Venture Capital
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The official channel of V3V Ventures. We share updates on our investments, portfolio companies, and fund activities.

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๐Ÿšจ OpenAI raises $8.3B at $300B valuation

According to the New York Times, OpenAI has raised $8.3 billion at a jaw-dropping $300 billion valuation โ€” months ahead of schedule.

The deal is part of its plan to secure $40B in total funding this year.

๐Ÿ–ฑ First reported by DealBook, this is OpenAIโ€™s largest round to date
๐Ÿ–ฑ SoftBank has already committed $30B for the year
๐Ÿ–ฑ The funding underscores the escalating race for AI dominance
๐Ÿ–ฑ Wall Street attention has shifted from tech giants to frontier labs like OpenAI

The compute arms race is in full swing โ€” and OpenAI just pulled far ahead.


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๐Ÿš€ Anthropic set to join worldโ€™s top 3 most valuable startups

Iconiq Capital is reportedly leading a new $5B round into Anthropic, pushing its valuation to $170B โ€” nearly 3x its March valuation. That would make it the third most valuable private company globally, behind only OpenAI and SpaceX.

๐Ÿ–ฑ Iconiq manages capital for Zuckerberg, Hoffman, Moskovitz, and other tech billionaires
๐Ÿ–ฑ Anthropic is now in talks with MGX (UAE) and Amazon
๐Ÿ–ฑ The company had previously resisted Middle East capital, but CEO Dario Amodei said itโ€™s now a matter of survival
๐Ÿ–ฑ The AI funding race is intensifying, and top players are reaching megacorp valuations faster than ever

If the deal closes, Anthropic wonโ€™t just be an AI lab โ€” itโ€™ll be an economic superpower.


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๐Ÿฆ Who VCs and founders actually follow on Twitter

Want to understand how investors think? Follow who they follow.

These accounts shape startup culture โ€” not just react to it. Sharp takes, deep experience, and trend-spotting in real time.

๐Ÿ”— Shl
Founder of Shl.vc and Superhuman investor. Writes about founder mindset, product strategy, and early-stage trends.

๐Ÿ”— Paul Graham
YC cofounder and OG of VC wisdom. Threads read like essays on building, scaling, and avoiding founder traps.

๐Ÿ”— Sam Altman
CEO of OpenAI, ex-YC president. Rare but insightful posts that usually hint at bigger shifts.

๐Ÿ”— NFX
Venture fund known for deep dives on network effects, pitch decks, and startup psychology.

๐Ÿ”— Balaji Srinivasan
Ex-CTO of Coinbase, GP at a16z. Writes about crypto, future states, and alt-institutions โ€” bold and contrarian.

๐Ÿ”— Ben Tossell
Founder of Makerpad (acquired by Zapier). Focused on no-code, MVPs, and launching fast with minimal overhead.

๐Ÿ”— Chris Messina
Invented the hashtag. Talks UX, product ecosystems, and remote team design โ€” especially useful for early-stage.

๐Ÿ”— Ben Horowitz
a16z cofounder. Mix of hard-earned wisdom, company case studies, and straight-up operator truth.

These arenโ€™t just popular accounts โ€” they set the tone for the whole early-stage world. Worth a follow if you build or invest.


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๐Ÿค– AI agents are now a real business โ€” not just a demo

What started as experimental tools is turning into serious revenue. Five AI agent startups have crossed $100M in ARR: Anysphere, Glean, Mercor, Replit, and Lovable.

The agent market is exploding โ€” from $5B to $13B in just a year.

๐Ÿ–ฑ 42% of AI agent startups now operate at commercial scale
๐Ÿ–ฑ Revenue per employee is catching up with Big Tech
๐Ÿ–ฑ Valuations go as high as 127x revenue
๐Ÿ–ฑ Nearly half of the top players were founded in the last 3 years
๐Ÿ–ฑ Winners solve tasks with clear ROI โ€” coding, support, ops

Next up: dominance will go to those with tight workflow integration, unique data, and high switching costs.


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๐Ÿช™ Ramp raises $500M to scale its finance-focused AI agents

Ramp has secured $500M in fresh funding at a $22.5B valuation to expand its AI-driven financial automation tools. The round, led by Iconiq, comes as demand surges for agentic systems in corporate finance.

