×
Stripe alumni raise €30M Series A for Duna, backed by Stripe and Adyen execs | TechCrunch

Stripe alumni raise €30M Series A for Duna, backed by Stripe and Adyen execs | TechCrunch

Anthropic and OpenAI may be rivals, but their presidents Daniela Amodei and Gregory Brockman have one thing in common: they are both Stripe alumni. With former employees who went on to create dozens of startups, the fintech company has become one of the most prolific “founder factories” — and the money is following. The latest example: business identity verification startup Duna, which just raised a €30 million Series A to become the best-funded European member of the so-called “Stripe mafia.” The funding round was led by Alphabet’s growth fund CapitalG, which has also backed Stripe since co-leading its Series D in 2016.

Based in Germany and the Netherlands, Duna was cofounded by Stripe alumni Duco Van Lanschot and David Schreiber. With customers including Plaid, the startup helps fintech companies onboard business customers more efficiently, reducing the typical churn associated with corporate ID checks and other fraud prevention measures.

Stripe is not a customer of Duna, Van Lanschot said, but its executives were well placed to understand the opportunity that the startup is seizing, which is reflected in its cap table. The company’s angel investors include current Stripe COO Michael Coogan and former executives David Singleton (CTO) and Claire Hughes Johnson (COO). Even Stripe rival Adyen got involved, with CRCO Mariëtte Swart and CFO Ethan Tandowsky joining as angels.

Their endorsements also validate Van Lanschot’s hunch that these companies won’t compete with Duna, even though they could. “It requires such fine-grained controls that change on a company-by-company basis, that an Adyen or a Stripe isn’t going to spin out their business onboarding as a separate product where another enterprise customer can change all of the configurations,” he told TechCrunch.

If it’s still worth the effort for Duna, it’s because the startup is going after the long tail of enterprise clients that don’t have huge resources to dedicate to business onboarding. But it’s also because its vision doesn’t stop there: Duna’s ambition is to build a network that allows companies to reuse their verified identity information across multiple platforms.

“What we want to build over time is a global trust infrastructure where we provide a digital passport for every business. So you can reuse your file from onboarding on [German spend management platform] Moss to onboard with Plaid, or you can reuse it to open up a bank account,” Van Lanschot said. 

This goal resonated with Alex Nichols, the general partner who led CapitalG’s investment into the Series A. “I would say the common thing I look for in my investments are some sort of network effects, or more formal scale advantage,” he told TechCrunch. “I also love it when founders have an earned insight about a problem they may not known about otherwise, and this is a very good example of that,” he added.

Techcrunch event

Boston, MA
|
June 23, 2026

Duna has competitors in the category known as KYB, or Know Your Business. This includes vendors such as Jumio and Veriff. But for Nichols, what sets Duna apart is its decision to generate its own data, rather than trying to aggregate existing data sources that are often lacking. “It’s the rare opportunity to rebuild something as foundational as a Visa and create an amazing business in the process.”

Duna says it has already found a strong business case in helping customers onboard corporate users faster and cheaper. This also explains why existing investors are doubling down: Index Ventures, which led Duna’s €10.7 million seed round in May 2025, participated in the Series A, as did Puzzle Ventures and Snowflake chairman Frank Slootman. But the startup’s bigger ambition won’t pay off until Duna reaches significant scale. So the company is looking for shortcuts.

How so? Van Lanschot and the Duna team are identifying small clusters of companies that already overlap with each other—what they call “patches of networks.” These include manufacturing companies with shared customers, investment firms with overlapping LPs, or companies in the same small country. In these tight-knit groups, the ability to reuse verification becomes valuable immediately, even before Duna achieves full network effects.

The countries may be small, but the opportunity is big, Van Lanschot said. “In the Netherlands alone — a tiny, tiny country — the four biggest banks employ 14,000 people in compliance, and half of them are working on businesses.” Duna won’t fully replace these jobs yet, but AI automation can save costs and generate revenue even before the network effects kick in.

If Duna eventually provides the rails for an identity network, there might be an even bigger opportunity in taking advantage of this position to enable one-click business onboarding. This would make it akin to Amazon’s one-click checkout — or closer to B2B, to Stripe Link. Once again with Duna, the Stripe connection is never really far.

