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This 3D chart visualizes how adjusting Jupiter’s impact scalar and base fee (a bivariate approach) influences order costs on Jupiter vs. Binance. The objective function axis reflects this cost difference across various SOL trade sizes. Valleys represent optimal combinations where Jupiter is most competitive. By analyzing this visualization, Jupiter... show more

Gauntlet

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11,419 просмотров • 1 год назад •via X (Twitter)

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Announcing JupSOL – the highest yield LST on Solana, with trustless delegation to Jupiter’s Validator. This validator has 0% fees and 100% MEV kickback and currently has an additional 100K SOL delegated to increase the yield on JupSOL. This will likely make JupSOL the highest yielding LST right now across all of Solana, until the APY normalizes and JupSOL completes it's bootstrapping phase. This enhanced APY will begin at the next Solana epoch, which you can view at This validator is a crucial part of our plan to help our users land transactions better on Jupiter. More stake on this validator will allow Jupiter to send more transactions and reduce transactions affected by congestion. This validator is run by Triton One 🌊🌋, and we’re very grateful to have their expertise in ensuring the validator is world-class. JupSOL is also powered by Sanctum ☁️, allowing users to swap for and out of JupSOL while plugging into deep liquidity on Sanctum’s router. Read more about how JupSOL works, written by fp 🌱 from the Sanctum team: If you are a member of the Jupiverse community, holding JupSOL helps you and your fellow Catdets land more transactions using Jupiter! Also, what is wonderland?

Announcing JupSOL – the highest yield LST on Solana, with trustless delegation to Jupiter’s Validator. This validator has 0% fees and 100% MEV kickback and currently has an additional 100K SOL delegated to increase the yield on JupSOL. This will likely make JupSOL the highest yielding LST right now across all of Solana, until the APY normalizes and JupSOL completes it's bootstrapping phase. This enhanced APY will begin at the next Solana epoch, which you can view at This validator is a crucial part of our plan to help our users land transactions better on Jupiter. More stake on this validator will allow Jupiter to send more transactions and reduce transactions affected by congestion. This validator is run by Triton One 🌊🌋, and we’re very grateful to have their expertise in ensuring the validator is world-class. JupSOL is also powered by Sanctum ☁️, allowing users to swap for and out of JupSOL while plugging into deep liquidity on Sanctum’s router. Read more about how JupSOL works, written by fp 🌱 from the Sanctum team: If you are a member of the Jupiverse community, holding JupSOL helps you and your fellow Catdets land more transactions using Jupiter! Also, what is wonderland?

Jupiter

483,027 просмотров • 2 лет назад

I took this lesson a few days ago,one of the clearest breakdowns of how Jupiter Swap works. Let me walk you through it. So first,what even IS a Swap? Think of it like Spot Trading in traditional finance. You’re just trading one currency for another at the current market rate, except here it’s digital assets. USDC for SOL. Instant. On-chain. Simple enough. But here’s where it gets interesting…... The moment you go to swap, Jupiter doesn’t just grab the first price it sees,it aggregates liquidity from major sources. That's where Ultra V3 kicks in — think of it like an institutional trading desk firing up behind the scenes. It scans the ENTIRE market, aggregates liquidity from every major source, and routes your trade through the most efficient path possible. You’re not just getting A price for your trade. You’re getting THE best price. But it doesn’t stop there….. 🎯 Real-Time Slippage Estimation (RTSE) is running simultaneously — monitoring slippage live so your swap tolerance stays as tight as possible. No surprises. No overpaying. And on qualifying pairs? Jupiter covers the gas entirely. You just swap. That’s the Gasless feature, look for the icon when you’re executing. 📚 Two concepts you need to understand 💧 Liquidity —> How deep the market is. Deep liquidity means you can make large trades without moving the price against yourself. Jupiter taps the deepest pools on the network. 📉 Slippage —> The gap between what you were quoted and what you actually get. Volatile markets cause this. Ultra V3’s RTSE exists specifically to close that gap. ━━━━━━━━━━━━━━━ 🚀 Ready to swap? Here’s all you do ━━━━━━━━━━━━━━━ 1️⃣ Open the Trade tab → pick your Sell & Buy assets 2️⃣ Check the Execution Path — Jupiter shows you exactly how it’s routing your trade 3️⃣ Spot the Gasless icon if it applies 4️⃣ Hit Swap. Done. On-chain in seconds. And this is why the saying exists — If you want to swap smarter, Just Use Jupiter.

I took this lesson a few days ago,one of the clearest breakdowns of how Jupiter Swap works. Let me walk you through it. So first,what even IS a Swap? Think of it like Spot Trading in traditional finance. You’re just trading one currency for another at the current market rate, except here it’s digital assets. USDC for SOL. Instant. On-chain. Simple enough. But here’s where it gets interesting…... The moment you go to swap, Jupiter doesn’t just grab the first price it sees,it aggregates liquidity from major sources. That's where Ultra V3 kicks in — think of it like an institutional trading desk firing up behind the scenes. It scans the ENTIRE market, aggregates liquidity from every major source, and routes your trade through the most efficient path possible. You’re not just getting A price for your trade. You’re getting THE best price. But it doesn’t stop there….. 🎯 Real-Time Slippage Estimation (RTSE) is running simultaneously — monitoring slippage live so your swap tolerance stays as tight as possible. No surprises. No overpaying. And on qualifying pairs? Jupiter covers the gas entirely. You just swap. That’s the Gasless feature, look for the icon when you’re executing. 📚 Two concepts you need to understand 💧 Liquidity —> How deep the market is. Deep liquidity means you can make large trades without moving the price against yourself. Jupiter taps the deepest pools on the network. 📉 Slippage —> The gap between what you were quoted and what you actually get. Volatile markets cause this. Ultra V3’s RTSE exists specifically to close that gap. ━━━━━━━━━━━━━━━ 🚀 Ready to swap? Here’s all you do ━━━━━━━━━━━━━━━ 1️⃣ Open the Trade tab → pick your Sell & Buy assets 2️⃣ Check the Execution Path — Jupiter shows you exactly how it’s routing your trade 3️⃣ Spot the Gasless icon if it applies 4️⃣ Hit Swap. Done. On-chain in seconds. And this is why the saying exists — If you want to swap smarter, Just Use Jupiter.

