Every single AI startup with $500M+ revenue run rate (excluding the big 3 labs):
Lovable - $500M
ElevenLabs - $500M
Perplexity - $500M
Manus - $500M*
Cognition - $500M*
Kling AI - $500M
Crusoe - $500M*
Midjourney - $500M*
Higgsfield - $500M
Lightning AI - $500M+
Replit - $525M*
Baseten - $600M*
Lambda - $760M*
Fireworks - $800M*
Together AI - $1B
Surge AI - $1.4B*
Scale - $2B*
Mercor - $2B**
Cursor - $4B
22 total companies (including big labs)
*estimated / unconfirmed
**gross marketplace volume, not net revenue
Incredible story and didn't know Malaysia with the first sat up via SpaceX! 🇲🇾 – at Kuala Lumpur Federal Territory, Malaysia
My partner Steve Jurvetson spent his nights and weekends launching rockets. Totally obsessed.
So I told him, "Find us the best rocket company."
Three weeks later he came back.
"The best rocket company is Elon's."
My first reaction: "Isn't he supposed to be running Tesla?" We already had a big investment in Tesla, but we heard him out.
In that meeting, you could feel it. His mission in life was to make humanity multi-planetary. Tesla was a means to an end.
So we became the first money in after Elon's own $100 million and an investment from Founders Fund.
Just before we invested, the first few rockets had exploded on the launch pad.. but then a Falcon 1 lifted off and worked. It launched one small satellite for Malaysia, and then it was retired.
Falcon 9 was the true workhorse, which good customers came for later over time.
Eventually there were contracts everywhere, and Elon Musk began his journey to make us multiplanetary.
A mission like "we're going to Mars" attracts the best engineers in the world. People take a new job to solve a problem they'll tell their grandkids about.
When Kennedy said we choose to go to the moon, the technologies that came out of that effort changed everything on Earth.
Same thing is happening now. Starlink exists because Elon Musk is building to get us to Mars.
If the mission is grand enough, innovations that happen along the way will enhance and may even redefine the business.
Thanks to Bonnie Blockchain for having me on!
Vinoth Jayakumar retweeted
Meta’s hiring of @kunalb11 to run WhatsApp is almost unprecedented in their bringing a leader from outside Silicon Valley to run a global product. And this wasn’t a straightforward hire either. Meta is paying $1b for the privilege of hiring him.
The only comparable I can think of among tech companies is Apple hiring Angela Ahrendts (CEO of Burberry) to run Retail. Other than that hire, every product / business leadership role at the best tech companies has been filled from people in the Valley, if not the US.
This is a great win for:
- WhatsApp users, who will benefit from a leader who has a native and deep understanding of - and facility with - the product.
- Meta, who gets one of the best global consumer product thinkers and builders for their crown jewel product.
- The Indian / global product talent ecosystem, which will be inspired by seeing that you don’t need to be in Silicon Valley to lead a global product, that forward thinking tech / AI companies will stretch to get the best leaders from anywhere in the world.
@Jessicalessin the story behind Kunal’s hire will be fascinating to break.
Vinoth Jayakumar retweeted
I love this! Santander has open-sourced its open-source AI initiatives.
The bank pushed 11 repos, live this week under Apache-2.0 on the code, but the data synthetic or anonymised only.
Quite a moment for a bank this size, putting its AI control layer on the open internet for anyone to fork. This is the bit every bank has to get right.
So what is it?
→ autoguardrails: a scaffold for stress-testing LLM guardrails, jailbreaks included (can we use this LLM?)
→ "mechanical governance" for high-stakes LLM decisions, with hard gates and governance metrics (can we trust an LLM with this decision?)
→ mutatis-mutandis: discrimination testing with counterfactual comparators, straight out of a published paper (very important if you're lending!)
→ stressed-datasets: public benchmarks republished in "stressed" form to probe model robustness in that scenario
→ gen-fraud-graph: a synthetic fraud-graph generator to benchmark fraud detection (really, really cool, need to dig into this one)
→ llm_bridge: a vendor-neutral client for OpenAI, Bedrock and Gemini, so you skip the lock-in (again, how many companies are struggling with this?)
→ ralph: their own spin on the Ralph loop, the run-an-agent-in-a-loop trick from the indie AI crowd
I think I need to write a whole Rant on each of these pieces.