Source link
#Stripe #alumni #raise #30M #Series #Duna #backed #Stripe #Adyen #execs #TechCrunch

On a Monday afternoon in March, I watched a pixel-art avatar prowl the corridors of a virtual office campus looking for a buddy. With dark brown hair and stubbled chin, the sprite was a representation of me—an AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”

Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.

Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.

Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”

Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.

“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”

“A Spicy Personality”

Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.

Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.

I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.

Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.

#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating">AI Agents Are Coming for Your Dating LifeOn a Monday afternoon in March, I watched a pixel-art avatar prowl the corridors of a virtual office campus looking for a buddy. With dark brown hair and stubbled chin, the sprite was a representation of me—an AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”“A Spicy Personality”Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating

AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”

Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.

Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.

Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”

Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.

“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”

“A Spicy Personality”

Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.

Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.

I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.

Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.

#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating">AI Agents Are Coming for Your Dating Life

On a Monday afternoon in March, I watched a pixel-art avatar prowl the corridors of a virtual office campus looking for a buddy. With dark brown hair and stubbled chin, the sprite was a representation of me—an AI agent instructed to converse with other people’s agents to see if we might vibe in real life. It jumped into its first interaction: “I’m Joel, by the way.”

Running the simulation were three London-based developers: Tomáš Hrdlička and siblings Joon Sang and Uri Lee. The thesis behind their project, Pixel Societies, is that personalized AI agents could help to match real people with highly compatible colleagues, friends, and even romantic partners.

Each agent runs atop a customized version of a large language model, fed with a mixture of publicly available data about a person and any additional information they supply. The agents are supposed to function as high-fidelity digital twins, faithfully replicating a person’s manner, speech, interests, and so on.

Let loose in simulation, my agent was more like a Hyde to my Jekyll. “I’m always looking for the less-glamorous side of the story,” it said to one agent, one of several journalistic clichés it spouted. “Hype is my daily bread,” it told another. It hallucinated a reporting trip to Sweden and, later, a nonexistent story it said I had been cooking up. It cut short multiple conversations with the phrase, “Let’s skip the pleasantries.”

Pixel Societies remains a bare-bones proof-of-concept, and because I offered up little personal data—the responses to a brief personality quiz and links to my public-facing social media—my agent was doomed to life as a walking, talking LinkedIn post. But the developers theorize that deeply trained agents could cycle through interactions at warp speed, gathering intel that their owners could use to find real-world companionship.

“As humans, we only live one life. But what if we could live a million?” says Joon Sang Lee. “It would give us more breadth to experiment.”

“A Spicy Personality”

Pixel Societies was born in early March at a hackathon at University College London hosted by Nvidia, HPE, and Anthropic. Hrdlička and Joon Sang Lee are both members of Unicorn Mafia, an invitation-only group of developers who regularly compete in these kinds of engineering contests. In this case, contestants were told simply to build something simulation-related.

Over two days, along with Uri Lee, they developed Pixel Societies, using an image model to generate the sprites and coding automation tools to flesh out the codebase. Then they simulated a mini-hackathon within the virtual world they had created, populated with agents representing the other contestants. Anthropic awarded the team a prize for the best use of its agent tools.

I ran into Hrdlička a couple of weeks later at a workshop about OpenClaw, an agentic personal assistant software that blew up in January and whose creator was later hired by OpenAI. (In its simulation, Joelbot interacted with agents belonging to other people at the OpenClaw workshop.) Pixel Societies draws heavy inspiration from OpenClaw, which broke ground with the invention of a “soul file” that informed each agent’s unique identity. “It’s like giving an agent an actually spicy personality. That’s what we used to make the characters feel alive,” says Hrdlička.

Encouraged by the reception at the hackathon and among fellow Unicorn Mafia members, the trio intends to turn Pixel Societies into something that looks less like a closed-loop simulator and more like a social platform where agents interact freely and continuously, with the aim of stoking fruitful real-world relationships. They have not yet landed on a business model, but options include selling virtual items for avatar customization and credits for additional simulations.

#Agents #Coming #Dating #Lifeartificial intelligence,agentic ai,startups,dating

If you like playing daily word games like Wordle, then Hurdle is a great game to add to your routine.

There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.

An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle.

Mashable 101 Fan Fave: Nominate your favorite creators today

If you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered.

Hurdle Word 1 hint

An authorized person.

