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Feb 4 Release Changelogs: - i18n multi-language support - Improved PNL cards and functionality - Limit orders functionality improvements - TWAP orders now continue to execute even when one trade fails - Relay USDC backfill fix - Added ability to get a quote when input is greater than available... show more

Jerry Pan

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46,500 views • 7 months ago •via X (Twitter)

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OpenAI just announced API access to o1 (advanced reasoning model) yesterday. I'm delighted to announce today a new short course, Reasoning with o1, built with OpenAI, and taught by Colin Jarvis, Head of AI Solutions at OpenAI, to show you how to use this effectively! Unlike previous language models which generate output directly, o1 “thinks before it responds,” and generates many reasoning tokens before returning a more thoughtful and accurate response. It is great at complex reasoning -- including planning for agentic workflows, coding, and domain-specific reasoning in STEM fields like law. But how you should use it is quite different from other LLMs. I think o1 will be a game changer for many AI applications; and in this course, you'll learn how to use it effectively. In detail, you’ll: - Learn to recognize what tasks o1 is suited for, and when to use a smaller model, or combine o1 with a smaller model - Understand the new principles of prompting reasoning models: Be simple and direct; no explicit chain-of-thought required; use structure; show rather than tell - Implement multi-step orchestration in which o1 plans, and hands tasks over to gpt-4o-mini to execute specific steps; this illustrates a design pattern to optimize intelligence (accuracy) and cost - Use o1 for a coding task to build a new application, edit existing code, and test performance by running a coding competition between o1-mini and GPT 4o - Use o1 for image understanding and learn how it performs better with a "hierarchy of reasoning," in which it incurs the latency and cost upfront, preprocessing the image and indexing it with rich details so it can be used for Q&A later - Learn a technique called meta-prompting, in which you use o1 to improve your prompts. Using a customer support evaluation set, you'll iteratively use o1 to modify a prompt to improve performance You'll also learn about how OpenAI used reinforcement learning to produce a model that uses "test-time compute" to improve performance. I think you'll find this course enjoyable and valuable. Please sign up for it here:

OpenAI just announced API access to o1 (advanced reasoning model) yesterday. I'm delighted to announce today a new short course, Reasoning with o1, built with OpenAI, and taught by Colin Jarvis, Head of AI Solutions at OpenAI, to show you how to use this effectively! Unlike previous language models which generate output directly, o1 “thinks before it responds,” and generates many reasoning tokens before returning a more thoughtful and accurate response. It is great at complex reasoning -- including planning for agentic workflows, coding, and domain-specific reasoning in STEM fields like law. But how you should use it is quite different from other LLMs. I think o1 will be a game changer for many AI applications; and in this course, you'll learn how to use it effectively. In detail, you’ll: - Learn to recognize what tasks o1 is suited for, and when to use a smaller model, or combine o1 with a smaller model - Understand the new principles of prompting reasoning models: Be simple and direct; no explicit chain-of-thought required; use structure; show rather than tell - Implement multi-step orchestration in which o1 plans, and hands tasks over to gpt-4o-mini to execute specific steps; this illustrates a design pattern to optimize intelligence (accuracy) and cost - Use o1 for a coding task to build a new application, edit existing code, and test performance by running a coding competition between o1-mini and GPT 4o - Use o1 for image understanding and learn how it performs better with a "hierarchy of reasoning," in which it incurs the latency and cost upfront, preprocessing the image and indexing it with rich details so it can be used for Q&A later - Learn a technique called meta-prompting, in which you use o1 to improve your prompts. Using a customer support evaluation set, you'll iteratively use o1 to modify a prompt to improve performance You'll also learn about how OpenAI used reinforcement learning to produce a model that uses "test-time compute" to improve performance. I think you'll find this course enjoyable and valuable. Please sign up for it here:

Andrew Ng

357,661 views • 1 year ago

Introducing: Power Trade Mode on Dhan Web ( ⚡️ Speed of execution is one of the most crucial factors in trading, especially when you are trading in large quantities. Starting today, traders can manage their Open Positions and Pending Orders more quickly and efficiently with just a few clicks enabled with the all new Power Trade mode. ✅Quickly manage Open Positions and Pending Orders in a few clicks, ideal for SuperTraders who want even more speed and precision on Dhan. ✅Adjust remaining quantity, modify limit price, fast execute as a market order, or cancel under Pending Orders. ✅Under the Positions Tab, convert the product type, adjust the quantity, and initiate a fast exit. Traders will also get to see the usual Add More, Square Off, Reverse, Access Charts, and Manage Positions in detail. For large trades, the system will automatically slice orders even if you increase the quantity beyond freeze limits. This ensures the successful execution of all orders using our very own DEXT. The Power Trade Mode makes the fast even faster. Check it out now! #MadeForTrade

Introducing: Power Trade Mode on Dhan Web ( ⚡️ Speed of execution is one of the most crucial factors in trading, especially when you are trading in large quantities. Starting today, traders can manage their Open Positions and Pending Orders more quickly and efficiently with just a few clicks enabled with the all new Power Trade mode. ✅Quickly manage Open Positions and Pending Orders in a few clicks, ideal for SuperTraders who want even more speed and precision on Dhan. ✅Adjust remaining quantity, modify limit price, fast execute as a market order, or cancel under Pending Orders. ✅Under the Positions Tab, convert the product type, adjust the quantity, and initiate a fast exit. Traders will also get to see the usual Add More, Square Off, Reverse, Access Charts, and Manage Positions in detail. For large trades, the system will automatically slice orders even if you increase the quantity beyond freeze limits. This ensures the successful execution of all orders using our very own DEXT. The Power Trade Mode makes the fast even faster. Check it out now! #MadeForTrade

Dhan - Made for Trade

174,348 views • 1 year ago

Introducing Fincopy: Revolutionizing Family Account Management 🚀 Visit: Managing multiple family accounts just got easier with Fincopy, our platform designed to streamline and optimize your trading experience. Fincopy helps you to execute multiple orders across various family accounts simultaneously, providing efficiency and ease. Key Features of Fincopy: 1. Server-Based Copying 💻: With Fincopy's server-based technology, you can initiate the copy function, log off your PC, and rest assured that all orders placed via web, mobile, and desktop applications will continue to be copied seamlessly. 2. Real-Time Telegram Updates 📲: Stay informed on the go with instant order updates and account status notifications delivered directly to your Telegram. Keep track of your trading activities wherever you are. 3. Comprehensive Position Monitoring 📺: Monitor all open and closed orders and positions across your accounts in one centralized location. Fincopy provides a complete overview of your trading landscape, ensuring you never miss a detail. 4. Effortless Rebalancing ⚖️: If discrepancies arise in positions or quantities, Fincopy's rebalancing feature allows you to adjust with a single click, ensuring all accounts remain perfectly aligned. 5. Auto Slicing and Rate Limit Management 🔪: When order slicing is necessary while copying. Fincopy automatically handles the process, by sending sliced orders. For large orders, our built-in queuing system efficiently manages rate limits, ensuring smooth execution. 6. Advanced Order Management 💹: Simplify your trading operations with the ability to square off all open orders or positions with one click, or selectively cancel orders directly from the platform. Fincopy puts you in full control. 7. Multi-Broker Support ✅: Fincopy currently supports seven brokers, with plans to expand further. This ensures you can manage your family accounts across different platforms without hassle. 8. Run Your System Trades and Copy the Orders Simultaneously 👩‍💻 By combining Fincopy with Fintarget you will be able to automate your system trading for free and copy the orders to multiple accounts. Pricing: Starting from 299/ Month/ Account with 7 Day Free Trail Explore Today🚀 Try out family account management with Fincopy. Visit and request a demo to experience the platform. Note: Fincopy is designed exclusively for managing family accounts, as managing public accounts is not legally permitted. Experience efficiency with Fincopy today.

Introducing Fincopy: Revolutionizing Family Account Management 🚀 Visit: Managing multiple family accounts just got easier with Fincopy, our platform designed to streamline and optimize your trading experience. Fincopy helps you to execute multiple orders across various family accounts simultaneously, providing efficiency and ease. Key Features of Fincopy: 1. Server-Based Copying 💻: With Fincopy's server-based technology, you can initiate the copy function, log off your PC, and rest assured that all orders placed via web, mobile, and desktop applications will continue to be copied seamlessly. 2. Real-Time Telegram Updates 📲: Stay informed on the go with instant order updates and account status notifications delivered directly to your Telegram. Keep track of your trading activities wherever you are. 3. Comprehensive Position Monitoring 📺: Monitor all open and closed orders and positions across your accounts in one centralized location. Fincopy provides a complete overview of your trading landscape, ensuring you never miss a detail. 4. Effortless Rebalancing ⚖️: If discrepancies arise in positions or quantities, Fincopy's rebalancing feature allows you to adjust with a single click, ensuring all accounts remain perfectly aligned. 5. Auto Slicing and Rate Limit Management 🔪: When order slicing is necessary while copying. Fincopy automatically handles the process, by sending sliced orders. For large orders, our built-in queuing system efficiently manages rate limits, ensuring smooth execution. 6. Advanced Order Management 💹: Simplify your trading operations with the ability to square off all open orders or positions with one click, or selectively cancel orders directly from the platform. Fincopy puts you in full control. 7. Multi-Broker Support ✅: Fincopy currently supports seven brokers, with plans to expand further. This ensures you can manage your family accounts across different platforms without hassle. 8. Run Your System Trades and Copy the Orders Simultaneously 👩‍💻 By combining Fincopy with Fintarget you will be able to automate your system trading for free and copy the orders to multiple accounts. Pricing: Starting from 299/ Month/ Account with 7 Day Free Trail Explore Today🚀 Try out family account management with Fincopy. Visit and request a demo to experience the platform. Note: Fincopy is designed exclusively for managing family accounts, as managing public accounts is not legally permitted. Experience efficiency with Fincopy today.

