I automate business ops with teams of AI agents to help you scale w/o increasing overhead | Top Artificial Intelligence Voice | AI Consultant | Founder at Synthoria Labs

Most B2B founders and consultants are not spending enough time on revenue generating activities.

This is because they rely too heavily on the old way of doing everything manually.

So their days are filled with:

→ Managing their pipeline, trying to nurture every lead before they go cold
→ Sifting through Sales Nav, reading endless profiles to build a perfectly targeted list
→ Piecing together contracts/proposals for every client
→ Training yet another employee to try and pick up the slack

How can you focus on growth when 60% of your time is taken up by mind-numbing busywork?

The cycle continues..

Sleepless nights worrying about customer churn rates.

Laying awake wondering if their pipeline will dry up.

It doesn't have to be this way

All of this goes away with an AI Implementation Strategy

And no, I don't mean copying and pasting prompts into ChatGPT hoping it will save you.

Here's my 3 step strategy to reclaim 15 hours every week:

1) Streamlined Sales Funnel System
2) Client Relation Autopilot
3) Internal Productivity optimizer

You don't need more employees. You need the right systems that empower your current team to produce twice the results

...in half the time.

You'll eliminate 60% of the mind numbing work that's holding you back from substantial growth.

The stress of juggling a million tasks is gone, you focus on revenue generating activities, your employees thank you

Join the top 1% of founders leveraging automations to become a business of the future

Check my featured section to see see how you can do it too

Jake George

Ike Singh Kehal

Cofounder Synnc (B2B Creator Marketplace) | Social27 Event Tech | Trusted by Fortune 1000 customers

If you're an AI startup or enterprise brand — I built Synnc for you.

Synnc connects you with LinkedIn's most credible B2B creators: operators, builders, and executives with the audiences your buyers actually trust. 

No influencer fluff. Paid content that converts.

AI companies are spending millions on ads that get ignored. 
The ones winning are showing up in the feeds of decision-makers through voices they already follow. That's what Synnc does.

Customers include: Synthesia, Riverside, Microsoft.

The track record:
→ Co-founder & CEO, Synnc — B2B creator marketing for AI companies and enterprises. 
Powered by HiveGPT AI Agents.

→ Co-founder & CEO, Social27 — $12M ARR. Grew from 2 people to 150+ employees.
 Clients: Microsoft, UN, CapGemini, UW. 

→ Co-founder & CEO, HiveGPT — AI Agents for personalized B2B marketing at scale.
 The engine behind both Synnc and Social27.

→ 7+ years at Microsoft — partner programs, ISV/VAR channels, enterprise GTM.

→ Led a $60M+ acquisition as CEO of Indiabulls Retail.

Want to maximize B2B Distribution? 
Let's talk: hello@synnc.us

CEO, Enterprise AI, EventTech to accelerates sales and build community

Focus on meeting my customers needs for business acceleration with Virtual and Hybrid Events. 
Grow the team and keep them motivated and happy!! More at: http://social27.com

I watched a friend send out 100+ job applications last month.
Not a single callback.

Meanwhile, a Salesforce admin I know posted one breakdown of how she automated a reporting workflow.
Three DMs from hiring managers within 48 hours.

Same job market. 
Completely different approach.

Here's what's wild:
Her "content" was literally just her Tuesday afternoon.
↳ No fancy production
↳ No personal brand strategy 
↳ Just documentation of what she already does

The job market didn't break overnight. 
But the way people get discovered did.

Algorithms delete resumes. 
They amplify expertise.

The professionals I've been watching win right now aren't applying harder.
They're sharing what they already know — and letting opportunities come to them.

↳ Same skills they had before 
↳ Some earning $5-10K/month doing it 
↳ They just made their expertise visible

That shift is exactly why I built Synnc.

Ike Kehal

I've been obsessing over why
some AI startups hit $2B in revenue
while others burn through $450M and disappear.

The pattern? 
It's not the tech.

The failures all share one thing: 
They built first. 
Then hoped distribution would follow.

The graveyard:
Builder.ai: $450M raised. Bankrupt May 2025. 
↳ Claimed $220M revenue. Real number: $55M.
↳ No distribution. Just 700 engineers pretending to be AI.

The winners:

Cursor: $2B ARR. Fastest SaaS ramp in history. 
↳ Built inside the tools developers already used. Zero marketing spend.

Notion: $600M ARR. 50%+ of Fortune 500.
↳ 100M users first. AI features second.

Claude Code: Launched May 2025. $500M run-rate by September. 
↳ Shipped inside ecosystems developers already lived in.

The pattern nobody talks about:
Cursor didn't build a better model. 
↳ They built where developers already lived.

Notion didn't rush AI. 
↳ They captured the audience. Then monetized it.

Claude Code didn't need a go-to-market. 
↳ The users were already there.

Distribution-first means: 
→ Your tech rides existing behavior 
→ Growth comes from ecosystems, not ad spend 
→ Your moat is relationships, not algorithms

This is exactly why we built Synnc. 
Corporate creators already have the audience and the trust. 
Brands just need the connection.

What's your distribution strategy?
(Just building better tech isn't an answer)

I've been staring at this chart for 20 minutes.
Anthropic dropped new labor market research. 

The blue area is what AI can theoretically do across every job category. 
The red area is what's actually being used.

The gap is the story.

Management. Business & finance. 
Legal. Office & admin. 
↳ AI could automate a significant share of the work 
↳ Actual adoption is a fraction of that

This isn't a blue-collar disruption story. 
It's a white-collar one.
And most white-collar professionals haven't felt it yet.

Two ways to read this chart:
↳ If you're a founder, that gap is your market. 
The underpenetrated categories are a roadmap. 

