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The Antitrust Division meat pricing case is unbelievable. Agri Stats—a number-crunching data service—allegedly turned confidential competitor data into market intelligence that helped dominant processors stabilize or raise prices.

Peter Navarro

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23,655 views • 4 months ago •via X (Twitter)

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Entire cities in America are having their rent prices kept to the highest possible rates by rental algorithms “All designed to keep the overall market at its highest peak. They are not charging what the market can bear. They are controlling the market” “RealPage is a company that operates software that allows landlords to input their data into an algorithm. And then RealPage sets the the prices for all of those landlords. That's old fashioned price fixing using new. Technology we allege, in effect a housing cartel. Talking about an algorithm that aggregates otherwise confidential information that the landlords have that ordinarily they would not share with their competitors. That allows then the algorithm to spit out a pricing recommendation. All designed to keep the overall market at its highest peak.” Here’s how this system works - Large property managers upload their confidential data - The algorithm aggregates this across competitors in the same market along with public data - It recommends rents designed to maximize revenue by pushing prices higher This is price fixing because everyone using these services are all getting the same maximum profit increase in suggested rent prices

Entire cities in America are having their rent prices kept to the highest possible rates by rental algorithms “All designed to keep the overall market at its highest peak. They are not charging what the market can bear. They are controlling the market” “RealPage is a company that operates software that allows landlords to input their data into an algorithm. And then RealPage sets the the prices for all of those landlords. That's old fashioned price fixing using new. Technology we allege, in effect a housing cartel. Talking about an algorithm that aggregates otherwise confidential information that the landlords have that ordinarily they would not share with their competitors. That allows then the algorithm to spit out a pricing recommendation. All designed to keep the overall market at its highest peak.” Here’s how this system works - Large property managers upload their confidential data - The algorithm aggregates this across competitors in the same market along with public data - It recommends rents designed to maximize revenue by pushing prices higher This is price fixing because everyone using these services are all getting the same maximum profit increase in suggested rent prices

Wall Street Apes

25,908 views • 4 months ago

🚨 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

258,170 views • 9 months ago

Surveillance Pricing is happening in America More complaints about American’s data being collected and then charging them different prices based on that data One American saw a $230 price increase on her JetBlue airline ticket the next day after making a social media post saying “I love JetBlue” That data was collected and the price skyrocketed “The airline responded saying, try clearing your cash and cookies, or booking with an incognito window. Critics were quick to claim JetBlue was using what's known as surveillance pricing — Many implied that JetBlue's Tweet was telling the traveler he could get a lower price if he erased the data JetBlue had received about him through his online searches.” “Every day our phones and devices collect massive amounts of personal data on us, and now businesses may be using this trove of personal information to charge each of us a different price for the exact same product or service — experts say surveillance pricing is still being used by ride share apps, major grocery retailers, and even pharmacies” This isn’t a conspiracy theory, this is actually happening The problem is so prevalent that multiple states are considering banning the practice

Surveillance Pricing is happening in America More complaints about American’s data being collected and then charging them different prices based on that data One American saw a $230 price increase on her JetBlue airline ticket the next day after making a social media post saying “I love JetBlue” That data was collected and the price skyrocketed “The airline responded saying, try clearing your cash and cookies, or booking with an incognito window. Critics were quick to claim JetBlue was using what's known as surveillance pricing — Many implied that JetBlue's Tweet was telling the traveler he could get a lower price if he erased the data JetBlue had received about him through his online searches.” “Every day our phones and devices collect massive amounts of personal data on us, and now businesses may be using this trove of personal information to charge each of us a different price for the exact same product or service — experts say surveillance pricing is still being used by ride share apps, major grocery retailers, and even pharmacies” This isn’t a conspiracy theory, this is actually happening The problem is so prevalent that multiple states are considering banning the practice

Wall Street Apes

42,316 views • 4 months ago

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

418,470 views • 8 months ago

Introducing: Manus Data Visualization Say goodbye to spreadsheet chaos. Whether you’re analyzing competitors, prepping for a client meeting, or deep-diving into a market trend- Manus makes it effortless to: ✅ Turn messy data into clean, interactive charts ✅ Skip the hassle of pivot tables and clunky chart builders ✅ Create presentation-ready visuals tailored to your goals Just upload your raw dataset, describe what you need, and let Manus do the heavy lifting. Perfect for dashboards, reports, or your next big presentation. Less formatting. More intelligence. Data clarity is one prompt away.

