Hassan W. Bhatti

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 last 10 years, I’ve started, scaled, and exited 4 ventures—some bootstrapped to multi-million ARR, others acquired by industry leaders. Additionally - 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 building/researching in the Memory and AI agent space. 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.

Founder roles currently (2024-Present):
- Superhuman AI (Co-leading fast growing media company)
- Stealth Co (Something in AI)

Founder roles previously (2017-2024):
- CryptoNumerics (Acquired Snowflake)
- Semantic Health (Acquired AAPC)
- Software Services business (Acquired by a family business) 
- Law Firm (Rebuilt and grew family law firm)

Previously worked at (2015-2024):
- Snowflake (Product and GTM roles)
- Iris Automation (1st Product and Biz hire)

Education:
- 2010-2015: BSc in Physics and Economics at University of British Columbia on a full ride scholarship 
- 2020-2023: LLB with Upper Second Class Honours (Grade 2:1) from University of London
- Multiple certifications in AI, business, and software from Uoft, Harvard, and other programs

Product & Partnerships - Data Marketplace 

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)

$10M ARR in under a year with a team of less than 10 people.

We sat down with co-founder of arcads AI, Romain Torres, to figure out how they scaled so fast and why AI influencers are no longer just a "cool gimmick."

If you want to see how marketers are winning unfairly with AI-driven content, this is an episode you can't miss.

Watch the full episode here: https://lnkd.in/eKRC7Gws

Building | 2x exited founder (acq Snowflake) | Start-up to Post-IPO | Investor@Nextwave

Alex Banks

Building a better future with AI

Alex Banks is a founder, creator and investor. He reaches over 1 million people on social media each week with insights into the world of artificial intelligence (AI).

He is the founder and writer of The Signal, a weekly newsletter that cuts through the AI noise to over 55,000+ readers.

Alex is also an active early-stage investor and advisor to startups across the AI and technology landscape.

👉 All partnerships, enquiries and speaking engagements: contact@noisemedia.ai

Writer

This should be illegal.

We’re entering a world where nothing can be trusted online:

I recently came across this video using Kling Motion Control.

It takes your movements and puts them in anyone's body.

Here's how it works:

→ Record yourself doing any movement
→ Use AI to generate a character image
→ Kling 2.6 merges the two seamlessly
→ Your moves, their face

We've now hit the threshold where it's impossible to discern whether someone is human in the digital world.

My takeaways:

The implications are huge in Hollywood:

→ Using someone's likeness without them present
→ Character swapping cost trends to near-zero
→ Reshooting scenes without actors on set

I also see new markets emerging:

→ Individuals renting out their identity
→ Licensing your likeness for content creation
→ Actors selling "performance rights" to their digital twin

Finally, proof of authenticity will become essential infrastructure, not just a nice-to-have.

Sam Altman is already building a global identity verification system using iris scans to fight against fraud and bots.

I believe we'll see identity become the next great asset class.

Follow me Alex Banks for daily AI highlights and insights.

P.S. If you liked this post, you'll love the newsletter.

I help you learn AI each week.
↳ Subscribe here: https://lnkd.in/ePSZP6KF

Video credit: ederxavier3d on Instagram

OpenAI lost 22% market share in 12 months.

Gemini is eating their lunch.

The first Global AI Tracker of 2026 just dropped.

Here's what caught my attention.

Market share as of Jan 2nd:

→ ChatGPT: 64.5%
→ Gemini: 21.5%
→ DeepSeek: 3.7%
→ Grok: 3.4%
→ Perplexity: 2.0%
→ Claude: 2.0%
→ Copilot: 1.1%

12-month transformation:

→ ChatGPT dropped from 86.7% to 64.5%
→ Gemini exploded from 5.7% to 21.5%
→ Grok didn't exist and is now approaching DeepSeek

12-week data change:

→ OpenAI: -22% (their worst period on record)
→ Gemini: +49% (relentless momentum)
→ Claude: -14% (stable but dipping)
→ Grok: +52% (fastest growing)

Driven by the winter break, daily visits dropped to August-September levels across all tools.

But the underlying trends are unmistakable.

My takeaway:

This is OpenAI's make or break year.

It will take an incredible model (GPT-6+) from them to restore faith.

Claude Opus 4.5 with extended thinking is now my go-to model for practically every task. I rarely use GPT-5.2 as Opus 4.5 is faster, better, and more consistent across my daily work.

If Anthropic keeps shipping at this pace, they could overtake OpenAI by the end of the year.

The AI race has never been more competitive.

Follow me Alex Banks for daily AI highlights and insights.

I cover the most important AI developments each week in my newsletter.

Subscribe here: https://lnkd.in/ePSZP6KF

NEWS: Okta just exposed AI's biggest blind spot.

Most companies aren't ready.

I sat down with Shiven Ramji, President of Auth0 at Okta, to find out what's being missed.

The problem is bigger than you think:

→ 80% of breaches already involve compromised identity
→ 91% of organisations are deploying AI agents
→ Only 10% have a governance strategy for managing them

Traditional security was built for deterministic apps.

AI agents are anything but.

