Connect with us

Crypto World

Kash Raises $2M for Social Media Prediction Markets

Published

on

Kash Raises $2M for Social Media Prediction Markets

Kash, a social-native prediction market platform, has raised $2 million in pre-seed funding to transform how conviction is expressed online. Built directly into social media, and starting with X, Kash turns everyday posts into live, tradable markets on real-world events, embedding forecasting into the social feed itself.

Backed by leading venture investors including Big Brain Holdings, Spartan Group, Coinbase Ventures, Kosmos Ventures, Halo Capital, MoonRock Capital, Polaris Fund, and Fabric VC, Kash is positioning prediction markets where attention already lives: inside the platforms that shape global conversation.

Rather than debating outcomes in comment threads, users can now express conviction through simple interactions with @kash_bot. No new clunky apps. No complex external trading interfaces. Just scroll, quote-post, predict, and let the market price the truth in real time.

“We’re embedding an entirely new financial vehicle where people already live, and enabling users to place, and even permissionlessly create prediction markets, directly from their feed,” said Lucas Martin Calderon, Founder and CEO of Kash.

“People already hold opinions on elections, macro, sports, and culture. Kash transforms those opinions into tradable positions and rewards those who are right.”

Advertisement

Bridging Institutional Infrastructure and Consumer Attention

Before founding Kash, Lucas worked at the intersection of blockchain security and AI, collaborating with governments and tier-one banks to architect secure on-chain systems. He later worked alongside leading crypto hedge funds on high-frequency trading strategies, gaining firsthand experience in how markets aggregate and price information at scale.

Those experiences pointed to a clear shift: prediction markets are approaching an inflection point. The world has never been more uncertain, and as information accelerates and trust fragments, markets will determine what is credible. Kash brings that mechanism directly into where information spreads fastest.

Posts become markets. Engagement becomes a signal. Every prediction is settled transparently on-chain. Leaderboards, dynamic multipliers, and weekly competitive games make forecasting social and participatory, while the underlying infrastructure ensures trustless execution and automated resolution, which virally grow across social media feeds. 

Kash is also extending its infrastructure beyond its core product, working with several companies to embed prediction markets directly into their own platforms and communities, unlocking new forms of engagement and user acquisition. This is the first time large social media accounts can engage with their audience in an entirely new way, making people have skin-in-the-game around any short-lived narrative. 

Advertisement

“Prediction markets are one of the most robust truth-finding mechanisms in finance. The missing piece has been distribution. Kash solves that by embedding markets natively into X, where the information and opinions already flow.” said Lata Persson from Fabric VC. “We’re excited to back Lucas and the Kash team, who bring a rare combination of deep experience in how institutional markets aggregate information, and a clear-eyed view of where consumer attention lives.” 

Why This Moment Matters

Prediction markets have historically lived on niche trading platforms. Meanwhile, billions of users debate outcomes daily on social media without economic accountability.

Kash sits at the convergence of two forces:

  • The financialization of attention
  • The growing demand for real-time, trustless information systems

“We’re not building a feature, we’re defining a new behaviour,” said Lucas. “Prediction markets shouldn’t be confined to professional traders. They should be native to how people interact with uncertainty every day.”

To support this evolution, Kash is forming a Prediction Market Council, bringing together researchers, investors, and operators to define standards and guide the responsible expansion of this emerging category.

Advertisement

Kash’s Technology Is Ridiculously Impressive

Kash is the first and only prediction market protocol that enables: 

  • permissionless prediction market creation: any user can create any market
  • short-lived flash markets: Kash can create markets that last as little as 15 mins to weeks
  • leverage: users can trade with leverage, native to the protocol
  • natively embeds within social media feeds: leveraging familiar and existing user habits

This is only possible through Kash’s custom Bonding Curve Automated Market Maker mechanism, which Lucas created from scratch, fully adapted to social media dynamics and permissionless flash markets for the first time. 

Furthermore, Kash is pioneering how AI is used in prediction markets when it comes to market creation and resolution. Kash is the first protocol that will commercialise the most advanced multi-agentic high-reasoning LLM Council that trustlessly verifies its outcomes using zero-knowledge proof cryptography. 

Path to Launch

Kash has launched its pre-testnet simulation on X through “Kash Flash: The Sovereign Signal,” a weekly competitive prediction series identifying the platform’s most accurate forecasters. Top performers earn “Signal” Tickets, granting early access, testnet privileges, and enhanced mainnet participation.