The most important thing for a big regulated actor is "Can you show a decision was safe, fair, auditable, and the same tomorrow as it was today." Santander published its working answer and handed it to everyone, competitors included.
Why give it away?
1. Attract talent - this is a huge signal they've got their AI act together
2. Signal internally - We have these tools, use them
3. Give regulators confidence - Here's how we work, you can audit it
(The board that signs off on releases includes Legal and the CISO. That tells you how seriously they treat it.)
I've watched banks spend years trying to govern AI behind closed doors and ship nothing. Doing it in the open, with a contributor agreement and a proper open-source office, is a faster route to getting it right.
The banks that pull ahead from here will be the ones who can prove their AI works.
@bancosantander just open-sourced a head start.
Repo is here. 👇
github.com/SantanderAI
Vinoth Jayakumar retweeted
Visa x Revolut just rolled out tokenised checkout to 53 million cardholders across Europe.
No card numbers. No form-filling. No one-time codes.
91% less fraud. 11% higher auth rates. 20 seconds faster at checkout.
And this is the same infrastructure that will power agentic commerce next.
#visa #revolut #payments #fintech @Revolut @Visa @f3cooper @jackforestell @rajtaneja
Vinoth Jayakumar retweeted
🚨 JUST IN: JPMorgan, Citi, Bank of America and Wells Fargo are building a shared blockchain to keep deposits from leaving the banking system.
The Clearing House will run it. Target launch is the first half of 2027.
Interestingly, this appears led by being defensive rather than clients, at least according to some quotes. Bank of America's head of global payments, Mark Monaco, told the WSJ that clients aren't "beating down the door" for tokenized deposits.
The reason they're building it anyway sits in what they walked away from. A year ago this same group explored a joint bank stablecoin through The Clearing House and the operator of Zelle. They dropped it and picked a blockchain for deposits instead.
Remember deposits are money that stays still. They sit on the bank's balance sheet as a claim you hold against the bank. Stablecoins are money that moves. A bearer instrument that can leave your bank on Saturday and settle somewhere else by Sunday.
And given they're working with The Clearing House (TCH) that makes sense. Deposits can't leave a bank and go anywhere, but through clearing, banks can figure out all of the possible transactions that need to happen, and "net" them into one single efficient transaction multiple times per day. So instead of sending $10m one way, and $9m back. The banks send the difference or "net" of $1m.
But I don't get why they need a blockchain to do this?
The Clearing House already clears deposits in the USA between the member banks?
Tokenized deposits DO have demand if you talk to JP Morgan, their clients have cleared $3 trillion to date, but all cross-border. So again, what is the clearing house adding here?
Meanwhile, you have SoFiUSD which is live, and 1:1 exchangeable for its Tokenized Deposit, 24/7. Meaning, they enable instant, global exchange of dollars that can be off-ramped to any other payment system.
The US banks in the clearing house won't have that same cross-border advantage. To me, this looks like the clearing house got a tech upgrade, that maybe it didn't need?
Stablecoins are open loop. Global. 24/7. *That* is their advantage.
Tokenized deposits are 24/7 and safer. But closed loop.
These two things should co-exist not compete.
🤖 Made with AI
Vinoth Jayakumar retweeted
Outside of tech the fastest adopter of AI is finance
Fintech is dead.
FinAI is here. – at Romford, London
Vinoth Jayakumar retweeted
🚨 JUST IN: @AnthropicAI just picked @FISGlobal as its way into banking.
Anthropic's Forward Deployed Engineers (FDE) helped build a new AML agent that can help craft SAR narratives.
Initially partnering with BMO and Amalgamated Bank to compress investigations from days to minutes. This product will be generally available in H2 2026.
---
FIS as a distribution partner and wedge into banking is SUCH a smart entry point for Anthropic. I'm surprised OpenAI didn't do this before.
FIS sits inside ~12% of the global economy's banks.
They do the core systems, payments rails, and deposit and lending systems of record.
You can't cold-call your way into that.
Anthropic skips a decade of enterprise sales by going through the company banks already trust with their plumbing.
----
FIS answers the big governance worry. What happens to my data and how do I explain this to regulators?
The answer is one regulators all too often accept without challenge "FIS does it." It's a mark of scale and trust built over decades.
