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Ever seen a growable customizable model? No clothing/pricing details yet, but here’s a sneak peek: tiered pricing, premium tier $99 launch week. Clothing highlights + pricing video + giveaway coming soon ！ #HakuSNCustomizableModel #CustomizableVtuber #vtuber

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HAKUSN CustomizableModel

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24,549 Aufrufe • vor 7 Monaten •via X (Twitter)

#HakuSNCustomizableModel#CustomizableVtuber#vtuber
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175,634 Aufrufe • vor 8 Monaten

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18:26

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176,507 Aufrufe • vor 7 Monaten

Today, we're launching the biggest upgrade to employee benefits since the 401(k). Why is this such a big deal? Because Previ now helps employees spend less on essential expenses and more on the things they actually want. Here's what's new: 1. The Drop – Every month, members get exclusive employee pricing on premium brands like Sonos, Cotopaxi, YETI, Therabody, Pura, and more. Employee pricing is typically at or near wholesale, with no additional markup. Quantities are limited and each Drop will sell out fast. 2. AI Bill Comparison – We're starting with your wireless bills—our AI instantly scans your current plan, finds better rates, and handles the switch seamlessly. It's a magical experience already saving people over $1,300/year on average, and we're adding even more bill categories soon. 3. Home & Auto Insurance – We're launching home and auto insurance comparisons from top insurers like Progressive, Travelers, Liberty Mutual, and Chubb. Sync your information in seconds, join the queue, and quickly see how much you might save—already helping people save over $1,000/year. 4. Chirp – A free text messaging tool for HR teams to quickly and effectively communicate urgent updates directly to employees. All of these updates are now available to 1.5 million employees across nearly 400 companies—including Qualtrics , Extra Space Storage, Utah Jazz, Johnson & Johnson, Aramark Corporation, Workday, Sunrun, NVIDIA, Pepsi, Pluralsight, Weave, Podium, GameStop, Intermountain Health and more. Here's the big picture: When you pay less for essentials like your phone bill and insurance, you free up money for the premium products you really want. That's exactly how these upgrades work together to improve your life right now. Employee pricing. Premium brands. Smart AI tools. This is what a modern workplace benefit looks like. If your company isn't using Previ yet, tag your HR leader below. I'll DM some of you a private code for 12 months of free annual enrollment. Huge thanks to the Previ team for making this happen. Let's go!!!
0:43

Today, we're launching the biggest upgrade to employee benefits since the 401(k). Why is this such a big deal? Because Previ now helps employees spend less on essential expenses and more on the things they actually want. Here's what's new: 1. The Drop – Every month, members get exclusive employee pricing on premium brands like Sonos, Cotopaxi, YETI, Therabody, Pura, and more. Employee pricing is typically at or near wholesale, with no additional markup. Quantities are limited and each Drop will sell out fast. 2. AI Bill Comparison – We're starting with your wireless bills—our AI instantly scans your current plan, finds better rates, and handles the switch seamlessly. It's a magical experience already saving people over $1,300/year on average, and we're adding even more bill categories soon. 3. Home & Auto Insurance – We're launching home and auto insurance comparisons from top insurers like Progressive, Travelers, Liberty Mutual, and Chubb. Sync your information in seconds, join the queue, and quickly see how much you might save—already helping people save over $1,000/year. 4. Chirp – A free text messaging tool for HR teams to quickly and effectively communicate urgent updates directly to employees. All of these updates are now available to 1.5 million employees across nearly 400 companies—including Qualtrics , Extra Space Storage, Utah Jazz, Johnson & Johnson, Aramark Corporation, Workday, Sunrun, NVIDIA, Pepsi, Pluralsight, Weave, Podium, GameStop, Intermountain Health and more. Here's the big picture: When you pay less for essentials like your phone bill and insurance, you free up money for the premium products you really want. That's exactly how these upgrades work together to improve your life right now. Employee pricing. Premium brands. Smart AI tools. This is what a modern workplace benefit looks like. If your company isn't using Previ yet, tag your HR leader below. I'll DM some of you a private code for 12 months of free annual enrollment. Huge thanks to the Previ team for making this happen. Let's go!!!