Saketh R

76,359 views • 2 years ago

Fresh HUGE update of Sl8 apps is available in App Store and Google Play 😍 Patch Notes - Fixed avatar disappearing when editing profile data - Added support for YouTube links in the main image carousel - Fixed auto-triggering translation in feed without user interaction - Fixed missing or untappable “Add Asset” button in the asset info modal - Wallet balance now refreshes automatically after token exchange - Fixed staking entries showing under “Active” even after completion - Fixed and refactored authorization requests - Fixed corrupted post/comment data in certain cases - Fixed issue where users were logged out after app restart when biometrics were disabled - Fixed deeplink handling issues - Improved cropping and preview logic for profile cover image - Added comment flag to API to mark when a user comments under their own post Also, Search Fixes: - Improved input handling: search now waits for user to finish typing before executing - Fixed issue (“Something went wrong”) during search with no way to recover - Fixed “Something went wrong” error when scrolling through search results Sl8 Wallet updated as well: - USD value for assets is now displaying correctly - Transaction history is now available, finally - There is now a calendar of payments by stakings. Each steakings has a payment schedule and additional information. - Live balances, equivalents and exchange rates updates - Now you can add/remove assets, see recommended assets and have an ability to search* by domain/name of asset - Now you can add wallet address to address book, while sending funds - 24h trend markers and asset exchange rate are now visible nearby each asset - Now you can see extended staking information - Also, rewards schedule with transaction links and statuses now available Stay with us, buckle up))

Cassator Corp.

19,019 views • 1 year ago

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

The Visual Studio Code insiders version that just shipped and will ship in the next few days will come with an insane amount of new capabilities. A few highlights: - You can now run sub-agents in parallel. Yes, really. I even attached a video. - Major UX improvements for sub agents, especially visible in the chat window - A new search tool wrapped as a sub-agent that iteratively runs multiple search tools: semantic_search, file_search, grep_search Which connects nicely to the point above: multiple searches running in parallel, efficiently and fast - Anthropic’s Message API is now enabled by default - You can choose the model for the cloud agent (three available, all premium) - Extended thinking support when using the Claude cloud agent This is part of the broader multi-vendor cloud support under AgentsHQ I wrote about a few weeks ago - Tasks sent to the background agent (basically the CLI tool) now always run in isolation, each with its own git worktree - In a multi-repo workspace, assigning a task to a cloud agent prompts you to choose the target repo Same behavior when opening an empty workspace with no repo - Support for building an external index for files not supported by GitHub’s default indexing - UI/UX improvements for starting new sessions and switching between local / background / cloud agents - Skills are now first-class citizens, just like prompt files, with better UX indicating when a skill is loaded - Improved API for dynamic contribution of prompt files New V2 includes skills as part of the model. Curious to see the extensions that will leverage this - Finally, initial support for showing context usage percentage per session - Skills are enabled by default - Resizable chat window and session view. Small thing, but it was driving me crazy 😁 - A new integrated browser meant to replace the old simple browser Maybe the beginning of real browser use? - Better UI/UX for token streaming in chat - Ability to index external files not supported by GitHub There’s a lot more. Some of it hasn’t fully landed yet, but everything that has is already in Insiders. The next stable release should drop in early February. As usual, I’m just shocked by the volume of features this team ships every month. After the holiday slowdown, this one is shaping up to be a wild release.

Oren Melamed

29,555 views • 7 months ago

The stuff we have been cooking @ is wild. Massive companies are pre-paying and setting up their accounts to get early access—this release is the start of what is to come. The biggest thing is: Intercom Integration is here and it's unlike, anything you've seen or tried before. When you add Intercom to BuildBetter, we process every ticket by type, topic, sentiment, emotion, and impact, allowing you to analyze trends and find specific quotes easily. You can even chat with every support ticket in combination with your internal data. It's accuracy is unlike any other platform. But because BuildBetter doesn't just have your external customer data, but also your internal calls and chats... for the first time, you can answer questions like: "What are our customers complaining about this week in Intercom that our team isn't working on?" If you've ever tried to answer that question, you know the weeks worth of work. We've also added 3 of our largest requested quality-of-life improvements: 1) Individual call sharing: You can now keep a call private and share it with one person. 2) Bot image options: Now you can customize what the bot looks like for your team/org calls (small, but big). 3) Join Workspace URL: Share your organization invite link instead of needing to invite others one-by-one. Plus, we still have domain join verification steps, so it's not just the fastest but the safest way to get your team onboarded!

The stuff we have been cooking @ is wild. Massive companies are pre-paying and setting up their accounts to get early access—this release is the start of what is to come. The biggest thing is: Intercom Integration is here and it's unlike, anything you've seen or tried before. When you add Intercom to BuildBetter, we process every ticket by type, topic, sentiment, emotion, and impact, allowing you to analyze trends and find specific quotes easily. You can even chat with every support ticket in combination with your internal data. It's accuracy is unlike any other platform. But because BuildBetter doesn't just have your external customer data, but also your internal calls and chats... for the first time, you can answer questions like: "What are our customers complaining about this week in Intercom that our team isn't working on?" If you've ever tried to answer that question, you know the weeks worth of work. We've also added 3 of our largest requested quality-of-life improvements: 1) Individual call sharing: You can now keep a call private and share it with one person. 2) Bot image options: Now you can customize what the bot looks like for your team/org calls (small, but big). 3) Join Workspace URL: Share your organization invite link instead of needing to invite others one-by-one. Plus, we still have domain join verification steps, so it's not just the fastest but the safest way to get your team onboarded!

Spencer Shulem

260,318 views • 2 years ago

Bitcoin belongs in the apps people already use 🤳💥 In this episode of Shoot the Breez, we sit down with Atanas Tonchev, CTO and co-founder of ⚡️Ordermoon 🧡⚡️, a company bringing bitcoin to restaurants, one plate at a time. Atanas’ bitcoin story started in 2016, when he paid for sushi with sats to get 10% off. For him, it wasn’t about holding. It was about using bitcoin as a medium of exchange. That ethos still drives ordermoon today. The platform now supports more than 500 venues, from bookings and orders to managing deliveries. And in 2024, they added something new: bitcoin. No new app. No extra friction. Just one more button, built directly into the tools restaurants already use and powered by the Breez SDK. With support from the local community, Bitcoin Beach, and Geyser ⚡️, they’re building a circular economy from the ground up in Bulgaria. In Sofia alone, 21 venues now accept bitcoin. From whiskey bars to sushi spots, business owners are proudly orange-pilled, and the bitcoin sticker is everywhere from the front door to the bathroom mirror. And it’s not stopping in Sofia. ⚡️Ordermoon 🧡⚡️ is looking to expand across the Balkans, bringing bitcoin to more restaurants, more cities, and more people. Here’s Atanas’ story.

Bitcoin belongs in the apps people already use 🤳💥 In this episode of Shoot the Breez, we sit down with Atanas Tonchev, CTO and co-founder of ⚡️Ordermoon 🧡⚡️, a company bringing bitcoin to restaurants, one plate at a time. Atanas’ bitcoin story started in 2016, when he paid for sushi with sats to get 10% off. For him, it wasn’t about holding. It was about using bitcoin as a medium of exchange. That ethos still drives ordermoon today. The platform now supports more than 500 venues, from bookings and orders to managing deliveries. And in 2024, they added something new: bitcoin. No new app. No extra friction. Just one more button, built directly into the tools restaurants already use and powered by the Breez SDK. With support from the local community, Bitcoin Beach, and Geyser ⚡️, they’re building a circular economy from the ground up in Bulgaria. In Sofia alone, 21 venues now accept bitcoin. From whiskey bars to sushi spots, business owners are proudly orange-pilled, and the bitcoin sticker is everywhere from the front door to the bathroom mirror. And it’s not stopping in Sofia. ⚡️Ordermoon 🧡⚡️ is looking to expand across the Balkans, bringing bitcoin to more restaurants, more cities, and more people. Here’s Atanas’ story.

Breez ⚡

10,111 views • 1 year ago

Claude Fable 5 bots will REPLACE human traders Built the simplest arb bot for Polymarket in ~4 hours Cost: 5M tokens Current session PnL: +$2,793.36 And it still does one thing: Opening a trade when YES + NO One side pays $1, the other pays $0 So if both contracts can be bought for less than $1 combined, the math is in your favor. And it happens EVERY DAY hundreds of times due to orderbook inefficiency. For a few seconds YES sits at 48 cents while NO sits at 50. That's 98 cents you spend to buy a dollar. But the problem isn't finding these opportunities, it's getting there before everyone else. My first version was slow. Every loop it recalculated everything from scratch. Downloaded metadata, parsed markets, prepared orders, then checked prices. By the time it was ready, the opportunity was usually gone. The new version works differently. It caches all market metadata in memory and only refreshes the prices. Even more importantly, the orders are prepared before the opportunity exists. So when YES + NO finally drops below $1, there's almost nothing left to calculate. The bot just validates the numbers and fires both orders immediately. Those few hundred milliseconds sound tiny. But arbitrage is a race. The bot with the best strategy doesn't always win. The bot that gets there first usually does. Use this tip before building yours and make sure to explain Claude to focus on speed first. The detector is an easy part anyone can make. In arbitrage that's the only edge that matters. Attaching a full build guide below if you wanna deep dive into arb. Good luck!