Sam || Jupiter Legion 😺😺

34,354 просмотров • 3 месяцев назад

Streamlining DeFi on Blast — Powered By Pyth 🔮 Pac Finance, the first DeFi hub on Blast, now integrates Pyth Pric Feeds to enhance its lending, swapping, and staking services. Learn more below: ℹ️ About Pac Finance Pac Finance offers a comprehensive suite of DeFi services: Lending: Users can lend and borrow various digital assets with competitive interest rates, thanks to a system that dynamically adjusts to market conditions. Swap: The platform facilitates asset exchanges with minimal slippage through its high liquidity pools, ensuring efficient trading. Staking: By staking LPs and tokens, users contribute to the network's security and in return, earn rewards based on their contributions. Choosing the Blast network for its innovative features like Native Yield and Zero Gas Fee transactions, Pac Finance aims to provide a seamless and cost-effective user experience. 🔮 Pac Finance is Powered By Pyth As a top lending protocol on Blast, Pac Finance leverages Pyth Data to ensure the most accurate and secure pricing data for its users. This pricing data enables users to unlock the most capital efficiency for their assets.

Streamlining DeFi on Blast — Powered By Pyth 🔮 Pac Finance, the first DeFi hub on Blast, now integrates Pyth Pric Feeds to enhance its lending, swapping, and staking services. Learn more below: ℹ️ About Pac Finance Pac Finance offers a comprehensive suite of DeFi services: Lending: Users can lend and borrow various digital assets with competitive interest rates, thanks to a system that dynamically adjusts to market conditions. Swap: The platform facilitates asset exchanges with minimal slippage through its high liquidity pools, ensuring efficient trading. Staking: By staking LPs and tokens, users contribute to the network's security and in return, earn rewards based on their contributions. Choosing the Blast network for its innovative features like Native Yield and Zero Gas Fee transactions, Pac Finance aims to provide a seamless and cost-effective user experience. 🔮 Pac Finance is Powered By Pyth As a top lending protocol on Blast, Pac Finance leverages Pyth Data to ensure the most accurate and secure pricing data for its users. This pricing data enables users to unlock the most capital efficiency for their assets.

Pyth Network 🔮

26,758 просмотров • 2 лет назад

🚀 My New Book is Here: Data Strategy (3rd Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.

🚀 My New Book is Here: Data Strategy (3rd Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.

Bernard Marr

10,980 просмотров • 10 месяцев назад

Visiting Shenzhen China 🇨🇳 today and wow! There is no way someone can stand here and not be inspired by how much China has changed in the past 3 decades 🤯 There is not another city on the planet that has transformed the way Shenzhen has, once a fishing village of 25,000 people, it’s now home to 18 million people and the hub of tech and innovation in China 🇨🇳 This is the DJI headquarters, that’s right, the company that has emerged as the number one drone company in the world is based in this building Over 8,000 employees spread across offices, R&D Centers and testing facilities. This is honestly one of the most impressive buildings I’ve ever seen The British Trade Minister just visited Shenzhen for the FIRST time in 40 years last week and just think, how many politicians around the world could understand where China is and where it is going if they simply came and saw the truth with their own eyes. To borrow a phrase from my friend and China insider Shaun Rein the next China is China! 🚀

Visiting Shenzhen China 🇨🇳 today and wow! There is no way someone can stand here and not be inspired by how much China has changed in the past 3 decades 🤯 There is not another city on the planet that has transformed the way Shenzhen has, once a fishing village of 25,000 people, it’s now home to 18 million people and the hub of tech and innovation in China 🇨🇳 This is the DJI headquarters, that’s right, the company that has emerged as the number one drone company in the world is based in this building Over 8,000 employees spread across offices, R&D Centers and testing facilities. This is honestly one of the most impressive buildings I’ve ever seen The British Trade Minister just visited Shenzhen for the FIRST time in 40 years last week and just think, how many politicians around the world could understand where China is and where it is going if they simply came and saw the truth with their own eyes. To borrow a phrase from my friend and China insider Shaun Rein the next China is China! 🚀

Cyrus Janssen

86,796 просмотров • 23 дней назад

There has been a lot of hand wringing on the appropriate valuation of SpaceX. Some large institutions believe SpaceX can only be valued at half what the market seems to be willing to pay for it. Others are claiming it has 15X appreciation ahead of it. Almost all of this difference of opinion comes down to how comfortable you are modeling beyond 2030 and what valuation method you use. 2030 valuation using a traditional Gordan DCF produces a very different result than a 2040 EV/EBITDA Multiple. Both have pros and cons. Most analysts don’t really discuss this and lead with a headline number. We are very comfortable modeling out to 2040, as large portions of what SpaceX is proposing is real world infrastructure, which provides modelable physics constraints to anchor against. The analysis we released today explores this in-depth, its open to the public all the way through IPO. I highly encourage you check it out prior to then. We’ve run 5,000 monte carlo runs across 500 variables (real number, even though it sounds fake) and three valuation methods. This video is of a 3D cloud chart showing every simulation outcome expected in valuation output across two of the most impactful variables to the model when using an EV/EBITDA multiple from 2026 to 2040. The horizontal axis is the steepness of the orbital data center demand S-curve. The vertical axis is the rate at which chip compute efficiency becomes cheaper. Each of the 5,000 dots is one simulated future; green dots are the ones where SpaceX's 2040 value clears the $1.77T IPO line, over time. Under EV/EBITDA valuation through 2040, 96% of our simulated futures clear the expected IPO price once the bell rings Friday. We aren’t publishing this publicly to tell investors what the stock is worth, we’re publishing this to help investors understand the world of outcomes, what the fundamentals suggest through 2040, and what frankly most analysis simply won’t share. SpaceX is a generational company working on long term infrastructure harnessing a domain no one has been able to tap in so far: space. It deserves doing the work as an investor. because this in not financial advice. The cleanest way to hold SpaceX is a bond stapled to a call option (AI-Compute); Starlink is the bond, the near term SatCom annuity that funds the next flywheel. Understand the world of outcomes and take your position accordingly. Comparables and P/E won't take you far enough.