And then yes,
- Client data stays inside FIS-controlled infrastructure
- Every agent decision is traceable and auditable
- Anthropic's forward-deployed engineers are embedded inside FIS to co-build, then transfer the playbook so FIS can ship more agents independently
---
Anthropic now has FDEs (yes, the Palantir model) sitting inside the company that runs core banking.
The first agent is a demo.
The repeatable IP is the deployment pattern, how a frontier model reasons over the most sensitive data on earth without that data ever leaving the bank's trust perimeter.
They say the roadmap includes credit decisioning, deposit retention, onboarding, fraud.
They're basically swallowing the "Value Added Services" people built around FIS.
Smart. Because it's no cannibalization of existing revenue.
---
FIS has a contract and the central data, and system of record for banks. The hardest nut to crack from the outside.
Their prize is every workflow inside a regulated bank that needs an agent and a governance story it can defend to a regulator.
This is a fantastic ways for systems of record, incumbents to use their moat and partner with AI companies to drive revenue growth
My question is. Why wouldn't Anthropic buy a stake on FIS and a system of record company in every vertical. Prove the FDE model works, then push it out to every other company in the vertical? – at Romford, London
Vinoth Jayakumar retweeted
Amex just enabled agents to pay on their network.
Thy launched the Agentic Commerce Experiences (ACE) developer kit.
And this is SUPER different to the other payments networks in a lot of ways.
Why?
.@Revolut is one of the fastest growing financial institutions in the world
@aleximm and @santiago__rdz on the outlier numbers in Revolut's 2025 Annual Report:
- Revenue grew 46% to £4.5 billion
- Profit before tax grew 57% to £1.7 billion, realizing a 38% margin
- Retail customers grew 30%, having added 16 million in 2025 alone
- 11 different product lines exceeded £100 million revenue
- Return on equity (ROE) is a category-breaking 35% (despite over capitalization)
Read more: a16z.news/p/the-algorithm-th…
Vinoth Jayakumar retweeted
ASEAN’s payments shift isn’t just “cashless growth.”
It’s regional infrastructure in motion.
The latest paper from the International Monetary Fund frames digital payments as a new layer of economic integration across Southeast Asia.
Here’s what’s happening 👇
Domestic systems are scaling fast:
Rails like PromptPay and QRIS have accelerated financial inclusion, expanded e-money adoption, and fueled fintech ecosystems.
Cross-border links are emerging:
Bilateral QR + fast-payment integrations are lowering costs and shortening settlement times, especially for SMEs and travelers.
Local currency settlement is strategic:
Reducing FX dependency and enabling direct local currency flows strengthens resilience and deepens intra-ASEAN trade.
Growth creates new coordination risks:
Fragmentation, AML/CFT gaps, cyber exposure, and uneven legal frameworks require harmonized supervision and interoperable standards.
The next step is multilateral:
Bilateral bridges matter but scaling will require broader frameworks like Project Nexus and tighter central bank coordination.
This isn’t just about QR codes.
It’s about turning domestic payment rails into a regional economic backbone.
Vinoth Jayakumar retweeted
Excellent breakdown of crypto neobanks by @0xfishylosopher.
There are 20+ crypto neobanks all essentially building the same product - differentiation is more critical than ever.
The clearest opportunities: (1) small, geographic monopolies through stablecoin banking, or (2) novel credit primitives, such as undercollateralized lending models or unique private credit opportunities.
Vinoth Jayakumar retweeted
A few thoughts about PayPal, nearly 12 years after I left.
I woke up this morning to dozens of messages from former PayPal colleagues. It pushed me to finally speak up.
I never spoke publicly about the company after I left. Part of that was loyalty to John Donahoe, who gave me an unlikely opportunity, handing the reins of PayPal to a startup guy who, on paper, had no business running a then 15,000-person organization. But part of it was something else: I had left. I chose not to stay and fight for the changes I believed in. Speaking from the sidelines felt like armchair commentary. Easy opinions without the burden of execution. So I stayed quiet.
But twelve years of silence is long enough. And today's news makes it clear the pattern I've watched unfold isn't self-correcting.
I left PayPal in 2014 because I was deeply frustrated. We had executed a silent turnaround of a company that had lost its soul. We brought back engineering talent, shipped good products quickly, and acquired Braintree and Venmo. The company was on a tear. So much so that Carl Icahn felt compelled to accumulate a position in eBay and push for a PayPal spinoff. At the time, eBay decided to fight Icahn.