Claude Fable 5 bots will REPLACE human traders Built the simplest arb bot for Polymarket in ~4 hours Cost: 5M tokens Current session PnL: +$2,793.36 And it still does one thing: Opening a trade when YES + NO One side pays $1, the other pays $0 So if both contracts can be bought for less than $1 combined, the math is in your favor. And it happens EVERY DAY hundreds of times due to orderbook inefficiency. For a few seconds YES sits at 48 cents while NO sits at 50. That's 98 cents you spend to buy a dollar. But the problem isn't finding these opportunities, it's getting there before everyone else. My first version was slow. Every loop it recalculated everything from scratch. Downloaded metadata, parsed markets, prepared orders, then checked prices. By the time it was ready, the opportunity was usually gone. The new version works differently. It caches all market metadata in memory and only refreshes the prices. Even more importantly, the orders are prepared before the opportunity exists. So when YES + NO finally drops below $1, there's almost nothing left to calculate. The bot just validates the numbers and fires both orders immediately. Those few hundred milliseconds sound tiny. But arbitrage is a race. The bot with the best strategy doesn't always win. The bot that gets there first usually does. Use this tip before building yours and make sure to explain Claude to focus on speed first. The detector is an easy part anyone can make. In arbitrage that's the only edge that matters. Attaching a full build guide below if you wanna deep dive into arb. Good luck!

Oracle Boar

66,687 views • 2 months ago

🖼️🌈 NFT Support is live in the Rainbow Extension! 🌈 🖼️ The best-in-class NFT experience you know and love from the Rainbow mobile app is now available in your browser extension! Multi-Chain: Explore NFTs across ecosystems with ease—the Rainbow Extension seamlessly supports all of the chains Rainbow offers out-of-the-box, including Arbitrum, Optimism, Base, Polygon, BSC, and Zora. Choose-Your-Own Display: We believe in customization and user-centric design. Rainbow Extension allows you to personalize your NFT collection's display, allowing you to sort and switch between multiple display modes. Users with large collections will love the ability to sort their NFTs by Recent vs Alphabetical! Metadata and more: Looks rare, is that a grail? Inspecting your NFTs metadata and traits has never been simpler. With Rainbow Extension, you can effortlessly review key details such as metadata, traits, floor prices and the percentage of unique holders of any of your NFTs. Open up your browser and explore NFTs on your Rainbow Extension today. ✨ Find all of the changes in the latest update below ⬇️⏬⬇️⏬⬇️ Improvements 💞 → You can now view all of your NFTs and NFT collections in Rainbow, just like the app. Head over to the new NFTs tab to view your Gallery and explore your NFTs with rich insights, including Floor Prices, Unique Owners, Rarity, and more → Drastically improved image fetching and rendering for Tokens, NFTs, and Avatars to make Rainbow feel even faster Bug fixes 🐞 → Resolved interface shift when loading Tokens and Token Charts → Improved Onboarding Secret Recovery Phrase verification language

🖼️🌈 NFT Support is live in the Rainbow Extension! 🌈 🖼️ The best-in-class NFT experience you know and love from the Rainbow mobile app is now available in your browser extension! Multi-Chain: Explore NFTs across ecosystems with ease—the Rainbow Extension seamlessly supports all of the chains Rainbow offers out-of-the-box, including Arbitrum, Optimism, Base, Polygon, BSC, and Zora. Choose-Your-Own Display: We believe in customization and user-centric design. Rainbow Extension allows you to personalize your NFT collection's display, allowing you to sort and switch between multiple display modes. Users with large collections will love the ability to sort their NFTs by Recent vs Alphabetical! Metadata and more: Looks rare, is that a grail? Inspecting your NFTs metadata and traits has never been simpler. With Rainbow Extension, you can effortlessly review key details such as metadata, traits, floor prices and the percentage of unique holders of any of your NFTs. Open up your browser and explore NFTs on your Rainbow Extension today. ✨ Find all of the changes in the latest update below ⬇️⏬⬇️⏬⬇️ Improvements 💞 → You can now view all of your NFTs and NFT collections in Rainbow, just like the app. Head over to the new NFTs tab to view your Gallery and explore your NFTs with rich insights, including Floor Prices, Unique Owners, Rarity, and more → Drastically improved image fetching and rendering for Tokens, NFTs, and Avatars to make Rainbow feel even faster Bug fixes 🐞 → Resolved interface shift when loading Tokens and Token Charts → Improved Onboarding Secret Recovery Phrase verification language

Rainbow

51,848 views • 2 years ago

Mike is back and better than ever. Mike ( has undergone a major refresh packed with new features, design improvements, and quality-of-life enhancements. And as always, everything is open source. Here is a summary of the major updates: 1. Legal research Case law hallucinations are a massive problem. To address this, Mike's assistant can now produce grounded citations backed by case law from CourtListener. The integration is tight and highly intuitive. Every answer includes links to cited cases, along with supporting quotations from judicial opinions to substantiate each proposition made by the AI. The assistant also researches cases in much the same way a lawyer would. It retrieves potentially relevant authorities, verifies the accuracy of citations, and searches for keywords that align with the research topic. Support for additional jurisdictions will be added soon. 2. Improved user interface (UI) The UI has been redesigned around Apple's Liquid Glass design principles, giving the application a cleaner and more minimalist feel down to every modal and button. Mike is designed to be a place of calm where lawyers can focus amidst the chaos of legal practice. 3. Version control Lawyers are familiar with saving documents as new versions in document management systems such as iManage and NetDocuments. Mike now brings this workflow into projects by allowing users to save new versions on top of existing documents with a simple drag-and-drop action. This introduces order and clarity to matters where redlines and document versions can quickly become confusing, especially when there are five different files named "Final Execution Version." 4. Data control Users can now export their data and permanently delete their data directly from the Settings page. 5. Security Multi-factor authentication (MFA) is now available. Users can enable MFA to protect sensitive actions within Mike, such as data deletion, and can also optionally require MFA during login. There have also been numerous backend security improvements since the previous release. 6. MCP connectors This was one of the most requested features. Users can now add MCP connectors directly from Settings. All tokens and secrets are encrypted at rest. In the demo video, I showcase the Neimo MCP from k-ID, a global age verification and compliance platform. Mike can also be connected to other MCP servers, including email systems. The setup process is currently somewhat manual, but one-click authentication and onboarding will be added in a future release. Mike now has a strong open-source community behind it and is improving every single day. The summary above highlights just some of the work that has been shipped over the past month. I'll also be doing more demos to showcase Mike's capabilities. See you soon.

Mike is back and better than ever. Mike ( has undergone a major refresh packed with new features, design improvements, and quality-of-life enhancements. And as always, everything is open source. Here is a summary of the major updates: 1. Legal research Case law hallucinations are a massive problem. To address this, Mike's assistant can now produce grounded citations backed by case law from CourtListener. The integration is tight and highly intuitive. Every answer includes links to cited cases, along with supporting quotations from judicial opinions to substantiate each proposition made by the AI. The assistant also researches cases in much the same way a lawyer would. It retrieves potentially relevant authorities, verifies the accuracy of citations, and searches for keywords that align with the research topic. Support for additional jurisdictions will be added soon. 2. Improved user interface (UI) The UI has been redesigned around Apple's Liquid Glass design principles, giving the application a cleaner and more minimalist feel down to every modal and button. Mike is designed to be a place of calm where lawyers can focus amidst the chaos of legal practice. 3. Version control Lawyers are familiar with saving documents as new versions in document management systems such as iManage and NetDocuments. Mike now brings this workflow into projects by allowing users to save new versions on top of existing documents with a simple drag-and-drop action. This introduces order and clarity to matters where redlines and document versions can quickly become confusing, especially when there are five different files named "Final Execution Version." 4. Data control Users can now export their data and permanently delete their data directly from the Settings page. 5. Security Multi-factor authentication (MFA) is now available. Users can enable MFA to protect sensitive actions within Mike, such as data deletion, and can also optionally require MFA during login. There have also been numerous backend security improvements since the previous release. 6. MCP connectors This was one of the most requested features. Users can now add MCP connectors directly from Settings. All tokens and secrets are encrypted at rest. In the demo video, I showcase the Neimo MCP from k-ID, a global age verification and compliance platform. Mike can also be connected to other MCP servers, including email systems. The setup process is currently somewhat manual, but one-click authentication and onboarding will be added in a future release. Mike now has a strong open-source community behind it and is improving every single day. The summary above highlights just some of the work that has been shipped over the past month. I'll also be doing more demos to showcase Mike's capabilities. See you soon.