๐Ÿ–ฑ Ramp's AI agents automate tasks like expense compliance, procurement, and bookkeeping
๐Ÿ–ฑ Thousands of companies, including Quora, are already using them to replace entry-level accounting work
๐Ÿ–ฑ CEO: โ€œWeโ€™re teaching software to think like peopleโ€
๐Ÿ–ฑ Concerns remain โ€” 80% of high-automation firms cite privacy and security as major hurdles
๐Ÿ–ฑ Iconiq also leads Anthropicโ€™s massive $170B valuation push

Ramp isnโ€™t just digitizing finance โ€” itโ€™s trying to replace the grunt work entirely.


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๐Ÿ“ˆ Meta doubles down on AI, but Reality Labs keeps bleeding

Meta will spend up to $72 billion on AI infrastructure this year โ€” a $30B jump from 2024.

But while it fuels the compute arms race, its metaverse unit Reality Labs posted a $4.5B loss for Q2, adding to a staggering $70B in cumulative losses since 2020.

๐Ÿ–ฑ AI infra spend this year will reach $66Bโ€“$72B, up from $40B in 2024
๐Ÿ–ฑ Reality Labs lost $4.5B in Q2 alone โ€” the worst quarterly result in its history
๐Ÿ–ฑ Since launch, the division has now burned over $70B chasing VR and AR ambitions
๐Ÿ–ฑ Metaโ€™s total revenue rose, but AI infra costs and metaverse bets remain a drag

One side of Meta is building the future โ€” the other is still paying for Zuckโ€™s past vision.


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๐Ÿ“Š Crypto Venture Weekly: July 28 โ€“ August 1, 2025

$322M raised across 26 projects this week, with capital flowing into stablecoin infra, decentralized compute, and RWA protocols.

Hereโ€™s what the top 10 are building ๐Ÿ‘‡

๐Ÿ–ฑ RD Technologies ($40M, Matrixport, Hivemind, Immutable)
Stablecoin infrastructure provider behind HKDR, backed 1:1 by the Hong Kong dollar.

๐Ÿ–ฑ Billions ($30M, Coinbase, Polychain, Polygon)
Mobile-first identity network for verifying humans and AI across applications.

๐Ÿ–ฑ Stable ($28M, Bitfinex, Hack VC, KuCoin)
New L1 chain built for stablecoins โ€” USDT used for gas.

๐Ÿ–ฑ Subzero Labs ($20M, Pantera, Coinbase, Mysten)
RISC-V-based blockchain for internet-scale decentralized applications.

๐Ÿ–ฑ Zodia Markets ($18.25M, Circle, Pharsalus)
Digital asset platform enabling institutional trading via stablecoin rails.

๐Ÿ–ฑ KAIO ($11M, Laser Digital, Brevan Howard)
New protocol for tokenizing and managing real-world assets.

๐Ÿ–ฑ Manifold Labs ($10.5M, OSS Capital, DCG)
Decentralized AI compute layer built on Targon and Bittensor networks.

๐Ÿ–ฑ STON.fi ($9.5M, Ribbit, CoinFund)
DEX and DeFi suite built natively on the TON blockchain.

๐Ÿ–ฑ Due ($7.3M, Speedinvest, Fabric, Semantic)
Cross-border payments platform with stablecoin and fiat rails in 80+ markets.

๐Ÿ–ฑ TACEO ($5.5M, Archetype, a16z CSX)
Privacy-preserving compute infra using ZK and MPC for encrypted data handling.

Investor interest continues to converge around programmable money, crypto x AI tooling, and modular infra for scale.


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๐ŸŽจ Figma IPO: $60B for a design app? Markets at all-time highs โ€” perfect moment for IPO frenzy. After Circle mooned from $29 to $298, bankers rushed to repeat the magic. Now itโ€™s Figmaโ€™s turn: ๐ŸŸก Priced at $33 โ€” $20B valuation ๐ŸŸก โ€œAdobe tried to buy usโ€ usedโ€ฆ
๐Ÿ–Œ Figma IPO: every VC's dream seed round

Figmaโ€™s IPO glow-up is making early investors look like prophets. Letโ€™s count the returns.