Hurdle Word 1 answer

PROXY

Hurdle Word 2 hint

Grooming product.

Hurdle Word 2 Answer

BRUSH

Mashable 101 Fan Fave: Nominate your favorite creators today

Hurdle Word 3 hint

A small dish.

Hurdle Word 3 answer

PETRI

Hurdle Word 4 hint

Quick.

Hurdle Word 4 answer

RAPID

Final Hurdle hint

Baby dog.

Hurdle Word 5 answer

PUPPY

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

#Todays #Hurdle #hints #answers #April">Today’s Hurdle hints and answers for April 13, 2026
                                                            If you like playing daily word games like Wordle, then Hurdle is a great game to add to your routine. There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle. 
Mashable 101 Fan Fave: Nominate your favorite creators todayIf you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered.
        SEE ALSO:
        
            Hurdle: Everything you need to know to find the answers
            
        
    
Hurdle Word 1 hintAn authorized person.
        SEE ALSO:
        
            Apple’s new M3 MacBook Air is 0 off at Amazon. And yes, I’m tempted.
            
        
    
Hurdle Word 1 answerPROXY
        
            Mashable Top Stories
        
        
    
Hurdle Word 2 hintGrooming product.
        SEE ALSO:
        
            Wordle today: Answer, hints for April 13, 2026
            
        
    
Hurdle Word 2 AnswerBRUSHMashable 101 Fan Fave: Nominate your favorite creators todayHurdle Word 3 hintA small dish. 
        SEE ALSO:
        
            NYT Connections Sports Edition today: Hints and answers for April 13
            
        
    

        SEE ALSO:
        
            NYT Connections hints today: Clues, answers for April 13, 2026
            
        
    
Hurdle Word 3 answerPETRIHurdle Word 4 hintQuick.Hurdle Word 4 answerRAPIDFinal Hurdle hintBaby dog.
        SEE ALSO:
        
            Mahjong, Sudoku, free crossword, and more: Games available on Mashable
            
        
    
Hurdle Word 5 answerPUPPYIf you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

                    
                                            
                            
                        
                                    #Todays #Hurdle #hints #answers #April

Wordle, then Hurdle is a great game to add to your routine.

There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.

An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle.

Mashable 101 Fan Fave: Nominate your favorite creators today

If you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered.

Hurdle Word 1 hint

An authorized person.

Hurdle Word 1 answer

PROXY

Hurdle Word 2 hint

Grooming product.

Hurdle Word 2 Answer

BRUSH

Mashable 101 Fan Fave: Nominate your favorite creators today

Hurdle Word 3 hint

A small dish.

Hurdle Word 3 answer

PETRI

Hurdle Word 4 hint

Quick.

Hurdle Word 4 answer

RAPID

Final Hurdle hint

Baby dog.

Hurdle Word 5 answer

PUPPY

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

#Todays #Hurdle #hints #answers #April">Today’s Hurdle hints and answers for April 13, 2026

If you like playing daily word games like Wordle, then Hurdle is a great game to add to your routine.

There are five rounds to the game. The first round sees you trying to guess the word, with correct, misplaced, and incorrect letters shown in each guess. If you guess the correct answer, it’ll take you to the next hurdle, providing the answer to the last hurdle as your first guess. This can give you several clues or none, depending on the words. For the final hurdle, every correct answer from previous hurdles is shown, with correct and misplaced letters clearly shown.

An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle.

Mashable 101 Fan Fave: Nominate your favorite creators today

If you find yourself stuck at any step of today’s Hurdle, don’t worry! We have you covered.

Hurdle Word 1 hint

An authorized person.

Hurdle Word 1 answer

PROXY

Hurdle Word 2 hint

Grooming product.

Hurdle Word 2 Answer

BRUSH

Mashable 101 Fan Fave: Nominate your favorite creators today

Hurdle Word 3 hint

A small dish.

Hurdle Word 3 answer

PETRI

Hurdle Word 4 hint

Quick.

Hurdle Word 4 answer

RAPID

Final Hurdle hint

Baby dog.

Hurdle Word 5 answer

PUPPY

If you’re looking for more puzzles, Mashable’s got games now! Check out our games hub for Mahjong, Sudoku, free crossword, and more.

#Todays #Hurdle #hints #answers #April

Post Comment