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Most founders accidentally train their customers never to pay them. Madhavan Ramanujam (the "pricing guru" of Silicon Valley - having worked with LinkedIn, Uber, and 30+ unicorns) calls it the 20/80 Pricing Trap • 20% of your features drive 80% of the willingness to pay • Founders give that...

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Dara

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215,455 Aufrufe • vor 7 Monaten •via X (Twitter)

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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
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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

Wall Street Apes

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💲Pricing Tip: Don't change your price point 👇 Instead, introduce more pricing tiers and adjust your offering. Think "Good, Better, Best" instead of one size fits all. You're probably giving some customers more than they need or expect... or even want. Reconsider your offering and rebalance the value proposition into tiers that make sense for everyone. #BusinessInsights #EntrepreneurMindset On this episode of the Jobber "Masters of Home Service" Podcast we dive into some actionable pricing strategies that can help any business owner get control of their cost and pricing structure. 🔊 Listen or Watch Here 👉 ____________________________________________ Special shoutout to the master of pricing himself John Ray and his book that covers all of this and more, "The Generosity Mindset". 🎙️ You can catch that podcast episode here on Business RadioX® - North Fulton 👉
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💲Pricing Tip: Don't change your price point 👇 Instead, introduce more pricing tiers and adjust your offering. Think "Good, Better, Best" instead of one size fits all. You're probably giving some customers more than they need or expect... or even want. Reconsider your offering and rebalance the value proposition into tiers that make sense for everyone. #BusinessInsights #EntrepreneurMindset On this episode of the Jobber "Masters of Home Service" Podcast we dive into some actionable pricing strategies that can help any business owner get control of their cost and pricing structure. 🔊 Listen or Watch Here 👉 ____________________________________________ Special shoutout to the master of pricing himself John Ray and his book that covers all of this and more, "The Generosity Mindset". 🎙️ You can catch that podcast episode here on Business RadioX® - North Fulton 👉

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EO

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Our pricing evolves to give you more freedom to build ⚡ Over the past few months, we’ve spoken with many of you about how you use n8n and realized we could make our pricing work better for the way you build. Our goal: to help you automate more, without limits getting in the way. Here’s what’s new: ⚡ No more limits on active workflows Every n8n plan now includes unlimited active workflows, unlimited steps, and unlimited users. You’re only charged based on executions—that is, how many times your workflows run from start to finish. This way, you can build as much as you want and only pay for what actually delivers value. ⚡ A new self-hosted Business Plan for growing teams If you’re running workflows in production, need more control, but aren’t ready for a full enterprise setup, the Business Plan is for you. It’s self-hosted and includes features like environments, Git version control, and SSO. Plus, pricing scales with the value you get. Check out the updated plans at and make sure to update your n8n instance to apply the changes. We can’t wait to see what you build next!
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Our pricing evolves to give you more freedom to build ⚡ Over the past few months, we’ve spoken with many of you about how you use n8n and realized we could make our pricing work better for the way you build. Our goal: to help you automate more, without limits getting in the way. Here’s what’s new: ⚡ No more limits on active workflows Every n8n plan now includes unlimited active workflows, unlimited steps, and unlimited users. You’re only charged based on executions—that is, how many times your workflows run from start to finish. This way, you can build as much as you want and only pay for what actually delivers value. ⚡ A new self-hosted Business Plan for growing teams If you’re running workflows in production, need more control, but aren’t ready for a full enterprise setup, the Business Plan is for you. It’s self-hosted and includes features like environments, Git version control, and SSO. Plus, pricing scales with the value you get. Check out the updated plans at and make sure to update your n8n instance to apply the changes. We can’t wait to see what you build next!

n8n.io

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Many startups find early pull, but only a few break out. Why? They stop at product/market fit and never find business model fit. Business model fit isn’t just about how much you charge for your product, but HOW you charge for it, and how you align customer value with your pricing. There’s a lot of advice out there about seat-based vs. usage-based vs. outcome-based pricing, but all of that is just noise. The search for business model fit is as specific to your company as the search for product market fit. You need to align your acquisition strategy and monetization strategy with your customer and product. It’s all one interconnected system. Take Slack for example: many associate Slack’s early success with its fun, creative design and fresh approach to communication. That’s what drew people to the product. But a big part of what made Slack a breakout success was business model fit. Freemium wasn’t just an acquisition tactic, it was essential to driving the revenue flywheel, viral expansion, and adoption in the enterprise. Obvious in retrospect, but controversial and against the grain of what others were doing at the time. The best founders don’t just chase product/market fit, they design a business model to make their product unstoppable. If that’s you, we want to meet you a16z speedrun 🧊 - link in replies
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Fareed Mosavat