๐Ÿ–ฑ Index Ventures:
$3.8M seed โ†’ $7.2B โ†’ 1,900ร—

๐Ÿ–ฑ Greylock Partners:
$14M โ†’ $6.7B โ†’ 480ร—

๐Ÿ–ฑ Kleiner Perkins:
$25M โ†’ $6B โ†’ 240ร—

๐Ÿ–ฑ Sequoia Capital:
$40M โ†’ $1.1B โ†’ 27ร—

๐Ÿ–ฑ a16z:
$50M โ†’ ~$1.5B โ†’ 30ร—

๐Ÿ–ฑ Durable Capital:
$200M โ†’ ~$1.4B โ†’ 7ร—

The craziest stat?
Index Ventures only put 1% of its fund into the seed โ€” and now itโ€™s returned 17.5ร— the entire fund from that single bet.

Sometimes one stroke really does paint the whole picture.


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๐Ÿ’ผ Luxury fatigue hits Gucci, Dior, and LV as sales drop in 2025

The owners of Gucci, Dior, and Louis Vuitton reported a 7โ€“15% YoY sales drop in H1 2025. The decline is driven by global economic instability โ€” and a growing sense of โ€œluxury fatigueโ€ among consumers.

๐Ÿ–ฑ Kering saw Gucci down 25% and YSL down 10%
๐Ÿ–ฑ LVMH confirmed weak demand in Japan, where tourist spending collapsed
๐Ÿ–ฑ China luxury demand dropped 18โ€“20% in 2024
๐Ÿ–ฑ Bain reports online engagement with luxury brands fell 40% vs 2022
๐Ÿ–ฑ Gen Z demand dropped 7% โ€” more buyers turn to secondhand and even replicas
๐Ÿ–ฑ LVMH's Loro Piana unit was hit with labor rights violations and placed under external management for a year

The luxury slowdown isnโ€™t just cyclical โ€” itโ€™s cultural. A new generation is redefining what โ€œstatusโ€ means.


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๐Ÿš› Pitch deck vs. reality

Slides promise one thing โ€” execution delivers another.

Remember when Elonโ€™s โ€œunbreakableโ€ Cybertruck window shattered on stage?

Same thing happens in venture ๐Ÿ‘‡
โœ…"CAC $1, LTV $1000"
โŒ"Weโ€™re hiring a PM and looking for our first users"


A great pitch is just a hypothesis.
What really matters is what happens after the check clears.

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โšก๏ธ Musk offered $29B Tesla package โ€” but only if he stays

Teslaโ€™s board has proposed a new $29 billion stock compensation plan for Elon Musk โ€” on one condition: he must stay in charge for at least two more years and hold the shares for five.

๐Ÿ–ฑ The plan reflects growing pressure from the AI talent war
๐Ÿ–ฑ Unlike his 2018 package, this one isnโ€™t tied to market cap targets
๐Ÿ–ฑ For the first time, Musk is formally required to remain at Tesla
๐Ÿ–ฑ Shareholder vote scheduled for November
๐Ÿ–ฑ If Delawareโ€™s Supreme Court upholds the previous $56B package rejection, this deal will be void

Teslaโ€™s betting billions that keeping Musk is more valuable than chasing KPIs.


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๐Ÿค– Microsoft ranks jobs most vulnerable to AI

Microsoft analyzed 200,000 user chats with Bing Copilot to calculate an โ€œAI applicability scoreโ€ โ€” showing how easily AI could assist or replace various professions.

๐Ÿ–ฑ Most at risk: translators, historians, copywriters, teachers, consultants, and support staff
๐Ÿ–ฑ Least affected: machine operators, housekeepers, dishwashers, massage therapists, roofers
๐Ÿ–ฑ Even in โ€œvulnerableโ€ jobs, AI often plays a supporting role โ€” not full replacement
๐Ÿ–ฑ Microsoft notes the model reflects current usage, not long-term economic impact

The line between automation and augmentation is still blurry โ€” but the direction is clear.


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๐Ÿค– 85% of YC startups are now AI startups

Y Combinatorโ€™s latest batch is 85% AI โ€” a sharp signal of where early-stage conviction is headed.

