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Kalshi fined a MrBeast editor for insider trading on markets related to the YouTube star

An editor for YouTube’s most popular creator, MrBeast, has been accused by the predictions market Kalshi of insider trading on the platform.

After an investigation, Kalshi said it “found reasonable cause” to believe that this editor, Artem Kaptur, had used non-public, insider information about MrBeast videos to inform his betting on matters involving the MrBeast YouTube channel.

Prediction markets like Kalshi and competitor Polymarket allow users to place bets on a wide variety of future events, like who will win a political election, how many albums a certain musician will sell in a week, or when the sequel to a popular film will be announced.

Kalshi did not disclose the specific bets that Kaptur placed about MrBeast, but some markets on the platform allow users to bet on what words the creator will say during an upcoming video — private information that a video editor could feasibly influence. Kalshi users can also trade on when MrBeast will get married, or when his company, Beast Industries, will announce an IPO.

A Beast Industries spokesperson told TechCrunch that the company does not tolerate this behavior, and that this stance extends to company employees, as well as contestants on MrBeast’s Amazon Prime show “Beast Games.” Contestants are also made aware that their knowledge of confidential information precludes them from participating in related prediction markets.

“With regard to this particular matter, we’ve already initiated an independent investigation as part of our overall ongoing efforts to ensure the integrity of our workplace and trust with our global audiences,” the spokesperson told TechCrunch. “We welcome Kalshi — and hopefully others in the space — also taking this issue seriously, but it only works if they are willing to communicate their findings, so we’re hopeful they’ll be more open to that in the future.”

Kalshi says that Kaptur traded around $4,000 on YouTube streaming markets in August and September 2025. He made a $5,397.58 profit, prompting Kalshi to fine him for that amount, plus a $15,000 penalty. Kalshi also banned Kaptur for two years. The company said in its blog post that it will donate the fine to a consumer education nonprofit.

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Kalshi also fined Kyle Langford, a candidate for political office in California, who traded about $200 on his own candidacy, then posted about it on social media.

The markets on platforms like Kalshi and Polymarket are so vast that it’s challenging to ensure that the users trading on them are not using private knowledge to their advantage, which is against the rules. When it comes to securities like stocks, similar behavior is punishable by up to 20 years in federal prison.

The potential for these markets to be manipulated has drawn attention among U.S. lawmakers.

Last month, one Polymarket user suspiciously bet $32,000 that Venezuelan President Nicolás Maduro would be removed from power by the end of January — just hours later, the U.S. military captured Maduro, earning that user a $400,000 payout.

In response, Representative Ritchie Torres (D-NY) proposed legislation that would make it illegal for government employees to trade on prediction markets related to government policy, government actions, or political outcomes.

Kalshi CEO Tarek Mansour said in a Linkedin post last month that he supports the bill, since Kalshi already adheres to the rules it would enforce. He claimed that alleged insider trading cases are not occurring on U.S.-based platforms (both Kalshi and Polymarket are based in the U.S.).

“This American bill only applies to regulated, American companies and not to unregulated, non-American companies, which is where the alleged issues are occurring,” Mansour wrote. “Prediction markets, like any industry, are not a monolith: there are important distinctions that matter.”

Updated, 2/25/25, 3:45 p.m. ET with comment from Beast Industries.

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Passionfroot raises $15M to expand its B2B creator marketplace to the US

Passionfroot, a German startup building a marketplace connecting B2B creators with brands, said on Wednesday it has raised $15 million in a Series A funding round led by Insight Partners.

Rebecca Liu-Doyle, managing director at Insight Partners, said Passionfroot is placed well at a time when creators are specializing as AI companies look for more visibility.

“Passionfroot has the perfect dynamics on both sides to warrant a true marketplace for B2B creators. On the demand side, there is increasing consumerization of the way B2B brands go to market. That’s a product of, in part, AI technology requiring evangelism, narrative building, and education. On the supply side, there are people who have real expertise, understand a market deeply, and want to create quality content,” she told TechCrunch over a call.

With the funding, the Berlin-based startup’s co-founder and CEO, Jen Phan, is moving to New York, where Passionfroot is opening an office to expand its U.S. operations. The company is also opening an office in São Paulo, and expanding its current headcount of 15 employees.

As AI makes it easier to build products, companies are focusing on using creators to improve brand recall and recognition, Phan said.

“Every head of marketing or growth leader I’m talking to is saying really the same thing: AI is commoditizing software and flooding every category with new products, features, and launches. It’s incredibly crowded and noisy. That is why B2B buyers are going to channels like LinkedIn, a creator’s Substack, or a podcast on YouTube to discover new products and tools,” she said.

Phan said over the last year, the company increased its revenue by 13 times, and onboarded clients such as ElevenLabs, Figma, Replit, Framer, and Gamma.

Since its last fundraise in 2024, the company has released an AI agent called Zest, which helps brands create, execute and monitor the performance of campaigns. Passionfruit claims Zest can also help companies find suitable creators both inside and outside the platform that are suited to its marketing strategy.