24,820 Aufrufe • vor 10 Monaten

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.”
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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 Aufrufe • vor 7 Monaten

*** Tata Curvv AT | Pricing | Opinion *** With the Curvv Diesel DCA Automatic starting at just ₹13.99 lakh, it becomes the only car over 4 meters in length to offer a proper automatic under ₹15 lakh. It's a no-nonsense buy, especially if you drive over 3,000 km a month, particularly on highways. In this video, I’ve compared the automatic pricing of all three engine options with the competition and provided a brief overview of the features of each variant. Timestamps 0:00 - Diesel vs EV: A Conflict of Interest 2:30 - How Tata Curvv Stands Against Mid-Size SUVs (Creta, Thar Roxx) 3:40 - Turbo GDi AT vs. the Competition 7:12 - Kryojet Diesel AT vs. the Competition 8:53 - Revotron Petrol vs. the Competition 11:00 - Base Variant Features Overview 11:50 - Pure + Variant Features 12:18 - Creative S Variant Features 12:48 - Accomplished S Variant Features 13:10 - Accomplished + Variant Features 14:08 - Final Thoughts: Expectations and Verdict
15:10

*** Tata Curvv AT | Pricing | Opinion *** With the Curvv Diesel DCA Automatic starting at just ₹13.99 lakh, it becomes the only car over 4 meters in length to offer a proper automatic under ₹15 lakh. It's a no-nonsense buy, especially if you drive over 3,000 km a month, particularly on highways. In this video, I’ve compared the automatic pricing of all three engine options with the competition and provided a brief overview of the features of each variant. Timestamps 0:00 - Diesel vs EV: A Conflict of Interest 2:30 - How Tata Curvv Stands Against Mid-Size SUVs (Creta, Thar Roxx) 3:40 - Turbo GDi AT vs. the Competition 7:12 - Kryojet Diesel AT vs. the Competition 8:53 - Revotron Petrol vs. the Competition 11:00 - Base Variant Features Overview 11:50 - Pure + Variant Features 12:18 - Creative S Variant Features 12:48 - Accomplished S Variant Features 13:10 - Accomplished + Variant Features 14:08 - Final Thoughts: Expectations and Verdict

Sunderdeep - Volklub

31,073 Aufrufe • vor 1 Jahr

🚨 THEY’RE PINGING YOUR PHONE TO CHANGE PRICES IN REAL TIME Major retailers are quietly testing AI-driven dynamic pricing with tech that reads your location, data, and proximity to the store before deciding what you pay. Every ping from your phone ... GPS, Bluetooth, Wi-Fi, app activity, all of it feeds an algorithm that decides your “value.” The closer you get, the higher it goes. They call it personalized pricing. You’d call it being tracked and charged for who the system thinks you are. Same item. Different people. Different prices. So when your total jumps the second you walk in - is that inflation, or surveillance disguised as a sale?
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🚨 THEY’RE PINGING YOUR PHONE TO CHANGE PRICES IN REAL TIME Major retailers are quietly testing AI-driven dynamic pricing with tech that reads your location, data, and proximity to the store before deciding what you pay. Every ping from your phone ... GPS, Bluetooth, Wi-Fi, app activity, all of it feeds an algorithm that decides your “value.” The closer you get, the higher it goes. They call it personalized pricing. You’d call it being tracked and charged for who the system thinks you are. Same item. Different people. Different prices. So when your total jumps the second you walk in - is that inflation, or surveillance disguised as a sale?