It was a difficult period for me, caught between what I felt was right for PayPal and my loyalty to the eBay team.
This is when Mark Zuckerberg approached me to join Facebook. The combination of his conviction that messaging would become foundational, the appeal of going back to building products at scale, and my growing exhaustion with the internal politics at PayPal and eBay eventually convinced me to leave and join one of the best teams in the world, one I had admired for a long time.
In the summer of 2014, I met John in a café in Portola Valley and told him I had decided to leave. During that conversation, he told me that Icahn had effectively won the fight, that PayPal was going to become an independent company, and he tried to convince me to stay on as CEO, but I had already said yes to Mark, and my word is my bond. There was no turning back.
After my departure, the board scrambled to find a replacement, and it took a few months for them to land on Dan Schulman. The leadership style shifted from product-led to financially-led. Over time, product conviction gave way to financial optimization.
Much of the momentum we had created still persisted and carried the company forward, mainly driven by Bill Ready, who came over in the Braintree acquisition and rose to COO. Under his leadership, Venmo grew exponentially, and total payment volume (TPV) accelerated quickly. But the shift under Schulman became more pronounced after Bill's departure at the end of 2019. With him went the product conviction that had defined the post-spinoff momentum. Then, for a period, COVID-fueled online shopping hid a lot of the company's new weaknesses.
During that period, the company made a fundamental miscalculation: it optimized for payment volume instead of margin and differentiation. It leaned into unbranded checkout, where PayPal had the least leverage, instead of branded checkout, where the margin, data, and customer relationship actually lived.
Visa masterfully structured a deal that effectively ended PayPal's ability to steer customers toward bank-funded transactions, which had been a core driver of PayPal's economics. Not long after, PayPal lost a significant portion of eBay's volume. Over time, it saw its share of checkout among its most profitable customers steadily erode as Apple Pay and others continued to execute well.
The same pattern repeated itself across lending, buy-now-pay-later (BNPL), and new rails.
On lending, PayPal missed the opportunity to turn it into a platform weapon. Products like Working Capital were conservative, short-duration, and optimized for loss minimization. Lending never became programmable, never became identity-driven, and never became a reason for merchants or consumers to choose PayPal over something else.
The missed opportunity in BNPL was even more striking. Klarna, Affirm, and Afterpay didn't just offer installment payments, they built consumer finance brands, persistent credit identities, and new shopping behaviors. PayPal saw the BNPL turn, entered the market, and had every advantage: distribution, trust, and merchant relationships. But BNPL was treated as a defensive checkout feature rather than an offensive category. There was no attempt to turn it into a core consumer relationship, no super-app behavior, and no meaningful differentiation for merchants. Others built platforms, PayPal added a feature.
The failure to lean into building and owning new rails followed the same logic. After the spinoff, PayPal had a once-in-a-generation opportunity to build a global, at scale payment network. Instead, the company focused on building on top of existing networks and third-party rails.
More recently, that mindset carried over to PYUSD. Technically, the product was sound. Strategically, it launched without a compelling transactional reason to exist. PYUSD had distribution, but no organic demand. It was not embedded deeply enough into flows to become a true settlement layer, a cross-border merchant rail, or a programmable money primitive. It sat adjacent to the product instead of inside the core of it.
Acquisitions during this period followed a similar pattern. Honey was not a strategic acquisition for PayPal. It added activity, but not leverage. It lived outside the transaction, monetized affiliate economics rather than payment economics, and never meaningfully strengthened PayPal's control of the customer or the checkout moment. Xoom solved a real problem in remittances, but it never compounded PayPal's advantage. It scaled volume without changing the underlying rails, identity graph, or settlement model, and as importantly, it didn’t cater to a high-value, high-margin customer archetype.
None of these were bad companies. They were just a wrong fit for PayPal and became unnecessary distractions.
The board eventually recognized the problem. In 2023, they brought in Alex Chriss, an Intuit veteran with a strong product background, explicitly to restore product conviction. It was the right instinct.
But Alex came from software, not payments. He understood SMB product development. He didn't have the muscle memory for transaction economics, network effects, or settlement infrastructure.
In hindsight, he also made an error: clearing out much of the leadership team that understood payments deeply. Executives with years of institutional knowledge departed within his first year.
