Hasan Profile picture
Aug 6, 2025 13 tweets 5 min read Read on X
Nvidia CEO Jensen Huang just made the boldest prediction of his career:

“AI will create more millionaires in 5 years than the internet did in 20.”

But he didn’t stop there.

He revealed exactly HOW it’ll happen

Here’s his framework for capitalizing before it’s too late: ⬇️ Image
Jensen runs NVIDIA, the trillion-dollar company powering AI.

He's seen every major AI player's roadmap.

He knows what Zuck, Elon, and Sam are building before we do.

His perspective isn't speculation - it's insider intelligence
"We're a couple hundred billion into a multi-trillion dollar infrastructure buildout."

We're not even 10% through this transformation.

Internet boom: billions. AI boom: trillions.

What shocked me most:
Jensen isn't worried about AI taking jobs. He's worried we're not moving fast enough to create them.

"AI is the greatest technology equalizer of all time."
Learn and Earn with AI : futuregenai.beehiiv.com
Part 1: The Great Equalizer Effect

"Everybody's a programmer now. You used to need C++, Python... Now you just talk to the AI."

But it goes deeper:
"Everyone's creative now. Everyone's a creator now."

We're not replacing human creativity - we're amplifying it 100x.

The best ideas win, not the best technical skills.

This changes who can build companies.
Part 2: The Two-Factory Model

Jensen: "Every company needs two factories."

Factory 1: Your product
Factory 2: The AI behind it

Tesla builds cars AND AI brains.

Winners build both.
This isn't just tech.

Every industrial company becomes an AI company.

Jensen: "Or you're not going to be an industrial company."

Manufacturing, healthcare, transportation - all need both.

Companies building Factory 2 now will dominate.
Part 3: The Infrastructure Gold Rush

"In Arizona and Texas, we'll produce half a trillion dollars of AI supercomputers in 4 years."

That infrastructure drives trillions in AI industry value.

Here's what blew my mind:
150 AI researchers at DeepSeek or OpenAI can create $20-30 billion in value.

That's $200 million per person in value creation.

No industry in history has had this kind of leverage. Small teams, massive impact.

Jensen called out something crucial:
"American tech stack being the world's standard is vital to winning the AI race."

Chinese AI labs on NVIDIA chips? America wins.

Our tech stack IS our moat.

Jensen's warning:
Thats a wrap.

if you find it useful follow me for more @Ubermenscchh

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More from @Ubermenscchh

Mar 21
🚨BREAKING: You can now run Claude Code for FREE.

No API costs. No rate limits. 100% local on your machine.

Here's how to run Claude Code locally (100% free & fully private): Image
STEP 1: Select Your Local “Brain” (Ollama)

First you need a local engine that can run AI models and handle tool or function calls.

Here we will use Ollama so download

Once it’s installed, Ollama runs quietly in the background on both Mac and Windows. ollama.com
The installer will set up Ollama and add it to your system path.

After installation, verify Ollama is working:

Ollama runs as a background service automatically after installation.

You should see it running on http:// localhost: 1143
Read 8 tweets
Mar 8
🚨 This is insane: A new AI agent just built an entire software system from scratch and is now running full businesses on complete autopilot.

AI can now build entire businesses autonomously.

One person can create a billion-dollar company using AI alone.

Read everything below - this is very important, you won’t believe how fast this is moving… Show more
1/ This AI agent can do it all. Abacus AI’s Deep Agent can vibe code full stack ups, set up admin dashboards, connect to all your systems and create personal agents

deepagent.abacus.ai/hms
2/ Build complex software systems that can be deployed to production. Create multiple agents in a project.
Read 8 tweets
Mar 1
🚨 BREAKING: AI can now analyze stocks like top hedge fund managers (100% free).

Here are 10 nuclear Claude prompts that completely replace $3,000/month Bloomberg terminals 💰📈

Bookmark this thread - you’ll thank yourself later 🔥 Image
1. The Goldman Sachs Fundamental Analysis Screener

"You are a senior equity research analyst at Goldman Sachs with 20 years of experience evaluating companies for the firm's $2T+ asset management division.

I need a complete fundamental analysis of a stock as if you're writing a research report for institutional investors.

Analyze:

- Business model breakdown: how the company makes money explained simply
- Revenue streams: each segment with percentage contribution and growth trajectory
- Profitability analysis: gross margin, operating margin, net margin trends over 5 years
- Balance sheet health: debt-to-equity, current ratio, cash position vs total debt
- Free cash flow analysis: FCF yield, FCF growth rate, and capital allocation priorities
- Competitive advantages: pricing power, brand strength, switching costs, network effects rated 1-10
- Management quality: capital allocation track record, insider ownership, and compensation alignment
- Valuation snapshot: current P/E, P/S, EV/EBITDA vs 5-year average and sector peers
- Bull case and bear case with 12-month price targets for each
- One-paragraph verdict: buy, hold, or avoid with conviction level

Format as a Goldman Sachs-style equity research note with a summary rating box at the top.

The stock: [ENTER TICKER SYMBOL AND ANY SPECIFIC CONCERNS OR QUESTIONS YOU HAVE]"
2. The Morgan Stanley Technical Analysis Dashboard

"You are a senior technical strategist at Morgan Stanley who advises the firm's largest trading desk on chart patterns, momentum signals, and optimal entry and exit points.

I need a complete technical analysis breakdown of a stock covering every major indicator.

