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Nebius is changing the equation for customers buying AI compute, with auctions and dynamic pricing. Chief Revenue Officer Marc Boroditsky: "We ran the cycle and discovered that we were pricing too low." "We are now pricing… dynamically based on an algorithm that takes into consideration historical use, plus existing... show more

The Information

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21,560 просмотров • 7 дней назад •via X (Twitter)

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why7 дней назад

Dynamic pricing could make AI compute more efficient, but customers will probably want clear visibility into what drives each price change.

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“Surge Pricing” in American grocery stores has arrived Kroger partnered with Microsoft to introduce AI-powered technologies for personalized pricing “Kroger just rolled out surge pricing using facial recognition technology: - Determine the maximum price of goods customers are willing to pay - Kroger has the ability to change the prices of their products depending on the facial image of the person buying them - Depending on the image of the person buying the product, they can access our information and dictate that price - Can also use our image to determine how often we buy certain products and increase the price of that product - Dynamic pricing in grocery stores could resemble the airline industry's ticket pricing strategies “This could lead to discriminatory practices using AI as a scapegoat to charge people of different races, different socioeconomic status, different family sizes, and different dietary restrictions different prices for the same products that they are buying” (Kroger, the largest grocery chain in the U.S., denied claims that ESLs would be used for surge pricing, insisting its pricing strategy aims to lower costs for consumers. "To be clear, Kroger does not and has never engaged in 'surge pricing.' Any test of electronic shelf tags is designed to lower prices for more customers where it matters most”) … Yeah right

“Surge Pricing” in American grocery stores has arrived Kroger partnered with Microsoft to introduce AI-powered technologies for personalized pricing “Kroger just rolled out surge pricing using facial recognition technology: - Determine the maximum price of goods customers are willing to pay - Kroger has the ability to change the prices of their products depending on the facial image of the person buying them - Depending on the image of the person buying the product, they can access our information and dictate that price - Can also use our image to determine how often we buy certain products and increase the price of that product - Dynamic pricing in grocery stores could resemble the airline industry's ticket pricing strategies “This could lead to discriminatory practices using AI as a scapegoat to charge people of different races, different socioeconomic status, different family sizes, and different dietary restrictions different prices for the same products that they are buying” (Kroger, the largest grocery chain in the U.S., denied claims that ESLs would be used for surge pricing, insisting its pricing strategy aims to lower costs for consumers. "To be clear, Kroger does not and has never engaged in 'surge pricing.' Any test of electronic shelf tags is designed to lower prices for more customers where it matters most”) … Yeah right

Wall Street Apes

689,035 просмотров • 1 год назад

President Ruto: I have directed that in the next pricing cycle we are going to reduce the price of diesel by Sh10.

President Ruto: I have directed that in the next pricing cycle we are going to reduce the price of diesel by Sh10.

NTV Kenya

13,347 просмотров • 4 месяцев назад

Is Per Seat Pricing Dead in a World of AI: "There are two logical replacements: 1. Value-based pricing. 2. Consumption-based pricing. Talk to customers about consumption based pricing. They do not love it. The problem with value based pricing is customer and vendor have to align on the attribution of value." How do you think about this and the future of pricing in SaaS Marc Benioff Des Traynor Bret Taylor Jesse Zhang

Is Per Seat Pricing Dead in a World of AI: "There are two logical replacements: 1. Value-based pricing. 2. Consumption-based pricing. Talk to customers about consumption based pricing. They do not love it. The problem with value based pricing is customer and vendor have to align on the attribution of value." How do you think about this and the future of pricing in SaaS Marc Benioff Des Traynor Bret Taylor Jesse Zhang

Harry Stebbings

23,605 просмотров • 1 год назад

🚨 American was buying food on Uber Eats and the app says “This price was set by an algorithm using your personal data” A law in New York now requires companies to disclose Dynamic Pricing. Uber Eats is using algorithms to charge people more based on their data “Charging someone more or less for food based on their data is absolutely sick. Like, I am so appalled that this is where we are as a society.” New York’s Algorithmic Pricing Disclosure Act, a first-of-its-kind consumer protection law that took effect on November 10, 2025. This law mandates that any business operating in New York (including apps like Uber Eats) must prominently notify users when prices for goods or services are dynamically adjusted using algorithms that incorporate personal data specific to the consumer Personalized algorithmic pricing (also called surveillance pricing), is where algorithms analyze individual user data to tailor prices