Brandon Rodman

284,037 Aufrufe • vor 1 Jahr

A former Goldman Sachs quant trader shared a simple but powerful principle with me in a single conversation: “We don’t forecast. We only take positions when pricing deviates from estimated probability by more than ~6%.” That was it. No complexity—just execution logic used on institutional desks. The result was a system that evaluates 400+ markets per hour. It focuses on contracts in the ~7–19 cent range where implied pricing diverges significantly from modeled probability (roughly 60–90% confidence zones in backtested scenarios). Over a three-month period (paper + small capital testing phase): * Starting point: $2,000 * Peak value: $8,191 * 99 executed trades * Sharpe ratio: ~2.3 A few example signals the system flagged: * ETH Merge-related event: 72¢ market price vs ~88% modeled probability → +19¢ move * SOL above $200 breakout scenario: 44¢ vs ~81% model probability → +15¢ * Florida hurricane (Cat 3+ threshold): 81¢ vs ~92% → +7¢ * Wheat above $800: 53¢ vs ~68% → +20¢ Each of these was identified automatically by the scanner based on deviation thresholds and liquidity filters. When I showed the setup to him recently, he said: “This is essentially what we run with an 800M AUM team and dozens of engineers.” The difference is cost. My current stack: * Claude: ~$20/month * VPS: ~$5/month * Open-source repos: free * APIs: minimal / free tiers On top of that, I’ve deployed multiple lightweight agents running continuously to monitor different market clusters. Performance tracking labels (internal testing): * velvet_void: +$697 * nano_alpha: +$541 * ratking_eth: +$407 * darkpool_7: +$356 For context, his fund reportedly returned ~19% last year, while this experimental setup has shown significantly higher short-term volatility-adjusted returns in a limited testing window. Nothing here is magic or prediction-based—just probabilistic pricing, systematic filtering, and execution discipline. If you want access to the breakdown and setup details: 1. Comment “ Claude ” 2. Like + repost 3. Follow Frances Marsha (so I can DM you)
0:24

A former Goldman Sachs quant trader shared a simple but powerful principle with me in a single conversation: “We don’t forecast. We only take positions when pricing deviates from estimated probability by more than ~6%.” That was it. No complexity—just execution logic used on institutional desks. The result was a system that evaluates 400+ markets per hour. It focuses on contracts in the ~7–19 cent range where implied pricing diverges significantly from modeled probability (roughly 60–90% confidence zones in backtested scenarios). Over a three-month period (paper + small capital testing phase): * Starting point: $2,000 * Peak value: $8,191 * 99 executed trades * Sharpe ratio: ~2.3 A few example signals the system flagged: * ETH Merge-related event: 72¢ market price vs ~88% modeled probability → +19¢ move * SOL above $200 breakout scenario: 44¢ vs ~81% model probability → +15¢ * Florida hurricane (Cat 3+ threshold): 81¢ vs ~92% → +7¢ * Wheat above $800: 53¢ vs ~68% → +20¢ Each of these was identified automatically by the scanner based on deviation thresholds and liquidity filters. When I showed the setup to him recently, he said: “This is essentially what we run with an 800M AUM team and dozens of engineers.” The difference is cost. My current stack: * Claude: ~$20/month * VPS: ~$5/month * Open-source repos: free * APIs: minimal / free tiers On top of that, I’ve deployed multiple lightweight agents running continuously to monitor different market clusters. Performance tracking labels (internal testing): * velvet_void: +$697 * nano_alpha: +$541 * ratking_eth: +$407 * darkpool_7: +$356 For context, his fund reportedly returned ~19% last year, while this experimental setup has shown significantly higher short-term volatility-adjusted returns in a limited testing window. Nothing here is magic or prediction-based—just probabilistic pricing, systematic filtering, and execution discipline. If you want access to the breakdown and setup details: 1. Comment “ Claude ” 2. Like + repost 3. Follow Frances Marsha (so I can DM you)

Frances Marsha

55,232 Aufrufe • vor 4 Monaten

Reclaim the Magic of Gaming. No Strings Attached. 🌍✨ The modern mobile world is broken—cluttered with intrusive ads, manipulative "pay-to-win" mechanics, and endless monthly subscriptions. Ancestral Legends: Echoes of the Ancients is the antidote. We’ve built more than just an app; we’ve built a portal into the heart of African heritage, designed for those who value premium quality and uninterrupted immersion. Why True Gamers Are Making the Switch: The "Golden Age" Pricing Model: Remember when you bought a game and actually owned it? Pay $4.99 once, and it’s yours forever. No hidden fees. No "energy" bars. No "gems" to buy. Pure, Unfiltered Immersion: Zero ads. No pop-ups to break your flow or distract you from the breathtaking lore and world-building. A Culture Unbound: Dive into a masterfully crafted experience inspired by the deep-rooted legends of Africa—a perspective rarely seen in the mainstream market, delivered with world-class polish. Play Anywhere: Designed for your life. Whether you’re on a long flight or a daily commute, you have full access to every feature, 100% of the time. The Skeptic’s Guarantee We know $4.99 feels like a commitment in a world of "free" apps. But "free" usually means you are the product. By choosing Ancestral Legends, you aren’t just buying a game—you’re investing in a premium, ad-free ecosystem and supporting independent African creators. One Payment. Infinite Legend. Step into the Echoes – Get Full Access Now
4:36

