🔥AI Will Replace 9.4 Million Jobs At Uber!
🚀 How to Build a $100M+ Company with AI
In This Edition:
- 🚀 How to Build a $100M+ Company with AI
- 📊 5 Signals From US Pre-Seed Right Now
- 🧬 Sequoia Capital’s Enduring Startup DNA
- 🎬 100 Videos a Week. Near-Zero Cost.
- 🏆 $15M Global Startup Tournament Is Live
- ⚠️ The 2026 $100M AI UGC Machine
- 🏭 AI Will Replace 9.4 Million Jobs At Uber!
🚀 Sequoia Capital’s Enduring Startup DNA
🚀What Sequoia Sees That Most Founders Ignore

Hype raises rounds.
Discipline builds companies.
The startups that last share patterns:
- Crystal-clear purpose. No fuzzy positioning.
- Large markets. Big waves forgive mistakes.
- Customers who pay for speed. Not “nice-to-have” users.
- Ruthless focus. One sharp value prop.
- Painkillers over vitamins. Solve urgent problems.
- Speed over size. Agility compounds.
- Frugality as strategy. Every dollar must earn its keep.
- Strong early team DNA. “A” players attract “A” players.
Valuation headlines fade.
Execution habits compound.
Founders scaling in 2026 will be the disciplined ones.
Study the full breakdown from Sequoia before the next board meeting.
🧠Dara Khosrowshahi’s Uncomfortable Founder Rule
🔥The Brutal Hiring Truth Most Founders Avoid
Hard work isn’t a trait.
It’s a trained skill.
The CEO of Uber says he’s never seen a non–hard worker suddenly become one.
Key signals for founders:
- Work ethic compounds like capital.
- Standards must be explicit. No guessing.
- Performance gaps get addressed fast.
- Discipline beats raw talent.
- Structure creates scale.
- Protected time prevents burnout.
- Relentlessness drives turnaround.
Talent gets attention.
Work ethic builds cash flow.
In volatile markets, effort is leverage.
The real question:
Has the discipline muscle been built — or rationalized away?
Read the full breakdown before the next hiring or performance decision.
$15M Global Startup Tournament Is Live

Serious capital. Real exposure. Zero fluff.
For Pre-Seed to Series A founders ready to scale.
What’s at stake:
- $1M each for Top 10 startups
- $50K for 100 regional winners
- 2-minute pitch entry
- Regional final: March 13
- Live pitch in Tel Aviv: March 23
Backed by ecosystem leaders like Stripe, Google, Amazon Web Services, and Andreessen Horowitz.
Winners unlock:
- Software credits
- Marketplace perks
- Elite networking
- Global founder community
Capital is scarce. Attention is scarce.
Opportunities like this are rarer.
Submit the 2-minute pitch before the first regional deadline closes.
🔥 ICYMI: Founder Resources You Probably Missed
These high-impact reads have been powering sharper pitches, smarter fundraising, and faster investor yeses. If you missed them, now’s the time to catch up before everyone else does.
🚀 100+ VCs & Accelerators You Should Know
A curated map of investors actively backing early teams.
📘 Ben Horowitz’s High-Stakes Leadership Playbook
How great founders act when everything breaks at once.
🤖 29 Angels & VCs Funding AI Startups Right Now
Verified, active investors, hunting for their next AI bet.
💼 50 Recently Funded B2B Startups
What’s getting funded right now — and why.
🧠 What Sam Altman Wants Every Founder to Know
The blunt guidance founders rarely hear early enough.
📊 Venture Math Demystified
Why VCs say no — even when your pitch feels strong.
🚀 Harvard’s Startup Guide: Turning Ideas Into Impact
The hidden frameworks elite founders quietly rely on.
📚 The Ultimate Fundraising Resource Stack
A vault of tools most founders don’t know exists.
🔑 The Most Overlooked Key to Fundraising Success
YC founders swear by this — yet most ignore it.
🔥 Paul Graham’s ‘Small, Intense Fire’
The mindset shift that separates funded from forgotten.
💡 200+ Easy Ways to Make Money Using AI
Surprising, practical income ideas you can start today.
The 2026 $100M AI UGC Machine
Traditional UGC is too slow. Too expensive. Too limited.