There has been a lot of hand wringing on the appropriate valuation of SpaceX. Some large institutions believe SpaceX can only be valued at half what the market seems to be willing to pay for it. Others are claiming it has 15X appreciation ahead of it. Almost all of this difference of opinion comes down to how comfortable you are modeling beyond 2030 and what valuation method you use. 2030 valuation using a traditional Gordan DCF produces a very different result than a 2040 EV/EBITDA Multiple. Both have pros and cons. Most analysts don’t really discuss this and lead with a headline number. We are very comfortable modeling out to 2040, as large portions of what SpaceX is proposing is real world infrastructure, which provides modelable physics constraints to anchor against. The analysis we released today explores this in-depth, its open to the public all the way through IPO. I highly encourage you check it out prior to then. We’ve run 5,000 monte carlo runs across 500 variables (real number, even though it sounds fake) and three valuation methods. This video is of a 3D cloud chart showing every simulation outcome expected in valuation output across two of the most impactful variables to the model when using an EV/EBITDA multiple from 2026 to 2040. The horizontal axis is the steepness of the orbital data center demand S-curve. The vertical axis is the rate at which chip compute efficiency becomes cheaper. Each of the 5,000 dots is one simulated future; green dots are the ones where SpaceX's 2040 value clears the $1.77T IPO line, over time. Under EV/EBITDA valuation through 2040, 96% of our simulated futures clear the expected IPO price once the bell rings Friday. We aren’t publishing this publicly to tell investors what the stock is worth, we’re publishing this to help investors understand the world of outcomes, what the fundamentals suggest through 2040, and what frankly most analysis simply won’t share. SpaceX is a generational company working on long term infrastructure harnessing a domain no one has been able to tap in so far: space. It deserves doing the work as an investor. because this in not financial advice. The cleanest way to hold SpaceX is a bond stapled to a call option (AI-Compute); Starlink is the bond, the near term SatCom annuity that funds the next flywheel. Understand the world of outcomes and take your position accordingly. Comparables and P/E won't take you far enough.

Aaron Burnett

1,512,264 просмотров • 1 месяц назад

CA: 0x172ae9e9b46770a70f479404d76e2f6561507011ef77a247fe3f58e7a5840a0d::manny::MANNY Your smart, hands-free edge tool in the crypto market. This powerful automated bot is designed to buy low and sell high with precision. It scans hundreds of coins in real-time, waiting for the right indicators—trend strength, volume spikes, price momentum, and bullish patterns—before entering a trade. Once in, it manages risk with dynamic stop-loss and take-profit levels, so your capital is always protected. Every trade is backed by a multi-layer confluence strategy, ensuring only high-confidence setups are executed. ✅ Advanced entry logic ✅ Fully automated buy/sell execution ✅ Built-in profit protection and cooldown filters ✅ Real-time alerts (Telegram/Twitter ready) ✅ JSON-based state memory for continuity ✅ Minimal setup, maximum performance ✅ Excludes low-quality coins automatically (e.g., BTC/ETH filters optional) ✅ Plug-and-play friendly — run it locally or integrate it into your system. ✅ Clean, professional trade alerts with price and PnL details ✅ Recovers automatically from connection issues or downtime Whether you’re a pro or just getting started, this bot helps you stay ahead of the market—24/7, emotion-free with pure mathematics. This bot has been in development for the last 6 months. I, Chronos, the developer behind it, have been testing for a while for the best configuration for a trading bot. I believe I have something good going on here. The bot automatically posts all the trades via IFTTT and X integration to its X account. Everything is automated. So how can people rent it, and how will it bring value to the project? Soon, the bot can be rented out via a cloud server. A customer must buy 30 USD worth of Memecoin_MANNY token (CA:0x172ae9e9b46770a70f479404d76e2f6561507011ef77a247fe3f58e7a5840a0d::manny::MANNY). After buying it and depositing it into a special wallet, he will be granted access to the bot. . The bot runs only on the backend — users interact with it via an interface (web app, Telegram bot, or API). A web dashboard and Telegram bot interface will be created. This lets users Start/stop their bot session See trade logs or results. Connect their API keys securely. Get alerts and updates The idea of all this is to offer a service but also bring value to the project. More bots will be developed. This is only the beginning. Cheers Chronos #python #memecoin_manny #spot #trading #bitcoin #eth #Binance #bybit #memecoin #VALHALLA

CA: 0x172ae9e9b46770a70f479404d76e2f6561507011ef77a247fe3f58e7a5840a0d::manny::MANNY Your smart, hands-free edge tool in the crypto market. This powerful automated bot is designed to buy low and sell high with precision. It scans hundreds of coins in real-time, waiting for the right indicators—trend strength, volume spikes, price momentum, and bullish patterns—before entering a trade. Once in, it manages risk with dynamic stop-loss and take-profit levels, so your capital is always protected. Every trade is backed by a multi-layer confluence strategy, ensuring only high-confidence setups are executed. ✅ Advanced entry logic ✅ Fully automated buy/sell execution ✅ Built-in profit protection and cooldown filters ✅ Real-time alerts (Telegram/Twitter ready) ✅ JSON-based state memory for continuity ✅ Minimal setup, maximum performance ✅ Excludes low-quality coins automatically (e.g., BTC/ETH filters optional) ✅ Plug-and-play friendly — run it locally or integrate it into your system. ✅ Clean, professional trade alerts with price and PnL details ✅ Recovers automatically from connection issues or downtime Whether you’re a pro or just getting started, this bot helps you stay ahead of the market—24/7, emotion-free with pure mathematics. This bot has been in development for the last 6 months. I, Chronos, the developer behind it, have been testing for a while for the best configuration for a trading bot. I believe I have something good going on here. The bot automatically posts all the trades via IFTTT and X integration to its X account. Everything is automated. So how can people rent it, and how will it bring value to the project? Soon, the bot can be rented out via a cloud server. A customer must buy 30 USD worth of Memecoin_MANNY token (CA:0x172ae9e9b46770a70f479404d76e2f6561507011ef77a247fe3f58e7a5840a0d::manny::MANNY). After buying it and depositing it into a special wallet, he will be granted access to the bot. . The bot runs only on the backend — users interact with it via an interface (web app, Telegram bot, or API). A web dashboard and Telegram bot interface will be created. This lets users Start/stop their bot session See trade logs or results. Connect their API keys securely. Get alerts and updates The idea of all this is to offer a service but also bring value to the project. More bots will be developed. This is only the beginning. Cheers Chronos #python #memecoin_manny #spot #trading #bitcoin #eth #Binance #bybit #memecoin #VALHALLA