Chart:

- Trend analysis: primary trend direction on daily, weekly, and monthly timeframes
- Support and resistance: exact price levels where the stock is likely to bounce or stall
- Moving averages: 20-day, 50-day, 100-day, 200-day positions and crossover signals
- RSI reading: current value with interpretation (overbought, oversold, or neutral)
- MACD analysis: signal line crossovers, histogram momentum, and divergence detection
- Bollinger Bands: current position within bands and squeeze or expansion status
- Volume analysis: is volume confirming or contradicting the current price move
- Fibonacci retracement: key pullback levels from the most recent significant swing
- Chart pattern identification: head and shoulders, double tops, cup and handle, or flags
- Trade setup: specific entry price, stop-loss level, and two profit targets with risk-reward ratio

Format as a Morgan Stanley-style technical analysis note with a clear trade plan summary at the top.

The stock: [ENTER TICKER SYMBOL AND YOUR CURRENT POSITION — LONG, SHORT, OR WATCHING]"
Read 12 tweets
Feb 18
I’ve been quietly testing every NotebookLM prompt that’s quietly 10x’ing research for students, founders & researchers in 2026.

Found 15 absolute killers that aren’t in any big list yet.

These turn NotebookLM from “nice audio toy” into a full research co-pilot.

Steal them all 👇Image
1/ THE “ONE-SENTENCE THESIS” PROMPT

Reddit power users swear by this to kill fluff instantly:
"Read every source and distill the SINGLE most important thesis that ties everything together. Then prove it with the three strongest pieces of evidence from the documents. End with one sentence the author would tattoo on their arm."
2/ ULTIMATE EXAM CRAMMER

Students are getting 90+ with this:
"Act as the world’s best tutor who knows exactly what will be on the exam. From all sources create:
• 8 high-yield questions (mix of MCQ + short answer)
• Model answers with page references
• 3 sneaky trap questions professors love
• One-paragraph “if you only remember one thing” summary"
Read 17 tweets
Feb 16
BREAKING: Claude is a monster for market research.

I reverse-engineered how top teams at McKinsey, Goldman Sachs, and JP Morgan actually use it.

The gap is massive.

Here are 10 high-impact Claude prompts they’d rather you didn’t have (save this). Image
1. Market Sizing (TAM/SAM/SOM) from Scratch

Most founders pay consultants $3K just for a market sizing slide.

Claude does it in 30 seconds with actual logic:

Prompt:

You are a senior market research analyst at McKinsey.

Calculate the TAM, SAM, and SOM for [YOUR PRODUCT/SERVICE] in [TARGET MARKET].

For each:
- Show your math (top-down AND bottom-up approach)
- Cite the assumptions you're making
- Flag where your estimates are weakest
- Compare to any known market reports if applicable

Format as an investor-ready slide with numbers, not paragraphs. If my market is smaller than I think, tell me now.
2. Customer Persona Builder (Based on Real Data, Not Guesswork)

Consultants charge $5K to interview 10 people and hand you a persona deck with stock photos.

This is better:

Prompt:

You are a consumer insights researcher at Goldman Sachs

Build 3 detailed customer personas for [YOUR PRODUCT] in [INDUSTRY]

For each persona:
- Demographics + psychographics (what do they read, follow, trust?)
- Buying trigger: What event makes them Google your solution?
- Decision process: Who else influences their purchase?
- Objections: What's their #1 reason to say no?
- Exact phrases they'd use to describe their problem (for ad copy)



- No generic "35-year-old marketing manager" personas
- Base everything on behavioral patterns, not demographics
- Each persona should suggest a different acquisition channel
Read 12 tweets
Feb 14
BREAKING: AI can now build financial models like Morgan Stanley analysts (for free).

Here are 12 Claude prompts that replace $200K+/year investment banking jobs

(bookmark this thread 🧵) Image
1/ DCF Valuation Model

You are a Senior Analyst at Goldman Sachs. I need a complete DCF (Discounted Cash Flow) valuation model for [COMPANY NAME].

Please provide:

- Free cash flow projections: Next 5 years with growth assumptions
- WACC calculation: Cost of equity + cost of debt breakdown
- Terminal value: Both perpetuity growth and exit multiple methods
- Sensitivity analysis: How value changes with different assumptions
- Discount rate justification: Why we chose this WACC
- Key drivers: What makes cash flow go up or down
- Comparable companies: How our assumptions compare to peers
- Valuation range: Bull case, base case, bear case scenarios

Format as investment banking pitch book valuation page with clear formulas.

Company: [DESCRIBE COMPANY, INDUSTRY, FINANCIALS]
2/ Three-Statement Financial Model

You are a VP at Morgan Stanley. I need a complete three-statement model for [COMPANY NAME].

Please provide:

- Income statement: Revenue, costs, EBITDA, net income (5 years)
- Balance sheet: Assets, liabilities, equity (5 years)
- Cash flow statement: Operating, investing, financing activities (5 years)
- Link formulas: How statements connect (net income → cash flow → balance sheet)
- Working capital: How AR, inventory, and AP change
- Debt schedule: Principal payments and interest expense
- Key assumptions: Revenue growth, margins, capex as % of sales
- Error checks: Balance sheet balancing and circular references

Format as Excel-style model with formulas explained in plain English.

Company: [DESCRIBE BUSINESS, CURRENT FINANCIALS, GROWTH STAGE]
Read 15 tweets

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