This morning, Alex was removed as CEO. Branded checkout grew 1% last quarter. The board tapped another operator, Enrique Lores, the former HP CEO who's been on the PayPal board for five years.
I don’t know Enrique. And he might be a great leader, but on paper at least, he’s a hardware executive. For a payments company.
The common thread through all of this is incentive design. Once PayPal became independent, short/medium-term predictability beat long-term vision and ambition. Stock performance mattered more than platform risk and network opportunity. Financial optimization replaced product conviction.
I'm not claiming I would have made every call differently. Running a public company at scale involves tradeoffs I didn't have to make after I left. But the pattern, choosing predictability over platform risk, again and again, was a choice, not an inevitability.
Over time, the company that had every advantage and could’ve become the most consequential and relevant payments company of our time, lost its mojo, its product edge, and its ability to compete in a market that’s being rewired and reinvented in front of our eyes.
That's the part that's hardest to watch for a company I care so deeply about.
Vinoth Jayakumar retweeted
WOW! 🚨 Nubank just got OCC conditional approval for a US bank charter.
Huge for the US market
—
Monzo tried. Failed. Is trying again.
Bunq waited 301 days. Withdrew. Now trying again.
N26 abandoned the US entirely.
Revolut still doesn't have one.
Nubank applied September 30. Approved January 29.
121 days.
—
The difference? They showed up profitable.
$4.2B quarterly revenue. 31% ROE. $783M net income last quarter.
127 million customers. $0.90 cost to serve per month.
Traditional banks spend $5+.
—
This is the world's most valuable LatAm financial institution ($77B market cap) proving its thesis works outside home turf.
60% of Brazilian adults bank with Nubank.
1 in 4 banked Mexicans use Nubank.
Now they're bringing the full stack to the US — deposits, credit cards, lending, digital asset custody.
—
The board tells you everything:
Roberto Campos Neto (former Brazilian Central Bank president) as chair.
Brian Brooks (former acting OCC Comptroller) as director.
Cristina Junqueira running the US operation.
—
Timeline: 12 months to capitalize. 18 months to open. Still needs FDIC and Fed approval.
Target market? "Consumers that know the brand" — read: the 65M+ Hispanic Americans, 92% of whom already use fintechs.
—
Every US neobank is watching.
Every European challenger that couldn't crack the OCC is watching.
If Nubank replicates even a fraction of their LatAm playbook here, the competitive math changes for everyone. – at Romford, London
Vinoth Jayakumar retweeted
Asia is quietly building the next global retail payment rail.
No cards. No SWIFT. No hype.
Countries across Asia have linked national QR payment systems into live cross-border corridors Japan, Singapore, Malaysia, Indonesia, Vietnam, Hong Kong, Cambodia, Laos, with China inbound next.
Why this matters:
- QR is becoming a retail common language.
- Payments run via national rails, not global card networks.
- FX, clearing, compliance happen under the hood.
- Central banks & regulators are leading, not Big Tech.
This isn’t a product.
It’s infrastructure.
What’s coming next:
- Real-time FX.
- 24/7 settlement.
- Wallet and digital ID integration.
- Potential stablecoin settlement in the backend.
Asia is showing an alternative model for global payments:
Not one global network but a federation of connected national rails.
When this scales, “cards vs QR” won’t be a UX debate anymore.
It’ll be about infrastructure efficiency.
Vinoth Jayakumar retweeted
🚨 JUST IN: Revolut joins Google's agentic payments protocol AP2.
The real news buried in Revolut's announcement: They didn't just join. They contributed A2A payment flows to the protocol itself.
That's not supporting a standard. That's shaping one.
---
Why Revolut's update to A2A matters here:
- Google built AP2 around cards.
- Fine for the US.
- But A2A is how Europe moves a good chunk of money.
- Open banking. Faster payments. PSD2.
Revolut just made AI shopping work with how Europeans pay.
---
If AI agents become the checkout, whoever controls the payment rails underneath becomes a power player.
That's a $500B+ prize.
---
The problem:
- Merchants don't want to integrate 4 different AI payment protocols.
- They barely want to integrate one.
- Right now everyone's "supporting everything." Visa supports Google.
- Mastercard supports Google. Stripe has its own thing. Coinbase is in there. Cloudflare too.
