Peeking Through Windows, Precision Hijacking? Two Giants of Prediction Markets Engage in Corporate Espionage

foresightnews_api2026-06-05 tarihinde yayınlandı2026-06-05 tarihinde güncellendi

Özet

Polymarket, a prediction market platform, is investigating a suspected corporate espionage case involving its main rival, Kalshi. Polymarket accuses Kalshi of stealing business information and copying product launches through potentially illicit means, compiling a "plagiarism file" documenting over a dozen suspiciously coincidental product releases and marketing campaigns. Key incidents include a February 2026 free-grocery pop-up event, where Kalshi launched an almost identical campaign just nine days before Polymarket's scheduled launch, seemingly to siphon attention. Furthermore, an article leaked Kalshi's plans for a perpetual futures trading product merely an hour before Polymarket's own planned announcement for a similar tool in April 2026. Polymarket executives suspect either an internal mole or physical surveillance, noting that the office of Paradigm—a Kalshi investor—directly faces their Manhattan workspace, leading them to install dark window film. Both Paradigm and Kalshi have dismissed the allegations as baseless and ridiculous. Kalshi claims its product developments are independent and coincidental timing is merely market-driven. The rivalry intensifies as both companies secure significant funding, with Polymarket seeking a $15 billion valuation and Kalshi valued at $22 billion amid growing regulatory scrutiny of the prediction market industry.


By: Marc Vartabedian, New York Post

Compiled by: Luffy, Foresight News


The prediction market platform Polymarket is investigating a suspected case of corporate espionage by a competitor. The platform allows users to place bets on sports events, weather, and geopolitical conflicts. The company alleges its top rival, Kalshi, used improper methods to steal business information and copycat its products.


Led by its 27-year-old CEO Shayne Coplan, the New York-based prediction platform has compiled a "copycat file," documenting over a dozen suspicious incidents: the launch times and product designs of several Kalshi new offerings were strikingly similar to Polymarket's, with coincidences in release timing being alarmingly abnormal.


Matthew Modabber, head of markets at Polymarket, said in a phone interview that the coincidences were simply too many and too abnormal, suggesting a deliberate and aggressive effort to copy their business.


Polymarket CEO Shayne Coplan speaking at the New York Stock Exchange on November 13 last year


The executive did not disclose further details, but people familiar with the matter revealed the company internally suspects two possibilities: one is a mole planted inside Polymarket; the other is a more bizarre suspicion of surveillance.


In recent months, several employees have suggested that Paradigm, an investor in Kalshi, may have been monitoring Polymarket's Lower Manhattan office from across the street. Paradigm's office in New York's SoHo district faces Polymarket's office, with floor-to-ceiling windows offering a direct view into Polymarket's workspace, potentially even observing employees' computer screens. The street-level below houses trendy clothing stores and the upscale restaurant Balthazar.


Due to surveillance concerns, Polymarket specifically applied dark tinted window film to its office windows this spring. An internal employee stated: "The possibility of being spied on was discussed in company meetings. The final conclusion was that, given Kalshi's past conduct, such clandestine surveillance is entirely plausible."


When asked about the espionage allegations, a Paradigm spokesperson responded: "That claim is laughable." Kalshi spokesperson Jack Such responded: "The related accusations are baseless, bordering on delusional. Polymarket is welcome to spend its energy on self-investigation. Kalshi will continue to diligently improve its products."


Kalshi co-founder Tarek Mansour speaking at the Semafor World Economy Summit in Washington, D.C., on April 15


Polymarket's investigation focuses on two points: how Kalshi precisely obtained advance knowledge of its new product launches and marketing campaign schedules, and what level of detail they acquired to enable such efficient and comprehensive replication.


Suspicions within the platform have been accumulating over the past year, and an incident at an offline event in February became the catalyst for the current conflict. Polymarket had been preparing a pop-up grocery store event since last November, scheduled to open in Manhattan on February 12: the first 300 in-store customers would receive free groceries. For this, they signed contracts totaling $643,380 for venue, branding, and execution.


Just nine days before Polymarket's opening, Kalshi suddenly launched an identical free grocery marketing campaign at a Westside supermarket in New York, distributing $50 grocery vouchers with the promotional slogan "Free Market," while simultaneously launching prediction markets on topics like monthly egg price increases.


A Polymarket insider claimed the move was clearly intended to divert traffic from their event. Founder Shayne, who grew up in New York, said the event held special significance for the company, and being maliciously hijacked was very disappointing for the team.


