Odaily Exclusive丨Polymarket Opens Store in New York, Kalshi Gives Away $50 Supermarket Vouchers: Are Prediction Markets Now Handing Out Eggs Too?

Odaily星球日报Pubblicato 2026-02-04Pubblicato ultima volta 2026-02-04

Introduzione

Polymarket and Kalshi, two leading prediction market platforms, are launching offline promotional campaigns in New York to attract users ahead of the Super Bowl. Kalshi hosted a pop-up event at a local supermarket, offering $50 worth of free groceries to participants, while Polymarket is set to open a "free grocery store" in New York on February 12, alongside a $1 million donation to a local food bank. These initiatives aim to engage users with low-barrier, real-world event predictions, such as gas price changes. The campaigns also appear strategically timed to align with local political discussions around food affordability and potential regulatory changes, including proposed bills that could restrict prediction markets in New York. The author notes that such offline tactics echo classic user-acquisition strategies long used in China’s internet industry.

Original | Odaily Planet Daily (@OdailyChina)

Author | Wenser(@wenser 2010)

"Each generation has its own eggs to claim"—the value of this statement continues to rise!

This time, the two giants of the prediction market—Kalshi and Polymarket—are the ones stirring up this egg-grabbing battle.

To gain more attention ahead of the "American Super Bowl," the two platforms recently started their own "offline promotion performances"—Kalshi gave away $50 worth of free groceries to users at a supermarket in New York; Polymarket went even further, directly launching its long-planned "first free grocery store in New York," scheduled to open on February 12. In the competition for attention and user growth, the prediction market giants, valued at tens of billions of dollars, have chosen the most old-school but effective "offline promotion" route.

Regarding this, we immediately contacted Odaily Planet Daily’s New York-based colleague Connie to get the latest on "Kalshi and Polymarket’s offline promotions" and real information such as "how much $50 can actually buy in New York," to share with our readers.

When Prediction Market Giants Dive into Offline Promotions: Kalshi’s Pop-Up, Polymarket’s "Instant Store"

As one of America’s major metropolises, New York has become a battleground and focal point for the two prediction market giants, Kalshi and Polymarket.

Addressing the increasingly pressing issue of rising living costs in New York and across the U.S., Kalshi and Polymarket have rolled out their big moves—

On February 3, Kalshi 【limited time】 offered $50 worth of free groceries to select users at Westside Market on Third Avenue, 84th Street, to attract more users to participate in various real-event predictions on its platform.

Judging from the surrounding "flyers," "supermarket KT boards," and other promotional materials, Kalshi’s offline promotion更像是一场即兴的“快闪活动”,更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“快闪活动”更像是一场即兴的“极速快闪活动” (pop-up event), collaborating with local supermarkets to place offline materials for a short time, using "free $50 groceries" as "bait" to attract people to line up, participate, and spectate. This was also confirmed by Connie.

Additionally, it's clear that through this pop-up, Kalshi hopes to get more people to join the prediction market by betting on everyday, low-threshold, easy-to-understand questions like "Will New York City's gas price exceed $3.3 this year?" thereby achieving commercial goals like brand marketing and user activation.

Kalshi co-branded pop-up supermarket eggs were snapped up

Compared to Kalshi's somewhat crude and highly commercial approach, Polymarket's preparations were much more thorough.

On February 3, slightly earlier than Kalshi's announcement, Polymarket officially announced that after months of offline preparation, it plans to open the "first free grocery store in New York" on February 12 (EST) by leasing a physical storefront. Additionally, Polymarket donated $1 million to the New York City Food Bank to address the "hunger issue" in the area.

Polymarket also released actual photos of distributing vegetables like tomatoes and eggplants offline, instantly reminiscent of the domestic internet platform's ground promotion era, full of the vibe of "download the APP get eggs" or "first recharge get newcomer gift pack."

It is worth mentioning that Polymarket not only emphasized that "Polymarket's offline store is well-stocked, no purchase necessary," but also called on everyone to donate to the New York City Food Bank at the end of its tweet, encouraging people to take practical action to solve the real "hunger problem" caused by high food costs and high cost of living.

Seeing this, I can't help but sigh—

Fake crypto project ground promotion: Hold offline conferences, eat seafood feasts, shill various fake concept tokens;

Real crypto project ground promotion: Give away vegetables, give away eggs, open offline stores to distribute free food, do charity and public welfare, call on people to donate and show love.