The startup says it uses a proprietary creator graph based on data about reach and performance from thousands of campaigns. There’s also a wallet that companies can use to pay creators across the globe, and measure their expenditure.

Passionfroot claims it has paid at least $10 million to creators on its platform in the last 18 months.

The company says it is working on helping its clients measure how a campaign is impacting AI citations, and how their brand appears in AI-powered answers. The startup is also planning to build AI features for creators, such as helping them with monetization tips and content ideas.

The funding comes as creator platforms like Substack and Beehiiv move to help creators find better monetization opportunities. Beehiiv launched a new community and ad marketplace last week, and Substack has introduced subscriber-only perks within newsletters.

Passionfroot’s Series A also saw participation from existing investors Creandum, Supernode Global, and s16vc. The company has raised more than $21 million so far.

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Cascade raises $3.5M to help construction firms find and win projects

Cascade, a startup building a platform to help architecture, engineering, and construction firms find and win projects, has raised a $3.5 million seed round from Andreessen Horowitz Speedrun, Ada Ventures, and Snowball VC.

Launched in 2025, Cascade is a result of its founders, Hannia Zia and Joana Ferreira, witnessing firsthand the difficulty construction businesses face with predictably securing work.

“My mother worked in a company that sold materials to construction companies, and my uncle built mansions in the Middle East. They’re incredible at their craft but just don’t have access to the right tools to get more work,” Ferreira told TechCrunch. And Zia recalled the time her father tried starting a construction business back in her native Pakistan: “He just couldn’t get enough projects to sustain himself.”

Zia describes the current process of finding construction projects as a “constant treasure hunt,” with firms having to log into each U.S. state, city, district, county, and federal agency’s portals. “So if you’re really good at building suspension bridges, you have to find all of those opportunities across these disparate portals.” 

Cascade aims to help architecture, construction, and engineering firms on this front by tracking ongoing and upcoming projects, and then using prior tender data to predict which developers are likely to win the deals.

Here’s how the platform works: A company signs up to the platform, and then Cascade uses AI tools to determine which projects they have the best chance of winning. It also predicts what projects are coming up, using different signals and data points across U.S. states, local districts, private contracts, and federal agencies. For example, if a state announces a $100 million affordable housing grant, Cascade will monitor which developers won the grant the last time it was announced. 

“We connect that data, and we tell our customers: ‘Most likely one of these five developers will win this newly announced grant, so go start talking to them to win projects,’” Ferreira explained.

The duo applied to a16z’s Speedrun last September. They said the pressure to do well on demo day and being around the “brilliance” of other founders helped the company sign contracts with firms that have built the JFK and La Guardia airports, Four Seasons hotels, and some data centers. “Speedrun gave us visibility and a stamp of approval to close big deals,” Zia said.

The startup will use the fresh cash to go to market, host industry events, and hire more engineers. 

Other startups in this area include GovWin IQ and ConstructConnect, but Ferreira argues Cascade is a bit more AI-native than these platforms.

“Every time a customer wins a bid, they give feedback, so the system keeps getting smarter. Over time, we’ll have a complete map of the industry that our AI can traverse to predict the best projects and leads for each customer,” she said.

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If you pay a hacker’s ransom, chances are that they’ll come back for more

Governments have long warned not to pay a hacker’s ransom demands, arguing that doing so only lets criminals profit from their cyberattacks and funds the next one. There’s also another reason: The hackers are unlikely to leave you alone if you pay up once, and many will come back demanding more.

In a report published Wednesday, cybersecurity giant Proofpoint said it surveyed 953 companies and found that over one-third of companies that paid a hacker’s ransom were hit with a second extortion demand. The findings underscore the long-held understanding among security researchers and network defenders that it’s impossible to negotiate in good faith with an extortion racket because there’s no incentive for the other side to actually walk away.

Proofpoint’s data shows that ransomware attacks and extortion attacks have evolved from a single transaction where hackers would get paid once and move on, into an effort using multiple forms of leverage, such as retaining stolen data under the threat of publicly releasing it.

While hackers have claimed in the past that they will delete or destroy the victim’s stolen data, past incidents have shown that not to be the case.

Last month, a hack at market research firm Klue exposed data belonging to its customers, including several cybersecurity firms. The company said it struck a deal with the hackers, who claimed to have deleted the data, but the company later conceded that a separate hacking group swiped a sample of the company’s stolen data, leaving its customers exposed to potential future extortion demands.

A similar situation befell Change Healthcare in 2024, after a Russian-speaking ransomware gang stole the health and medical data of the majority of people in America, some 192 million people. Amid a dispute between the hackers and their affiliates (criminal groups often subcontract out attacks), Change Healthcare paid separate ransoms to both groups of criminals to keep the sensitive medical data off of the internet.

Security researchers have long suspected that ransomware gangs and extortion rackets will keep hold of the victim’s stolen data, even after a payment is made. U.K. law enforcement confirmed this during their takedown efforts targeting the prolific LockBit ransomware gang in 2024. Police said that they found victims’ stolen data stored on LockBit’s servers long after they had paid the ransom.

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