WillC

10,293 views • 2 months ago

Donchaab’s CEO: How the brand was born and where it’s heading 🍌 #OFFROAD #offroad_KTP #ออฟโรด โดนฉาบ The Origin of DonChaab 🚗: It started when my mom came to visit me from our hometown. She brought snacks I like, and one of them was banana chips. At first, I didn’t even know where she bought them. At that time, P’Ou was visiting too, and we finished all of them. Later, I told my fans about it, and they suggested launching pre-orders for the banana chips — probably around two years ago now. Back then, they were just in these clear plastic packages, without FDA approval or Halal certification. The goal was simply to support the auntie who made them. She was supporting her grandchildren and her disabled husband. So every time we opened pre-orders, it felt like we were giving hope to that family. In return, we felt fulfilled as givers. When the fans learned about this, they realized they were helping support the family too. I kept it going without thinking much about profits. Looking back, I think it was such a beautiful beginning. 🚗: Later, I decided to continue building on it and named the brand DonChaab. The inspiration for the name partly came from the song “Chaab,” which has a fun and cute vibe. I continued selling to fans until demand exceeded supply. They couldn’t produce enough, and orders fell behind. So I thought, let’s start this properly — and that’s how this was born 🍌✨ (shows the current DonChaab) — Nong DonChaab. The mascot’s name is Jao Chaab, proposed and voted on by the fans. (turns the package) And this is Nong’s back. From those clear plastic bags… to this ✨ today. 🚗: On the package, it says “Local Farmers Supported,” because Thailand is an agricultural nation. Many fruits are exported from Thailand, and I thought it would be really cool if Thai traditional fruit snacks could also reach overseas markets. Look — it even says “Product of Thailand” on the back, which I’m really proud of! 🚗: I launched the brand not long ago, and I’m still learning as I go — adjusting the packaging, the service system, the toppings, and everything else. That’s how the brand came to be — expanding from supporting one local farmer to supporting many. In general, not just for DonChaab, when you buy processed agricultural products like this, you help reduce waste. When supply exceeds demand, produce might go to waste. By turning them into processed products, they can instead be distributed to consumers. 🚗: The brand will definitely implement Corporate Social Responsibility (CSR) initiatives, but that depends on your support. A portion of the profits will be allocated toward CSR. As I said in one interview — as someone who has received so much, if one day I feel that I’ve received enough, I want to start giving back. Through this brand, fans get to enjoy the snacks, and I get to run the business my way — building my own team, creating opportunities for recent graduates and people of all ages, and shaping the kind of work environment I’ve always envisioned. 🍌// Currently, DonChaab can be ordered online at and is shipped domestically only. Orders are released in rounds, and the most recent one just closed. So keep an eye out for the next round! In the near future, international shipping may also become available. T/N: I skip some parts where he talks about the products, visit the website for more specific details!

Be~nyaa 💫

11,876 views • 6 months ago

Stop Gambling, Start Engineering: The Ultimate Guide To CCXT Algorithmic Trading most traders are essentially walking into a high stakes casino with a blindfold on while the house has a high speed laser aimed directly at their bankroll. if you have ever felt the soul crushing weight of a liquidation notification at three in the morning then you know the market is a 24/7 beast that eats human emotion for breakfast there is a hidden bridge that connects your laptop to almost every major crypto exchange in existence and once you cross it the game changes forever. my name is moon dev i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading so i learned to code as in the past i spent hundreds of thousands on devs for app, thinking i would not be able to code myself w/ bots you must iterate to success so i decided to learn live on youtube, and now we are here, fully automated systems trading for me instead of getting liquidated. the secret weapon behind this transition is a library called ccxt which acts as a universal translator for exchanges like binance, bybit, and kucoin most people think they need to spend years studying computer science just to place a single trade via code but that is a lie designed to keep you on the sidelines. the reality is that once you understand how to initialize a connection you can control your entire portfolio with just a few lines of logic. it starts with importing the library and setting up your credentials in a way that doesn't leave your keys exposed to the world the first mistake that bankrupts most manual traders is the inability to act fast enough when the trend shifts. when you build a bot the first thing you need to master is the market order because it allows you to enter or exit a position instantly regardless of the price. it is the ultimate panic button for when a strategy goes south or a massive opportunity presents itself while market orders are great for speed they are the fastest way to get eaten alive by fees if you are not careful. this is where the limit order comes into play allowing you to dictate exactly what price you are willing to pay for an asset. by using a create limit order function you can place your bids and asks in the order book and wait for the market to come to you most traders forget that once an order is placed it stays active until it is either filled or manually removed. i have seen countless accounts go to zero because a bot kept piling on buy orders without ever checking to see if the previous ones were canceled. the cancel all orders function is the invisible shield that prevents your algorithm from accidentally over leveraging your account the real magic happens when you realize you can cancel more than just basic limit orders. there are untriggered conditional orders like stop losses and take profits that often hide in the background of an exchange waiting to ruin your day. by passing specific parameters into your cancel function you can wipe the slate clean and ensure your bot is starting from a neutral state every single time if you want to know what the whales are doing before it shows up on a candle chart then you need to be looking at the raw order book. fetching the order book gives you a direct view of every single bid and ask currently sitting on the exchange. this is the most honest data you can get because it represents real money waiting to be filled at specific price levels you can actually parse this data to find the exact top of the bid and the bottom of the ask to ensure your bot always gets the best possible entry. most retail traders are looking at delayed charts while your bot is reading the tape in real time and calculating the spread. this allows you to place orders that are optimized for the current liquidity rather than just guessing where the price might go one of the biggest hurdles in automation is managing the sheer volume of data that an exchange throws at you. when you fetch open high low close volume data you are getting the historical heartbeat of an asset across any timeframe you choose. this data is the foundation of every technical indicator from simple moving averages to complex machine learning models the problem is that raw data is often a mess of lists and dictionaries that are impossible for a human or a simple script to read efficiently. this is why we use pandas to convert that garbage into a structured data frame that looks exactly like a clean spreadsheet. once your data is in a data frame you can calculate rsi or macd with a single line of code and visualize the entire market structure the path to becoming a successful automated trader is not a sprint but a series of iterations toward a system that works. i chose to learn this live in front of the world because i wanted to prove that anyone can escape the cycle of over trading. you don't need a million dollars to start but you do need a system that removes the human element from the equation if you are still clicking buttons on a website then you are competing against machines that can process thousands of data points per second. it is time to stop playing a rigged game and start building your own edge in the market. the code is there for anyone to grab and the only thing standing between you and a fully automated portfolio is the willingness to sit down and write the first line every algorithm you build is a brick in a wall that protects your capital from the emotional swings of the crypto market. i spend my days refining these systems and sharing the process because i know how lonely it feels to lose everything to a flash crash. we are building a community where code is the tool and financial freedom is the goal the final step is realizing that your balance is just a number that your bot needs to manage with cold logic. by fetching your balance frequently your bot can calculate position sizes based on your total equity ensuring that no single trade can ever wipe you out. this is the difference between gambling and systematic trading and it is accessible to anyone with an internet connection i hope you take these tools and start building something that allows you to sleep peacefully while the markets do their thing. the industry is secretive for a reason but we are breaking those walls down one line of code at a time. the journey is long but the reward of never having to worry about a liquidation again is worth every second of the struggle

Stop Gambling, Start Engineering: The Ultimate Guide To CCXT Algorithmic Trading most traders are essentially walking into a high stakes casino with a blindfold on while the house has a high speed laser aimed directly at their bankroll. if you have ever felt the soul crushing weight of a liquidation notification at three in the morning then you know the market is a 24/7 beast that eats human emotion for breakfast there is a hidden bridge that connects your laptop to almost every major crypto exchange in existence and once you cross it the game changes forever. my name is moon dev i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading so i learned to code as in the past i spent hundreds of thousands on devs for app, thinking i would not be able to code myself w/ bots you must iterate to success so i decided to learn live on youtube, and now we are here, fully automated systems trading for me instead of getting liquidated. the secret weapon behind this transition is a library called ccxt which acts as a universal translator for exchanges like binance, bybit, and kucoin most people think they need to spend years studying computer science just to place a single trade via code but that is a lie designed to keep you on the sidelines. the reality is that once you understand how to initialize a connection you can control your entire portfolio with just a few lines of logic. it starts with importing the library and setting up your credentials in a way that doesn't leave your keys exposed to the world the first mistake that bankrupts most manual traders is the inability to act fast enough when the trend shifts. when you build a bot the first thing you need to master is the market order because it allows you to enter or exit a position instantly regardless of the price. it is the ultimate panic button for when a strategy goes south or a massive opportunity presents itself while market orders are great for speed they are the fastest way to get eaten alive by fees if you are not careful. this is where the limit order comes into play allowing you to dictate exactly what price you are willing to pay for an asset. by using a create limit order function you can place your bids and asks in the order book and wait for the market to come to you most traders forget that once an order is placed it stays active until it is either filled or manually removed. i have seen countless accounts go to zero because a bot kept piling on buy orders without ever checking to see if the previous ones were canceled. the cancel all orders function is the invisible shield that prevents your algorithm from accidentally over leveraging your account the real magic happens when you realize you can cancel more than just basic limit orders. there are untriggered conditional orders like stop losses and take profits that often hide in the background of an exchange waiting to ruin your day. by passing specific parameters into your cancel function you can wipe the slate clean and ensure your bot is starting from a neutral state every single time if you want to know what the whales are doing before it shows up on a candle chart then you need to be looking at the raw order book. fetching the order book gives you a direct view of every single bid and ask currently sitting on the exchange. this is the most honest data you can get because it represents real money waiting to be filled at specific price levels you can actually parse this data to find the exact top of the bid and the bottom of the ask to ensure your bot always gets the best possible entry. most retail traders are looking at delayed charts while your bot is reading the tape in real time and calculating the spread. this allows you to place orders that are optimized for the current liquidity rather than just guessing where the price might go one of the biggest hurdles in automation is managing the sheer volume of data that an exchange throws at you. when you fetch open high low close volume data you are getting the historical heartbeat of an asset across any timeframe you choose. this data is the foundation of every technical indicator from simple moving averages to complex machine learning models the problem is that raw data is often a mess of lists and dictionaries that are impossible for a human or a simple script to read efficiently. this is why we use pandas to convert that garbage into a structured data frame that looks exactly like a clean spreadsheet. once your data is in a data frame you can calculate rsi or macd with a single line of code and visualize the entire market structure the path to becoming a successful automated trader is not a sprint but a series of iterations toward a system that works. i chose to learn this live in front of the world because i wanted to prove that anyone can escape the cycle of over trading. you don't need a million dollars to start but you do need a system that removes the human element from the equation if you are still clicking buttons on a website then you are competing against machines that can process thousands of data points per second. it is time to stop playing a rigged game and start building your own edge in the market. the code is there for anyone to grab and the only thing standing between you and a fully automated portfolio is the willingness to sit down and write the first line every algorithm you build is a brick in a wall that protects your capital from the emotional swings of the crypto market. i spend my days refining these systems and sharing the process because i know how lonely it feels to lose everything to a flash crash. we are building a community where code is the tool and financial freedom is the goal the final step is realizing that your balance is just a number that your bot needs to manage with cold logic. by fetching your balance frequently your bot can calculate position sizes based on your total equity ensuring that no single trade can ever wipe you out. this is the difference between gambling and systematic trading and it is accessible to anyone with an internet connection i hope you take these tools and start building something that allows you to sleep peacefully while the markets do their thing. the industry is secretive for a reason but we are breaking those walls down one line of code at a time. the journey is long but the reward of never having to worry about a liquidation again is worth every second of the struggle