🚨 American was buying food on Uber Eats and the app says “This price was set by an algorithm using your personal data” A law in New York now requires companies to disclose Dynamic Pricing. Uber Eats is using algorithms to charge people more based on their data “Charging someone more or less for food based on their data is absolutely sick. Like, I am so appalled that this is where we are as a society.” New York’s Algorithmic Pricing Disclosure Act, a first-of-its-kind consumer protection law that took effect on November 10, 2025. This law mandates that any business operating in New York (including apps like Uber Eats) must prominently notify users when prices for goods or services are dynamically adjusted using algorithms that incorporate personal data specific to the consumer Personalized algorithmic pricing (also called surveillance pricing), is where algorithms analyze individual user data to tailor prices

Wall Street Apes

258,319 просмотров • 11 месяцев назад

Was ChatGPT's initial pricing based on a model...or a vibe and a guess? With costs rising, the pricing reality is crashing into the expectations set by that $20/month fee. The Equity podcast team dives right into the new AI economics:

Was ChatGPT's initial pricing based on a model...or a vibe and a guess? With costs rising, the pricing reality is crashing into the expectations set by that $20/month fee. The Equity podcast team dives right into the new AI economics:

TechCrunch

67,054 просмотров • 4 месяцев назад

Mark my words, Nebius will be the first Trillion dollar Neo-cloud company and here is why (Save this). Roman Chernin, CEO of Nebius just said on 20VC that Nebius raised prices and demand didn't move. When a company can raise prices and still have more demand than supply, that's the opportunity. Chernin also explained why he is deliberately not charging the maximum. As AI shifts from training, a one time cost to inference, which is the ongoing cost of serving every user and every query, compute pricing becomes the cost structure of the entire AI economy. If Nebius prices customers out, those customers cannot grow, and Nebius cannot grow with them. That is the compounding flywheel built directly into the revenue model. The numbers are already confirming it. Q1 2026 revenue came in at $399 million, up 684% year over year. The AI cloud segment grew 840% and represented 98% of total revenue. Adjusted EBITDA flipped positive to $129.5 million. And Nebius signed a long-term agreement with Meta worth up to $27 billion over five years, a hyperscaler outsourcing its own AI compute stack to a neocloud, which tells you that even companies with $50 billion capex budgets cannot build fast enough. Goldman Sachs says the consensus is underestimating 2027 hyperscaler capex by $500 billion. Every dollar hyperscalers cannot provision themselves flows to neoclouds like Nebius. As that gap widens, Nebius captures the overflow with 3 gigawatts of contracted power already secured and a CEO who just told you raising prices did not dent demand. Our subscribers are already up massively on Nebius and come join Milk Road Pro for our full breakdown, how to size Nebius against the broader neocloud opportunity, and our full AI thesis. Link below!

Mark my words, Nebius will be the first Trillion dollar Neo-cloud company and here is why (Save this). Roman Chernin, CEO of Nebius just said on 20VC that Nebius raised prices and demand didn't move. When a company can raise prices and still have more demand than supply, that's the opportunity. Chernin also explained why he is deliberately not charging the maximum. As AI shifts from training, a one time cost to inference, which is the ongoing cost of serving every user and every query, compute pricing becomes the cost structure of the entire AI economy. If Nebius prices customers out, those customers cannot grow, and Nebius cannot grow with them. That is the compounding flywheel built directly into the revenue model. The numbers are already confirming it. Q1 2026 revenue came in at $399 million, up 684% year over year. The AI cloud segment grew 840% and represented 98% of total revenue. Adjusted EBITDA flipped positive to $129.5 million. And Nebius signed a long-term agreement with Meta worth up to $27 billion over five years, a hyperscaler outsourcing its own AI compute stack to a neocloud, which tells you that even companies with $50 billion capex budgets cannot build fast enough. Goldman Sachs says the consensus is underestimating 2027 hyperscaler capex by $500 billion. Every dollar hyperscalers cannot provision themselves flows to neoclouds like Nebius. As that gap widens, Nebius captures the overflow with 3 gigawatts of contracted power already secured and a CEO who just told you raising prices did not dent demand. Our subscribers are already up massively on Nebius and come join Milk Road Pro for our full breakdown, how to size Nebius against the broader neocloud opportunity, and our full AI thesis. Link below!