↳ If you're a professional, the question isn't whether AI reaches your role. 
It's whether you're ahead of it when it does.

The professionals who are already sharing how they work, what they know, and how they think?
They're not just ahead of the curve. 
They're building audiences while the gap still exists.

Agree?

I pay my employees to post on LinkedIn.
here's why…

Last year, our mkt team built an employee advocacy program.
Polished graphics. 
Approved messaging. 
A Slack channel begging people to share.

Result:
Out of 40+ employees, three posted.

Those posts? 
Corporate copy-paste from someone doing their manager a favor.

Action:
I stopped asking and started paying.
↳ $300-500 per post 
↳ Their voice, their angle 
↳ No scripts. No "approved messaging."
Result? 4x our brand page performance.

And...
Why stop at your own employees?

↳ That Salesforce admin who knows your buyers' daily pain? 
↳ That Microsoft engineer in the same Slack communities as your prospects?

Not on your payroll. 
More credible than your marketing team. 
90% cheaper than your agency.

This is exactly why we built @Synnc.
Connecting brands with corporate creators 
— professionals with real expertise and real audiences.

Not influencers. 
Not agencies. Practitioners.

PS — LinkedIn killed their own Employee Advocacy tool. 

Agree?

BREAKING: 
I watched Block's stock jump 24% yesterday.

Because they fired half their company.
4,000+ people. Gone.

Jack Dorsey didn't sugarcoat it either:
↳ We're reducing Block from over 10,000 to just under 6,000" 
↳ Smaller, highly talented teams using AI to automate more work
↳ Within the next year, the majority of companies will reach the same conclusion

And Wall Street rewarded it instantly.

Here's what nobody's talking about though:

Those 4,000 people didn't lose their jobs because they were bad at them.
They lost them because the work itself changed.
The companies that survive this aren't just cutting headcount.
They're rethinking what "team" even means.

↳ Fewer full-time roles 
↳ More fractional expertise 
↳ AI handling the repetitive work 
↳ Humans handling the creative, strategic, relationship-driven work

The survivors of 2026 layoffs 
will be the ones who went public with their knowledge
⟶ before the pink slip.

................................
➔ Look into Synnc.us
The first corporate creator network

BREAKING! The best news I read this week, 
isn't about my company.
Anthropic just launched the Claude Marketplace!

Enterprises can now access Harvey, Replit, Snowflake and more directly through Claude, existing spend counting toward it.

Distribution problem: solved?
But here's what most are missing:

Every partner on that list works because of the domain expertise baked in, not the UI.
↳ Harvey works because lawyers trained it 
↳ Rogo works because finance pros shaped it 
↳ Replit works because developers validated it

The AI is the delivery mechanism. 
The professional expertise is the product.
That's the entire corporate creator economy in one launch.

The enterprises winning in 3 years:
Won't be the ones who bought the most AI tools.
But the ones who turned their internal experts into the product.

Agree?

That's why we built Synnc

PS: If you want to master Claude, save these.
(Thanks to Rubén Domínguez Ibar for this list)

▫️ Claude Opus 4.6 Explained → https://lnkd.in/eTmftGgr
▫️ How Serious Builders Co-Work With Claude → https://lnkd.in/ei7n7s32
▫️ The Claude Cowork Setup That Actually Works → https://lnkd.in/d6iF42qq
▫️ 10 Claude Cowork Workflows That Actually Work → https://lnkd.in/dipzF2MP
▫️ Every Way to Make Slides with Claude in 2026 → https://lnkd.in/ekKaqTFP
▫️ Claude in Excel: 30 Prompts to Audit Any Financial Model → https://lnkd.in/eXGBd2Sz
▫️ Claude Cowork: The Tool That Triggered a $285B Software Selloff → https://lnkd.in/dWvrqqCc
▫️ Claude Can Now Do SEO Like a $10K/Month Agency (For Free) → https://lnkd.in/eT3qsxgD
▫️ Sonnet 4.6 Breakdown → https://lnkd.in/ef6hWdRz

I just read Anthropic's guide on building Skills for Claude.
One stat stopped me cold.

Without a skill: 
15 messages. 
3 failed API calls. 
12,000 tokens. 

With a skill: 
automatic execution. 
0 failures. 
6,000 tokens.

Same workflow. Half the cost.

Here's the mental model that clicked:
MCP gives Claude tools. 
Skills teach Claude how to use them.

The setup takes 15 minutes: 
↳ Create a folder 
↳ Add a SKILL.md file
↳ Write your workflow in Markdown 
↳ Claude executes it automatically. Every time.

Two things worth knowing before you start:
↳ Skills are an open standard 
↳ Anthropic built a skill-creator tool that walks you through it step by step

Start with your most repetitive agent workflow. 
The one you keep re-explaining from scratch every session. 
That's your first skill.

What would you automate first?

Claude Skills Guide 

I hired an AI PM last month.
didn't look at her resume once...

Here's what I looked at instead.

Her LinkedIn.

↳ A post on how she cut API costs 70% using token optimization 
↳ A case study on the observability stack she built in production 
↳ A 5-minute Cursor demo that got 80K views

She had 3 competing offers before we even called her.
This is happening everywhere right now.

Recruiters are skipping resumes. 
They're saving LinkedIn posts instead.

The AI PMs getting recruited fastest aren't applying.
They're posting.
↳ Their eval frameworks 
↳ Their debugging workflows 
↳ Their AI-enhanced productivity systems
And companies are paying 40% premiums for them.

The best part?
These same PMs are earning $5-15K/month in consulting from the content they post.

Your next role won't come from an application.
It'll come from the post that proves you can do the job.

This is exactly why we built Synnc
connecting professionals who build in public with brands who need real expertise.

Agree?
Comment / Follow for similar content.

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