LAUNCHMOB

Launch Marketing agency for early-stage startups. 

We help startups launch campaigns that win new customers

What we do:
> find your dream customer (target account list)
> craft messaging that resonates (redo your messaging and website)
> create something that grabs their attention (campaign + creative)
> start conversations with them (run launch campaign)

Companies we've worked with:

1. Thinkific -> EdTech unicorn IPO
2. AgiCap -> FinTech SaaS with $100M+ ARR
3. data.ai -> Mobile data with $150M+ ARR
4. Glide -> Series A, YC backed 
5. CareerPlug -> HR Tech B2B SaaS platform
6. LearnWorlds -> Series A, EdTech SaaS
7. MentoCloud -> HR Tech SaaS
8. Codified -> Data Governance SaaS, raised $4M (Madrona)
9. Sagebrush -> Healthcare Clinics and Pharmacy, $60M annual revenue
10. Deep Origin -> Deep Sciences Platform
11. LexSelect -> Legal A.I. 
12. Skaled - RevOps Services

See pricing: www.TheLaunchMob.com

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As Co-Founder, I'm responsible for:

- Sales: Closed our first 15 B2B contracts worth over $250k 
- Marketing: Created "How They Launched" podcast based strategy that won 6 new deals
- Team: Recruiting fractional talent, agencies and subcontractors
- Product: Built our initial "LAUNCHMOB LAUNCH" framework


Tech Stack: 
- TOFU: Keyplay, Clay, Closely, Taplio
- Web: Webflow, Google Tag Manager, Hotjar
- Process: Miro, Asana, Funnelytics
- Sales: Hubspot, Fathom, Closely

Co-Founder

CustomerEducation.Org

I started, built, and sold a B2B community as a side hustle over 7 years.  

This is where I really learned the craft of community and content development. 

Key stats: 
- Grew member base from 0 to 6,000+ members in 21 countries
- Members represent 1,100+ leading companies and exchange 500,000+ messages on platform
- Grew sponsorships to $40k/year
- Built community using a $100 no-code tech stack (Slack + Zapier + Airtable + Mailerlite)

Founder + Head of Community

data.ai

data.ai was a $150M ARR data AI company, got aqcuired in 2024 

Their clients are the top 2,000 mobile apps in the world - like Peleton, Twitter, Snap, Candy Crush, Zynga etc 

What I did there:

1. Fine tune the programmatic SEO engine that drives 14M website visits across 56k pages 

2. Redesign website positioning, headline and CTAs, and early A/B testing result showed a $40k revenue impact 

3. Created and managed a social media posting calendar across 3 channels and 4 languages

Marketing Director

Thinkific

Led an incredible team of 16 content and community builders who were responsible for:

✍🏽  Content (blog, YouTube) driving over 1M visitors / quarter
✊🏾  Community, managing 51,000+ members and over 100K interactions per year
🌶  Social Media, with a combined following of 50,000 creators and entrepreneurs
🧠  Academy with over 200,000 active students across 25+ courses
📢  PR, IR and Corp Comms - all things wire and news media

Manage a $1.7M annual budget and P&L

Marketing Director, Content & Community

Responsible for:

🧠  Our Academy, with over 200,000 active students across 25+ courses

✊🏾  Our customer community, managing 31,000+ members and over 100K interactions per year

Managed a $1.1M operating budget and P&L. Lead an incredible team of education and community builders (8 people)

Sr Manager, Academy & Community

Share Koro

Bootstrapped a consumer eLearning business to $250K in revenue in 18 month with my best friend 

- Share Koro makes online courses on investing in the Bangla language. 
- We built a YouTube channel with 200k+ subscribers and 10M views
- Graduated 5,000 students from our programs and delivered 400,000+ hours of learning 
- Sold my share to the co-founder

Gong.io

□ Creator of Gong University, Gong 101 Video Series and Gong Masterclass

□ Made 100+ videos and 20+ webinars with over 25k views 

□ Worked with 200+ sales managers on designing revenue offense strategies 

□ Worked with 70+ customer success managers on running revenue defense

Head of Customer Enablement

Addepar

□ Customer Education: Design and deliver training programs for a global user base

□ Technology: LMS, e-learning courses, certification, in-app and webinar programs

□ Analytics: Take a data driven approach to measure outcomes and run a training P&L 

□ Content: Work with trainers, instructional designers and writers to produce knowledge base and training content

□ Training: 500+ hours of training experience, coaching 900+ advisors

Customer Education Manager

□ High complexity B2B SaaS implementations and project management
□ Managing client expectations, handling escalations and project scope creep
□ Consulted Single Family Offices, MFOs and RIAs on data onboarding, configuration and API integrations
□ Investment portfolio analysis, consolidated reporting and alternative investment management

Deployment Manager

H&R Block

I met the CEO of H&R Block at my college bar, and talked my way into an interview. He had recently hired a young, 32-year-old McKinsey consultant called Kush. Kush gave me a call, saw a little of himself in me and decided to hire me on the spot. 