Moon Dev

14,105 views • 7 months ago

Look ma new Codex Updates! 0.119.0 and 0.120.0 are here. And with it, a HUGE number of quality of life updates and bug fixes! > Hooks now render in a dedicated live area above the composer. They only persist when they have output, so your terminal stays clean. If you're running PreToolUse or PostToolUse hooks, this is a huge readability win. > Hooks are now available again on Windows > CTRL+O copies the last agent output. Small but clutch when you're pulling a code block into another file or chat. > New statusline option: context usage as a graphical bar instead of a percentage. Easier to glance at mid-session when you're trying to gauge how much runway you have left. > Zellij support is here with no scrollback bugs. If you've been stuck on tmux just because Codex was broken in Zellij, you're free now (shout out Felipe Coury 🦀) > Memory extensions just landed. The consolidation agent can now discover plugin folders under memories_extensions/ and read their instructions.md to learn how to interpret new memory sources. Drop a folder in, give it guidance, and the agent picks it up automatically during summarization. No core code changes needed. This is the first real extension point for Codex's memory system, and it opens the door for third-party memory plugins. > Did you know, you can /rename a thread? But what's really cool about that is, after you rename it, you can resume it with the same name, no more UUIDs. codex resume mynewapp or directly from the TUI: /resume mynewapp > Multi agents v2 got an update to tool descriptions More reliable multi agent environments and inter agent communication > You can now enable TUI notifications whether Codex is in focus or not. Modify this in your config: [tui] notification_condition = "always" > MAJOR overhaul to Codex MCP functionality: 1. Codex Tool Search now works with custom MCP servers, so tools can be searched and deferred instead of all being exposed up front. 2. Custom MCP servers can now trigger elicitations, meaning they can stop and ask for user approval or input mid-flow. 3. MCP tool results now preserve richer metadata, which improves app/UI handoff behavior. 4. Codex can now read MCP resources directly, letting apps return resource URIs that the client can actually open. 5. File params for Codex Apps are smoother: local file paths can be uploaded and remapped automatically. 6. Plugin cache refresh and fallback sync behavior are more reliable, especially for custom and curated plugins. > Composer and chat behavior smoother overall, resize bugs remain though. > Realtime v2 got several significant improvements as well. > You're still reading? What a legend. 🫶 npm i -g @openai/codex to update

Look ma new Codex Updates! 0.119.0 and 0.120.0 are here. And with it, a HUGE number of quality of life updates and bug fixes! > Hooks now render in a dedicated live area above the composer. They only persist when they have output, so your terminal stays clean. If you're running PreToolUse or PostToolUse hooks, this is a huge readability win. > Hooks are now available again on Windows > CTRL+O copies the last agent output. Small but clutch when you're pulling a code block into another file or chat. > New statusline option: context usage as a graphical bar instead of a percentage. Easier to glance at mid-session when you're trying to gauge how much runway you have left. > Zellij support is here with no scrollback bugs. If you've been stuck on tmux just because Codex was broken in Zellij, you're free now (shout out Felipe Coury 🦀) > Memory extensions just landed. The consolidation agent can now discover plugin folders under memories_extensions/ and read their instructions.md to learn how to interpret new memory sources. Drop a folder in, give it guidance, and the agent picks it up automatically during summarization. No core code changes needed. This is the first real extension point for Codex's memory system, and it opens the door for third-party memory plugins. > Did you know, you can /rename a thread? But what's really cool about that is, after you rename it, you can resume it with the same name, no more UUIDs. codex resume mynewapp or directly from the TUI: /resume mynewapp > Multi agents v2 got an update to tool descriptions More reliable multi agent environments and inter agent communication > You can now enable TUI notifications whether Codex is in focus or not. Modify this in your config: [tui] notification_condition = "always" > MAJOR overhaul to Codex MCP functionality: 1. Codex Tool Search now works with custom MCP servers, so tools can be searched and deferred instead of all being exposed up front. 2. Custom MCP servers can now trigger elicitations, meaning they can stop and ask for user approval or input mid-flow. 3. MCP tool results now preserve richer metadata, which improves app/UI handoff behavior. 4. Codex can now read MCP resources directly, letting apps return resource URIs that the client can actually open. 5. File params for Codex Apps are smoother: local file paths can be uploaded and remapped automatically. 6. Plugin cache refresh and fallback sync behavior are more reliable, especially for custom and curated plugins. > Composer and chat behavior smoother overall, resize bugs remain though. > Realtime v2 got several significant improvements as well. > You're still reading? What a legend. 🫶 npm i -g @openai/codex to update

am.will

742,455 views • 5 months ago

$FNMA $FMCC Only audio was available earlier when Donald J. Trump addressed the Fannie Mae & Freddie Mac question on Air Force One. Here's the corresponding video as well. Final statement: "I could’ve sold it in my first term for one tenth of what it’s worth now...and I didn’t wanna do it. NOW I think we...you know...we would consider an IPO, yeah. In my humble view, this is Trump‘s typical Art of War routine where he keeps everyone guessing. But the tea leaves I continue to read represent the hill I’m willing to die on. 1. Bill Ackman has met with the administration repeatedly and has publicly (and confidently) laid out his plan. He also launched his own IPO where he’s indicated that he’ll reinvest funds raised to replicate current holdings. He also just launched a Trump Accounts endorsement project with Charles Schwab. 2. The administration has been meeting repeatedly for months with attorneys and bankers to make sure all their ducks are in a row. 3. Robinhood overrode their OTC protocols last week to make an exception in adding F2 to their platform. Random? No way. Robinhood also has exclusivity as the broker and soul initial trustee for the Trump Accounts. 4. Berkshire Hathaway took an $8.5 billion position in a home building company. Bullish much? 5. A pro rate cut Fed Chair who economically aligns with Trump now presides in Warsh. 6. Capital requirements are likely to be reduced when recommendations are made next month regarding Trump's March EO on reviewing regulatory constraints. 7. Treasury Secretary Scott Bessent wants to improve the asset side of the balance sheet...and there's too much money to be made for the Sovereign Wealth Fund for Trump not to act. Timing is everything. He won’t steal Elon’s SpaceX thunder. But what better time than the country's 250th birthday to tie in an F2 public offering on the way to restoring the American Dream? It would be the production and pageantry he lives for. Just sayin'. 8. Pulte continues to say that all options are on the table & that they’re locked, loaded, & ready to go. And we're still waiting for he & Charles V Payne to "break that Fannie Mae news together ". 9. The Texas Stock Exchange is going live next month...for whatever that's worth. Cue the doubters and never gonna happeners. Troll away. Weary and fatigued shareholders...I get it. I hear you. I'm one of you. It's been a grueling ride. Do I get frustrated every time F2 is referred to as a trillion dollar company while we trade like penny stocks on pink sheets?Yes! One trillion percent! But the goaline is close. Trump isn’t gonna fumble the opportunity to solidify the crown jewel in his his legacy of restoring housing. When? Who knows. But it's coming...and it will be swift. Have a great weekend! GLTA

