioning that resonates with institutional buyers, enterprise partners, and B2B decision-makers.Ready to build visibility that drives growth? Book a 1:1 Profile Audit Call or DM me “GROWTH". My 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.

This idea is pretty uncomfortable to admit.

Crypto was NOT built for humans.

It was built for machines.

And once you see it, you can’t unsee it.

For 17 years we tried to force humans into crypto.

Gas fees.
Hex addresses.
12-word seed phrases.
Signing unreadable transactions.

And then we wondered why crypto didn’t go mainstream.

Because humans prefer:

• Customer support
• Reversible payments
• Simple user experience
• Someone to blame when things break

Sure, banks are hugely inefficient.

But they were designed around human needs first.

Crypto wasn’t.

Crypto is deterministic.

Rigid.
Rule based.
Unforgiving.

Now flip the lens.

Who thrives in deterministic systems?

Machines.

AI agents don’t care about simple user experience.

They don’t panic when they see a 0x address.

They don’t fall for phishing attacks.

They can:

→ Verify contracts in seconds
→ Simulate complex outcomes
→ Execute transactions automatically

Now, try plugging an AI agent into the traditional banking system.

It can’t open a bank account.

It can’t pass KYC as a human, business, or government.

It can’t legally hold funds.

The legacy system literally has no category for it.

But onchain?

A wallet is just code.

So an AI agent can hold funds, move value, and execute agreements without paperwork, approvals, or waiting on banking hours.

This is the part most people miss.

Crypto won't go mainstream as a frontend product.

But it will go mainstream as a backend infrastructure.

(Stablecoins and Real-World Assets are big facilitators in this transition.)

Humans won’t be comparing bridges or signing 7 popups.

They’ll tell their AI agent what they want:

“Pay this invoice.”
“Rebalance my treasury.”
“Find me yield with these constraints.”

The AI agent will route through stablecoins, DeFi, RWAs, whatever stack exists, and you’ll only see the outcome.

That’s when crypto finally feels normal.

Not because everyone became crypto native.

But because crypto became the default rail for machines, and humans benefited from it in the background.

The uncomfortable truth?

Crypto was never built for humans.

It was waiting for machines.

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👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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manusiatech

solidatehq

Helping web3 B2B companies get inbound + outbound leads on LinkedIn | Building personal brands for crypto leaders | Shirtless Ultramarathoner

RWAs on Ethereum just crossed $15B.

That’s more than 3x growth in a year.

What’s driving almost all of this growth?

Tokenized funds.

Mostly short duration U.S. Treasury and money market style products.

Here are the top categories:

1. 𝗧𝗼𝗸𝗲𝗻𝗶𝘇𝗲𝗱 𝗴𝗼𝗹𝗱 𝘀𝗰𝗮𝗹𝗲𝗱 𝗵𝗮𝗿𝗱.

Tether Gold jumped from ~$515M to ~$2.71B, up ~426% YoY.

Paxos Gold climbed from ~$527M to ~$2.34B, up ~344% YoY.

Gold alone added over $4B in new onchain value.

2. 𝗧𝗼𝗸𝗲𝗻𝗶𝘇𝗲𝗱 𝗧𝗿𝗲𝗮𝘀𝘂𝗿𝘆 𝗮𝗻𝗱 𝗺𝗼𝗻𝗲𝘆 𝗺𝗮𝗿𝗸𝗲𝘁 𝗳𝘂𝗻𝗱𝘀 𝗲𝘅𝗽𝗹𝗼𝗱𝗲𝗱.

→ Ondo USDY: +190%
→ BlackRock BUIDL: +44%
→ Janus Henderson treasury: +1,700%
→ Ondo short term gov bonds: +224%
→ Superstate short duration gov fund: +670%
→ WisdomTree digital money market: +6,000%+

This is real cash management infrastructure moving onchain.

3. 𝗡𝗲𝘄 𝘆𝗶𝗲𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝗿𝗲𝗮𝗰𝗵𝗲𝗱 𝘀𝗰𝗮𝗹𝗲 𝗮𝗹𝗺𝗼𝘀𝘁 𝗶𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆.
 
Syrup USDC scaled to ~$1.72B, while Syrup USDT reached ~$605M.
 
Both effectively started from a negligible base, implying hypergrowth within a single year.
 
Together, they now represent over ~$2.3B in onchain RWA value.
 
Why these assets drove the growth?
 
Because they turn idle stablecoins into yield.
 
And integrate directly into DeFi as collateral.
 
While large issuers are deploying real capital, not pilots.
  
Ethereum still dominates the RWA landscape with close to 60% market share.
 
Zooming out, stablecoins on Ethereum alone exceed $160B in market cap.
 