Here's what I did:

- Business Development / Mergers & Acquisitions - Block had $1B+ of cash, so we looked for acquisition targets and presented business case to senior management. Literally not a single deal went through. 

- Strategy - In-house strategic consulting for different business units within Block. We looked at what Block should do with their 11,000+ retail outlets for the 9 months of non-tax season. 

- Research – Pricing research for in-store retails services. Looked at competitor, industry and market data. Presented recommendation of pricing and impact to bottom line directly to the CEO and other execs

Sr. Analyst | Corporate Strategy and New Business Development

Stealth Startup

Here are a few of my entrepreneurial attempts between 2019 & 2024:


Wins ✅

1. Share Koro (2019-2023) - built and scaled a consumer eLearning business to $250K in revenue in 18 months

Misses ❌
2. Commone (2022) - Tried to build a private search for Enterpise knowledge management
3. PeterPen (2023) - Tried to launch an A.I. assistant for allied health care workers (physios, chiros etc)
4. Dhanno (2024) - Tried to launch a wealth management platform for Global Indians investing back in Indian markets

Co-Founder (2019-2024)

Goldman Sachs

Hustled my way into an internship at Goldman. 

I was from a "no name" school, so I learned how to network my way to land this gig. Here's how I did it:
- Reached out to every alum from my college who worked on Wall Street
- Reach out to every fraternity alum that worked on Wall Street
- Asked for a 10 min call or a referral to someone who worked at Wall Street
- Studied really, really hard for the interview (over 100+ hours)

I landed an internship on Akila Raman's desk (now the COO of Goldman Sachs)

Here's what I did: 
- Modeled derivatives focusing on interest rate risk management for corporate and institutional clients
- Did debt portfolio analysis, modeling trade scenarios, participated in live trade executions
- Created marketing material containing macroeconomic environment updates and information on different derivative products like swaps, caps, rate-locks

Investment Banking Summer Analyst

I help brands build epic community & content → 4 X SaaS Unicorns | 5M+ views on LinkedIn | 10M+ on YouTube ... Follow to shortcut your content journey

If you're reading this, good chance my content resonated with you 🙏🏽

Hit FOLLOW for no-fluff ideas on how to scale yourself 🔔

I write 1 post everyday on:
> maketing
> startups
> personal brand

My content has generated:
10M+ views on YouTube
5M+ views on LinkedIn
200k subscribers on YT

🤞🏽

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MY WORK:

I've helped 4 startups become Unicorns:

Gong - sales tech
Thinkific - ed tech 
data.ai - mobile data
Addepar - wealth tech

Here's how 👇🏽

I help SaaS companies with: 

GROWTH 
launch growth marketing experiments across Outbound, Dark Social, Funnels etc

COMMUNITY
grow a category-leading community that drives engagement  (1 → 200k members)   
 
CONTENT
publish content that drives traffic  (1 → 1M visitors / quarter) 


—-

MY SIDE PROJECTS: 

📹 bootstrapped an e-learning company to $250k in revenue as a side hustle 
🎥 built a YouTube channel to 200k subscribers with my childhood best friend
👾 built and sold CustomerEducation.org, the largest community of B2B customer enablement professionals

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OUTSIDE: 

On the side, I make terrible websites like FreeZoomBackgrounds.com 🙈

I love eating chips, hiking and cold ocean dips

I did an Ironman once and came in last place

My friends call me Sumo

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🛠  My Tech Stack:

Creative - Canva |  Miro | Figma  
Marketing - Mailerlite | Hubspot | Airtable | Notion
Revenue - Gong.io | Clari | Outreach | Avoma | Fathom
Education - Thinkific | Kajabi | Podia | Skilljar
Community - Insided | Tribe | Circle | Slack
Enablement - Candu | Intercom | Zendesk
Websites - Carrd | Webflow
Video - CapCut | Camtasia
Apps - Adalo | Glide | Softr | Pory
Wealth - Addepar  | Mint | Monarch
AI - MidJourney | Jasper | Writer

---

🤖  Keywords For Robots:

Growth Marketing
Community
Content Marketing
Customer Education
Knowledge Commerce
No Code
Chips
Guacamole
Canada
Comfy Pants
Taylor Swift
Oh wait.. you’re reading these?

