Hassan W. Bhatti

Superhuman

Co-founder & board member

Next Wave NYC

A unique partnership of outstanding operators and tech founders, fostering collaboration, growth, and shared success in investing in the next generation of companies.

Before I was part of The Community Fund from 2020-2024.

Investment Partner 

Snow Angels

Deploying 7 figures every year in exciting start-ups

Founding Partner

Creative Destruction Lab

Mentoring startups in the Data, AI, and Compute space.

Associate Fellow

Various

- Incubated and co-founded Semantic Health (raised 6mm+ and secure multiple enterprise deals) and then successfully sold to AAPC
- Part of one major crypto project as a DAO member - Had a lot of fun and learned a lot
- Invested in few early stage companies across the globe 
- Restructured my family law firm and added a new tech corporate practice

Incubations & Investments

Snowflake

Joined Snowflake when they acquired my start-up CryptoNumerics. 

Worked across Product, Partnerships, and 0-1 BD focused on Data Marketplace, Data Monetization, and Native Apps.

Product & Partnerships - Data Marketplace 

CryptoNumerics

I got a chance to work with awesome people, build and sell an industry-defining product, and reshape data privacy & sensitive data usage at F1000 companies.

Co-Founder (Acq June 2020 by Snowflake)

Developed Canada's first deep-tech incubation and talent investment program. Notable examples from my portfolio: www.proteinqure.com and otilumionics.com

Venture Manager | Investments in Quantum Space 

Iris Automation Inc

Worked on everything from fund-raising to building the product beta.

Head of Growth (First biz hire)

Snowflake Data Marketplace| Co-founder@CN (acq Snowflake)| Investor@Communityfund| I share insights on building start-ups and personal growth

I love building companies. Over the years, I’ve started, scaled, and exited multiple ventures—some bootstrapped to multi-million ARR, others acquired by industry leaders like Snowflake (Cryptonumerics) and AAPC (Semantic Health). 

I was also fortunate to be part of Snowflake Pre-IPO to post-IPO growth phase - seeing what scaling looks like in the product and sales orgs. 

Right now, I’m deep in AI, co-running the world’s largest AI newsletter and launching new ventures at the intersection of AI and enterprise applications. 

I also invest actively—both through a fund and my own syndicate—backing founders who are building category-defining companies.

Always open to great conversations, whether it’s about building, investing, or the future of AI.

Key focus areas:
- Native Apps (2023-Present)
- Global Lead for HCLS Vertical (2021 - 2023)
- Data Monetization Product and 0-1 growth strategy  (2021 - 2022)
- Working across all industries (2020 - 2022)
- Launched EMEA and APAC (2020-2021)
- Cryptonumerics integration (2020)

Exploring things in the AI space | ex-Snowflake | 2x exited founder - CN (acq Snowflake) | Investor@Nextwave

Today: Had the pleasure of speaking with the graduating class at FAST-NUCES, Islamabad Campus. 

I shared some lessons from my personal and professional journey and walked away inspired by the energy, curiosity, and ambition of the students in the room.

It’s always refreshing to connect with the next generation of builders and dreamers. 

A big thanks to the wonderful hosts for having me!

Looking forward to seeing where this talented group goes next and hopefully crossing paths again in the future.

Thanks to Grayhat and FAST-NUCES, Islamabad Campus for organizing.

Don't wait for motivation.

Take action. Motivation follows.

Had great fun interviewing Marc Benioff, CEO Salesforce on the Superhuman AI podcast.

Link in comments to the full episode.

The most important skill you've never been taught: Street Intelligence

Think about it: 

School gives you a syllabus but life doesn't come with instructions.

While academic excellence matters, true success demands both book smarts and street smarts. 

Master these 5 critical skills to thrive in the real world:

1. Sales - Learn to communicate value, whether selling ideas or products
2. Storytelling - Transform complex information into compelling narratives
3. Relationship Building - Create genuine connections that open doors
4. Ambiguity Navigation - Make decisions with incomplete information
5. Financial Intelligence - Master money management and investment principles

Most of the top performing people I've met weren't necessarily top students. They excelled at reading people, adapting to situations, and finding creative solutions.

Here's an exercise for you: Pick one skill from the list above. Spend 30 minutes today researching practical ways to develop it.