With pre-seed capital secured, Kash is scaling infrastructure, expanding its team, and accelerating toward a broader launch.  As social platforms continue to dominate global attention, Kash is building the infrastructure that turns conversation into markets, and markets into signals.

Advertisement

About Kash

Kash is a social-native prediction market platform embedded into X, enabling users to trade on real-world events directly within their feed. Founded by Lucas Martin Calderon, Kash combines institutional-grade infrastructure with social-native design to make forecasting accessible, competitive, and economically meaningful. 

For more information: Visit kash.bot | Announcement on X @kash_bot | Follow @lmc_security

Source link

Advertisement
Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Crypto World

BTC close to a bottom in price, but bulls will have to be patient

Published

on

BTC close to a bottom in price, but bulls will have to be patient

Bitcoin is exhibiting textbook bottom formation characteristics across multiple indicators, trading at levels that historically precede significant recoveries, according to onchain analyst James Check. Time — not price — is, however, likely to be the bigger test for bitcoin bulls.

“Every mean reversion model, from technical to onchain, is trading within bottom formation levels, typically seen after the price capitulation event (which December 2018 and June 2022 were examples of),” wrote Check on Tuesday morning as bitcoin plunged through $63,000, seemingly on its way to testing the Feb. 5 panic low of $60,000.

“Either Bitcoin is dead, will no longer mean revert, and all your models are broken,” Check continued. “Or you should be ignoring the bears … and quietly [be] dollar cost averaging [and] stacking sats from here on.”

Check — who correctly urged caution in 2025 about investing in any of BTC treasury companies formed to try and replicate the success of Michael Saylor’s Strategy — acknowledged today that it’s possible or even likely that the price of bitcoin could fall even further from here. Time, though, will be the more important factor. He reminded of the brutal 2022 bear market. Folks remember the price low around $15,600 in December of that year, but bitcoin essentially bottomed six months earlier at about $17,600. The rest was just waiting, and then a final liquidity flush (surrounding the FTX collapse).

Advertisement

“This is literally what a de-risked setup looks like for bitcoin,” concluded Check. “If you’re not actively accumulating bitcoin at this stage, then when?”

Source link

Continue Reading

Crypto World

Anthropic Accuses Three Firms of Using Sophisticated Distillation Attacks

Published

on

Anthropic Accuses Three Firms of Using Sophisticated Distillation Attacks

Artificial intelligence firm Anthropic has accused three AI firms of illicitly using its large language model Claude to improve their own models in a technique known as a “distillation” attack.

In a blog post on Sunday, Anthropic said that it had identified these “attacks” by DeepSeek, Moonshot, and MiniMax, which involve training a less capable model on the outputs of a stronger one.

Anthropic accused the trio of generating “over 16 million exchanges” combined with the firm’s Claude AI across “approximately 24,000 fraudulent accounts.” 

“Distillation is a widely used and legitimate training method. For example, frontier AI labs routinely distill their own models to create smaller, cheaper versions for their customers,” Anthropic wrote, adding: 

Advertisement

“But distillation can also be used for illicit purposes: competitors can use it to acquire powerful capabilities from other labs in a fraction of the time, and at a fraction of the cost, that it would take to develop them independently.”

Anthropic said that the attacks focused on scraping Claude for a wide range of purposes, including agentic reasoning, coding and data analysis, rubric-based grading tasks, and computer vision. 

“Each campaign targeted Claude’s most differentiated capabilities: agentic reasoning, tool use, and coding,” the multi-billion-dollar AI firm said. 

Source: Anthropic

Anthropic says it was able to identify the trio via an “IP address correlation, request metadata, infrastructure indicators, and in some cases corroboration from industry partners who observed the same actors and behaviors on their platforms.”

DeepSeek, Moonshot, and Minimax are all AI companies based in China. All three have estimated valuations in the multi-billion dollar range, with DeepSeek being the most widely internationally recognized out of the three. 

Beyond the intellectual property implications, Anthropic argued that distillation campaigns from foreign competitors present genuine geopolitical risks. 

Advertisement

“Foreign labs that distill American models can then feed these unprotected capabilities into military, intelligence, and surveillance systems—enabling authoritarian governments to deploy frontier AI for offensive cyber operations, disinformation campaigns, and mass surveillance,” the firm said.