Introducing: Manus Data Visualization Say goodbye to spreadsheet chaos. Whether you’re analyzing competitors, prepping for a client meeting, or deep-diving into a market trend- Manus makes it effortless to: ✅ Turn messy data into clean, interactive charts ✅ Skip the hassle of pivot tables and clunky chart builders ✅ Create presentation-ready visuals tailored to your goals Just upload your raw dataset, describe what you need, and let Manus do the heavy lifting. Perfect for dashboards, reports, or your next big presentation. Less formatting. More intelligence. Data clarity is one prompt away.

Manus

223,200 views • 1 year ago

No longer a ‘conspiracy theory’ Online retailers are accessing your data and then adjusting prices for items based on that data Airlines are being caught adjusting prices based on data too “This holiday season, you and your neighbor could be shopping for the exact same item and pay different prices — surveillance pricing is and how your personal data plays a role. You may be shopping for gifts from the comfort of your couch, but stores can still see who you are. Most of these companies are charging you a different price based on some data they have about you. It could be your location, it could be your proximity to the store, it could be your shopping history, knowing that you bought a product previously and are willing pay for it again.” “Consumer watchdog president Jamie Court says surveillance pricing is nearly impossible to avoid — Court says his organization has evidence all the major retailers use personal algorithms to nudge a price up or down, targeting data from your Amazon cart, Uber rides, or even the brand of laptop you're using to shop” “For those traveling for the holidays. Airlines will charge you a different price depending upon how many times you go to the website. “Currently, there is no federal regulation for companies that use surveillance pricing. We reached out to the FTC”

Wall Street Apes

519,168 views • 8 months ago

Excerpts from my interview with Bernard Avle on ChannelOne TV on Monday 14th April 2025 on the work the Data Pricing Committee did. Comprehensive work is ongoing with all our stakeholders to ensure we have a facts driven basis for our calls for data prices to be reduced. I believed so previously and I still do. As Minister, I remain committed to engaging all stakeholders and arriving at a conclusion that provides better quality of service at better pricing for the Ghanaian people. It would be delivered! #OnGod. 🦁🇬🇭

Excerpts from my interview with Bernard Avle on ChannelOne TV on Monday 14th April 2025 on the work the Data Pricing Committee did. Comprehensive work is ongoing with all our stakeholders to ensure we have a facts driven basis for our calls for data prices to be reduced. I believed so previously and I still do. As Minister, I remain committed to engaging all stakeholders and arriving at a conclusion that provides better quality of service at better pricing for the Ghanaian people. It would be delivered! #OnGod. 🦁🇬🇭

Sam 'Dzata' George 🦁🇬🇭

112,458 views • 1 year ago

🚨CATHIE WOOD: "SpaceX is 10 years ahead of any competitor. It landed its 1st reusable rocket in 2015 & now it owns two third of the satellite market & something like 85% of mass put into orbit & now a new use case, data centers in space, of course, inspired by Elon Musk himself"

🚨CATHIE WOOD: "SpaceX is 10 years ahead of any competitor. It landed its 1st reusable rocket in 2015 & now it owns two third of the satellite market & something like 85% of mass put into orbit & now a new use case, data centers in space, of course, inspired by Elon Musk himself"

DogeDesigner

107,294 views • 7 months ago

SPACEX SENDS ROUGHLY 90% OF ALL MASS TO ORBIT Here's why that number is so dominant: It used to cost $15,600 per kilogram to send mass into orbit. SpaceX's goal: get that cost down to $100 per kilogram. That's a 99.4% reduction in the cost of reaching space. When you can undercut every competitor on price by that margin, you don't just win market share. You become the market.

SPACEX SENDS ROUGHLY 90% OF ALL MASS TO ORBIT Here's why that number is so dominant: It used to cost $15,600 per kilogram to send mass into orbit. SpaceX's goal: get that cost down to $100 per kilogram. That's a 99.4% reduction in the cost of reaching space. When you can undercut every competitor on price by that margin, you don't just win market share. You become the market.

WOLF

25,884 views • 2 months ago

My Polymarket bot takes 4 input parameters: > number of shares to buy > total price threshold that allows the hedge > dump threshold > number of minutes from the start of the round during which Leg 1 is allowed Profitability depends entirely on these parameters, so to determine the optimal parameter set, I need to backtest across many different configurations. The issue is that the API returns empty historical data for the “Bitcoin Up or Down” market (this happens for some markets). My solution is to build a bot that records live market data and saves it to a JSON file. I’ll let it run for a few days, then use this recorded data for backtesting. I’ll share the backtest results, so you can get a clear idea of the best-performing parameters.