RWAs at $15B are still only a fraction of that base layer of onchain dollars.
 
If one of the fastest growing asset classes in crypto is still this small relative to the stablecoins, the growth ceiling is nowhere near being hit.
 
So you are still not bullish on RWAs?

P.S.
All figures above refer to the natively issued, distributed RWAs on Ethereum.
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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Many web3 Founders wonder why enterprises won’t buy from them.

It’s NOT their tech holding them back.

It’s the way they communicate it.

Most founders speak in crypto-native language.

Hype. Jargon. Protocol talk.

Perfect for the X (Twitter) crowd.

Useless for enterprise buyers on LinkedIn.

Because these buyers don’t care about decentralisation, block space or validator sets.

They care about:

→ Reducing risk
→ Improving margins
→ Staying compliant in regulated environments
→ Getting clear outcomes they can defend internally

And when your messaging doesn’t map to those outcomes, two things happen:

• They don’t understand what you do
• They don’t trust you enough to buy

This is the silent killer of Web3 B2B growth.

Your team world-class.
Your traction impressive.
Your product can be brilliant.

But if your narrative doesn’t translate into their language, your deals die before the first call.

The teams that win outside crypto do something different:

→ They stop selling tech and start selling outcomes
→ They rebuild the founder’s LinkedIn for credibility
→ They reposition their story around business impact
→ They publish content that speaks to decision-makers, not degens

Because enterprises don’t buy innovation.

They buy clarity.

Fix the story and the sales motion finally starts moving.

P.S. 
Want to see how a web3 Founder’s narrative sounds when it’s rewritten for enterprise buyers instead of crypto natives?

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Most of of web3 Founders fail at building a personal brand. 

They keep making the same mistake all the time. 

They spread themselves too thin. 

They try to be everywhere at once.

• X
• LinkedIn
• YouTube
• Farcaster
• Newsletter
• Telegram Channel

And then wonder why nothing compounds.

Here’s the boring truth nobody wants to hear:

Pick one problem to solve
Pick one platform
Pick one niche

And double down on it until you get to 6 or 7 figure ARR. 

Only then start expanding. 

Don't dilute your attention too much. 

Most web3 Founders expand too early.
 
That’s why they stay invisible.

This is why I am only on LinkedIn and not X.

P.S.
If you had to start all over again, which platform would you pick?

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Most crypto users are forced to make the same compromise.

Either use software wallets like MetaMask that feel fast and familiar, but leave them exposed.

Or rely on hardware wallets that are secure, but clunky and awkward to use.

Neither option really fits how people actually operate anymore.

And for a long time, that was also my setup.

A mix of different wallets:

• Some software wallets for speed.
• Some hardware wallets for “safety”.

Every time I wanted to move crypto, connect to an app, or do something slightly more involved, it became a hassle.

Switching wallets.
Switching hardware devices.
Breaking my flow into unnecessary steps.

A simple portfolio rebalancing could easily take 1 hour. 

Not ideal.

Eventually it clicked that this could be much simpler.

These days, Ledger Wallet is where I manage things.

It’s the app interface I use to manage my crypto portfolio, connect to dApps and protocols, and move through web3 in a secure way.

And then there's Ledger Nano Gen5 that sits behind it as the signer.

It’s the hardware device that verifies what’s happening and signs transactions with full visibility before anything goes through.

Sleek.
Touchscreen.
Clear context.

No guessing what you’re approving.

The result is that things just feel smoother.

I cut down the portfolio rebalancing time more than 4x to under 15 mins. 

And no longer worry about choosing between convenience and security.

If you’ve been in my shoes and need a simpler setup, check out Ledger Nano Gen5.

Link is in the comments.
________________________________________________________
👋 I’m Aram, helping web3 leaders & B2B businesses grow on 𝗖𝗿𝘆𝗽𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻.

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Web3 B2B sales is broken.

Because we’re still using the old 2021 playbook.

And that playbook was built for hype.

Not for institutional or enterprise buyers.

Here’s the old way most web3 B2B teams still operate:

→ Blast automated DMs on X and call it “B2B sales”
→ Inflate follower counts with bots and vanity metrics
→ Spam prospects on Telegram from random accounts
→ Hire Twitter KOLs to pump narratives and dump attention
→ Run airdrops and InfoFi campaigns that attract the wrong crowd

This worked in 2021.

When everyone was early.
When credibility didn’t matter.
When buyers were crypto native.

Today?

Institutional and enterprise buyers see right through this.

• Telegram spam kills credibility.
• X (Twitter) outreach has low trust.
• Automation without context signals amateurism.

None of these converts into large ticket web3 B2B deals.

We need to change how we think about it.

Positioning beats noise.
Credibility beats automation.
High trust beats high volume.