$FNMA $FMCC Only audio was available earlier when Donald J. Trump addressed the Fannie Mae & Freddie Mac question on Air Force One. Here's the corresponding video as well. Final statement: "I could’ve sold it in my first term for one tenth of what it’s worth now...and I didn’t wanna do it. NOW I think we...you know...we would consider an IPO, yeah. In my humble view, this is Trump‘s typical Art of War routine where he keeps everyone guessing. But the tea leaves I continue to read represent the hill I’m willing to die on. 1. Bill Ackman has met with the administration repeatedly and has publicly (and confidently) laid out his plan. He also launched his own IPO where he’s indicated that he’ll reinvest funds raised to replicate current holdings. He also just launched a Trump Accounts endorsement project with Charles Schwab. 2. The administration has been meeting repeatedly for months with attorneys and bankers to make sure all their ducks are in a row. 3. Robinhood overrode their OTC protocols last week to make an exception in adding F2 to their platform. Random? No way. Robinhood also has exclusivity as the broker and soul initial trustee for the Trump Accounts. 4. Berkshire Hathaway took an $8.5 billion position in a home building company. Bullish much? 5. A pro rate cut Fed Chair who economically aligns with Trump now presides in Warsh. 6. Capital requirements are likely to be reduced when recommendations are made next month regarding Trump's March EO on reviewing regulatory constraints. 7. Treasury Secretary Scott Bessent wants to improve the asset side of the balance sheet...and there's too much money to be made for the Sovereign Wealth Fund for Trump not to act. Timing is everything. He won’t steal Elon’s SpaceX thunder. But what better time than the country's 250th birthday to tie in an F2 public offering on the way to restoring the American Dream? It would be the production and pageantry he lives for. Just sayin'. 8. Pulte continues to say that all options are on the table & that they’re locked, loaded, & ready to go. And we're still waiting for he & Charles V Payne to "break that Fannie Mae news together ". 9. The Texas Stock Exchange is going live next month...for whatever that's worth. Cue the doubters and never gonna happeners. Troll away. Weary and fatigued shareholders...I get it. I hear you. I'm one of you. It's been a grueling ride. Do I get frustrated every time F2 is referred to as a trillion dollar company while we trade like penny stocks on pink sheets?Yes! One trillion percent! But the goaline is close. Trump isn’t gonna fumble the opportunity to solidify the crown jewel in his his legacy of restoring housing. When? Who knows. But it's coming...and it will be swift. Have a great weekend! GLTA

Horseman Country

18,052 views • 3 months ago

Do you want another ripple:native thesis on how Ripple is positioning XRP to modernize the whole financial system? Look at private credit. This is one of those markets most people never think about because it does not move like stocks, crypto, or even government bonds. A private-credit loan can be worth hundreds of millions of dollars. The borrower pays interest. The lender earns a return. The asset itself can be valuable. But there is one huge problem. It can be extremely hard to move. That is exactly what caught my attention in the Sandy Kaul and Anant Kumar discussion. Anant Kumar, from Benefit Street Partners, described the issue in a very simple way. Private credit has limited ownership. And it has almost no real secondary-market liquidity. A lender can originate a huge loan, but once that loan is sitting inside a fund, selling pieces of it is not as simple as selling a stock. That capital can stay trapped. Now imagine the same loan becoming digital. Not changing the economics of the loan. Not changing who the borrower is. Not changing who remains lender of record. Just changing how ownership can be represented. Instead of one giant $100M position sitting inside one structure, that loan could be represented as millions of smaller digital interests. Suddenly something that was hard to divide becomes divisible. Something that barely traded could potentially develop a secondary market. Something trapped inside one fund could become easier to distribute among approved investors. That is the part people should focus on. Because this is not some random idea coming from crypto Twitter. Sandy Kaul is Head of Digital Assets and Innovation at Franklin Templeton. Franklin Templeton manages roughly $1.78T. Anant Kumar is from Benefit Street Partners. And Franklin Templeton itself just closed a $1.5B Collateralized Fund Obligation tied to private equity secondaries and U.S. middle-market direct lending through Benefit Street Partners. So when they are talking about the problem of private-credit liquidity, they are talking about a market they actually operate inside. And this is where my ripple:native thesis gets much bigger. Because XRP Ledger is being built around the exact same problem. Not just payments. Not just moving stablecoins. Credit. Liquidity. Tokenized ownership. Secondary markets. Institutional lending. Collateral. That is what starts connecting everything. Private credit is already one of the largest categories inside tokenized real-world assets. Franklin Templeton’s own research says tokenized RWAs grew from around $5B in 2023 to more than $25B by early 2026. Private credit, Treasuries and real estate make up a major part of that growth. That tells me something important. Wall Street is not only tokenizing cash. It is beginning to tokenize assets that traditionally sit in some of the least liquid corners of finance. And private credit may be one of the biggest opportunities because liquidity is exactly where the pain is. Now look at XRPL. In 2025, VERT launched structured-credit infrastructure using XRP Ledger and its EVM sidechain. Its first live transaction was a BRL 700M Agribusiness Receivables Certificate. Roughly $130M. That is real structured credit. Recorded through infrastructure using XRPL. So when I hear Sandy Kaul and Anant Kumar talking about tokenizing private loans, I do not have to imagine whether XRPL could ever touch this market. It already has. That is only the beginning of the setup. The bigger piece is what Ripple is building directly into the network. The XRPL Lending Protocol. This is where everything starts making sense. Ripple has been very clear about the next stage of tokenization. Putting an asset onchain is not enough. A Treasury token sitting in a wallet is still just an asset sitting in a wallet. A private-credit token sitting in a wallet is still just a loan represented digitally. The real transformation happens when those assets can enter functioning capital markets. Borrowing. Lending. Liquidity. Collateral. Credit. That is exactly where the XRPL Lending Protocol is headed. Ripple explicitly names private credit among the assets that can move into this infrastructure, alongside Treasuries, money-market funds, stablecoins and commodities. That is a huge detail. Because private credit is not some side use case Ripple accidentally fits. It is literally one of the categories they are building around. Now add XLS-65. The Single Asset Vault design. This allows assets from multiple depositors to be pooled into one onchain vault. And that vault can hold XRP. Trust-line tokens. Or Multi-Purpose Tokens. Think about what that means in plain English. Today, one large institution may have to fund a giant private loan. Tomorrow, capital can potentially be pooled digitally. Thousands of approved investors contribute. The capital sits inside a common structure. A loan gets funded. The returns flow back through that structure. That is extremely close to what Anant Kumar is talking about when he says one loan could be split into smaller pieces. Now add XLS-66. The Lending Protocol. Fixed-term, uncollateralized lending. Credit underwriting stays offchain. The actual loan can be created and managed onchain. That detail matters more than people realize. Private credit is not anonymous DeFi. The borrower is evaluated. Creditworthiness matters. Interest matters. Terms matter. Default matters. Underwriting matters. XRPL is not trying to throw away that traditional credit process. It is trying to put the financial infrastructure around it onchain. That is why this feels much more institutional than a normal crypto lending protocol. And then you get to the liquidity problem. This is where Anant Kumar’s point becomes the whole thesis. Private-credit loans barely trade. If investors want redemptions, funds can have a problem. The assets may be good. The borrowers may be paying. But there may not be a deep market to sell into. That is trapped capital. Tokenization attacks that directly. Imagine one $100M private loan. Instead of treating it as one huge block, it becomes millions of smaller digital interests. Approved institutions can own pieces. Funds can rebalance. Banks can distribute exposure. Ownership can move without the whole loan changing hands as one giant object. Now put those interests on XRPL. They can be issued digitally. Held digitally. Transferred digitally. Settled digitally. Traded inside controlled markets. Used inside lending infrastructure. That is a completely different market structure. And XRPL is also building the control layer institutions need. Permissioned Domains. Permissioned DEXes. Credentials. Deep