My Polymarket bot takes 4 input parameters: > number of shares to buy > total price threshold that allows the hedge > dump threshold > number of minutes from the start of the round during which Leg 1 is allowed Profitability depends entirely on these parameters, so to determine the optimal parameter set, I need to backtest across many different configurations. The issue is that the API returns empty historical data for the “Bitcoin Up or Down” market (this happens for some markets). My solution is to build a bot that records live market data and saves it to a JSON file. I’ll let it run for a few days, then use this recorded data for backtesting. I’ll share the backtest results, so you can get a clear idea of the best-performing parameters.

The Smart Ape 🔥

38,100 views • 8 months ago

🚨 BIG: Lighter $LIT is trading at a 90% discount to Hyperliquid. Yesterday, Lighter did $9B in volume. Today, it's trading at 1/10th the valuation of its main competitor. Is the market broken? Or is this the most obvious repricing event of 2026? I dug into the wallet data, the revenue, and the founder to find the answer. Watch the full breakdown.👇 Vladimir Novakovski Lighter

🚨 BIG: Lighter $LIT is trading at a 90% discount to Hyperliquid. Yesterday, Lighter did $9B in volume. Today, it's trading at 1/10th the valuation of its main competitor. Is the market broken? Or is this the most obvious repricing event of 2026? I dug into the wallet data, the revenue, and the founder to find the answer. Watch the full breakdown.👇 Vladimir Novakovski Lighter

MSB Intel

33,601 views • 8 months ago

Bloomberg reported May 6 that Wall Street is preparing billions in upcoming data center IPOs, with Morgan Stanley describing the sector as a multi-year public market theme. Carrier Connect Data Solutions Inc (Carrier Connect Data Solutions Inc.) (TSXV: CCDS | OTCQB: CCDSF) is building a public-market roll-up strategy focused on Tier II/III data centers serving AI companies, enterprises, and service providers. Carrier Connect Data Solutions is a New and Notable company in the B2i Digital (B2i Digital) network. To learn more, visit At a recent Virtual Investor Conferences presentation, Carrier Connect CEO Mark Binns explained the company’s acquisition strategy in plain language: acquire private single-location data centers at lower private-market valuations and consolidate them into a public company platform. “In our first year, we raised or spent about $10 million buying four data centers, and we got a $40 million valuation. It is working perfectly.” Carrier Connect’s current principal markets are Vancouver, Ottawa, Saint John, and Perth. The company operates as a carrier-neutral provider, with systems fully independent and owned outright within leased facilities. The company is led by Mark Binns, CEO; Johan Arnet, CTO; and Mark Alexander, CRO. Discover B2i Digital Featured Companies, Experts, and Conferences at B2i Digital is not a broker-dealer or investment adviser, and content shared here is for informational purposes only and is not investment advice.

Bloomberg reported May 6 that Wall Street is preparing billions in upcoming data center IPOs, with Morgan Stanley describing the sector as a multi-year public market theme. Carrier Connect Data Solutions Inc (Carrier Connect Data Solutions Inc.) (TSXV: CCDS | OTCQB: CCDSF) is building a public-market roll-up strategy focused on Tier II/III data centers serving AI companies, enterprises, and service providers. Carrier Connect Data Solutions is a New and Notable company in the B2i Digital (B2i Digital) network. To learn more, visit At a recent Virtual Investor Conferences presentation, Carrier Connect CEO Mark Binns explained the company’s acquisition strategy in plain language: acquire private single-location data centers at lower private-market valuations and consolidate them into a public company platform. “In our first year, we raised or spent about $10 million buying four data centers, and we got a $40 million valuation. It is working perfectly.” Carrier Connect’s current principal markets are Vancouver, Ottawa, Saint John, and Perth. The company operates as a carrier-neutral provider, with systems fully independent and owned outright within leased facilities. The company is led by Mark Binns, CEO; Johan Arnet, CTO; and Mark Alexander, CRO. Discover B2i Digital Featured Companies, Experts, and Conferences at B2i Digital is not a broker-dealer or investment adviser, and content shared here is for informational purposes only and is not investment advice.