Ex Machina

24,488 просмотров • 1 год назад

TOTAL #RWA VALUE HIT A NEW ATH OF $18.18B 🚨 As more institutions are jumping onboard, there's a talk that RWA sector could baloon to $16T by 2030. Many dont realize yet but it will become abundantly clear that 2025 is the year of tokenization, and we’re on the brink of an RWA Supercycle. At the core of this revolution, Brickken stands out as a key player in shaping the future of real-world asset tokenization I believe RWA szn is coming, I’m strategically positioning myself with Brickken, which just hit another record breaking milestone of $14M+ TVL, marking a 7.5% surge this week and reinforcing its dominance in real-world asset tokenization. 📊 Breaking Down Brickken’s TVL Rankings by chain: 🔹 #36 in the Overall RWA Category 🔹 #2 on Binance Smart Chain (BSC) 🔹 #7 on Base – 🔹 #24 on Ethereum Brickken’s dominance is expanding across multiple chains, showcasing widespread adoption and rising demand. With TVL growth accelerating, more assets are being tokenized and secured on its platform. The increasing $BKN staked in the Perpetual Staking Vault highlights strong community confidence and long-term commitment, while its market-validated TVL reflects the growing demand for secure, transparent, and efficient RWA tokenization. You might find these interesting: 🔗 Track Brickken’s TVL on DeFiLlama: 🔗 Learn How TVL is Calculated: 🔗 Tokenization Tracker: 🔗 Brickken Birthday Campaigns: 🔗 Join the Brickken Telegram Community: #Brickken #RWA #Tokenization #BKN

TOTAL #RWA VALUE HIT A NEW ATH OF $18.18B 🚨 As more institutions are jumping onboard, there's a talk that RWA sector could baloon to $16T by 2030. Many dont realize yet but it will become abundantly clear that 2025 is the year of tokenization, and we’re on the brink of an RWA Supercycle. At the core of this revolution, Brickken stands out as a key player in shaping the future of real-world asset tokenization I believe RWA szn is coming, I’m strategically positioning myself with Brickken, which just hit another record breaking milestone of $14M+ TVL, marking a 7.5% surge this week and reinforcing its dominance in real-world asset tokenization. 📊 Breaking Down Brickken’s TVL Rankings by chain: 🔹 #36 in the Overall RWA Category 🔹 #2 on Binance Smart Chain (BSC) 🔹 #7 on Base – 🔹 #24 on Ethereum Brickken’s dominance is expanding across multiple chains, showcasing widespread adoption and rising demand. With TVL growth accelerating, more assets are being tokenized and secured on its platform. The increasing $BKN staked in the Perpetual Staking Vault highlights strong community confidence and long-term commitment, while its market-validated TVL reflects the growing demand for secure, transparent, and efficient RWA tokenization. You might find these interesting: 🔗 Track Brickken’s TVL on DeFiLlama: 🔗 Learn How TVL is Calculated: 🔗 Tokenization Tracker: 🔗 Brickken Birthday Campaigns: 🔗 Join the Brickken Telegram Community: #Brickken #RWA #Tokenization #BKN

Aein

27,045 просмотров • 1 год назад

$IREN "we haven't disclosed the specific amount of GPUs" 1. 🤮 reminds me of $NBIS 2. Setting a terrible precedent here for future deals 3. Making it purposely difficult, to not let analysts properly value your 2027 revenue 4. Increasing the polarized view on IREN by the market However: "approximately 60MW of air-cooled Blackwells" 1. You typically don't talk about gross capacity in a deployment like this 2. If it would be gross capacity, the GPU hour rate at IT level would be crazy high (at PUE 1.2, $680m / 50 = 13.6m/MW) 3. At 60MW IT load, and ~14kW draw at DGX server level, we can get to ~4,286 DGX systems with 8 GPUs per. 4. Based on this we can conclude that 60MW of IT load can run approximately 34k DGX B300. 5. 34k DGX B300 at $680m/yr, would represent a GPU hour price of $2.28 Now this is the problem with not disclosing your GPU quantity. You purposely make your business model look bad, because by approach, you get to a GPU hour price that would imply a payback period of 4 years, where only the last year of the contract is 100% margin. But of course, we can also take "the glass is half full" approach. IREN has ordered 50K B300s from Dell. They have 2 purchase orders for this, 1 between Dell Canada and IE CA Leasing Ltd for 4 phases, and 1 between Dell USA and IE US Hardware 1 Inc (amended from IE US Hardware 4 Inc on April 27, 2026). The order for Canada is divided in 4 phases, and are going to Mackenzie for 80MW of gross capacity, which happens to be 4 buildings of 20MW. The order for Childress is divided in 2 phases, and are going to DC35 and DC36, (as depicted in the earnings presentation) and those are 50MW gross. The purchase price of the order for Childress was $1.2B, and for Canada it was $2.3B If we go with 50,000 B300s for a total of $3.5B then $1.2 would represent 34.285% of the 50,000 GPUs, or 17,140 B300s rounded down. For this calculation I will consider that $IREN will deploy 17,140 GPUs in 50MW gross capacity in DC35 and DC36 of block 3 in Childress.. That would imply at 1.2 PUE, IREN can run 17,140 B300s in 41.67MW IT load. Now by that ratio, they can run 24,680 GPUs in 60MW IT load — a massive difference with 34k units through the Nvidia DGX reference calculation. If common sense is applied, you can still get to 2 completely different outcomes, that show a difference of more than 9k GPUs. The GPU hour rate at 24.68k GPUs would be $3.145 per B300, as MASSIVE difference from the earlier calculated $2.28. Sure, the DGX system may be a factor here. And I'm sure that the reality is somewhere in the middle. But I personally hate this as an investor, to be unable to calculate profitability on unit economic basis. After all, contracts are signed on a $/GPU hour basis. Why hide this from your investors? Not being able to calculate payback periods, unable to calculate ROIC. And most importantly, we cannot properly assess the $NVDA deal on a contract basis. I really hope the payback period of this contract is not 4 years. I want the glass to be half full, but by starting to censor the purchases, IREN is taking a step in the wrong direction. Not a fan of this.