It's exhausting to track. Imagine being a merchant.
So Revolut saying - we got this and we made it work for you. Is a solution. For now.
---
Does this matter?
Well, we're early, we have:
- Multiple competing protocols
- Big names picking sides
- Limited Consumer adoption
- Limited Merchant integration at scale
Let's see if the holiday season in 2026 is an inflection point for agents buying things.
Vinoth Jayakumar retweeted
Stripe’s strategy is coming into focus and it’s bigger than payments.
They’re positioning to become the financial operating system of the next economy:
- M&A as a core lever to control more of the financial stack.
- Crypto infra by default: Bridge & Tempo signal stablecoins moving from edge case to primary rails.
- Agentic commerce at scale, with Stripe as the payment layer for AI (Salesforce, OpenAI, Anthropic).
By 2026, this looks less like a payments company…
and more like the OS for programmable money
@stripe
Vinoth Jayakumar retweeted
The tokenized deposit vs stablecoin fight is a distraction.
Banks multiply money. Stablecoins move it. We need both.
---
The tokenized deposit maxi says:
"Stablecoins are unregulated shadow banking. Everyone will prefer banks when they tokenize."
Some banks and central banks love this narrative.
--
The stablecoin maxi says:
"Banks are dinosaurs. We don't need them on-chain. Stablecoins are the future of money."
Crypto natives love this narrative.
---
Both miss the point.
Banks create cheap credit
Your $100 deposit becomes $90 in loans (and more)
- F500 companies park $500M at JPM.
- Get giant credit lines in return.
- Below-market rates.
The deposits are the bank's business model.
Tokenized deposits preserve this on-chain - but they're ONLY for bank customers.
---
Stablecoins work like cash
Circle and Tether hold 100% reserves. $
- 200B in T-Bills.
- Capture 4-5% yield.
- Pay you zero.
You get money outside any bank's perimeter. $9 trillion moved cross-border via stablecoins in 2025
Works anywhere with Internet. 24/7 without permission.
---
The future is both.
- F500 holds tokenized deposits at JPM.
- Gets favorable credit lines for US operations.
- Pays Argentine supplier.
- Swaps tokenized deposits for USDC.
On-chain. Atomic.
Best of both.
Use legacy rails where they work. Stables where they don't.
---
A rubric:
- Tokenized deposits → cheap credit inside bank perimeters
- Stablecoins → cash-like settlement outside bank rails
- On-chain swaps → instant conversion, zero settlement risk
---
Onchain > APIs
Smart contracts compose logic across multiple businesses and persons.
Deposit --> stablecoin --> invoice paid --> downstream payment happens.
---
e.g.
- When supplier's deposits land
- Smart contracts trigger inventory financing,
- Working capital lines, currency hedges.
From banks and non banks!
---
The future is on-chain
- Tokenized deposits solve for cheap credit.
- Deposits stay captive.
- Banks lend against them.
- Stablecoins solve for portability.
- Money moves anywhere without permission.
---
The tokenized deposit maxi wants regulated rails only.
The stablecoin maxi wants to kill banks.
The future needs both.
F500s want giant credit lines from their bank AND instant global settlement.
Emerging markets want local credit creation AND dollar access. DeFi wants composability AND real-world asset backing.
The fight over which one wins misses what's happening. The future of finance is on-chain. Both tokenized deposits and stablecoins are infrastructure for getting there.
Stop arguing about winners. Start building interoperability.
Composable money.
ST.
Vinoth Jayakumar retweeted
Booking.com is the world's largest online travel agency. It's a massive achievement for Revolut to integrate its Revolut Pay at the checkout. It took 2 years from start to finish to get it done.
It's a game-changer for Revolut, the customer and the merchant.
Consumer relationship meets in-built distribution with closed-loop loyalty, merchants' data opens new opportunities, while the network effect is ever-growing.
Revolut announced a partnership with @bookingcom.
When booking on Booking.com, customers can choose Revolut Pay as their payment method and pay for their stay with a single click via the Revolut app.
This integration allows for "a faster, more secure, and ultimately more rewarding payment experience for users," says Alex Codina, General Manager of Acquiring at @Revolut.
9M Revolut customers have already made purchases on Booking.com - @pressecitron
