Milk Road AI

15,677 просмотров • 4 месяцев назад

This is why Nebius will continue to skyrocket. CRO Marc Boroditsky said the company currently has four customers prepared to sign for every available GPU, which means Nebius is turning away roughly 75% of potential demand. Customers are also trying to reserve tens of thousands of GPUs for next year because they fear the compute will not be available when they need it. That gives Nebius approximately 18 months of demand visibility before accounting for any additional growth in AI workloads.The company has even introduced auctions and spot pricing, which could help it capture higher prices when demand overwhelms supply. Nebius has also disclosed more than $40 billion in customer commitments, providing greater confidence that the infrastructure it is building will be utilized once it comes online. The company now expects to secure 5 gigawatts of contracted power by year end and plans to deploy more than 1 gigawatt of capacity annually beginning in 2027. This means the growth constraint is not customer demand but rather Nebius’s ability to secure power, construct data centers, finance equipment, and install GPUs quickly enough. That creates the bull case because every new cluster that comes online already appears to have customers waiting for it. Nebius also says its largest contracts were won on technical performance and reliability rather than price, showing us that it is competing as a full AI cloud platform rather than a commodity GPU rental provider like other Neoclouds. As long as Nebius can keep converting power into live GPU capacity, demand does not look like the problem. Bullish on Nebius and if you want to see exactly how I’m positioned in Nebius and the rest of the AI cloud buildout, check out my full portfolio below.

This is why Nebius will continue to skyrocket. CRO Marc Boroditsky said the company currently has four customers prepared to sign for every available GPU, which means Nebius is turning away roughly 75% of potential demand. Customers are also trying to reserve tens of thousands of GPUs for next year because they fear the compute will not be available when they need it. That gives Nebius approximately 18 months of demand visibility before accounting for any additional growth in AI workloads.The company has even introduced auctions and spot pricing, which could help it capture higher prices when demand overwhelms supply. Nebius has also disclosed more than $40 billion in customer commitments, providing greater confidence that the infrastructure it is building will be utilized once it comes online. The company now expects to secure 5 gigawatts of contracted power by year end and plans to deploy more than 1 gigawatt of capacity annually beginning in 2027. This means the growth constraint is not customer demand but rather Nebius’s ability to secure power, construct data centers, finance equipment, and install GPUs quickly enough. That creates the bull case because every new cluster that comes online already appears to have customers waiting for it. Nebius also says its largest contracts were won on technical performance and reliability rather than price, showing us that it is competing as a full AI cloud platform rather than a commodity GPU rental provider like other Neoclouds. As long as Nebius can keep converting power into live GPU capacity, demand does not look like the problem. Bullish on Nebius and if you want to see exactly how I’m positioned in Nebius and the rest of the AI cloud buildout, check out my full portfolio below.

Melvin

12,892 просмотров • 18 дней назад

$NBIS is up nearly 30% because this quarter showed the AI compute shortage is translating into better pricing, faster paybacks, higher margins and better financing. Nebius now earns ~$25M per MW on normal contracts and up to $50M for immediate capacity while Q2 deals pay back in under two years and customers fund roughly half the capex upfront. That pricing power is already showing up in the market with its first capacity auction clearing 15% above prior $NVDA Blackwell pricing, AI cloud margins reaching 50% and management saying it could sell all of 2027 capacity today.

$NBIS is up nearly 30% because this quarter showed the AI compute shortage is translating into better pricing, faster paybacks, higher margins and better financing. Nebius now earns ~$25M per MW on normal contracts and up to $50M for immediate capacity while Q2 deals pay back in under two years and customers fund roughly half the capex upfront. That pricing power is already showing up in the market with its first capacity auction clearing 15% above prior $NVDA Blackwell pricing, AI cloud margins reaching 50% and management saying it could sell all of 2027 capacity today.