$IREN "we haven't disclosed the specific amount of GPUs" 1. 🤮 reminds me of $NBIS 2. Setting a terrible precedent here for future deals 3. Making it purposely difficult, to not let analysts properly value your 2027 revenue 4. Increasing the polarized view on IREN by the market However: "approximately 60MW of air-cooled Blackwells" 1. You typically don't talk about gross capacity in a deployment like this 2. If it would be gross capacity, the GPU hour rate at IT level would be crazy high (at PUE 1.2, $680m / 50 = 13.6m/MW) 3. At 60MW IT load, and ~14kW draw at DGX server level, we can get to ~4,286 DGX systems with 8 GPUs per. 4. Based on this we can conclude that 60MW of IT load can run approximately 34k DGX B300. 5. 34k DGX B300 at $680m/yr, would represent a GPU hour price of $2.28 Now this is the problem with not disclosing your GPU quantity. You purposely make your business model look bad, because by approach, you get to a GPU hour price that would imply a payback period of 4 years, where only the last year of the contract is 100% margin. But of course, we can also take "the glass is half full" approach. IREN has ordered 50K B300s from Dell. They have 2 purchase orders for this, 1 between Dell Canada and IE CA Leasing Ltd for 4 phases, and 1 between Dell USA and IE US Hardware 1 Inc (amended from IE US Hardware 4 Inc on April 27, 2026). The order for Canada is divided in 4 phases, and are going to Mackenzie for 80MW of gross capacity, which happens to be 4 buildings of 20MW. The order for Childress is divided in 2 phases, and are going to DC35 and DC36, (as depicted in the earnings presentation) and those are 50MW gross. The purchase price of the order for Childress was $1.2B, and for Canada it was $2.3B If we go with 50,000 B300s for a total of $3.5B then $1.2 would represent 34.285% of the 50,000 GPUs, or 17,140 B300s rounded down. For this calculation I will consider that $IREN will deploy 17,140 GPUs in 50MW gross capacity in DC35 and DC36 of block 3 in Childress.. That would imply at 1.2 PUE, IREN can run 17,140 B300s in 41.67MW IT load. Now by that ratio, they can run 24,680 GPUs in 60MW IT load — a massive difference with 34k units through the Nvidia DGX reference calculation. If common sense is applied, you can still get to 2 completely different outcomes, that show a difference of more than 9k GPUs. The GPU hour rate at 24.68k GPUs would be $3.145 per B300, as MASSIVE difference from the earlier calculated $2.28. Sure, the DGX system may be a factor here. And I'm sure that the reality is somewhere in the middle. But I personally hate this as an investor, to be unable to calculate profitability on unit economic basis. After all, contracts are signed on a $/GPU hour basis. Why hide this from your investors? Not being able to calculate payback periods, unable to calculate ROIC. And most importantly, we cannot properly assess the $NVDA deal on a contract basis. I really hope the payback period of this contract is not 4 years. I want the glass to be half full, but by starting to censor the purchases, IREN is taking a step in the wrong direction. Not a fan of this.

Frans Bakker

146,717 просмотров • 2 месяцев назад

Introducing CLAW Trade Credits (CTC). The Next Evolution of Utility for $EAI Holders. 🪙 Today we are unveiling CLAW Trade Credits. A major new initiative designed to bring real, continuous utility to the $EAI token and strengthen the entire Eagle AI Labs ecosystem. 🙌 CLAW will run on a simple monthly subscription that gives traders access to world class AI predictions, indicators, education, and everything needed to navigate crypto at an elite level. For advanced AI functions you simply spend CTC. This includes pro level copy trading, automating the breakout bot, full trade automation, and other high end features that are coming soon... Every subscription includes a generous monthly CTC allowance. $EAI holders unlock even more. Higher tiers receive bonus CTC each month plus discounted conversion rates. 🏆 Traders can swap $EAI for CTC at any time, which creates a clear circular economy. You use the best tools in the industry. You generate better outcomes. You spend credits for the functions you want. This drives constant real demand for $EAI while rewarding long term holders with the greatest benefits across the platform. This is how token utility should work. No friction. No gimmicks. Just a system where the token powers something you genuinely want to use every day. 💪 Advanced tools will have different CTC costs. For example, Breakout Bot v3 will require more credits than v1, and top tier pro traders will require more CTC to copy. The system scales naturally with the sophistication of the tool. 📈 A simple example: - You spot a Diamond Pro Trader with a strong track record. - Copying the next trade costs 10 CTC. - You only have 5. - You buy a 500 CTC package. - The system shows you the $EAI required. - You send it. - Your CTC balance updates instantly. - You copy the trade. - CLAW deducts the credits. - You return later to see the position hit profit. Real utility. Real use. Real demand. 💎 CTC is the bridge that ties $EAI directly into CLAW and into the daily actions of traders everywhere. Read more here: Eagle AI Labs is building an ecosystem where your token powers your edge. The future is in motion. 🦅

Introducing CLAW Trade Credits (CTC). The Next Evolution of Utility for $EAI Holders. 🪙 Today we are unveiling CLAW Trade Credits. A major new initiative designed to bring real, continuous utility to the $EAI token and strengthen the entire Eagle AI Labs ecosystem. 🙌 CLAW will run on a simple monthly subscription that gives traders access to world class AI predictions, indicators, education, and everything needed to navigate crypto at an elite level. For advanced AI functions you simply spend CTC. This includes pro level copy trading, automating the breakout bot, full trade automation, and other high end features that are coming soon... Every subscription includes a generous monthly CTC allowance. $EAI holders unlock even more. Higher tiers receive bonus CTC each month plus discounted conversion rates. 🏆 Traders can swap $EAI for CTC at any time, which creates a clear circular economy. You use the best tools in the industry. You generate better outcomes. You spend credits for the functions you want. This drives constant real demand for $EAI while rewarding long term holders with the greatest benefits across the platform. This is how token utility should work. No friction. No gimmicks. Just a system where the token powers something you genuinely want to use every day. 💪 Advanced tools will have different CTC costs. For example, Breakout Bot v3 will require more credits than v1, and top tier pro traders will require more CTC to copy. The system scales naturally with the sophistication of the tool. 📈 A simple example: - You spot a Diamond Pro Trader with a strong track record. - Copying the next trade costs 10 CTC. - You only have 5. - You buy a 500 CTC package. - The system shows you the $EAI required. - You send it. - Your CTC balance updates instantly. - You copy the trade. - CLAW deducts the credits. - You return later to see the position hit profit. Real utility. Real use. Real demand. 💎 CTC is the bridge that ties $EAI directly into CLAW and into the daily actions of traders everywhere. Read more here: Eagle AI Labs is building an ecosystem where your token powers your edge. The future is in motion. 🦅