Now click FOLLOW and get back to work

🤞🏽

I cannot believe this is an official US govt website.

America now has pricing tiers

1. Bronze - $100k H1-B
2. Gold - $1M 
3. Platinum - $5M 

Some are calling this CaaS - Country as a Service 

🙈

P.S. The website literally looks like a "SaaS template" from Wix.
Don't miss the AI generated bald eagle video clip at the bottom

Sumeru 'Sumo' Chatterjee 🤞🏽

Growth @ Coworker.ai | ex-Gong, Addepar and other unicorns

I was on the H1-B visa years ago. 

It's the hardest deal in the USA for high skilled immigrants

- Convince employers to sponsor a lottery ticket for you
- Pay the same taxes, don't get any of the benefits
- A job loss triggers an immediate deportation 
- Accept lower wages because of the visa
- Visa is controlled by your employer

It's hard to keep sane when you are one layoff away from being deported. 

And today, the govt just announced a fee hike from $700 to $100,000, effectively killing the program

There is a lot of uncertainity and panic amongst high tech workers. 

One option to consider immediately: 

Canada 🇨🇦

There are a few paths: 

1. Express Entry
2. Provincial Nomination
3. 1 Year stay and return to USA via L1

I moved from USA to Canada 4 years ago because the H1-B was impossible to live with peacefully. And today it got a whole lot worse

---

Few ways this may play out: 

1. Students choosing the USA for higher education will rethink their decisions if they can't work here after

2. More folks choose near-shoring in Canada and Mexico

3. Talented folks go back / stay home to build domestically

4. Pushback from Tech lobby forces govt to rethink the decision

---

If you know anyone going through the H1-B hell and wants to chat Canada, send them this post and ask them to DM me. 

🤞🏽

I’ve written over 500 posts on LinkedIn with 6M+ views

Not a single one used A.I. (and never will)

here’s why 👇🏽

There are 3 reasons why I write on LinkedIn:

1. To help me think clearly (60% of the value)
2. To communicate my ideas to others (10% of the value)
3. To find and connect with like minded people (30% of the value)

ChatGPT could definitely write my posts and comments, but it will hurt me in all three areas.

Let’s break it down:

1. Thinking clearly

This is the most valuable part of writing online. Writing means you have to sit down and get clear on what you want to say. It forces you to take a stance - one way or the other - about your ideas. It forces you to distill random thoughts and ideas into coherent, structured prose. Repeatedly doing this is invaluable. Most business (sales, marketing, eng) is ultimately writing effectively. Writing on LinkedIn makes me better at my job

Using AI to write your posts robs you of this practice.

2. Communicate effectively

When you post online, each posts becomes a mini lesson in how to communicate your ideas. You get instant feedback on your writing, which ones resonate, which ones are helpful and how people consume and understand ideas. That feedback helps make your next writing clearer and more effective. Over time this changes how you communicate ideas altogether, and one day you find yourself a clear writer and communicator.
When you’re using A.I. to write, you are avoiding this learning loop

3. Finding like minded people

When you post what’s really on your mind, you’ll be surprised at how quickly you find and connect with others who are thinking the same thing, but just didn’t find the time / words to write about it. These connections are what make the internet invaluable. You can find connection over literally anything, from broad topics to the most obscure (looking at your Reddit). These connections go on to become clients, bosses, employees and co-founders. It’s the whole point of writing on a social network.

Outsourcing your writing to A.I. means the ideas you are posting aren’t really yours. So the connections that come from it will always be weaker, because you don’t have conviction over them = you wont feel the attraction to someone else who shares them

--

This is why I will never use AI to write my LinkedIn posts. 

Because I write to become a better thinker

Lots of great use cases for AI (I work one - Coworker.ai), but doing my writing isn't one of them.

There's a new startup metric in town. 

And no, it's not ARR, MRR, or ARPU

This is a metric that was very popular for public companies to track, but I'm seeing it more and more in startups. 


The metric - 
ARPE average revenue per employee. 

There are dedicated leaderboards for this, the AI Lean Leaderboard, which exclusively track startups that are doing a lot of revenue with minimal headcount. 

I think there are two factors going on here. 

1. VC driven pull. 

VCs are expecting startups to do more and more with less headcount, because headcount and employees tend to be the biggest cost center for a startup. 

2. AI driven push 

With AI, thereis  a quiet but very strong expectation that startups are now doing more with less people. 

