Microsoft analyzed 200,000 user chats with Bing Copilot to calculate an “AI applicability score” — showing how easily AI could assist or replace various professions.
The line between automation and augmentation is still blurry — but the direction is clear.
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Y Combinator’s latest batch is 85% AI — a sharp signal of where early-stage conviction is headed.
The gold rush isn’t over — it’s still accelerating.
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Your job isn’t to predict the future. It’s to be ready for it.
In venture, success doesn’t come from guessing right — it comes from building systems that thrive in uncertainty. The best investors don’t speculate. They prepare.
When the future is unclear, smart investors stay grounded:
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Here’s a snapshot of the week’s biggest venture rounds — and the markets they’re reshaping:
Agent-native infra platform without traditional cloud dependencies.
Backers: First Round Capital, Y Combinator
Industrial AI startup automating manufacturing and defense supply chains.
Autonomous systems for heavy construction equipment, backed by NVIDIA, Eclipse, 8VC.
AI chipmaker nearing close of major raise led by Disruptive ($300M+).
Fintech automation giant hits $22.5B valuation.
Backers include ICONIQ, Founders Fund, GIC, Coatue
AI & data science platform raises from Insight Partners, Mubadala.
AI infra, automation, and deeptech continue to dominate capital flows. From agent-native cloud to autonomous construction and vertical AI platforms — unique edge plays are pulling in the biggest checks.
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🏎 How Formula 1 makes money
F1's popularity in the US doubled thanks to the Netflix docuseries released during the pandemic. But in recent months, the flow of new viewers has slowed down.
For comparison:
🖱 The NFL earns 7 times more than F1
🖱 NASCAR — a niche American cousin of Formula 1, secured $1.1 billion from media rights deals
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F1's popularity in the US doubled thanks to the Netflix docuseries released during the pandemic. But in recent months, the flow of new viewers has slowed down.
For comparison:
There’s still plenty of room to grow.
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While VCs were chasing unicorns and exits, Mark Leonard built a $100B software giant by doing the exact opposite — buying small, boring SaaS companies and holding them forever.
His firm, Constellation Software, now generates $2B+ in free cash flow yearly, with just 20 people at HQ.
Leonard optimized for permanence instead of speed, and operational discipline over hype.
And it worked: 35% CAGR since IPO, $100B market cap, and one of the highest revenue software companies in Canada — ahead of Shopify.
In a world chasing flash, Constellation shows the real returns come from staying invisible, disciplined, and long-term.
Probably the best venture strategy no one in the Valley wants to copy.
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The billion-dollar startups of the next decade won’t start loud or flashy. They’ll look underwhelming at seed—small, niche, hard to spot. But by Series B, they’ll be miles ahead.
Here’s why:
What makes these companies dangerous is compounding.
Distribution grows silently. Data moats deepen. The product becomes sticky.
And then, suddenly, everyone else is too late.
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Donald Trump has demanded the immediate resignation of Intel’s new CEO, Lip-Bu Tan, citing his ties to Chinese companies, including some with military links. Intel shares fell 5% following the statement.
The clash could escalate tensions over U.S. chip strategy and China-linked leadership.
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A wave of new capital is flowing across Asia and the U.S., with strong focus on early-stage tech, Southeast Asia, and overlooked founders. Here are the highlights:
Asia-focused funds are ramping up fast, with India, Vietnam, and Southeast Asia seeing new vehicles. Meanwhile, climate tech, credit, and founder diversity remain top U.S. themes.
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Maor Shlomo built Base44, a no-code app builder, entirely solo—with no team, no investors, and no marketing budget.
In just 6 months, it was acquired by Wix for $80M upfront, with potential to exceed 9 figures.
Here’s how he pulled it off
Wix didn’t just buy a product—they bought a story, an audience, and a working growth machine.
This is the new playbook:
One founder, AI tools, real velocity, and relentless execution.
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Tesla has officially pulled the plug on its Dojo AI supercomputer, a project once described by Elon Musk as the key to achieving full self-driving.
After years of development, the team is being disbanded and its leader, Peter Bannon, is exiting the company.
Dojo was once expected to add $500B in value, according to Morgan Stanley. Now it’s just another pivot in Tesla’s AI story.
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Spacetech startup Firefly Aerospace jumped 34% on its Nasdaq debut, closing its first day of trading under the ticker $FLY with strong investor interest despite ongoing losses.
Firefly joins a wave of hot 2025 debuts including CoreWeave, Circle, and Figma — another sign that the IPO window is wide open again.
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Rocket Lab is pivoting harder into defense, using its latest acquisition to move beyond launch and strengthen its position in high-value government contracts.
In Q2, 68% of its record $144.5M revenue came from its space systems segment — not rockets.
With defense spending accelerating, Rocket Lab is positioning itself not just as a launcher — but as a key tech supplier for space-based military systems.
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It’s time to rewrite one of startup culture’s core ideas.
The old MVP mindset tricks founders into thinking “minimum” means cheap or free.
But that logic is flawed and often fatal.
Your MVP shouldn’t be the smallest thing you can build. It should be the highest-leverage slice of your product—something that:
If your MVP truly solves a problem, people will pay after trying it. If not—they won’t. That’s your signal to rethink.
Example:
Skip the limited free tier. Instead, build a premium tool that does one job incredibly well. Let people try it 3 times. Then charge.
Add the rest only once you’ve validated demand through real feedback and real payments.
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$207M raised across 24 projects this week, with capital flowing into AI infra, gaming, Bitcoin L2s, and DeFi tooling.
Here’s what the top 9 are building
Open-source OS for AI agents and robots, plus FABRIC — a decentralized network for coordination and trust.
India-based game studio behind Indus and MaskGun, building Web3-enabled multiplayer titles.
Hybrid L2 for building Bitcoin-native tokens and applications.
Modular AI training data solutions for large-scale model development.
MegaETH-based mobile app simplifying crypto derivatives trading.
Stablecoin payment APIs for compliant, instant global transfers.
Decentralized leveraged sports betting exchange.
DeFi protocol on XRP Ledger for on-chain trading and lending.
Solana-based DeFi platform offering LST-backed stablecoin hyUSD and leveraged SOL exposure.
Investor focus this week leaned toward AI-driven infrastructure, Bitcoin scalability, and DeFi payment rails.
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Paris-based Harmattan AI is seeking $200M in early-stage funding to scale its AI-powered military drones. The startup, launched in April 2024, has already secured $30M from FirstMark and Atlantic Labs, per Bloomberg.
With European defence tech funding up 26% YoY, Harmattan is chasing long-term government “programmes of record” and aims for its first $1B contract by 2030.
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Twenty companies joined the Crunchbase Unicorn Board in June - the biggest monthly jump since July 2022.
AI and robotics led the way, with Thinking Machines Lab topping the list after a $2B seed round at a $12B valuation.
The surge shows capital is flowing again into high-growth tech, with AI continuing to dominate, but robotics, defense, and niche SaaS also getting their share of billion-dollar valuations.
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The Europeans - a true masterclass in restraint.
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