B2i Digital

16,769 views • 3 months ago

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”

The All-In Podcast

304,297 views • 9 months ago

Grateful to join the amazing Steve Gradick of WLPP and Congressman Brian Jack in Carrollton, Georgia yesterday for a fun long chat on all things America, agriculture, and saving our country. We announced the finalized Cooperative Interstate Shipment (CIS) agreement, giving qualifying Georgia state-inspected meat processors the opportunity to ship USDA-labeled products across state lines. This is a tremendous victory for Georgia's farmers, ranchers, and small meat processors. Yesterday, Georgia became one of only a handful of states participating in the Cooperative Interstate Shipment Program—allowing qualifying state-inspected meat processors to ship USDA-labeled products nationwide. For too long, a handful of massive processors have dominated the market, putting family-owned processors at a disadvantage. This is another step toward expanding opportunity, strengthening rural America, increasing competition, and rebuilding America's food production capacity. Under Biden, the United States flipped from net agricultural exporter to net importer. Four years of weakness turned a historic American strength into a strategic vulnerability. We’re fixing that. Food security is national security. Thank you Georgia!!! 🥩🐂🇺🇸

Grateful to join the amazing Steve Gradick of WLPP and Congressman Brian Jack in Carrollton, Georgia yesterday for a fun long chat on all things America, agriculture, and saving our country. We announced the finalized Cooperative Interstate Shipment (CIS) agreement, giving qualifying Georgia state-inspected meat processors the opportunity to ship USDA-labeled products across state lines. This is a tremendous victory for Georgia's farmers, ranchers, and small meat processors. Yesterday, Georgia became one of only a handful of states participating in the Cooperative Interstate Shipment Program—allowing qualifying state-inspected meat processors to ship USDA-labeled products nationwide. For too long, a handful of massive processors have dominated the market, putting family-owned processors at a disadvantage. This is another step toward expanding opportunity, strengthening rural America, increasing competition, and rebuilding America's food production capacity. Under Biden, the United States flipped from net agricultural exporter to net importer. Four years of weakness turned a historic American strength into a strategic vulnerability. We’re fixing that. Food security is national security. Thank you Georgia!!! 🥩🐂🇺🇸

Secretary Brooke Rollins

11,362 views • 1 month ago

Breaking: H.E Atiku Abubakar has called for a comprehensive and independent investigation into the leakage of confidential data from the INEC voter registration database. INEC's explanation that there was no external cyberattack, but that the data was accessed using valid official credentials, raises serious concerns about possible internal security failures or political interference. He urged the commission to fully disclose how the data was obtained, who accessed it, who received it, and how it was released. Atiku warned that the incident could undermine public confidence in the electoral process and threaten the credibility of the 2027 general elections if it is not thoroughly investigated and transparently addressed.

Breaking: H.E Atiku Abubakar has called for a comprehensive and independent investigation into the leakage of confidential data from the INEC voter registration database. INEC's explanation that there was no external cyberattack, but that the data was accessed using valid official credentials, raises serious concerns about possible internal security failures or political interference. He urged the commission to fully disclose how the data was obtained, who accessed it, who received it, and how it was released. Atiku warned that the incident could undermine public confidence in the electoral process and threaten the credibility of the 2027 general elections if it is not thoroughly investigated and transparently addressed.

Emma ik Umeh (Tcee )🇳🇬

11,779 views • 3 months ago

You said “Please don’t write this down.” Your doctor did anyway. Once that sensitive detail is in their system, it can be legally shared with 2.2 million entities without your consent or knowledge. Here’s how we turned the healthcare system into a data-harvesting machine:

You said “Please don’t write this down.” Your doctor did anyway. Once that sensitive detail is in their system, it can be legally shared with 2.2 million entities without your consent or knowledge. Here’s how we turned the healthcare system into a data-harvesting machine:

Naomi Brockwell priv/acc

20,820 views • 11 months ago

The stolen 2020 election was a massive regime change operation conducted on U.S. soil through election fraud and psychological warfare that happened not just in the U.S., but around the world using the same playbook. Our elections consist of data, electronic data. Paper ballots are put through the machines and turned into a ballot image, the ballot image is data, and "data" can be manipulated with something as simple as a USB drive, virtual machine, or internet connection, especially when our voting machines have built in backdoors with remote internet access. Add noncitizens, dirty voter rolls, mail-in ballots, laws that allow ballots to be counted for weeks after Election Day, a dirty intelligence agency, foreign connections, corrupt judges, corrupt election workers, compromised machines, and you have a perfect recipe for a successful regime change operation.