HustleBitch

76,267 Aufrufe • vor 8 Monaten

I just went down this rabbit hole, and it's so fascinating. So apparently, airlines have been selling your data to competitors for years. Strange right? I know, hear me out... It's called dynamic pricing. Dynamic pricing is when a company charges you a price calculated specifically for you, based on what they know about you, rather than a fixed price everyone sees. Nobody called it surveillance. The mainstream take on dynamic pricing is that it's sinister and new. Corporations secretly watching, jacking up prices, exploiting desperation. That anger is mostly right. Dynamic pricing isn't a bug that crept into capitalism. It's the entire architecture of how information asymmetry becomes profit. Airlines have always charged different people different prices for the same seat. Hotels. Insurance companies. Actuarial profiling predates the internet. What changed isn't the behavior. It's the resolution. Your battery at 8% telling Uber you're stranded is a higher-resolution version of the taxi driver who saw you running in the rain and didn't turn the meter off. The new part is the precision. They know you searched the same flight six times. They know you're on a Mac. They know your zip code and how long you've been sitting on the page. Old dynamic pricing responded to demand. Surveillance pricing responds to you. The counterargument from the market side is real. Personalization can mean discounts. But companies optimizing for revenue will use behavioral data to find the ceiling, not the floor. What are your thoughts? Is this fair or pure greed from big corp? That's a wrap. Li is a gallery for the greatest minds in economics, psychology, and history. Follow if that interests you. We are ONE genius away. -- P.S. I'm building a course on how the world actually works. Not the surface story, but the incentive layer underneath it. Who funds what. Who benefits from what you believe? Why the official explanation is rarely the complete one. Comment "yes" if you're interested in something like this. Waitlist opens soon.
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I just went down this rabbit hole, and it's so fascinating. So apparently, airlines have been selling your data to competitors for years. Strange right? I know, hear me out... It's called dynamic pricing. Dynamic pricing is when a company charges you a price calculated specifically for you, based on what they know about you, rather than a fixed price everyone sees. Nobody called it surveillance. The mainstream take on dynamic pricing is that it's sinister and new. Corporations secretly watching, jacking up prices, exploiting desperation. That anger is mostly right. Dynamic pricing isn't a bug that crept into capitalism. It's the entire architecture of how information asymmetry becomes profit. Airlines have always charged different people different prices for the same seat. Hotels. Insurance companies. Actuarial profiling predates the internet. What changed isn't the behavior. It's the resolution. Your battery at 8% telling Uber you're stranded is a higher-resolution version of the taxi driver who saw you running in the rain and didn't turn the meter off. The new part is the precision. They know you searched the same flight six times. They know you're on a Mac. They know your zip code and how long you've been sitting on the page. Old dynamic pricing responded to demand. Surveillance pricing responds to you. The counterargument from the market side is real. Personalization can mean discounts. But companies optimizing for revenue will use behavioral data to find the ceiling, not the floor. What are your thoughts? Is this fair or pure greed from big corp? That's a wrap. Li is a gallery for the greatest minds in economics, psychology, and history. Follow if that interests you. We are ONE genius away. -- P.S. I'm building a course on how the world actually works. Not the surface story, but the incentive layer underneath it. Who funds what. Who benefits from what you believe? Why the official explanation is rarely the complete one. Comment "yes" if you're interested in something like this. Waitlist opens soon.

GeniusThinking

38,698 Aufrufe • vor 4 Monaten

This week, on Benchmark's new podcast Uncapped 😂, I sat down with Bret Taylor, founder of Sierra and Chairman of OpenAI. He's easily one of the most impressive people I’ve met in tech or in general. We talked about AI and the saaspocalypse, the unique considerations of building an AI native / agent company, whether young or experienced founders have the advantage right now, Codex and OpenAI ads, and much more. Learned a ton from Bret, hope you enjoy. (0:00) Intro (0:20) The Saaspocalypse and systems of record (12:34) Sierra's landscape (17:05) Outcome-based pricing (24:22) The rapid evolution of AI support technology (28:21) Young founders vs. experienced founders (34:12) What comes next beyond support (38:47) Codex and the future of software engineering (51:49) OpenAI and advertising (54:59) Working with investors and boards
1:00:37

This week, on Benchmark's new podcast Uncapped 😂, I sat down with Bret Taylor, founder of Sierra and Chairman of OpenAI. He's easily one of the most impressive people I’ve met in tech or in general. We talked about AI and the saaspocalypse, the unique considerations of building an AI native / agent company, whether young or experienced founders have the advantage right now, Codex and OpenAI ads, and much more. Learned a ton from Bret, hope you enjoy. (0:00) Intro (0:20) The Saaspocalypse and systems of record (12:34) Sierra's landscape (17:05) Outcome-based pricing (24:22) The rapid evolution of AI support technology (28:21) Young founders vs. experienced founders (34:12) What comes next beyond support (38:47) Codex and the future of software engineering (51:49) OpenAI and advertising (54:59) Working with investors and boards