Most importantly, Founders and web3 sales leaders need to be where the real buyers are.

And that's not X or Telegram.

That platform is LinkedIn.

This is where the institutional and enterprise decision makers live.

The new playbook for web3 B2B BD should be:

→ Founders build a visible personal brand on LinkedIn
→ Storytelling that builds familiarity with right stakeholders
→ Clear positioning around real business value, not token hype
→ Consistent content that explains what you do in buyer language
→ Highly customized LinkedIn approach instead of cold random DMs

When done right, something flips.

You stop chasing buyers.

Institutional and enterprise leads come to you.

Conversations start warm.

Trust is already established.

Closing large ticket web3 B2B deals becomes easier, not harder.

This is how modern web3 B2B sales actually works.

P.S.
If you’re a web3 B2B business and want to scale without spam or hype, DM me “Growth”.

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CEO at Kanso Code | Digital Innovation for B2B Enterprises and Startups. Unlock digital growth.

We help ambitious founders and growing companies build fast, scalable products with strong engineering foundations.

Kunso is a Strategic Engineering Partner focused on fixing product bottlenecks, stabilizing systems, and accelerating delivery.

Real outcomes:
• Mobile Wellness App — 0 to $1M ARR in 18 months, 4.9★ rating, 10,000+ reviews
• Timeleft Social Platform — scaled a 15-engineer team, 4.9★ App Store rating, 60 countries
• Asia E-Wallet — built global operations, 231K+ reviews, 4.8★ on Apple & Android

Clients work with us when:
• Product development slows down
• Adding engineers doesn’t improve delivery
• Bugs and incidents keep increasing
• The system becomes hard to evolve

We come in, fix the engineering foundation, and get the team shipping predictably again.

More: kunso.com

Mikki Kobvel

We started using Claude artifacts at Kunso about a year ago to validate UX flows directly with clients.

It quietly changed how we build.

We barely need designers now. Just a solid brand book.

Clients generate working artifacts themselves and send them straight to dev.

They already know how the product will feel before anything is built.

No more back and forth between design, product, and engineering.
No endless interpretation loops.

Communication tax dropped by ~90%.

Strange moment when clients come with clearer specs than most product teams.

What a time to be alive.

CEO @ Kunso - Strategic Engineering for Fast-Scaling Founders

The Design Process is Dead

Jenny Wen, Design Lead at Anthropic, said something interesting recently and I agree with it.

We don’t have time anymore for endless loops on “perfect pixel” mockups.

Building a polished design just to discover it fails in production is a luxury most teams no longer have.

Engineering teams now use AI to generate features directly. Interfaces evolve while the product is already running, not months before it ships.

Teams are smaller.
Feedback cycles are shorter.
Products adapt in real time.

The old workflow looked like this:

Design → Handoff → Engineering → Reality check.

That model is dying.

If your team still treats Figma files as the final source of truth before anything is built, you are slowing the product down.

Design is no longer about delivering perfect screens.

It is about shaping systems that can evolve while they are live.

Full interview:
https://lnkd.in/dA-mcsEV

I’ve been using AI-enabled coding since the early days of GPT-3 and Anthropic models, successfully integrating product engineering concepts into startup teams that benefit the most from reduced communication overhead.

But the last 2 months were completely wild for the world of software development.

We finally stopped looking into the code. It’s purely Agentic Engineering with high-level prompting.
High-grade security and insane overhead cuts.

Leaders will keep cutting headcount and will have to promote high performers to very high compensation.

The math has changed.

#productengineering #techstrategy

One engineer with product mindset and ability to use coding agents is now worth 15x more than a 2008 developer.

The difference is not delivery speed.
The difference is not delivering.

When cost of code goes down to model cost, the main question stops being “how fast can you build?” and becomes “what should you build at all?”

Anyone who is not challenging business requirements and shipping fast prototypes to test ideas is a dead cell in the business.

That’s ~90% of the industry right now.

If your team is not testing Kimi-2 models, multi-agent coding, production-first delivery, and AI-driven QA, you’re behind.

It’s time to 𝗽𝗮𝘂𝘀𝗲 𝘁𝗲𝗰𝗵 𝗵𝗶𝗿𝗶𝗻𝗴 and rethink where your business is heading.

For years, companies solved problems by throwing more engineers at them.

More budget. More people. Tech will scale everything.

After years of this, what do we have?
Technical debt. Unused features. Heavy teams maintaining things nobody needs.

Now the leverage changed.

One strong engineer can build 10–100x more.
Not because they type faster. Because they choose better.

1 thing that matters → 10x ROI
Saying no to 9 things that don’t → 90x ROI

The highest ROI code is the code never written.

You need fewer people who build
and more people you trust to understand the business and decide what not to build.