Freeze. Confidential Transfers. This is important because a bank is not going to take a $500M private-credit position and make it freely available to every random wallet in the world. Institutions need to control who can hold these assets. Who can trade them. Which jurisdiction they come from. Whether they satisfy eligibility rules. XRPL is being built for exactly that. You can have public blockchain infrastructure while still creating controlled markets where only approved participants transact. That solves one of the biggest objections banks have to permissionless finance. They do not need to choose between old closed systems and completely open anonymous markets. They can have digital assets with institutional rules built around them. That is where Permissioned DEXes become powerful. Imagine a tokenized private loan. Only approved investors can trade it. The loan still exists. The lender still exists. The borrower still exists. But now there is a secondary market. A fund needs liquidity? It can sell part of the position. Another institution wants exposure? It can buy a smaller piece. The market no longer depends on one giant bilateral transfer. That is how tokenization can start unlocking liquidity. And the more I look at this, the more I think ripple:native is being positioned for a much bigger role than people realize. Because every new tokenized asset creates another liquidity problem. Private credit token A. Private credit token B. Treasuries. Money-market funds. Stablecoins. Commercial paper. Tokenized deposits. Fund interests. Every asset needs somewhere to trade. Every institution needs somewhere to move value. Every market needs liquidity. You cannot have deep direct markets between every possible pair. That is where a common bridge asset becomes valuable. Private-credit token → ripple:native → RLUSD. RLUSD → ripple:native → another private-credit token. A European institution holds EUR liquidity and wants a U.S. private-credit position. EUR liquidity → ripple:native → RLUSD → tokenized credit. A fund wants to exit one credit position and move into another. Credit token A → ripple:native → RLUSD → credit token B. The more markets appear, the more possible routes exist. And the value of a common liquid bridge increases with the number of things it can connect. That is the part I think people still underestimate. ripple:native does not need every private-credit transaction to use XRP. It needs XRP to become useful wherever direct liquidity is weak. If XRPL becomes home to hundreds or thousands of tokenized credit instruments, there will always be fragmented liquidity somewhere. That is where deep XRP markets become valuable. Now add another piece that gets almost no attention. XRP itself can sit inside XLS-65 vault infrastructure. So XRP does not only have a potential role as bridge liquidity. It can also become pooled capital. That creates a completely different path. XRP goes into a vault. Vault capital gets pooled. The lending infrastructure uses that capital. Borrowers receive credit. Interest flows back through the structure. Now XRP is not just moving between markets. It is potentially sitting inside the capital base of the credit market itself. That is where the phrase “XRP utility is growing across payments, liquidity and credit markets” starts to make much more sense. Those are three completely different engines. Payments move value. Liquidity connects assets. Credit makes capital productive. Ripple is building around all three. Then you have ZILO and Licuido. Ripple invested in both to expand regulated transfer agency, tokenized issuance and collateral mobility on XRPL. That matters because a private-credit market is not just about issuing a token. Someone has to manage ownership records. Transfers. Servicing. Restrictions. Collateral. Secondary transactions. Settlement. If Ripple keeps adding these pieces, XRPL starts looking less like a blockchain with tokens on it and more like an operating system for financial assets. That is why Sandy Kaul’s broader thinking matters too. She has argued that blockchain is moving toward becoming a universal liquidity layer. Stablecoins. Tokenized cash. Lending. Collateral. Those are exactly the pieces appearing around XRPL. And I think private credit could be where this becomes impossible to ignore. Because the pain is so obvious. Imagine owning a valuable asset you cannot easily sell. That is private credit today. Imagine a fund holding billions in loans that barely trade. The assets are generating income. But if investors suddenly want cash, the fund cannot just tap a button and sell a fraction instantly. That is a huge weakness. Tokenization changes the unit of ownership. XRPL changes the infrastructure around that ownership. Permissioned markets change who can trade it. Lending turns those assets into productive capital. ripple:native can connect the liquidity between everything. That is the full setup. And now take it to the bullish extreme. Imagine private-credit managers start tokenizing at scale. A $500M fund does not hold 50 giant, isolated loan positions anymore. Each one becomes digitally represented. A $100M loan becomes 100M digital units worth $1 each. Approved investors can own smaller pieces. Funds can rebalance positions instead of selling whole loans. Banks can distribute exposure. Family offices can participate. Institutions can move capital without waiting for one buyer willing to absorb the entire block. Now imagine those assets living on XRPL. A fund wants to raise liquidity. It sells tokenized interests through a Permissioned DEX. Another approved institution takes the other side. Settlement happens digitally. RLUSD provides the dollar liquidity. XRP can bridge where direct liquidity is thin. The fund gets cash. The buyer gets credit exposure. The loan keeps performing. Nothing has to be dismantled. That is a much more efficient market. Then lending infrastructure goes live. An institution holds $200M of tokenized private credit. It does not want to sell. It wants liquidity. Instead of exiting the position, it uses that asset inside XRPL credit infrastructure. Capital gets unlocked. The institution receives liquidity. Moves into RLUSD. Then routes part of that capital through XRP into EUR. Now look at what XRP is sitting between. Private credit. Stablecoin liquidity. FX. Lending. Collateral. Global settlement. That is not a small use case. Now scale it. $100B of private credit on XRPL. Then $500B. Then $1T. Thousands of tokenized loans. Thousands of institutions. Loans constantly being issued. Traded. Financed. Pledged. Refinanced. Settled. Each new asset adds another market. Each new market needs liquidity. Each new participant creates another flow. And a common liquid bridge becomes more valuable as the network gets more complex. That is where ripple:native can become institutional credit-market liquidity. Not just a payment token. Not just a crypto trade. Liquidity sitting underneath a digital credit economy. And if that starts happening at hundreds of billions or trillions in scale, the XRP price conversation changes too. Market makers need inventory. Liquidity providers need inventory. Vaults can hold XRP. More XRP gets deployed inside financial infrastructure. The amount of financial value XRP markets have to support gets larger. If XRP is worth $1, $1B of XRP liquidity requires 1B XRP. At $10, it takes 100M. At $100, 10M. The higher the value of XRP, the more dollar liquidity each unit can represent. So if XRPL ever becomes a serious home for institutional private credit, the market may eventually have to price XRP around a completely different economic role. That is the thesis I keep coming back to. Sandy Kaul is talking about tokenizing private credit. Anant Kumar is talking about solving access and liquidity. Benefit Street Partners is operating directly in that market. Franklin Templeton is already deep in private markets. VERT has already put real structured-credit activity onto XRPL infrastructure. Ripple is building the Lending Protocol. XLS-65 can pool capital. XLS-66 can create fixed-term credit. Permissioned DEXes can create controlled secondary markets. Credentials can control eligibility. ZILO and Licuido expand issuance and collateral mobility. And ripple:native sits inside the liquidity and credit architecture. These are not separate stories to me anymore. They are all pieces of the same direction. Credit becomes digital. Digital credit becomes easier to divide. Divided credit becomes easier to trade. Tradable credit needs liquidity. Liquidity needs infrastructure. XRPL is being built for that infrastructure. And ripple:native can become part of the capital moving underneath it. That is why I think this private-credit conversation is one of the most underrated ripple:native theses right now. The endgame is not simply banks sending XRP across borders. The endgame could be XRP sitting inside a financial system where trillions of dollars of loans, Treasuries, stablecoins, funds and collateral move through the same liquidity network. That is a much bigger market than payments alone. And if Ripple gets this right, private credit may end up being one of the places where the world finally understands what they have been building. Remember this thesis when private credit starts moving onchain. If you understand where private credit is heading, you understand why I’m watching ripple:native.