So average revenue per employee is becoming more important. 

The benchmark for what good ARPE for a Silicon Valley startup looks like about $1M revenue / employee / year 

Which is about 5-6x ROI on the headcount. 

There are two aspects that help increase ARPE 

1. good GTM tools and plays 

E.g 
Clay for GTM plays 
Intercom, to deflect support tickets. 

2. Good internal context so they can move quickly and make decisions faster. 

E.g So these might be tools like Coworker.ai  Glean or Notion AI

we'll see how this plays out, but I think average revenue per employee is going to be something that startups continue to track.

Instead of AI, what if it was CI?

Artist Holly Herndon proposes a simple reframe:

Instead of artificial intelligence, call it collective intelligence:

“AI is aggregated human intelligence… emphasizing the collectivity (something built on the commons), over the artificiality of it (a feat of technology), gives us an entirely new way to see, perceive and relate to the technology.

I recently read an incredible article titled,
How I Stopped Worrying About AI and Learned to Value My Humanity by Sari Azout

Here's what hit me:

1️⃣ Reality Gap 1:

Perception: We think AI means more leisure.

Reality:
AI expands the possibilities of what one can (and is expected to do) - creating more work, not less. Before washing machines: people washed their clothes a few times a year. After, it became a weekly task

-

2️⃣ Reality Gap 2:

Perception: AI will replace expertise.

Reality:
The nature of expertise changes from doing the work to guiding and evaluating the work. It’s knowing what is worth prompting, which is another way of saying knowing what’s worth doing.

-

3️⃣ Reality Gap 3:

Perception: Machines are becoming too human

Reality:
Humans are becoming too machines.
“The idea that our worth can be counted in KPIs and OKRs is a modern invention. In ancient Greece, the good life was defined by wisdom and contemplation.”

-

The Big Shift: Become "unLLMable."

It’s hard not to feel the creeping anxiety when a machine can produce in seconds what used to take you days or months.

What AI can't do it's work from your lived mess: 
Failures, obsessions, risks.

That's irreplaceable.

Highly recommend this article in full.

Good luck in this new reality 🤞🏽

ICONIQ's just dropped it’s State of Software 2025 report.

In 73 pages, it shares data on growth, operations, and how AI is shifting B2B software.
I read through it to pull out the main points for you. 

Here are my top 10 learnings: 🧵

#𝟭. 𝗩𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲𝘀 𝗖𝗹𝗶𝗺𝗯
After 15 quarters of decline, public software valuation multiples have climbed to 12x vs 6x (for high growth companies) in 2022. Still below the 2021 peak of 15-20x, but the line seems to be ticking up.

#2. 𝗧𝗵𝗲 𝗥𝘂𝗹𝗲 𝗼𝗳 𝟰𝟬 𝗜𝘀 𝗕𝗮𝗰𝗸
Valuations correlate most strongly with Rule of 40* today - correlates 49% to public multiples, stronger than growth (20%) or NRR (12%),
But here’s the kicker: a 1% uptick in revenue growth is worth 𝟮× 𝗺𝗼𝗿𝗲 than a 1% uptick in free cash flow margin. Translation: investors want efficiency, but they still pay up for growth.

#𝟯. 𝗙𝘂𝗻𝗱𝗶𝗻𝗴 𝗥𝗮𝗺𝗽𝘀 𝗨𝗽:
Private AI company funding in 1H 2025 reached $377B, more than all of 2024. Deal counts hit 10,494, with average sizes at $35.9M, doubling YoY. Also, 94% of public earnings calls mention AI, with a focus on agent-based tech driving B2B interest.

#𝟰: 𝗧𝗲𝗮𝗺𝘀 𝗮𝗿𝗲 𝗖𝗵𝗮𝗻𝗴𝗶𝗻𝗴
Headcount efficiency, measured by ARR per FTE, is trending up
GTM Is Flipping Toward Post-Sales - AI companies are hiring less sales and more post-sales and FDE roles vs non-AI peers. Focus is on driving adoption and usage.
Offshoring is at 30% of workforce (up from 24% YoY), especially in engineering and support

#𝟱. 𝗥𝗶𝘀𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗙𝗗𝗘
AI startups are hiring more post sales folks (CS, Ops) vs Sales folks compared to non-AI companies
One example of this trend is the rise of forward-deployed engineers, who allow AI companies to bridge the gap between product capability and customer outcomes

#6-9 in the pdf below

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Will link the original report in the comments. 

Let mw know if I missed anything

Taplio

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