Legacy code used to be one of the biggest business headaches.

Expensive systems. Aging components. Teams paid mainly to maintain what already exists.

Today, large parts of that work can be rebuilt or replaced with AI-assisted development faster and cheaper than ever.

If your engineers are still protecting legacy code by default, it’s worth asking why.

Are they maintaining history - or building what the business actually needs next?

Most companies don’t modernize because they want to. They modernize because the math stops working.

2026 will likely be remembered not as a breakthrough year, but as a migration year, driven by pressure. Here’s why👇🏼

Why Tech Migrations Are Becoming Economically Rational Legacy systems rarely fail in visible or dramatic ways. Instead, they deteriorate gradually. In

Open article: Why 2026 Will Be the Year of Migrations by Kunso • 3 min read

Technology is becoming less relevant.

In the last two months, we entered an era where you don’t necessarily need Python or React engineers anymore.

You need people who understand your business and can orchestrate agentic engineering workflows.

This is the next shift: an Agentic Engineering era, where abstract thinking meets AI-driven execution.

The real leverage happens when a technical person deeply understands what the business actually needs.

Suddenly, we stop caring what language your backend or frontend uses, as long as we understand first principles of engineering.

A business problem can now be explored five different ways in parallel, with one senior engineer steering AI.

Choose the optimal tool for the problem, not the one you are most comfortable with.

What a time to be alive.

AI Tech Strategy for Non-Technical Founders:
5 principles to make your team productive

𝟭. 𝗔𝗹𝗹𝗼𝘄 𝗣𝗹𝗮𝘆 𝗧𝗶𝗺𝗲
Trying new tools is time-consuming. If you want to stay relevant, you must create space for it.
Block 1 day per week for experimentation. No pressure, no deliverables. Just exploration.

𝟮. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗙𝗶𝗿𝘀𝘁
AI tools are sensitive by default.
Provide paid subscriptions for your engineering team.
Define clear rules.
Enforce cross-team review of new workflows before they touch production.

𝟯. 𝗕𝘂𝗶𝗹𝗱 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗖𝘂𝗹𝘁𝘂𝗿𝗲
Engineers must understand Ops, Sales, Support.
AI only works when the person using it understands the business deeply.
Technical skill without context is noise.

𝟰. 𝗜𝗻𝗰𝗲𝗻𝘁𝗶𝘃𝗶𝘇𝗲 𝗘𝗳𝗳𝗼𝗿𝘁, 𝗡𝗼𝘁 𝗝𝘂𝘀𝘁 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀
Many things we tested at Kunso six months ago are only paying off now.
Reward exploration and initiative as it happens.
If you only reward outcomes, nobody will take risks.

𝟱. 𝗦𝘁𝗮𝗿𝘁 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗖-𝗟𝗲𝘃𝗲𝗹
If leadership is not AI-enabled, nothing changes.
Use AI for meeting notes.
Use it for research.
Run experiments yourself.

Culture never starts from the bottom.

If your engineering team is scared to experiment, your company will fall behind with them.

2026 is a year of rethinking and refactoring of expensive legacy systems. 

The cost of using old code as a "context" is 95% more attractive than prior refactoring initiatives.

Change technology
Change framework
Build new Dashboard

What a time to be alive.

Avoiding modifications to stable systems was long regarded as a sensible engineering choice. System comprehension was expensive, migration risk was high, and major rewrites often caused more issues than they resolved.

That assumption is changing.

The work needed to comprehend current codebases, dependencies and business logic has been greatly decreased thanks to AI-assisted analysis. It is now possible to assess what once required lengthy discovery periods with more visibility and less doubt.

The risk profile has changed as a result. By default, maintaining legacy systems is no longer the safest choice. Over time, postponed modernization concentrates knowledge risk, inhibits adaptability and raises operating costs.

Nowadays, regulated change often carries a lower long-term risk than inaction. Maintaining operational sustainability is becoming more important in modernization than inventiveness.

Simplest rule we’ve used at Kunso since late 2024 to improve software delivery:

When a new workflow, plugin, or concept appears, test it on an internal product first.

Give it 2 to 3 focused hours.

If it works, refine it and keep using it.

If it does not, put it on the shelf and come back later when the next release lands.

This simple experiment-driven approach helped us discover early what actually worked with Claude, Google AI Studio, DeepSeek, AI design tools, and other workflows before they became obvious to everyone else.

We are in a phase where trying and failing fast often beats waiting until everything looks proven.

Today we are running production software written end-to-end with AI and saving hundreds of thousands of dollars in annual cost.

#SoftwareEngineering #AIDelivery #ProductDevelopment #EngineeringManagement #AIWorkflow

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The Battle

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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);}Aram Mughalyan's LinkedIn Performance

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