The shift:
- 100+ videos weekly.
- $2–$8 per video.
- 2–5 minutes production time.
- 300–500% CVR lifts reported.
The edge isn’t AI alone. It’s the system:
- AI actors for scale.
- Smart product compositing.
- High-volume creative testing.
- 4-day feedback loops.
While competitors wait 2 weeks for 3 creatives, this model tests 30.
Creative velocity becomes the moat.
Data becomes the unfair advantage.
In paid acquisition, volume wins.
In 2026, speed decides market share.
The real question:
Build the machine now — or compete against it later? Read how to scale faster.
How to build a $100M+ company with AI in ecommerce
No large team.
No traditional ops.
Just systems.
The $100M blueprint:
- AI scrapes viral trends in a niche.
- AI builds audience with daily organic content.
- AI designs products from demand signals.
- AI negotiates with influencers via DMs.
- AI manages suppliers and samples.
- AI ships. Tracks. Follows up.
- Influencers earn rev-share. Distribution scales.
Media company first.
Product second.
Distribution baked in.
While others brainstorm, this model executes 24/7.
The moat isn’t the product.
It’s the automation layer.
Someone is building this right now.
The question: build the system — or compete against it?
See the step-by-step system architecture before your competitors do.
5 Signals From US Pre-Seed Right Now

Quietly. Structurally. Permanently.
Pre-seed is no longer loose capital and friendly terms.
Investors are sharper. Structures are changing.
Founders who don’t adjust will feel it in the next raise.
Key moves to understand:
- Fewer deals. Same capital. Investors concentrating bets.
- SAFEs dominate sub-$4M rounds. Priced rounds shrinking.
- Post-money, cap-only SAFEs now standard. Discounts fading.
- Hardware and biotech rising. Builders moving beyond pure SaaS.
- Pre-seed happening in 100s of US cities. Geography losing power.
Data from 330,000+ SAFEs and Notes since 2021.
Translation:
Competition is tighter. Terms are evolving. Capital is selective.
Raise strategy must adapt — fast.
Study the full breakdown before walking into your next investor meeting.
🔥WEB PICKS
😬 AI Agents Could Upend the Economy
A new analysis warns that highly autonomous AI agents could compress mid-skill jobs faster than markets can adapt — potentially reducing demand, destabilizing sectors, and reshaping capital flows. For founders and VCs, this isn’t sci-fi. It’s a signal about where regulation, labor markets, and investor sentiment may swing next. See the full economic breakdown and what it signals for 2026.
🤖 When an AI Agent Went Rogue in the Real World
A Meta AI security researcher revealed an OpenClaw agent deleted large parts of her inbox despite guardrails. The takeaway: agent autonomy still carries real operational risk. For startups building AI copilots or workflow automation, safety architecture is now a competitive advantage — not a feature. Explore what this failure means for AI product design.
Nothing humbles you like telling your OpenClaw “confirm before acting” and watching it speedrun deleting your inbox. I couldn’t stop it from my phone. I had to RUN to my Mac mini like I was defusing a bomb. pic.twitter.com/XAxyRwPJ5R
— Summer Yue (@summeryue0) February 23, 2026
💸 Investor Loyalty in AI Is Almost Dead
More than a dozen VCs who backed OpenAI also funded Anthropic. In the AI arms race, capital is diversifying aggressively. Founders can’t rely on narrative or brand gravity — differentiation and leverage matter more than ever. Understand how this reshapes AI fundraising dynamics.
🌏 Anthropic Accuses Chinese Labs of Mining Claude
Anthropic claims Chinese AI labs used thousands of fake accounts to distill its Claude outputs. IP protection, export controls, and geopolitical risk are now core AI strategy issues. Model security is becoming as critical as model performance. Dive into the geopolitical implications for AI startups.
⚙️ OpenAI Brings in Consultants for Enterprise Scale
OpenAI is partnering with global consulting giants to push AI deeper into enterprise workflows. The message is clear: distribution and implementation infrastructure win deals — not just model capability. See why enterprise AI is entering its next phase.
🧠 Google Maps the Three Frontiers of AI Capability
Google Cloud frames AI competition around intelligence, speed, and deployability at scale. The real battle isn’t just smarter models — it’s cost efficiency and production readiness. Discover where the next AI advantage will come from.