Shay Boloor

161,621 просмотров • 2 месяцев назад

AI infrastructure has been running in the dark. Controlled by a handful of players, the industry has been held back by hidden pricing, secretive deals, and locked doors. We built to change that. Distributed compute. Transparent pricing. Open access. For everyone. Everywhere. For over two years we have been working to bring light to the dark. Today with the launch of our new brand design, we are giving form to the idea. The lights are on.

io.net

57,061 просмотров • 6 месяцев назад

$NBIS CRO Marc Boroditsky reveals Nebius has four customers ready to sign for every GPU and is turning away 75% of demand, and says there's another 18 months of reasonable clarity "If you look at our pipeline today, for every GPU, we have a customer ready to sign. We have four customers ready to sign for every GPU. You can just think about that for a moment. We're saying no 75% of the time. That's today." "Now, does that continue into the future? If you look at the plans that customers are sharing with us and are looking for commitments with us, it actually moves well into next year. And their willingness right now to sign up for tens of thousands of GPUs in the middle of next year is very high." "And there's a sort of growing level of fear that if you don't actually secure your future, you're not gonna have the compute that you need in order to be able to succeed." "So I would say that there's probably reasonable clarity for another 18 months at the current rates. Beyond that, we're trying to figure it out by actually utilizing new pricing mechanisms. We introduced an auction about a month ago. This week, we also introduced spot price."

$NBIS CRO Marc Boroditsky reveals Nebius has four customers ready to sign for every GPU and is turning away 75% of demand, and says there's another 18 months of reasonable clarity "If you look at our pipeline today, for every GPU, we have a customer ready to sign. We have four customers ready to sign for every GPU. You can just think about that for a moment. We're saying no 75% of the time. That's today." "Now, does that continue into the future? If you look at the plans that customers are sharing with us and are looking for commitments with us, it actually moves well into next year. And their willingness right now to sign up for tens of thousands of GPUs in the middle of next year is very high." "And there's a sort of growing level of fear that if you don't actually secure your future, you're not gonna have the compute that you need in order to be able to succeed." "So I would say that there's probably reasonable clarity for another 18 months at the current rates. Beyond that, we're trying to figure it out by actually utilizing new pricing mechanisms. We introduced an auction about a month ago. This week, we also introduced spot price."

Fireside Alpha

159,737 просмотров • 19 дней назад

🚨 Target is using several forms of dynamic pricing and algorithmic pricing in their stores and through their app Prices are being set based on the data the Target App collects from your phone. Yes, this is real Investigations found the Target app charging higher prices once you are detected in or near a store versus in the parking lot. California even took them to court over this geofencing pricing Prices for the same items like eggs, toilet paper and more can differ between stores and ZIP codes New York law now requires disclosure when prices are set by an algorithm using personal data. Target’s site has displayed notices such as “This price was set by an algorithm using your personal data.” This woman went into a Target store and the employees even confirmed Target is using algorithmic and dynamite pricing and it needs to be banned nationwide

🚨 Target is using several forms of dynamic pricing and algorithmic pricing in their stores and through their app Prices are being set based on the data the Target App collects from your phone. Yes, this is real Investigations found the Target app charging higher prices once you are detected in or near a store versus in the parking lot. California even took them to court over this geofencing pricing Prices for the same items like eggs, toilet paper and more can differ between stores and ZIP codes New York law now requires disclosure when prices are set by an algorithm using personal data. Target’s site has displayed notices such as “This price was set by an algorithm using your personal data.” This woman went into a Target store and the employees even confirmed Target is using algorithmic and dynamite pricing and it needs to be banned nationwide

Wall Street Apes

117,016 просмотров • 14 дней назад

Candy prices change in front of customers at Walmart because of these new electronic pricing tags This means you could pick up an item, put it in your cart, and by the time you get to the checkout the price could be higher How is this not fraud Americans don’t want electronic pricing tags that change during the day. We all fear this leads to dynamic pricing Side note, these candy bar backs used to be $1 not that long ago. Now they’re $3.16

Candy prices change in front of customers at Walmart because of these new electronic pricing tags This means you could pick up an item, put it in your cart, and by the time you get to the checkout the price could be higher How is this not fraud Americans don’t want electronic pricing tags that change during the day. We all fear this leads to dynamic pricing Side note, these candy bar backs used to be $1 not that long ago. Now they’re $3.16

Wall Street Apes

1,588,179 просмотров • 5 месяцев назад

CoreWeave cofounder brannin mcbee says older GPUs and servers still have strong demand, even as new generations ramp up: "Our pricing on Ampere went up during 2025, and our pricing on Hopper stayed within 10% or so of where we started the year." "Why is that happening? I think it's largely driven by inference and the idea that—not every workload needs the latest, greatest GPUs or servers." "There are different types of workloads that need different compute, and the market is efficiently pairing the right GPUs and servers with the workloads that need them." "We see incredibly robust demand all the way back to the Ampere generation, which I believe is six years old at this point."