Jack Altman

417,178 Aufrufe • vor 5 Monaten

How Tier 1 & Tier 2 VC funds use pricing to 'win' rounds.. & why that doesn't work on the best founders "The strategy that they're going to employ is to use valuation as a lever to win, & it's not a crazy strategy, but it also puts a tremendous amount of stress on your returns if you don't pick right." "The best founders don't typically respond very positively to that—I think they're really thinking more about what's the right price for my company rather than what's the highest price I can get." Bucky Moore Partner at Lightspeed
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How Tier 1 & Tier 2 VC funds use pricing to 'win' rounds.. & why that doesn't work on the best founders "The strategy that they're going to employ is to use valuation as a lever to win, & it's not a crazy strategy, but it also puts a tremendous amount of stress on your returns if you don't pick right." "The best founders don't typically respond very positively to that—I think they're really thinking more about what's the right price for my company rather than what's the highest price I can get." Bucky Moore Partner at Lightspeed

Molly O’Shea

43,510 Aufrufe • vor 1 Jahr

🚨 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
0:52

🚨 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 Aufrufe • vor 8 Monaten

🚀 We just launched Nuova 2.0 and it’s more than just a website redesign. This marks a total shift in how we work with founders. What this means for us: - Moving from a quantity-based model to a quality-focused approach - Transitioning from subscriptions to 1:1 value-driven partnerships - Becoming true business partners for founders—not just service providers - Fully aligning with founders' visions to make great design happen at scale - Limiting the number of clients to deliver maximum value and build long-term relationships What this means for our clients: - A streamlined collaboration process with personal 1:1 communication - A pricing model built around value for each growth stage—not the number of designs - No more wasted time on task boards—we handle everything so founders can focus on growing their business This is our bold step forward to redefine how startups scale with design.
1:05

🚀 We just launched Nuova 2.0 and it’s more than just a website redesign. This marks a total shift in how we work with founders. What this means for us: - Moving from a quantity-based model to a quality-focused approach - Transitioning from subscriptions to 1:1 value-driven partnerships - Becoming true business partners for founders—not just service providers - Fully aligning with founders' visions to make great design happen at scale - Limiting the number of clients to deliver maximum value and build long-term relationships What this means for our clients: - A streamlined collaboration process with personal 1:1 communication - A pricing model built around value for each growth stage—not the number of designs - No more wasted time on task boards—we handle everything so founders can focus on growing their business This is our bold step forward to redefine how startups scale with design.

Robert @ nuova

17,214 Aufrufe • vor 1 Jahr

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)
2:00

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

422,892 Aufrufe • vor 6 Monaten

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”
1:58

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

519,087 Aufrufe • vor 7 Monaten

JUST IN: GTA 6 will officially be released on May 26, 2026. In an interview with Variety, Take-Two Interactive CEO and chairman Strauss Zelnick said he was not ready to comment on the pricing of the game. "So now that announcement will come from Rockstar in due time. Our goal always is to deliver more value than what we charge, so we’ve had variable pricing at the company forever." "As you know, the approach of the industry is to launch at a premium price, sometimes with special editions, and over time, typically to reduce the price to enhance the overall size of the market. We do the very same thing." "I think, probably more than most, we’re highly focused on making sure that the experience is great, not just because the game itself is great, but also because consumers have paid a fair price for it."
2:39

JUST IN: GTA 6 will officially be released on May 26, 2026. In an interview with Variety, Take-Two Interactive CEO and chairman Strauss Zelnick said he was not ready to comment on the pricing of the game. "So now that announcement will come from Rockstar in due time. Our goal always is to deliver more value than what we charge, so we’ve had variable pricing at the company forever." "As you know, the approach of the industry is to launch at a premium price, sometimes with special editions, and over time, typically to reduce the price to enhance the overall size of the market. We do the very same thing." "I think, probably more than most, we’re highly focused on making sure that the experience is great, not just because the game itself is great, but also because consumers have paid a fair price for it."