Eagle AI Labs

16,647 просмотров • 7 месяцев назад

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

cvxv666

50,509 просмотров • 3 месяцев назад

🚨PHYSICS NEWS🚨: Gravity Leaves Its Mark on Quantum Interference in a Tabletop Setup 🧨 According to research published in *Physical Review Letters* on June 8, 2026 by physicists at the University of Tennessee at Knoxville, scientists have performed the first tabletop experiment to detect a gravitationally induced phase shift in quantum interference. Using a 50-kilometer fiber interferometer, they measured a tiny but clear effect of gravity on quantum wave interference with high precision. **Uniphics explains this result as a direct consequence of variable time flow caused by energy density gradients.** In Uniphics, gravity is not the curvature of spacetime. Instead, it arises from differences in energy density across the ξM-field. These gradients create regions where time flows at different rates — a concept described by the Maley factor (the ratio of time flow between two locations). When quantum waves (spin waves in the Uniphics framework) travel along two different paths in an interferometer, they experience slightly different time flows if one path is closer to Earth’s mass than the other. Because the phase of a quantum wave depends on how much time has passed along its path, even a tiny difference in time flow produces a measurable phase shift between the two arms of the interferometer. The University of Tennessee experiment detected exactly this kind of phase shift, confirming that gravity affects the relative timing of quantum waves in a way that can be measured in a controlled laboratory setting. This result aligns closely with Uniphics predictions. The experiment effectively measures how energy density gradients near Earth alter local time flow, which then imprints itself on the interference pattern of quantum states. It provides clean, tabletop evidence that gravity influences quantum systems through changes in time flow rather than through geometric curvature. The ability to observe this effect with such precision in a laboratory opens the door to testing gravitational effects on quantum coherence in controlled environments — something Uniphics expects to become increasingly important as we explore the deep connection between energy density, time flow, and quantum behavior. Could tabletop experiments like this eventually allow us to map energy density gradients with quantum precision and test the effects of modified time flow in different gravitational environments? **A Theory of Everything should be able to answer everything.** Uniphics Explained Simply PDF: Chapters 1–10 free: Grokipedia: #Uniphics #TheoryOfEverything #QuantumGravity #Interferometry #TabletopPhysics Grok xAI

🚨PHYSICS NEWS🚨: Gravity Leaves Its Mark on Quantum Interference in a Tabletop Setup 🧨 According to research published in Physical Review Letters on June 8, 2026 by physicists at the University of Tennessee at Knoxville, scientists have performed the first tabletop experiment to detect a gravitationally induced phase shift in quantum interference. Using a 50-kilometer fiber interferometer, they measured a tiny but clear effect of gravity on quantum wave interference with high precision. Uniphics explains this result as a direct consequence of variable time flow caused by energy density gradients. In Uniphics, gravity is not the curvature of spacetime. Instead, it arises from differences in energy density across the ξM-field. These gradients create regions where time flows at different rates — a concept described by the Maley factor (the ratio of time flow between two locations). When quantum waves (spin waves in the Uniphics framework) travel along two different paths in an interferometer, they experience slightly different time flows if one path is closer to Earth’s mass than the other. Because the phase of a quantum wave depends on how much time has passed along its path, even a tiny difference in time flow produces a measurable phase shift between the two arms of the interferometer. The University of Tennessee experiment detected exactly this kind of phase shift, confirming that gravity affects the relative timing of quantum waves in a way that can be measured in a controlled laboratory setting. This result aligns closely with Uniphics predictions. The experiment effectively measures how energy density gradients near Earth alter local time flow, which then imprints itself on the interference pattern of quantum states. It provides clean, tabletop evidence that gravity influences quantum systems through changes in time flow rather than through geometric curvature. The ability to observe this effect with such precision in a laboratory opens the door to testing gravitational effects on quantum coherence in controlled environments — something Uniphics expects to become increasingly important as we explore the deep connection between energy density, time flow, and quantum behavior. Could tabletop experiments like this eventually allow us to map energy density gradients with quantum precision and test the effects of modified time flow in different gravitational environments? A Theory of Everything should be able to answer everything. Uniphics Explained Simply PDF: Chapters 1–10 free: Grokipedia: #Uniphics #TheoryOfEverything #QuantumGravity #Interferometry #TabletopPhysics Grok xAI

Paul Maley

17,993 просмотров • 1 месяц назад

A week ago Polymarket declared war on algorithms. They introduced a draconian 3.15% commission on 15-minute markets called Taker Fee. The goal was clear: kill latency arbitrageurs who take money faster than the site UI updates. The math is simple: if your glitch gives a 2% edge and the platform takes 3.15% commission you're bankrupt. 90% of bots shut down that same night. But this bot didn't just stay. It increased its deposit. Profile hidden from everyone: Yesterday it closed the day with $27K profit. I looked at its logs to understand how it bypasses expected value. The old method is dead Previously bots simply compared BTC price on Binance and Polymarket. Saw the difference bought waited 30 seconds. This gave small profit that is now eaten by commission. New mechanics This bot stopped looking at price. It looks at pain. It is connected to the Liquidation Stream of Bybit and OKX exchanges. Price moves linearly. Liquidations are explosive. When a cascade of liquidations triggers on futures with margin calls of $50M+ per second the BTC price makes an impulse move that lasts 3-4 seconds before pulling back. This movement exceeds 1-2%. The essence The bot sees stop triggers on derivatives -> calculates impulse strength -> if Impulse > 3.15% Commission -> Enters the trade. While other bots filter market noise this script eats the corpses of margin traders from external exchanges. It doesn't care about direction. It cares about the amplitude of market pain. Result $205K net per month While you complain about commissions and unfair conditions the code adapted in 48 hours. No predictions. No AI. Just parasitizing on volatility of other people's mistakes. Right now this is the only working vector on 15-minute markets. A 3% commission is not scary if you take a 6% move. The nickname is a set of symbols. No avatar. It doesn't need fame it needs liquidity.