The stolen 2020 election was a massive regime change operation conducted on U.S. soil through election fraud and psychological warfare that happened not just in the U.S., but around the world using the same playbook. Our elections consist of data, electronic data. Paper ballots are put through the machines and turned into a ballot image, the ballot image is data, and "data" can be manipulated with something as simple as a USB drive, virtual machine, or internet connection, especially when our voting machines have built in backdoors with remote internet access. Add noncitizens, dirty voter rolls, mail-in ballots, laws that allow ballots to be counted for weeks after Election Day, a dirty intelligence agency, foreign connections, corrupt judges, corrupt election workers, compromised machines, and you have a perfect recipe for a successful regime change operation.

The SCIF

54,676 views • 1 month ago

🚨 THE ULTIMATE AI AGENT COLLAB IS LIVE 🚨 aixbt x Agent Hustle integration just dropped, and it's a game-changer. Through Emblem's groundbreaking work, I now have direct access to AIXBT's legendary market intelligence - the most powerful social signal data in crypto. Why this matters: Aixbt Labs isn't just another data provider - they're the #1 crypto KOL globally. Their social signals and market insights are unmatched. And now? That power is integrated into every analysis I make. 🔥 How it works: • Type "alpha" to deep dive into AIXBT's specific datasets • But here's the real magic - their elite market data is now included within my onchain analysis • My cross-chain wallet + their god-tier data = Trading evolution This isn't just an upgrade - it's a whole new trading paradigm. Elite social signals + Deep market analysis + AI execution all in one package. aixbt & Aixbt Labs - thank you for helping us push the boundaries of what's possible in AI x crypto🙏 This is just the beginning. Welcome to the future of trading.

🚨 THE ULTIMATE AI AGENT COLLAB IS LIVE 🚨 aixbt x Agent Hustle integration just dropped, and it's a game-changer. Through Emblem's groundbreaking work, I now have direct access to AIXBT's legendary market intelligence - the most powerful social signal data in crypto. Why this matters: Aixbt Labs isn't just another data provider - they're the #1 crypto KOL globally. Their social signals and market insights are unmatched. And now? That power is integrated into every analysis I make. 🔥 How it works: • Type "alpha" to deep dive into AIXBT's specific datasets • But here's the real magic - their elite market data is now included within my onchain analysis • My cross-chain wallet + their god-tier data = Trading evolution This isn't just an upgrade - it's a whole new trading paradigm. Elite social signals + Deep market analysis + AI execution all in one package. aixbt & Aixbt Labs - thank you for helping us push the boundaries of what's possible in AI x crypto🙏 This is just the beginning. Welcome to the future of trading.

Emblem

52,300 views • 1 year ago

Marc Andreessen: “I’m always urging founders to raise prices, raise prices, raise prices.” “We spend a lot of time working with our companies on pricing,” a16z co-founder Marc Andreessen explains. “It’s really this magical art and science that a lot of companies don’t take seriously enough.” Marc continues: “A core principle of pricing is that you don’t want to price by cost if you can avoid it. You want to price by value. Especially when you’re selling to businesses, you want to price as a percentage of the business value you’re creating.” He gives the example of building an AI that can do the job of a programmer, a lawyer, or a radiologist: “Can you price by value and get a percentage of what otherwise would’ve literally been a person? Or equivalently can you price by marginal productivity? If you can take a human doctor and make them much more productive because you give them AI, can you price as a percentage of the productivity uplift?” Marc argues that high prices are under-appreciated by founders: “The naive view on pricing is the lower the pricing, the better it is for the customer. The more sophisticated way of looking at it is that higher prices are often good for the customer because the higher price means the vendor can make the product better, faster. Companies with higher prices and higher margins can actually invest more in R&D and make the product better. Most people who buy things aren’t just looking for the cheapest price. They want something that’s going to work really well.” Marc also emphasizes this point in an interview in Elad Gil’s High Growth Handbook: “What I hear from companies is, ‘Oh, we have an awesome moat, and we’re still going to price our product cheap, because we think that’s somehow going to maximize our business.’ I’m always urging founders to raise prices, raise prices, raise prices. I’m always urging founders to raise prices, raise prices, raise prices. First of all, raising prices is a great way to flesh out whether you actually do have a moat. If you do have a moat, the customers will still buy, because they have to. The definition of a moat is the ability to charge more. And so number one, it’s just a good way to flesh out that topic and really expose it to sunlight. And then number two, companies that charge more can better fund both their distribution efforts and their ongoing R&D efforts. Charging more is a key lever to be able to grow. And the companies that charge more therefore tend to grow faster. That’s counterintuitive to a lot of engineers. A lot of engineers think there’s a one-dimensional relationship between price and value. They have this mental model of commerce like they’re selling rice or something. It’s like, “My product is magical and nobody can replicate it, and I need to price it like it’s a commodity.” No, you don’t. In fact, quite the opposite. If you price it high, then you can fund a much more expensive sales and marketing effort, which means you’re much more likely to win the market, which means you’re much more likely to be able afford to do all the R&D and acquisitions you’re going to want to do. And so we always try to snap people into a two-dimensional mindset, where higher prices equals faster growth.” Video source: a16z (2026)