CoreWeave cofounder brannin mcbee says older GPUs and servers still have strong demand, even as new generations ramp up: "Our pricing on Ampere went up during 2025, and our pricing on Hopper stayed within 10% or so of where we started the year." "Why is that happening? I think it's largely driven by inference and the idea that—not every workload needs the latest, greatest GPUs or servers." "There are different types of workloads that need different compute, and the market is efficiently pairing the right GPUs and servers with the workloads that need them." "We see incredibly robust demand all the way back to the Ampere generation, which I believe is six years old at this point."

TBPN

31,256 просмотров • 6 месяцев назад

"User-based pricing is a thing of the past." How Databricks found out the hard way: "When we started selling Databricks, we were doing $15k, $18k deals annual deals. New rule became: no deals less than my monthly Uber bill. We were adding tons of value. But because we're usage-based, a lot of the use cases weren't driving a lot of usage. So we started asking, how do we capture some of that value? Your proper pricing model is price equals value. If your price is over the value, no one buys. If it's under, you're leaving money on the table. So early days we added a platform fee. Then user fees, all these things to push our price points up to match the value. And one thing that wasn't intuitive: once we started charging for users, people started restricting who could use the product. Which drives down usage. So I said, okay, let's get rid of user pricing. All the users are free. And all of a sudden usage took off. Because now everybody can use it, everybody can get value out of it. Data's growing. Queries are growing. The number of people asking queries is growing. The number of agents asking queries is growing. All of it is tied to usage now. I think user-based pricing is a thing of the past, honestly."

"User-based pricing is a thing of the past." How Databricks found out the hard way: "When we started selling Databricks, we were doing $15k, $18k deals annual deals. New rule became: no deals less than my monthly Uber bill. We were adding tons of value. But because we're usage-based, a lot of the use cases weren't driving a lot of usage. So we started asking, how do we capture some of that value? Your proper pricing model is price equals value. If your price is over the value, no one buys. If it's under, you're leaving money on the table. So early days we added a platform fee. Then user fees, all these things to push our price points up to match the value. And one thing that wasn't intuitive: once we started charging for users, people started restricting who could use the product. Which drives down usage. So I said, okay, let's get rid of user pricing. All the users are free. And all of a sudden usage took off. Because now everybody can use it, everybody can get value out of it. Data's growing. Queries are growing. The number of people asking queries is growing. The number of agents asking queries is growing. All of it is tied to usage now. I think user-based pricing is a thing of the past, honestly."

Turner Novak 🍌🧢

59,916 просмотров • 1 месяц назад

This INSANE pricing ISN’T limited to Shoppers We live in Canada where we’re taxed to DEATH and the Goal is that we cannot afford anything Maybe they want us to smell like the people they are flooding Canada with?

This INSANE pricing ISN’T limited to Shoppers We live in Canada where we’re taxed to DEATH and the Goal is that we cannot afford anything Maybe they want us to smell like the people they are flooding Canada with?

JayGen 𝕏 er🇨🇦

17,283 просмотров • 7 месяцев назад

$MU CEO says the company “delivered an exceptional quarter” as revenue keeps rising even while pricing gains start to moderate. That means more growth is now coming from bits and mix as AI demand broadens across HBM, server DRAM and enterprise SSDs instead of depending on another huge move in spot pricing.

$MU CEO says the company “delivered an exceptional quarter” as revenue keeps rising even while pricing gains start to moderate. That means more growth is now coming from bits and mix as AI demand broadens across HBM, server DRAM and enterprise SSDs instead of depending on another huge move in spot pricing.

Shay Boloor

87,516 просмотров • 13 дней назад

HUGE ‼️ After public pushback Instacart ends dynamic pricing! We are all making a difference! “Instacart is pulling the plug on AI setting different prices for different customers — Effective immediately, Instacart is ending all item price tests on our platform” “The fact that they caved so quickly says to me that they know that they were doing something wrong.” “Think Tank Groundwork Collaborative found that Instacart's algorithmic pricing charged various prices for the same item from the same store. The prices varied by 7% on average, depending on the shopper, which could cost a family of four $4, $1,200 more per year. One example, according to the report, a dozen eggs added to virtual carts at the same time from one Washington, D.C. grocery store rang up at five different prices, ranging from $3.99 to $4.79.” “Instacart insists that this price testing was not dynamic pricing (which is a lie, it was proven to be dynamic pricing) — the FTC is now probing Instacart over these controversial practices.”