Reclaim the Magic of Gaming. No Strings Attached. 🌍✨ The modern mobile world is broken—cluttered with intrusive ads, manipulative "pay-to-win" mechanics, and endless monthly subscriptions. Ancestral Legends: Echoes of the Ancients is the antidote. We’ve built more than just an app; we’ve built a portal into the heart of African heritage, designed for those who value premium quality and uninterrupted immersion. Why True Gamers Are Making the Switch: The "Golden Age" Pricing Model: Remember when you bought a game and actually owned it? Pay $4.99 once, and it’s yours forever. No hidden fees. No "energy" bars. No "gems" to buy. Pure, Unfiltered Immersion: Zero ads. No pop-ups to break your flow or distract you from the breathtaking lore and world-building. A Culture Unbound: Dive into a masterfully crafted experience inspired by the deep-rooted legends of Africa—a perspective rarely seen in the mainstream market, delivered with world-class polish. Play Anywhere: Designed for your life. Whether you’re on a long flight or a daily commute, you have full access to every feature, 100% of the time. The Skeptic’s Guarantee We know $4.99 feels like a commitment in a world of "free" apps. But "free" usually means you are the product. By choosing Ancestral Legends, you aren’t just buying a game—you’re investing in a premium, ad-free ecosystem and supporting independent African creators. One Payment. Infinite Legend. Step into the Echoes – Get Full Access Now

Black Twittėr News⚫

12,778 Aufrufe • vor 4 Monaten

A small Coke at McDonald's costs $2.29. A large, more than double the size, costs $2.99 — seventy cents more for over 100% more soda. The actual syrup and cup cost McDonald's about a penny of that difference. MIT 14.01, Principles of Microeconomics, Lecture 2. Jonathan Gruber uses that pricing pattern to teach the single idea that quietly explains it: diminishing marginal utility. Your first sip of Coke on a hot day is worth a lot. Your fiftieth sip is worth almost nothing. You'll pay real money to go from zero Coke to some Coke. You won't pay nearly as much to go from some Coke to a lot of Coke — because you're not thirstier, you're just less thirsty than you were. McDonald's and Starbucks know this cold. Gruber walks through the actual math: a soda costs the company three or four cents to make. If they charge a penny more for the large and people still buy it, that's pure profit. Keep raising the large's price and, at some threshold, customers start downgrading back to the small — not because they can't afford it, but because the marginal cup of soda simply isn't worth that much to them anymore. Somewhere out there, an actual pricing team ran this exact experiment, penny by penny, until they found the number. He builds the whole framework from three assumptions most people have never seen written down, even though they use them every day: you always have an opinion between two options, your preferences don't contradict themselves in a loop, and more is always at least a little better than less. From just those three rules, he derives an entire mathematical map of what any person wants — the same tool an economist would use to model a soda purchase, a salary negotiation, or a decision between a better job in a boring city and a worse job somewhere you actually want to live. He calls it the "mom test": if you can't explain a concept from this lecture well enough to walk your non-economist mother through it, you don't actually understand it yet. MBA pricing consultants charge real money to explain why "upsize for 70 cents" works. It's the same idea a freshman economics class covers for free in the second week. The lecture is free. Noticing exactly where your own "worth it" turns into "not worth it" is the entire edge.
41:05

A small Coke at McDonald's costs $2.29. A large, more than double the size, costs $2.99 — seventy cents more for over 100% more soda. The actual syrup and cup cost McDonald's about a penny of that difference. MIT 14.01, Principles of Microeconomics, Lecture 2. Jonathan Gruber uses that pricing pattern to teach the single idea that quietly explains it: diminishing marginal utility. Your first sip of Coke on a hot day is worth a lot. Your fiftieth sip is worth almost nothing. You'll pay real money to go from zero Coke to some Coke. You won't pay nearly as much to go from some Coke to a lot of Coke — because you're not thirstier, you're just less thirsty than you were. McDonald's and Starbucks know this cold. Gruber walks through the actual math: a soda costs the company three or four cents to make. If they charge a penny more for the large and people still buy it, that's pure profit. Keep raising the large's price and, at some threshold, customers start downgrading back to the small — not because they can't afford it, but because the marginal cup of soda simply isn't worth that much to them anymore. Somewhere out there, an actual pricing team ran this exact experiment, penny by penny, until they found the number. He builds the whole framework from three assumptions most people have never seen written down, even though they use them every day: you always have an opinion between two options, your preferences don't contradict themselves in a loop, and more is always at least a little better than less. From just those three rules, he derives an entire mathematical map of what any person wants — the same tool an economist would use to model a soda purchase, a salary negotiation, or a decision between a better job in a boring city and a worse job somewhere you actually want to live. He calls it the "mom test": if you can't explain a concept from this lecture well enough to walk your non-economist mother through it, you don't actually understand it yet. MBA pricing consultants charge real money to explain why "upsize for 70 cents" works. It's the same idea a freshman economics class covers for free in the second week. The lecture is free. Noticing exactly where your own "worth it" turns into "not worth it" is the entire edge.

Beaver

495,264 Aufrufe • vor 5 Tagen