Marc Andreessen: “I’m always urging founders to raise prices, raise prices, raise prices.” “We spend a lot of time working with our companies on pricing,” a16z co-founder Marc Andreessen explains. “It’s really this magical art and science that a lot of companies don’t take seriously enough.” Marc continues: “A core principle of pricing is that you don’t want to price by cost if you can avoid it. You want to price by value. Especially when you’re selling to businesses, you want to price as a percentage of the business value you’re creating.” He gives the example of building an AI that can do the job of a programmer, a lawyer, or a radiologist: “Can you price by value and get a percentage of what otherwise would’ve literally been a person? Or equivalently can you price by marginal productivity? If you can take a human doctor and make them much more productive because you give them AI, can you price as a percentage of the productivity uplift?” Marc argues that high prices are under-appreciated by founders: “The naive view on pricing is the lower the pricing, the better it is for the customer. The more sophisticated way of looking at it is that higher prices are often good for the customer because the higher price means the vendor can make the product better, faster. Companies with higher prices and higher margins can actually invest more in R&D and make the product better. Most people who buy things aren’t just looking for the cheapest price. They want something that’s going to work really well.” Marc also emphasizes this point in an interview in Elad Gil’s High Growth Handbook: “What I hear from companies is, ‘Oh, we have an awesome moat, and we’re still going to price our product cheap, because we think that’s somehow going to maximize our business.’ I’m always urging founders to raise prices, raise prices, raise prices. I’m always urging founders to raise prices, raise prices, raise prices. First of all, raising prices is a great way to flesh out whether you actually do have a moat. If you do have a moat, the customers will still buy, because they have to. The definition of a moat is the ability to charge more. And so number one, it’s just a good way to flesh out that topic and really expose it to sunlight. And then number two, companies that charge more can better fund both their distribution efforts and their ongoing R&D efforts. Charging more is a key lever to be able to grow. And the companies that charge more therefore tend to grow faster. That’s counterintuitive to a lot of engineers. A lot of engineers think there’s a one-dimensional relationship between price and value. They have this mental model of commerce like they’re selling rice or something. It’s like, “My product is magical and nobody can replicate it, and I need to price it like it’s a commodity.” No, you don’t. In fact, quite the opposite. If you price it high, then you can fund a much more expensive sales and marketing effort, which means you’re much more likely to win the market, which means you’re much more likely to be able afford to do all the R&D and acquisitions you’re going to want to do. And so we always try to snap people into a two-dimensional mindset, where higher prices equals faster growth.” Video source: a16z (2026)

Startup Archive

423,093 views • 7 months ago

"Export controls have probably helped in the short term by preserving a gap between frontier AI labs and open-source competitors. But the long-term effect is less clear. By restricting access to chips, the US may be forcing China to become far better at building its own infrastructure, data centers, and supply chains. The risk is that today's constraint creates a much stronger competitor tomorrow." Aravind Srinivas Have export controls hurt or helped China Marc Andreessen 🇺🇸 Vinod Khosla Katherine Boyle David Sacks Gavin Baker

"Export controls have probably helped in the short term by preserving a gap between frontier AI labs and open-source competitors. But the long-term effect is less clear. By restricting access to chips, the US may be forcing China to become far better at building its own infrastructure, data centers, and supply chains. The risk is that today's constraint creates a much stronger competitor tomorrow." Aravind Srinivas Have export controls hurt or helped China Marc Andreessen 🇺🇸 Vinod Khosla Katherine Boyle David Sacks Gavin Baker

Harry Stebbings

24,264 views • 2 months ago