The gold rush isnโ€™t over โ€” itโ€™s still accelerating.


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๐Ÿ“‰ Why predictions fail โ€” and how great investors prepare instead

Your job isnโ€™t to predict the future. Itโ€™s to be ready for it.


In venture, success doesnโ€™t come from guessing right โ€” it comes from building systems that thrive in uncertainty. The best investors donโ€™t speculate. They prepare.

๐Ÿ–ฑ Winning comes from readiness, not foresight
๐Ÿ–ฑ Resilience is built on structured thinking and scenario planning

When the future is unclear, smart investors stay grounded:

๐Ÿ–ฑ They build systems for fast, objective opportunity analysis
๐Ÿ–ฑ They test assumptions constantly and act with clarity

โšก๏ธ In venture and beyond, discipline beats prediction โ€” every time.

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๐Ÿ“ˆ Top 6 fresh venture deals

Hereโ€™s a snapshot of the weekโ€™s biggest venture rounds โ€” and the markets theyโ€™re reshaping:


๐Ÿ–ฑ Blaxel โ€” $7.3M seed
Agent-native infra platform without traditional cloud dependencies.
Backers: First Round Capital, Y Combinator

๐Ÿ–ฑ Hadrian โ€” $260M Series C
Industrial AI startup automating manufacturing and defense supply chains.

๐Ÿ–ฑ Bedrock Robotics โ€” $80M Seed + Series A
Autonomous systems for heavy construction equipment, backed by NVIDIA, Eclipse, 8VC.

๐Ÿ–ฑ Groq โ€” $600M in progress ($6B valuation)
AI chipmaker nearing close of major raise led by Disruptive ($300M+).

๐Ÿ–ฑ Ramp โ€” $500M Series E-2
Fintech automation giant hits $22.5B valuation.
Backers include ICONIQ, Founders Fund, GIC, Coatue

๐Ÿ–ฑ Anaconda โ€” $150M+ Series C ($1.5B valuation)
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 โ€” unique edge plays are pulling in the biggest checks.


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๐ŸŽ 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:
๐Ÿ–ฑ The NFL earns 7 times more than F1
๐Ÿ–ฑ NASCAR โ€” a niche American cousin of Formula 1, secured $1.1 billion from media rights deals

Thereโ€™s still plenty of room to grow.


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๐Ÿ’ต The quiet $100B empire built by ignoring Silicon Valley

While VCs were chasing unicorns and exits, Mark Leonard built a $100B software giant by doing the exact opposite โ€” 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.

๐Ÿ–ฑ Started in 1995 with $25M and a contrarian mindset
๐Ÿ–ฑ Focused on tiny vertical SaaS businesses overlooked by VCs โ€” things like water billing or camp registration software
๐Ÿ–ฑ Acquired 1,000+ of these companies over 30 years โ€” no exits, no flipping
๐Ÿ–ฑ Keeps every acquisition independent: original team, culture, product, branding
๐Ÿ–ฑ No layoffs, no โ€œsynergiesโ€ โ€” just profit and long-term ownership
๐Ÿ–ฑ Doesnโ€™t give Wall Street forecasts, doesnโ€™t do investor calls
๐Ÿ–ฑ Managers are required to reinvest their bonuses into company stock โ€” by 2015, 100+ employees held over $1M in shares
๐Ÿ–ฑ Company went public only to provide liquidity for employees โ€” not to cash out or raise growth capital

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 โ€” 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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๐Ÿšจ The next unicorns will look boring (until they arenโ€™t)

The billion-dollar startups of the next decade wonโ€™t start loud or flashy. Theyโ€™ll look underwhelming at seedโ€”small, niche, hard to spot. But by Series B, theyโ€™ll be miles ahead.

Hereโ€™s why:

๐Ÿ–ฑ AI and automation make early teams lean but deadly effective
๐Ÿ–ฑ Real traction is quiet: revenue, execution, strategic focus
๐Ÿ–ฑ The best companies wonโ€™t fit traditional โ€œhot startupโ€ signals
๐Ÿ–ฑ Big markets often emerge from โ€œnicheโ€ wedge plays
๐Ÿ–ฑ Technical depth and defensibility build long before theyโ€™re visible

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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