Kalshi's head of communications, Elisabeth Diana, denied copying, stating their grocery marketing plan had been in preparation for a long time and they did not obtain the competitor's event timing through an insider. Kalshi spokesperson Such added that both companies' event inspirations came from the New York Mayor's campaign platform promoting grocery subsidies.


Furthermore, since January, Polymarket had been secretly developing a spot perpetual contract trading tool, allowing users to bet on real-time price movements of assets like stocks without holding the underlying asset, originally scheduled for announcement and launch on April 21. However, just one hour before Polymarket's announcement, the tech media outlet *The Information* published an exclusive article citing anonymous sources, revealing Kalshi was about to launch a similar perpetual contract product.


Polymarket's office is located in a fashionable New York neighborhood, directly across the street from Paradigm


According to sources, Polymarket executives were furious about this.


One source said, "It seemed like they knew we would announce that day, which is very suspicious."


Such explained that Kalshi's perpetual product development started in 2024. He believed *The Information* learned about the plan from a social media teaser Kalshi posted on X on April 13. The teaser showed a video of what appeared to be an infinite loop spring toy with the caption "Timeless," which in finance refers to perpetual futures contracts, contracts that never expire.


Polymarket's "copycat file" includes over a dozen sets of screenshots comparing official announcements, social media posts, and product interfaces from both companies. An executive stated these archived cases represent only one-tenth of all similar incidents.


One page of the file records: On June 10, 2025, at 9:01 AM, Polymarket announced on X an hourly crypto price prediction product, garnering nearly 24 million impressions. On the same day at 9:00 AM, the brokerage Webull jointly announced with Kalshi the launch of an identical product. Polymarket's file notes: "Same day?"


But Such countered, stating Kalshi had already launched a similar product before June 10, 2025, and that day was merely its listing on Webull through partnership. He argued it was actually Polymarket that launched later, making it clear who copied whom.


There are also cases of advertising material collisions. On Friday, August 22 last year, Polymarket ran a Meta ad in California for football betting, with the prominent headline "Hey, California"; just one weekend later, Kalshi launched an almost identical targeted ad with the same headline.


Such stated "Hey, California" is generic promotional language, not protected by trademark or copyright. He argued that claiming corporate espionage based solely on an advertising slogan is illogical.


The feud between the two prediction platforms has intensified in 2026. U.S. lawmakers and regulators are tightening oversight of prediction markets, with the industry facing criticism related to insider trading and war gambling. Meanwhile, capital continues to pour heavily into both leading platforms.


According to data from analytics firm PitchBook, Polymarket, founded in 2020, has raised approximately $2 billion to date, with its latest funding round aiming for a valuation of $15 billion. Kalshi, founded in 2018, has raised $2.6 billion, with its latest valuation at $22 billion, double its valuation from December last year.

İlgili Sorular

QWhat are the two main prediction market platforms involved in the alleged corporate espionage case, as described in the article?

AThe two main prediction market platforms are Polymarket and Kalshi.

QWhat specific incident in February did Polymarket cite as a key event leading to heightened suspicions against Kalshi?

APolymarket cited an incident where, just 9 days before their planned Manhattan pop-up grocery event, Kalshi launched a similar free-groceries promotional event in New York, which Polymarket believed was an attempt to divert traffic from their own event.

QWhat two possibilities does Polymarket internally suspect regarding how Kalshi might have obtained its confidential information?

APolymarket internally suspects two possibilities: that there is a mole within Polymarket, or that Kalshi's investor Paradigm has been conducting surveillance from their office across the street.

QHow did Polymarket reportedly respond to the surveillance concerns regarding Paradigm's office location?

AIn response to the surveillance concerns, Polymarket reportedly installed dark, tinted window film on their office windows during the spring.

QAccording to the article, what was Kalshi's explanation for the coincidental timing of their perpetual futures product announcement with Polymarket's?

AKalshi's spokesperson, Such, explained that their perpetual product development started in 2024 and suggested that the media outlet The Information learned of their plans from a social media teaser Kalshi posted on April 13th, not from inside information about Polymarket's schedule.