If you're building groundbreaking AI, this is your moment

I am actively investing in and amplifying revolutionary AI projects

If you're: 

- Building the next breakthrough AI solution
- Developing unique applications of existing AI technology
- Creating entirely new AI categories

DM me.

Not seeking an investment? 

If I love what you’re working on, I’m happy to get it featured in Superhuman, the world’s largest AI newsletter, reaching our extensive network of tech innovators.

Let’s get your work seen.

Overnight success 👇


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(Picture credits: Unknown)

AI evolution is wild.

In 2022, AI models handled 30-second tasks. 

Fast forward to today: they're autonomously solving hour-long problems.

The acceleration is staggering:

Task complexity doubled every 7 months initially. Now it doubles every 4 months

This isn't linear growth - it's exponential transformation

If this keeps up, we’re looking at:

2026: AI agents managing complex 2-hour tasks
2027: Complete day-long workflows
2028: Week-spanning projects
2029: Month-long strategic initiatives

What this means for us:

• Teams expand through AI augmentation, not just hiring
• Workflows evolve to leverage autonomous agents
• Leadership focus shifts from execution to strategic delegation

This isn't "speculative futurism". It's a timeline you can plan against.

And you can already see firms introducing these changes.

As a leader: Start preparing your teams for this shift from "doing" to "delegating"?

As an employee: Start identifying processes that could be handled by AI agents.

Direct customer access is the lifeblood of early-stage startup success. 

42% of startups fail due to lack of market need. 

Indirect go-to-market strategies often mask this.

When your go-to-market strategy relies on intermediaries, you're building on unstable ground:

1. Customer feedback becomes diluted and delayed, preventing rapid iteration
2. Market validation takes longer, burning precious runway
3. Product-market fit remains theoretical rather than practical

The solution is simple but crucial: 

Establish direct channels to your end users from day one. Your survival depends on it.

Snapshot of some key start-up metrics 👇

OpenAI might be making a $3B move (and it's not about chatbots.)

They're acquiring Windsurf (formerly Codeium), a powerful AI coding assistant.

This isn't just a feature grab. It's a strategic ecosystem play.

Take a look at their acquisition pattern:

Windsurf → Revolutionizing software development workflow
Global Illumination → Transforming creative and gaming experiences
Rockset → Powering real-time data infrastructure
ChatGPT Enterprise → Unifying the entire ecosystem

The master plan: Vertical integration for the AI era.

OpenAI isn't settling for being a model provider.

They're architecting the future operating system of work. Where teams collaborate with AI agents connected through shared tools and collective intelligence.

While GitHub Copilot (Microsoft) and Claude (Anthropic) are focused on AI co-pilots, OpenAI seems to be building the full flight deck.

We're slowly inching towards powerful ecosystem.

What's your take? 
Will this integrated AI ecosystem approach reshape how we work?

Been spending most of my time these days building and investing in the AI space and honestly, it’s such an exciting time to be here.

If you're

- Working on something in AI
- Thinking about starting something 
- Or just love geeking out on the space

I’d love to chat. Always up for swapping ideas or grabbing a coffee.

DMs are open!

AI Agents tried running a company. 

The results are both humbling and hopeful.

Carnegie Mellon University recently ran a fascinating simulation: a virtual company staffed entirely by AI agents, each assigned roles like CEO, marketer, and engineer. 

The goal? Test whether AI can autonomously run a business.

Here’s what happened:

• Simple tasks turned into blockers - Routine actions like dismissing a pop-up window brought operations to a halt.

• Strategic planning fell short - When challenges appeared, AI agents couldn’t adapt or improvise the way humans do.

• Teamwork was clunky - Lacking intuition, agents misunderstood context, causing breakdowns in communication.

But this wasn’t a failure. It was a reveal. 

This experiment highlighted a key truth: 

AI isn’t a replacement for people. It’s a multiplier.

AI agents can process, analyze, and execute at speed. But humans bring foresight, judgment, and creativity to the table.

(It can help you fly faster, but someone still needs to chart the course.)

The future of business is collaborative.

Where do you see AI making your team stronger, not smaller?

Mental strength grows like muscles - through resistance

The most innovative solutions often emerge from our biggest challenges. When faced with adversity, we develop:

• Stronger problem-solving skills that transfer across all aspects of life
• Enhanced resilience that builds our professional adaptability

Remember: 

It's not about avoiding obstacles - it's about transforming them into stepping stones for growth.