Blaze

91,710 просмотров • 6 месяцев назад

What does the U.S. expect from Cuba, why now, and who is next? The "Donroe Doctrine," as interpreted by Reuters, is the operational logic of a return to U.S. dominance in the Western Hemisphere: Washington seeks to control key energy and trade flows, push out competitors (primarily China, as well as Russia and Iran), and discipline its neighbors. ▪️ Cuba is a demonstration of the Donroe approach. President Trump is "pressuring Cuba" right now because a political moment has converged with Cuba’s technical vulnerability. Formally, the White House justifies its steps in the language of national security: Cuba is declared an "extraordinary threat," and therefore a mechanism is launched to punish not only Havana but also third countries that supply it with oil. The key instrument is neither "classic sanctions" nor a direct blockade, but tariffs as quasi-secondary sanctions: if a country sells or supplies oil to Cuba, the United States may impose an additional ad valorem duty on that country’s exports to the American market. This creates an effect of "fear and uncertainty": suppliers do not want to risk access to the U.S. for the sake of the Cuban route. ▪️ Why this is happening now is no coincidence. After Venezuelan oil supplies to Cuba were halted, Mexico is explicitly described as the main supplier, and the United States is attempting to "cut off" this very node and create an energy crisis on the island. The goal here is not simply to "punish," but to break the state’s ability to function and push the leadership toward concessions - or toward collapse. Domestic political interests in the U.S. also matter. A hardline policy toward Cuba has traditionally delivered electoral and symbolic returns among "hardline" circles in the United States, particularly in environments where Cuba is a marker of the struggle against "communist regimes." ▪️ Who could benefit from this? The most direct benefit is political: President Trump’s team and allied "hawks," who gain the opportunity to demonstrate results. The subjugation of Cuba is also a geopolitical signal to the region: the United States is demonstrating that it is prepared to discipline supply chains in the Western Hemisphere and punish partners with tariffs for "incorrect" cooperation. ▪️ Following President Trump’s "Cuban logic," it becomes clearer who might come after Cuba. The Donroe logic typically does not search abstractly for the "next enemy"; it looks either for target regimes where trade and economic tools are already available and a crisis can be created quickly, or for hub states through which regional behavior can be conveniently managed. • Nicaragua appears to be the most "structurally" suitable next target: a tariff and trade campaign (Section 301 and phased-in tariffs) has already been launched against it. • Parallel cases such as Haiti are also possible, though a different approach may be used there - not "breaking the regime," but managing the country’s political transition through signals to elites. • Colombia should also be concerned, as threats and hints of forceful options have been voiced regarding it. • Finally, Mexico, which is systematically under pressure to "align" with the American regional agenda.

What does the U.S. expect from Cuba, why now, and who is next? The "Donroe Doctrine," as interpreted by Reuters, is the operational logic of a return to U.S. dominance in the Western Hemisphere: Washington seeks to control key energy and trade flows, push out competitors (primarily China, as well as Russia and Iran), and discipline its neighbors. ▪️ Cuba is a demonstration of the Donroe approach. President Trump is "pressuring Cuba" right now because a political moment has converged with Cuba’s technical vulnerability. Formally, the White House justifies its steps in the language of national security: Cuba is declared an "extraordinary threat," and therefore a mechanism is launched to punish not only Havana but also third countries that supply it with oil. The key instrument is neither "classic sanctions" nor a direct blockade, but tariffs as quasi-secondary sanctions: if a country sells or supplies oil to Cuba, the United States may impose an additional ad valorem duty on that country’s exports to the American market. This creates an effect of "fear and uncertainty": suppliers do not want to risk access to the U.S. for the sake of the Cuban route. ▪️ Why this is happening now is no coincidence. After Venezuelan oil supplies to Cuba were halted, Mexico is explicitly described as the main supplier, and the United States is attempting to "cut off" this very node and create an energy crisis on the island. The goal here is not simply to "punish," but to break the state’s ability to function and push the leadership toward concessions - or toward collapse. Domestic political interests in the U.S. also matter. A hardline policy toward Cuba has traditionally delivered electoral and symbolic returns among "hardline" circles in the United States, particularly in environments where Cuba is a marker of the struggle against "communist regimes." ▪️ Who could benefit from this? The most direct benefit is political: President Trump’s team and allied "hawks," who gain the opportunity to demonstrate results. The subjugation of Cuba is also a geopolitical signal to the region: the United States is demonstrating that it is prepared to discipline supply chains in the Western Hemisphere and punish partners with tariffs for "incorrect" cooperation. ▪️ Following President Trump’s "Cuban logic," it becomes clearer who might come after Cuba. The Donroe logic typically does not search abstractly for the "next enemy"; it looks either for target regimes where trade and economic tools are already available and a crisis can be created quickly, or for hub states through which regional behavior can be conveniently managed. • Nicaragua appears to be the most "structurally" suitable next target: a tariff and trade campaign (Section 301 and phased-in tariffs) has already been launched against it. • Parallel cases such as Haiti are also possible, though a different approach may be used there - not "breaking the regime," but managing the country’s political transition through signals to elites. • Colombia should also be concerned, as threats and hints of forceful options have been voiced regarding it. • Finally, Mexico, which is systematically under pressure to "align" with the American regional agenda.

Anton Gerashchenko

119,330 просмотров • 5 месяцев назад

🚨BREAKING… the most sophisticated 5m & 15m Claude setup has just gone public If you’re trading on Polymarket, you NEED to pay attention to this. He began with a relatively small bankroll, engineered a fully autonomous system, and evolved it into a machine producing ~$700K in profit Profile → Copytrade → I analyzed his framework and honestly, it surprised me His FULL strategy: 1. 5 & 15-minute BTC, ETH, XRP & SOL arbitrage The bot operates within short-duration Bitcoin, Ethereum, XRP and Solana markets using 5 & 15-minute cycles. In these fast environments, it takes advantage of short-lived moments where YES + NO pricing drops below $1. The system locks in those inefficiencies instantly - no forecasting, no bias 2. Automation instead of reaction through configuration When volatility surges and emotions dominate, Claude executes instantly. No hesitation, no latency, no human delay. By the time most traders respond, the edge has already disappeared 3. Scaling through full autonomy Each individual trade captures pennies, not large gains. But automation enables continuous, high-frequency execution without exhaustion Scale is the true advantage 38,342 trades completed, each trivial on its own. Combined, they compounded into over $700K in profit