They access sensitive data at machine speed, far faster than any human ever could.

4 things developers need to get right from day one:

1. Authentication 
↳ Verify the agent is working on behalf of who it claims

2. Human in the loop
↳ Sensitive transactions need async authorisation

3. Fine-grained permissions
↳ Ephemeral access that expires when the task is done

4. Secure connections
↳ No more static API keys scattered everywhere

The future Shiv predicts:

Memory will become tied to identity.

Right now, your context is locked inside each platform.

Eventually, you'll want to take your AI memory with you across tools.

My takeaway:

AI security is identity security.

You can't have one without the other.

The AI agent market is projected to hit $250 billion by 2034.

The companies racing to deploy without solving identity will learn this the hard way.

Follow me Alex Banks for daily AI highlights and insights.

Google's best learning tool is free.

This is how I learn anything fast.

NotebookLM lets you:

→ Upload any sources (docs, websites, research papers)
→ Use Deep Research mode to auto-pull 40+ cited sources on any topic
→ Transform everything into multiple learning formats

The 10 outputs it generates:

1. Chat Q&A → Plain-English answers with citations
2. Audio Overviews → Podcast-style explainers for commutes
3. Video Explainers → AI-narrated with custom visuals
4. Mind Maps → Explore concepts from first principles
5. Reports → Study guides, briefing docs, blog posts
6. Flashcards → Spaced repetition for terminology
7. Quizzes → Test what you actually retained
8. Infographics → Visual summaries in one click
9. Slide Decks → Presentation-ready in minutes
10. Data Tables → Structured comparisons automatically

Real-world business applications:

• Sales teams: Turn product docs into client-ready slide decks
• Onboarding: Create video overviews new hires can watch on day one
• Documentation: Generate infographics that replace 10-page guides nobody reads
• Training: Build quizzes that test whether your team actually retained the material
• Executive briefings: Summarise 50-page reports into 2-minute briefing docs

The people who win in 2026 are those who can learn anything quickly and apply it immediately.

NotebookLM is how I do that.

I wrote a full breakdown with video walkthroughs in my newsletter this week.

Read it here: https://lnkd.in/exymi6vU

Google just dropped AI into Gmail.

3 billion inboxes are about to change forever.

Gmail is entering the "Gemini era" with features powered by Gemini 3.

Here's what's new:

1. AI Overviews

→ Summarises entire email threads into key points
→ Ask your inbox questions in natural language
→ "Who gave me a plumber quote last year?" to instant answer

2. Help Me Write

→ Polish emails or draft from scratch
→ Rolling out to everyone for free
→ Next month: pulls context from your other Google apps

3. Suggested Replies

→ One-click responses that match YOUR writing style
→ Uses conversation context for relevant suggestions
→ Free for all users

4. Proofread

→ Advanced grammar, tone, and style checks
→ Available to Google AI Pro and Ultra subscribers

5. AI Inbox (coming soon)

→ Filters out clutter automatically
→ Identifies your VIPs based on email patterns
→ Surfaces high-stakes items like bills and reminders

Availability:

• Rolling out today in the U.S.
• English first, more languages coming soon
• Some features require Google AI Pro/Ultra subscription

My takeaway:

Email was revolutionised by Google once in 2004.

They’re now doing it again 22 years later.

Only this time they’re embedding AI where 3 billion people already live.

I hope Google prioritises better phishing detection as part of their AI strategy in Gmail.

I think this could be a really wonderful feature to help educate users on dangerous activity.

AI is no longer a separate tool but is now invisible infrastructure.

Follow me Alex Banks for daily AI highlights and insights.

I’ll be doing a full breakdown in my newsletter this week.

I cover the most important AI developments to keep you ahead.

Subscribe here: https://lnkd.in/ePSZP6KF

I built an AI version of myself.

It's trained on 100+ editions of my newsletter.

ElevenLabs just made this possible with their Agents platform.

Here's how I built "The Signal Brain" in 5 minutes:

1. Create a blank agent
↳ Head to ElevenLabs
↳ Select “Agents Platform” 
↳ Create a new agent from scratch

2. Upload your knowledge base
↳ I compiled all my newsletter editions into one document
↳ The platform uses RAG to vectorise and store your content
↳ Supports files up to 21MB each

3. Configure the system prompt
↳ Define the agent's role and personality
↳ Set the first message and system prompt
↳ Choose your LLM (I used Gemini 2.5 Flash)

4. Clone your voice
↳ I've already created my voice in ElevenLabs Studio
↳ Now my agent literally speaks like me

5. Publish and share
↳ Get a shareable link instantly
↳ Embed it on your website
↳ Let anyone interact with your knowledge

My takeaway:

What once required a team of engineers can now be done in minutes.
Whether you're a creator, educator, or business owner, you can now build an AI trained on YOUR knowledge that speaks in YOUR voice.

The best part is it’s available 24/7 for anyone to ask questions through text or voice.

This is the democratisation of AI agents in action.

Create your agent here:
https://lnkd.in/ebUgMThi

P.S. I'll be sharing the link to try The Signal Brain in the comments below.

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Alex Banks

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The Battle

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