İlgili Okumalar

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

U.S. Government Bans Foreign Access to Fable 5, Anthropic Issues Rebuttal On June 12th, the U.S. government ordered AI company Anthropic to immediately suspend all foreign access—including foreign nationals within the U.S. and Anthropic's own foreign employees—to its newly released Fable 5 and Mythos 5 AI models, citing national security concerns. This forced Anthropic to temporarily disable access to both models for all users globally, as it cannot technically differentiate user nationality at scale. The models, released just three days prior, represent Anthropic's highest public capability tier. Fable 5 is the first publicly available model from the advanced "Mythos" family, while Mythos 5 is a less-restricted version for approved cybersecurity and critical infrastructure partners. The government's directive was reportedly triggered by claims from another company that it could "jailbreak" Mythos 5, raising alarm within the Trump administration. Anthropic, in a detailed public statement, strongly challenged this rationale. The company argues the demonstrated "jailbreak" is a narrow, non-generalized technique that merely involves identifying minor, known software vulnerabilities—a capability common to other publicly available models like OpenAI's GPT-5.5 and routinely used by cybersecurity defenders. Anthropic stated it has complied with the order but disagrees with the government's standard, warning that applying it industry-wide would halt all new frontier model deployments. The company criticized the lack of a transparent, fact-based legal process and expressed confidence the situation stems from a misunderstanding. It is working to restore access and will release more technical details within 24 hours. Other Anthropic models remain unaffected.

链捕手14 dk önce

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

链捕手14 dk önce

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

**Raydium Exploit Reveals DeFi's Hidden Risk: Forgotten "Zombie" Contracts** A recent attack on Raydium's deprecated V3 AMM pools resulted in a loss of approximately $1.34 million. The hacker exploited pools that were no longer supported by Raydium's current UI or SDK but remained fully functional and accessible on-chain. This incident highlights a critical, often overlooked category of risk in DeFi: inactive or legacy smart contracts that projects fail to properly decommission. Since March 2025, there have been at least 8 publicly reported attacks targeting such abandoned contracts, with total losses around $10.8 million. Including older pools and deprecated features, the count rises to 10 incidents with roughly $22.5 million in losses. These "zombie contracts" represent a lifecycle management failure rather than a code vulnerability, yet they are typically misclassified under general "code bug" categories in security reports, masking the true scale of the problem. The root cause is that projects often merely document a contract as "deprecated" without taking essential technical steps to secure it: withdrawing remaining assets, disabling external call functions, and implementing ongoing monitoring. These forgotten, under-monitored components become prime targets for attackers. To address this, the industry needs to recognize "zombie contracts" as a distinct risk category and establish standardized decommissioning protocols. Essential steps should include: 1) a formal retirement announcement, 2) removal of all front-end integrations, 3) withdrawal of locked assets, 4) disabling key contract functions, 5) ongoing security monitoring, 6) clear user communication, and 7) a post-mortem analysis. The value of a DeFi project lies not only in its current TVL but also in the security of its historical codebase, which has now become a new attack surface.

Foresight News2 saat önce

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

Foresight News2 saat önce

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

Robots have started to 'consume data,' driving the formation of a new industrial supply chain focused on producing training data for embodied AI. Unlike large language models, which are trained on vast internet text corpora, embodied AI models face a 'data desert' in the physical world. This has created a massive demand for first-person perspective video data (Ego Data), captured by workers wearing cameras in places like Indian garment factories. Companies like Neocambrian AI are establishing 'data factories' where workers perform standardized tasks (e.g., sorting clothes, kitchen organization) to generate thousands of hours of video. Research, such as NVIDIA's EgoScale, demonstrates that scaling this human demonstration data predictably improves robot performance, particularly for dexterous manipulation. This has validated a training path combining large-scale human data for pre-training with smaller amounts of robot-specific data for fine-tuning. The value of different data types varies significantly, forming a 'data pyramid.' The base consists of low-cost, large-scale internet and Ego Data. Higher layers include more expensive motion-capture data (e.g., from data gloves), simulation/synthetic data, and the most costly and scarce layer: real robot teleoperation data. This demand has spawned a layered ecosystem of data suppliers: low-cost data factories, motion capture and alignment specialists, robot-native teleoperation service providers, simulation data companies, and platforms aiming for data standardization. Robot companies themselves are adopting a 'layered procurement' strategy: outsourcing generic Ego Data while building in-house capabilities for robot-specific adaptation data and the critical deployment/failure data generated in real-world applications. The industry is shifting focus from hardware and basic mobility to the data pipelines required for general-purpose capability. While parallels exist to data labeling companies like Scale AI in the LLM boom, the physical complexity of robot data—involving action success ambiguity and sim-to-real gaps—requires more integrated solutions for data collection, annotation, and a continuous feedback loop. The race is on to build the data engines that will teach robots to operate reliably in the unstructured real world.

marsbit4 saat önce

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

marsbit4 saat önce

İşlemler

Spot
Futures
活动图片