Regarding the real purchasing power of Kalshi and Polymarket's "egg collection activities," we also had a detailed discussion with Connie from Odaily in New York.

The Real Purchasing Power of $50 in New York, USA: 5 McDonald's Meals, 1.5 lbs of Beef, or 2 Days of Food for the Average Person

According to Connie, the real purchasing power of $50 in New York, USA, can be considered "quite valuable."

"Buying a 0.5 lb (about 0.45 kg) portion of beef at a local supermarket in New York costs about $18, so $50 can buy about 1.5 lbs of beef," which is enough protein for an adult's three meals a day. For comparison, the price of one jin (0.5 kg) of beef in China is only about 30 RMB, which is only 1/8 of the cost in New York.

Converting to the well-known "Big Mac Index," the real purchasing power of $50 is also quite astonishing—a cheeseburger combo meal delivery with about 800-1000 calories costs about $10.89, so $50 can buy about 5 combo meals; if you buy a double burger with 580 calories, it only costs about $7.20. Of course, this price is "sky-high" domestically; the same burger combo in China only costs 25-40 RMB, which is only 1/2 the price of the same food in New York.

In other words, spent frugally, $50 is close to covering the food cost for an average person in New York for about 2 days (calculated as 5~6 meals). According to Connie, Kalshi's event attracted many Americans to line up for "free food," and "Americans' enthusiasm for lining up to receive things is even higher than that of Chinese people." Polymarket's "offline free grocery store" is also expected to attract a large crowd to line up and participate. Based on the existing information released by Kalshi and Polymarket, the hard costs of the two platforms' related activities are estimated to be at least $50,000 to $100,000.

Investing so much manpower and resources, beyond doing charity and showing love, Kalshi and Polymarket also have their own "business calculations."

The "Business Strategy" Behind Prediction Market Platforms "Giving Away Eggs": Using Political Issues to Influence Institutional Regulation

None of the above food donation activities by Kalshi and Polymarket were coordinated or communicated with the New York City government; they were spontaneous company actions.

However, the wording and purpose of their external statements are very similar to the "policies" repeatedly emphasized by New York's new mayor, Zohran Mamdani, during his campaign—the latter had proposed "opening publicly owned grocery stores in New York's five boroughs to lower food prices." Furthermore, Zohran Mamdani pointed out that city-owned grocery stores could reduce rent and operating costs through non-profit operating models and the use of public property. This proposal is still in the pilot stage, and a final implementation timetable has not been determined.

On the other hand, as one of the important key states in the U.S., New York's legislators are busy drafting new bills targeting the emerging prediction market industry. Among them, the 《ORACLE Act》 plans to restrict or prohibit New York residents from betting on certain prediction market events and impose stricter restrictions on event-based prediction markets; another piece of legislation plans to require prediction market operators to obtain a state-issued license before operating.

It is clear that some legislative decision-makers still have various concerns about prediction markets, viewing them as similar to unregulated gambling or more susceptible to insider manipulation.

In light of this, although the New York mayor has no direct jurisdiction over the regulation of prediction markets (Odaily Planet Daily Note: Regulatory authority over prediction market platforms belongs to state and federal governments), Kalshi and Polymarket's move may also be an attempt to seek regulatory friendliness through indirect means.

Finally, regardless of the ultimate impact of their "egg-giving" actions, we have to say that China's internet promotion models are at least 5-10 years ahead of the Western world.

Domande pertinenti

QWhat are the two major prediction market platforms mentioned in the article that are conducting offline promotions in New York?

AKalshi and Polymarket.

QWhat specific free benefit did Kalshi offer to users during its flash promotion at a New York market?

AKalshi offered a $50 free food benefit to users.

QWhat is the name of the bill mentioned in the article that aims to restrict or ban New York residents from betting on certain prediction market events?

AThe ORACLE Act.

QHow much did Polymarket donate to the New York City Food Bank, as stated in the article?

APolymarket donated $1 million to the New York City Food Bank.

QAccording to the article, what is the estimated cost of a 0.5-pound portion of beef in a New York supermarket?

AA 0.5-pound portion of beef costs approximately $18 in a New York supermarket.

Letture associate

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbit10 min fa

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbit10 min fa

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit1 h fa

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit1 h fa

Trading

Spot
活动图片