Collin Rugg

344,958 Aufrufe • vor 1 Jahr

Gokul explains why outcome-based software companies like Zendesk are more exposed to AI than systems of record like NetSuite, and why public markets are not distinguishing between the two. He argues that the only way AI-native startups can disrupt systems of record is by spending 1-2 years building migration tools to get data off of incumbent platforms. "The software companies that should be the most worried right now is where they are pricing the product based on utility. Zendesk is a good example. Instead of paying for 50 Zendesk seats, you can pay for 20 and I can have 30 AI agents sitting next to Zendesk. For these companies you need to change your pricing model to be based on outcome. It's going to be hard for them to stay public. The companies that are less exposed are ones based on data that has been collected and captured over a period of time. ERP is a great example. There is no compelling reason for someone to put their career at stake by ripping out NetSuite. NetSuite has more time to build AI agents on top of it because they have the data, they can train the AI agent on top of it and bundle it. I think the public markets do not distinguish between these two types of companies."
3:06

Gokul explains why outcome-based software companies like Zendesk are more exposed to AI than systems of record like NetSuite, and why public markets are not distinguishing between the two. He argues that the only way AI-native startups can disrupt systems of record is by spending 1-2 years building migration tools to get data off of incumbent platforms. "The software companies that should be the most worried right now is where they are pricing the product based on utility. Zendesk is a good example. Instead of paying for 50 Zendesk seats, you can pay for 20 and I can have 30 AI agents sitting next to Zendesk. For these companies you need to change your pricing model to be based on outcome. It's going to be hard for them to stay public. The companies that are less exposed are ones based on data that has been collected and captured over a period of time. ERP is a great example. There is no compelling reason for someone to put their career at stake by ripping out NetSuite. NetSuite has more time to build AI agents on top of it because they have the data, they can train the AI agent on top of it and bundle it. I think the public markets do not distinguish between these two types of companies."

Patrick OShaughnessy

393,688 Aufrufe • vor 6 Monaten

NEW: Brian Singerman, fmr Founders Fund, now GPx, on why he only invests in *people* SpaceX is the reason he joined Founders Fund in 2008 "If SpaceX didn't work, Founders Fund would not exist." From Elon & SpaceX to Karp & Palantir, to Anduril, Airbnb, Stripe, & Stemcentrx, Brian Singerman's whole framework is one question: Is this the best founder in the world at their particular thing? We get into: - What makes Founders Fund unique: a team of strong-willed, genuinely authentic individuals - Why a 3x fund loses to the S&P - How a lifetime of strategy gaming shapes how he reads founders & now GPs - Why he bets against the end of the world every time - Why he's bullish on N-of-1 human cultural artifacts in an AI world - Why Cyan Banister & Palmer Luckey are genuinely N-of-1 people Thank you to Max Levchin, Trae Stephens & Scott Nolan for great questions 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Brian Singerman, Co-Founder of GPx, Former Partner at Founders Fund (00:42) Founders Fund (02:09) Max Levchin's unfiltered questions (05:25) How gaming shaped his investing (06:11) Joining Founders Fund in 2008 (07:34) Silicon Valley's most fascinating characters (09:29) Lessons from Peter Thiel (11:26) Building a culture of conviction (11:59) The art of spotting A+ founders (13:55) Trae's biggest lesson from Peter Thiel (14:41) Is socialism a threat to America? (15:58) Why capital is leaving California (17:03) The obsession with Hawaii (20:59) The Founders Fund playbook (24:51) "If SpaceX didn't work, Founders Fund would not exist" (26:03) Why Elon is one of one (27:30) Why everyone knew Starlink would win (28:42) Inside Founders Fund's biggest bets (31:06) The Founders Fund founder archetype (33:25) Backing fund managers instead of startups (35:22) The new generation of GPs (36:34) The most authentic people in tech (41:38) Why other VCs aren't the audience (44:05) Music, Memorabilia & N-of-1 Artifacts (46:25) The story behind Brian's music studio (49:22) What's next for Brian?
51:06