Next time you face a challenge, pause and ask yourself: 
"What can I learn from this?" The answer might surprise you.

What's your approach to handling unexpected challenges?

I wish someone taught me this about mentorship sooner

The secret to accelerating your career isn't just finding a mentor - it's building a strategic mentorship network.

1. Strategic Mentor Selection

• Target professionals who are 2-3 steps ahead in your desired path
• Focus on individuals who can actively invest time in your growth
• Look within your existing professional and social networks first

2. Building Meaningful Connections

• Create two-way value exchanges to strengthen mentor relationships
• Schedule regular check-ins that respect your mentor's availability
• Demonstrate clear progress and implementation of received advice

3. Developing Your Personal Board

• Cultivate relationships with mentors who challenge your perspectives
• Select advisors with complementary expertise and industry knowledge
• Ensure each mentor serves a specific purpose in your development

Think you're not in sales? Think again.

Every interaction is a sales opportunity - whether you realize it or not.

• Landing that dream job? You're selling your expertise
• Hiring top talent? You're selling your vision
• Pitching to investors? You're selling possibility
• Leading your team? You're selling direction

Here's the truth: Sales isn't about products.

It's about ideas. Vision. Change.

Sales is pure persuasion - the art of moving people from where they are to where they could be.

Ask yourself: What transformative idea are you not selling because you don't see yourself as a salesperson?

Master the art of persuasion. It's the difference between having ideas and making them reality.

Your "Please" and "Thank You" to ChatGPT costs millions in energy!

OpenAI CEO Sam Altman recently shared that these courteous interactions are costing the company tens of millions of dollars annually in bills.

Why? 

Because every extra word requires additional processing power, leading to higher energy consumption.

It’s a wild reminder that even small habits shape the future of how we use AI.

As models get smarter and greener - These early quirks will be part of the story we laugh about later.

Today: energy bills.

Tomorrow: AI that’s faster, more efficient (and just as polite)

Want to know something crazy?

An AI is beating Pokemon Blue by itself.

Not scripted. Not guided.  Just Gemini Pro 2.5 watching the screen, thinking about what to do next, and pressing buttons.  One move at a time. 

Here’s what makes this so cool:

- It sees the game through screenshots
- It reads what’s going on, where the player is, what Pokémon it has
- It decides what to do, presses a button, and waits to see what happens
- If it gets stuck? It can ask another AI agent for help finding the way

Sometimes it walks into walls.
Sometimes it makes a brilliant play.
Every time, it’s getting a little smarter.

It’s not perfect. And that’s the point.

Because this is how breakthroughs happen. Not in flawless demos, but in fascinating and curious experiments.

Stop trading your irreplaceable hours for tasks that don't scale.

Money can be earned back, but time is gone forever.

Consider your highest-value activities. 

Are you spending precious hours on tasks that could be delegated or automated?

Here's a practical example:

If you earn $100/hour in your profession, spending 2 hours mowing your lawn effectively costs you $200. 

Plus the opportunity cost of not using that time for:
• Professional development
• Strategic thinking
• Quality time with family

The exception? 
When these activities bring you joy or mental clarity. Then they become investments in your wellbeing.

Here's what I suggest if you're looking to improve your time management:

List your weekly activities and evaluate their true opportunity cost. 

Eliminate, delegate, or outsource the low-value tasks.

You should recognize that time is your most valuable asset. Invest it wisely.

Using AI at work might be hurting your reputation 

Not because it's wrong but because people still don't get it.

Recent data reveals a workplace paradox: 

People who've never used AI often view colleagues who use AI tools as less competent.

Hiring managers admit discriminating against candidates who mention AI usage in interviews.

But those with firsthand AI experience are much more likely to support AI adoption.

What drives this disconnect?

Many organizations mischaracterize AI as a shortcut rather than a productivity multiplier.

I recently did a podcast with Marc Benioff where he shared how Salesforce paused engineer hiring after AI tools helped their team achieve 30% productivity gains.

The real challenge is trust, not technology.

Leaders need to focus on:

• Implementing organization-wide AI literacy programs
• Creating clear AI usage guidelines
• Fostering open dialogue about implementation

What do you think about using AI at work?

Taplio

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