Shelpid.WI3M

57,867 просмотров • 4 месяцев назад

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Varun

308,337 просмотров • 3 месяцев назад

Polymarket introduced fees 3% to crush automated trading. A week ago in a Discord with developers we spent an hour doing the math: is it even possible to squeeze $250 a day on 15-minute markets with the new fees? The consensus: margin is dead. One developer didn't let that stop him from quietly making $98K a week. He automated the full pipeline: data parsing, entry calculation, trade execution. While everyone was counting fees, he was collecting money. Second place on the Polymarket leaderboard. I stared at his chart and couldn't figure it out: either I'm missing something, or the entire Discord was wrong. I found him by accident. Scrolling through top wallets and stumbled on numbers that didn't compute. $313 to start. Now $912K. Two months. I recalculated three times: $12-24K per day, and these aren't peak days, this is every day. The profit curve looks like someone drew it with a ruler. Not a single serious drawdown. Not one. For three weeks I watched this wallet. Entry timing. Position sizes. Which markets. What time of day. Looking for what separates him from hundreds of other automated traders. Then I noticed a pattern that made me uncomfortable. There's a 30-second window. Thirty seconds where Polymarket and reality don't match. BTC moves on Binance. The price already changed. But Polymarket odds are still frozen. Old numbers. Outdated prices. The world already shifted, but the prediction market is still asleep. Imagine an auction. You're standing in the room and hear the hammer drop. The lot sold for $50,000. But the other bidders are sitting in the next room watching a delayed broadcast. For them the bidding is still going. They're still raising their paddles trying to outbid. You know the lot already sold. They don't. This wallet is the one standing in the room. Every 15 minutes. Entry while odds are frozen. Wait. Window closes. Pays 30 cents, takes a dollar. No manual intervention. The developer automated the entire process and now just watches. The system only enters after a confirmed impulse on Binance and Coinbase, when Polymarket hasn't caught up to reality yet. The mechanics are laughably simple: Calculates fair value based on the last 10 trades. Price above FV, accumulate YES. Below, accumulate NO. No magic. Just basic math that takes money from people trading on emotions. And here's what got me. When Polymarket introduced fees, everyone wrote: end of automation. Now it'll be a fair game. Know what actually happened? Small players died. The ones with thin margins. The ones who couldn't afford to pay fees on every trade. And this titan? He just knocked off competitors. Less competition in the queue, more liquidity for him. Fees? Just a cost of doing business. At $98K a week it's a rounding error. Polymarket thought they were crushing freeloaders. In reality they cleared the field for one predator. $889K profit. Largest single win $28K. 723 thousand profile views. Profit curve goes straight up without a single serious drop. A human without automation can't even come close to this result. We blink. Think. Hesitate. While your finger reaches for the mouse, his system already closed the position. A week ago I decided to test it. Not analyze. Not build theories. Just copy. He entered a position, I followed. BTC market, 15-minute window. Nothing complicated. I didn't even understand what was happening, just copied. Four hours later I closed. +$247. It didn't change my life. But it changed how I see money working on this market. I spent three years drawing lines in TradingView. Reading analysis. Watching streams. $247 in 4 hours copying someone else's trade blindly. Know what I felt? Not joy. Anger. At myself. For all those years trying to be smarter than the market instead of just standing behind someone who already is. Here he is: Most traders try to predict the future. This one just watches the present arrive 30 seconds early. Right now somewhere BTC is moving on Binance. Polymarket is still asleep. You have 30 seconds. Will you be the one selling to him at old prices? Or the one standing beside him?

Blaze

94,122 просмотров • 5 месяцев назад

The 2023 Pheasant Hunting Forecast is available now, and it’s got us fired up for the season ahead! As you plan your hunts for this fall, be sure to check the forecast for a detailed state-by-state update on all things pheasants in the areas you plan to hunt. 🔗Link below. While each state has its own story to weave, twists to share and regions to look toward, the consistent theming across the core of the ring-necked pheasant range is this: » Yes, winter was harsh. In many places, pheasant hunters thought all was lost. But pheasants are tough and, when wintering habitat is there, can survive one hell of an onslaught of snow and cold. » A goodly base of the core pheasant range experienced almost ideal nesting conditions with a relatively dry and warm spring, punctuated by moisture at just the right times in early summer to help nesting habitat growth and vibrancy. Nesting success makes birds for hunting, period. » Conditions trend from generally dry to downright droughty heading into fall, and that will impact hunting, from the careful approach you might bring to the hunt, to habitat status on the ground (including some emergency mowing, haying and grazing regionally). For pheasants, and all other manner of upland wildlife, habitat is everything. Likewise for hunters. And it is where communion happens in fall, with a bird dog romping ahead, our hearts glad and faces smiling and a rooster out there somewhere, giving us the good old slip. The 2023 Pheasant Hunting Forecast is presented by Sportsman’s Guide #pheasantsforever #pheasanthunting #pheasants #upland #uplandhunting

The 2023 Pheasant Hunting Forecast is available now, and it’s got us fired up for the season ahead! As you plan your hunts for this fall, be sure to check the forecast for a detailed state-by-state update on all things pheasants in the areas you plan to hunt. 🔗Link below. While each state has its own story to weave, twists to share and regions to look toward, the consistent theming across the core of the ring-necked pheasant range is this: » Yes, winter was harsh. In many places, pheasant hunters thought all was lost. But pheasants are tough and, when wintering habitat is there, can survive one hell of an onslaught of snow and cold. » A goodly base of the core pheasant range experienced almost ideal nesting conditions with a relatively dry and warm spring, punctuated by moisture at just the right times in early summer to help nesting habitat growth and vibrancy. Nesting success makes birds for hunting, period. » Conditions trend from generally dry to downright droughty heading into fall, and that will impact hunting, from the careful approach you might bring to the hunt, to habitat status on the ground (including some emergency mowing, haying and grazing regionally). For pheasants, and all other manner of upland wildlife, habitat is everything. Likewise for hunters. And it is where communion happens in fall, with a bird dog romping ahead, our hearts glad and faces smiling and a rooster out there somewhere, giving us the good old slip. The 2023 Pheasant Hunting Forecast is presented by Sportsman’s Guide #pheasantsforever #pheasanthunting #pheasants #upland #uplandhunting

Pheasants Forever

12,339 просмотров • 2 лет назад