NEW: Brian Singerman, fmr Founders Fund, now GPx, on why he only invests in *people* SpaceX is the reason he joined Founders Fund in 2008 "If SpaceX didn't work, Founders Fund would not exist." From Elon & SpaceX to Karp & Palantir, to Anduril, Airbnb, Stripe, & Stemcentrx, Brian Singerman's whole framework is one question: Is this the best founder in the world at their particular thing? We get into: - What makes Founders Fund unique: a team of strong-willed, genuinely authentic individuals - Why a 3x fund loses to the S&P - How a lifetime of strategy gaming shapes how he reads founders & now GPs - Why he bets against the end of the world every time - Why he's bullish on N-of-1 human cultural artifacts in an AI world - Why Cyan Banister & Palmer Luckey are genuinely N-of-1 people Thank you to Max Levchin, Trae Stephens & Scott Nolan for great questions 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Brian Singerman, Co-Founder of GPx, Former Partner at Founders Fund (00:42) Founders Fund (02:09) Max Levchin's unfiltered questions (05:25) How gaming shaped his investing (06:11) Joining Founders Fund in 2008 (07:34) Silicon Valley's most fascinating characters (09:29) Lessons from Peter Thiel (11:26) Building a culture of conviction (11:59) The art of spotting A+ founders (13:55) Trae's biggest lesson from Peter Thiel (14:41) Is socialism a threat to America? (15:58) Why capital is leaving California (17:03) The obsession with Hawaii (20:59) The Founders Fund playbook (24:51) "If SpaceX didn't work, Founders Fund would not exist" (26:03) Why Elon is one of one (27:30) Why everyone knew Starlink would win (28:42) Inside Founders Fund's biggest bets (31:06) The Founders Fund founder archetype (33:25) Backing fund managers instead of startups (35:22) The new generation of GPs (36:34) The most authentic people in tech (41:38) Why other VCs aren't the audience (44:05) Music, Memorabilia & N-of-1 Artifacts (46:25) The story behind Brian's music studio (49:22) What's next for Brian?

Molly O’Shea

250,577 Aufrufe • vor 1 Monat

Quant Bros Episode 10 ⚡️ Unpacking $MSTR and the Convertible Bond Market This was AN INCREDIBLE conversation with Richard Byworth ∞/21M digging into the nuances of the $MSTR Convertible Bond issuance, Product Operation & Pricing, Secondary Market Liquidity, Buyers Mentality, and Future Development of the Convertible Bonds. There are MANY LARGE SCALE realizations in this video. This is a must watch if you want to understand the nuance of the $MSTR trade, and where it can go. 00:00 Welcome 01:25 Richard Byworth ∞/21M background 06:25 Understanding Convertible Bonds (A Hybrid Product) 14:20 Unique dynamics of $MSTR's Convertible Bonds 22:58 CB Pricing Mechanisms and Market Liquidity 27:23 $MSTR Future Credit Default Swap market 29:14 Credit rating future of $MSTr convertible debt 31:20 Convertible Bond Secondary Market pricing 34:52 Depth and Appetite of Capital Pools 38:29 Leveragability of an Insurance Company Balance Sheet 41:08 Richard's view on NAV RV Trading & Expansion 44:10 Information Asymmetry of the NAV premium 49:28 Recent $MSTR 11/18/24 Convertible Bond impact on px 50:28 Convertible Bond Arb Desk Relativities
54:19

Quant Bros Episode 10 ⚡️ Unpacking $MSTR and the Convertible Bond Market This was AN INCREDIBLE conversation with Richard Byworth ∞/21M digging into the nuances of the $MSTR Convertible Bond issuance, Product Operation & Pricing, Secondary Market Liquidity, Buyers Mentality, and Future Development of the Convertible Bonds. There are MANY LARGE SCALE realizations in this video. This is a must watch if you want to understand the nuance of the $MSTR trade, and where it can go. 00:00 Welcome 01:25 Richard Byworth ∞/21M background 06:25 Understanding Convertible Bonds (A Hybrid Product) 14:20 Unique dynamics of $MSTR's Convertible Bonds 22:58 CB Pricing Mechanisms and Market Liquidity 27:23 $MSTR Future Credit Default Swap market 29:14 Credit rating future of $MSTr convertible debt 31:20 Convertible Bond Secondary Market pricing 34:52 Depth and Appetite of Capital Pools 38:29 Leveragability of an Insurance Company Balance Sheet 41:08 Richard's view on NAV RV Trading & Expansion 44:10 Information Asymmetry of the NAV premium 49:28 Recent $MSTR 11/18/24 Convertible Bond impact on px 50:28 Convertible Bond Arb Desk Relativities

Jeff Walton

371,729 Aufrufe • vor 1 Jahr