HUGE ‼️ After public pushback Instacart ends dynamic pricing! We are all making a difference! “Instacart is pulling the plug on AI setting different prices for different customers — Effective immediately, Instacart is ending all item price tests on our platform” “The fact that they caved so quickly says to me that they know that they were doing something wrong.” “Think Tank Groundwork Collaborative found that Instacart's algorithmic pricing charged various prices for the same item from the same store. The prices varied by 7% on average, depending on the shopper, which could cost a family of four $4, $1,200 more per year. One example, according to the report, a dozen eggs added to virtual carts at the same time from one Washington, D.C. grocery store rang up at five different prices, ranging from $3.99 to $4.79.” “Instacart insists that this price testing was not dynamic pricing (which is a lie, it was proven to be dynamic pricing) — the FTC is now probing Instacart over these controversial practices.”

Wall Street Apes

71,374 просмотров • 9 месяцев назад

Booko (Booko (YC W26)) is bringing dynamic pricing to any business that sells time slots - improving utilization and turning unsold inventory into revenue. Congrats on the launch Arjun Saluja and Will Hall!

Booko (Booko (YC W26)) is bringing dynamic pricing to any business that sells time slots - improving utilization and turning unsold inventory into revenue. Congrats on the launch Arjun Saluja and Will Hall!

Y Combinator

14,848 просмотров • 8 месяцев назад

We launched Agentic Batch Changes this week: the very first coding agent with outcome-based pricing. You only pay when you merge a PR, not per token. Despite the innovation in other verticals—Sierra, Fin, Decagon, and more all charge per resolution—dev tools have remained firmly tied to seat- and usage-based pricing. So why are we doing this? We’re confident in the product, and pricing on outcomes is the clearest, most tangible way to prove it. This pricing puts our incentives in lockstep with yours.

We launched Agentic Batch Changes this week: the very first coding agent with outcome-based pricing. You only pay when you merge a PR, not per token. Despite the innovation in other verticals—Sierra, Fin, Decagon, and more all charge per resolution—dev tools have remained firmly tied to seat- and usage-based pricing. So why are we doing this? We’re confident in the product, and pricing on outcomes is the clearest, most tangible way to prove it. This pricing puts our incentives in lockstep with yours.

Dan Adler

24,225 просмотров • 28 дней назад

No longer a conspiracy theory Instacart has been caught using Dynamic Pricing They are accessing personal data of users and then adjusting prices based on that data. If someone can afford to pay more for items, the prices increase “You may have heard of dynamic pricing. Well now Instacart is accused of using this controversial practice to charge consumers wildly inconsistent prices on the same products. — This is infuriating. Food delivery service Instacart is being accused of charging different prices to different customers on the same grocery items without them knowing. Groundwork, it's a consumer advocacy group, Instacart says Instacart's pricing algorithm could lead to shoppers paying an extra $1,200 on groceries annually. Nearly three-quarters of grocery items it surveyed were sold at different price points. Instacart said the price differences were tests conducted by some retailers to learn what matters most to consumers. It denied using shoppers' personal information to fuel dynamic or customized pricing.”

No longer a conspiracy theory Instacart has been caught using Dynamic Pricing They are accessing personal data of users and then adjusting prices based on that data. If someone can afford to pay more for items, the prices increase “You may have heard of dynamic pricing. Well now Instacart is accused of using this controversial practice to charge consumers wildly inconsistent prices on the same products. — This is infuriating. Food delivery service Instacart is being accused of charging different prices to different customers on the same grocery items without them knowing. Groundwork, it's a consumer advocacy group, Instacart says Instacart's pricing algorithm could lead to shoppers paying an extra $1,200 on groceries annually. Nearly three-quarters of grocery items it surveyed were sold at different price points. Instacart said the price differences were tests conducted by some retailers to learn what matters most to consumers. It denied using shoppers' personal information to fuel dynamic or customized pricing.”

Wall Street Apes

421,040 просмотров • 10 месяцев назад