Do you want another ripple:native thesis on how Ripple is positioning XRP to modernize the whole financial system? Look at private credit. This is one of those markets most people never think about because it does not move like stocks, crypto, or even government bonds. A private-credit loan can be worth hundreds of millions of dollars. The borrower pays interest. The lender earns a return. The asset itself can be valuable. But there is one huge problem. It can be extremely hard to move. That is exactly what caught my attention in the Sandy Kaul and Anant Kumar discussion. Anant Kumar, from Benefit Street Partners, described the issue in a very simple way. Private credit has limited ownership. And it has almost no real secondary-market liquidity. A lender can originate a huge loan, but once that loan is sitting inside a fund, selling pieces of it is not as simple as selling a stock. That capital can stay trapped. Now imagine the same loan becoming digital. Not changing the economics of the loan. Not changing who the borrower is. Not changing who remains lender of record. Just changing how ownership can be represented. Instead of one giant $100M position sitting inside one structure, that loan could be represented as millions of smaller digital interests. Suddenly something that was hard to divide becomes divisible. Something that barely traded could potentially develop a secondary market. Something trapped inside one fund could become easier to distribute among approved investors. That is the part people should focus on. Because this is not some random idea coming from crypto Twitter. Sandy Kaul is Head of Digital Assets and Innovation at Franklin Templeton. Franklin Templeton manages roughly $1.78T. Anant Kumar is from Benefit Street Partners. And Franklin Templeton itself just closed a $1.5B Collateralized Fund Obligation tied to private equity secondaries and U.S. middle-market direct lending through Benefit Street Partners. So when they are talking about the problem of private-credit liquidity, they are talking about a market they actually operate inside. And this is where my ripple:native thesis gets much bigger. Because XRP Ledger is being built around the exact same problem. Not just payments. Not just moving stablecoins. Credit. Liquidity. Tokenized ownership. Secondary markets. Institutional lending. Collateral. That is what starts connecting everything. Private credit is already one of the largest categories inside tokenized real-world assets. Franklin Templeton’s own research says tokenized RWAs grew from around $5B in 2023 to more than $25B by early 2026. Private credit, Treasuries and real estate make up a major part of that growth. That tells me something important. Wall Street is not only tokenizing cash. It is beginning to tokenize assets that traditionally sit in some of the least liquid corners of finance. And private credit may be one of the biggest opportunities because liquidity is exactly where the pain is. Now look at XRPL. In 2025, VERT launched structured-credit infrastructure using XRP Ledger and its EVM sidechain. Its first live transaction was a BRL 700M Agribusiness Receivables Certificate. Roughly $130M. That is real structured credit. Recorded through infrastructure using XRPL. So when I hear Sandy Kaul and Anant Kumar talking about tokenizing private loans, I do not have to imagine whether XRPL could ever touch this market. It already has. That is only the beginning of the setup. The bigger piece is what Ripple is building directly into the network. The XRPL Lending Protocol. This is where everything starts making sense. Ripple has been very clear about the next stage of tokenization. Putting an asset onchain is not enough. A Treasury token sitting in a wallet is still just an asset sitting in a wallet. A private-credit token sitting in a wallet is still just a loan represented digitally. The real transformation happens when those assets can enter functioning capital markets. Borrowing. Lending. Liquidity. Collateral. Credit. That is exactly where the XRPL Lending Protocol is headed. Ripple explicitly names private credit among the assets that can move into this infrastructure, alongside Treasuries, money-market funds, stablecoins and commodities. That is a huge detail. Because private credit is not some side use case Ripple accidentally fits. It is literally one of the categories they are building around. Now add XLS-65. The Single Asset Vault design. This allows assets from multiple depositors to be pooled into one onchain vault. And that vault can hold XRP. Trust-line tokens. Or Multi-Purpose Tokens. Think about what that means in plain English. Today, one large institution may have to fund a giant private loan. Tomorrow, capital can potentially be pooled digitally. Thousands of approved investors contribute. The capital sits inside a common structure. A loan gets funded. The returns flow back through that structure. That is extremely close to what Anant Kumar is talking about when he says one loan could be split into smaller pieces. Now add XLS-66. The Lending Protocol. Fixed-term, uncollateralized lending. Credit underwriting stays offchain. The actual loan can be created and managed onchain. That detail matters more than people realize. Private credit is not anonymous DeFi. The borrower is evaluated. Creditworthiness matters. Interest matters. Terms matter. Default matters. Underwriting matters. XRPL is not trying to throw away that traditional credit process. It is trying to put the financial infrastructure around it onchain. That is why this feels much more institutional than a normal crypto lending protocol. And then you get to the liquidity problem. This is where Anant Kumar’s point becomes the whole thesis. Private-credit loans barely trade. If investors want redemptions, funds can have a problem. The assets may be good. The borrowers may be paying. But there may not be a deep market to sell into. That is trapped capital. Tokenization attacks that directly. Imagine one $100M private loan. Instead of treating it as one huge block, it becomes millions of smaller digital interests. Approved institutions can own pieces. Funds can rebalance. Banks can distribute exposure. Ownership can move without the whole loan changing hands as one giant object. Now put those interests on XRPL. They can be issued digitally. Held digitally. Transferred digitally. Settled digitally. Traded inside controlled markets. Used inside lending infrastructure. That is a completely different market structure. And XRPL is also building the control layer institutions need. Permissioned Domains. Permissioned DEXes. Credentials. Deep Freeze. Confidential Transfers. This is important because a bank is not going to take a $500M private-credit position and make it freely available to every random wallet in the world. Institutions need to control who can hold these assets. Who can trade them. Which jurisdiction they come from. Whether they satisfy eligibility rules. XRPL is being built for exactly that. You can have public blockchain infrastructure while still creating controlled markets where only approved participants transact. That solves one of the biggest objections banks have to permissionless finance. They do not need to choose between old closed systems and completely open anonymous markets. They can have digital assets with institutional rules built around them. That is where Permissioned DEXes become powerful. Imagine a tokenized private loan. Only approved investors can trade it. The loan still exists. The lender still exists. The borrower still exists. But now there is a secondary market. A fund needs liquidity? It can sell part of the position. Another institution wants exposure? It can buy a smaller piece. The market no longer depends on one giant bilateral transfer. That is how tokenization can start unlocking liquidity. And the more I look at this, the more I think ripple:native is being positioned for a much bigger role than people realize. Because every new tokenized asset creates another liquidity problem. Private credit token A. Private credit token B. Treasuries. Money-market funds. Stablecoins. Commercial paper. Tokenized deposits. Fund interests. Every asset needs somewhere to trade. Every institution needs somewhere to move value. Every market needs liquidity. You cannot have deep direct markets between every possible pair. That is where a common bridge asset becomes valuable. Private-credit token → ripple:native → RLUSD. RLUSD → ripple:native → another private-credit token. A European institution holds EUR liquidity and wants a U.S. private-credit position. EUR liquidity → ripple:native → RLUSD → tokenized credit. A fund wants to exit one credit position and move into another. Credit token A → ripple:native → RLUSD → credit token B. The more markets appear, the more possible routes exist. And the value of a common liquid bridge increases with the number of things it can connect. That is the part I think people still underestimate. ripple:native does not need every private-credit transaction to use XRP. It needs XRP to become useful wherever direct liquidity is weak. If XRPL becomes home to hundreds or thousands of tokenized credit instruments, there will always be fragmented liquidity somewhere. That is where deep XRP markets become valuable. Now add another piece that gets almost no attention. XRP itself can sit inside XLS-65 vault infrastructure. So XRP does not only have a potential role as bridge liquidity. It can also become pooled capital. That creates a completely different path. XRP goes into a vault. Vault capital gets pooled. The lending infrastructure uses that capital. Borrowers receive credit. Interest flows back through the structure. Now XRP is not just moving between markets. It is potentially sitting inside the capital base of the credit market itself. That is where the phrase “XRP utility is growing across payments, liquidity and credit markets” starts to make much more sense. Those are three completely different engines. Payments move value. Liquidity connects assets. Credit makes capital productive. Ripple is building around all three. Then you have ZILO and Licuido. Ripple invested in both to expand regulated transfer agency, tokenized issuance and collateral mobility on XRPL. That matters because a private-credit market is not just about issuing a token. Someone has to manage ownership records. Transfers. Servicing. Restrictions. Collateral. Secondary transactions. Settlement. If Ripple keeps adding these pieces, XRPL starts looking less like a blockchain with tokens on it and more like an operating system for financial assets. That is why Sandy Kaul’s broader thinking matters too. She has argued that blockchain is moving toward becoming a universal liquidity layer. Stablecoins. Tokenized cash. Lending. Collateral. Those are exactly the pieces appearing around XRPL. And I think private credit could be where this becomes impossible to ignore. Because the pain is so obvious. Imagine owning a valuable asset you cannot easily sell. That is private credit today. Imagine a fund holding billions in loans that barely trade. The assets are generating income. But if investors suddenly want cash, the fund cannot just tap a button and sell a fraction instantly. That is a huge weakness. Tokenization changes the unit of ownership. XRPL changes the infrastructure around that ownership. Permissioned markets change who can trade it. Lending turns those assets into productive capital. ripple:native can connect the liquidity between everything. That is the full setup. And now take it to the bullish extreme. Imagine private-credit managers start tokenizing at scale. A $500M fund does not hold 50 giant, isolated loan positions anymore. Each one becomes digitally represented. A $100M loan becomes 100M digital units worth $1 each. Approved investors can own smaller pieces. Funds can rebalance positions instead of selling whole loans. Banks can distribute exposure. Family offices can participate. Institutions can move capital without waiting for one buyer willing to absorb the entire block. Now imagine those assets living on XRPL. A fund wants to raise liquidity. It sells tokenized interests through a Permissioned DEX. Another approved institution takes the other side. Settlement happens digitally. RLUSD provides the dollar liquidity. XRP can bridge where direct liquidity is thin. The fund gets cash. The buyer gets credit exposure. The loan keeps performing. Nothing has to be dismantled. That is a much more efficient market. Then lending infrastructure goes live. An institution holds $200M of tokenized private credit. It does not want to sell. It wants liquidity. Instead of exiting the position, it uses that asset inside XRPL credit infrastructure. Capital gets unlocked. The institution receives liquidity. Moves into RLUSD. Then routes part of that capital through XRP into EUR. Now look at what XRP is sitting between. Private credit. Stablecoin liquidity. FX. Lending. Collateral. Global settlement. That is not a small use case. Now scale it. $100B of private credit on XRPL. Then $500B. Then $1T. Thousands of tokenized loans. Thousands of institutions. Loans constantly being issued. Traded. Financed. Pledged. Refinanced. Settled. Each new asset adds another market. Each new market needs liquidity. Each new participant creates another flow. And a common liquid bridge becomes more valuable as the network gets more complex. That is where ripple:native can become institutional credit-market liquidity. Not just a payment token. Not just a crypto trade. Liquidity sitting underneath a digital credit economy. And if that starts happening at hundreds of billions or trillions in scale, the XRP price conversation changes too. Market makers need inventory. Liquidity providers need inventory. Vaults can hold XRP. More XRP gets deployed inside financial infrastructure. The amount of financial value XRP markets have to support gets larger. If XRP is worth $1, $1B of XRP liquidity requires 1B XRP. At $10, it takes 100M. At $100, 10M. The higher the value of XRP, the more dollar liquidity each unit can represent. So if XRPL ever becomes a serious home for institutional private credit, the market may eventually have to price XRP around a completely different economic role. That is the thesis I keep coming back to. Sandy Kaul is talking about tokenizing private credit. Anant Kumar is talking about solving access and liquidity. Benefit Street Partners is operating directly in that market. Franklin Templeton is already deep in private markets. VERT has already put real structured-credit activity onto XRPL infrastructure. Ripple is building the Lending Protocol. XLS-65 can pool capital. XLS-66 can create fixed-term credit. Permissioned DEXes can create controlled secondary markets. Credentials can control eligibility. ZILO and Licuido expand issuance and collateral mobility. And ripple:native sits inside the liquidity and credit architecture. These are not separate stories to me anymore. They are all pieces of the same direction. Credit becomes digital. Digital credit becomes easier to divide. Divided credit becomes easier to trade. Tradable credit needs liquidity. Liquidity needs infrastructure. XRPL is being built for that infrastructure. And ripple:native can become part of the capital moving underneath it. That is why I think this private-credit conversation is one of the most underrated ripple:native theses right now. The endgame is not simply banks sending XRP across borders. The endgame could be XRP sitting inside a financial system where trillions of dollars of loans, Treasuries, stablecoins, funds and collateral move through the same liquidity network. That is a much bigger market than payments alone. And if Ripple gets this right, private credit may end up being one of the places where the world finally understands what they have been building. Remember this thesis when private credit starts moving onchain. If you understand where private credit is heading, you understand why I’m watching ripple:native.

X Finance Bull

16,025 views • 6 days ago

BONKERCLIPS OFFICIAL RELEASE ❗️❗️❗️ After weeks of sharpening the blade, countless hours of practicing the Shomen-uch (the art of katana movement) the Bonker community is pleased to announce that our Bonkerclips 1v1 wager platform is complete and ready for public release THE ONLY OFFICIAL LINK: You can now battle for $SOL in the modern duel arena where true strategists will be tested for the patience and ability to not crash out The Game/ Rules: -Our first game on the platform is a connect-4 like game in which the person to connect 4 tiles in a row wins; in the case of a draw - it will be the one with the most amount of consecutive 3 in a row’s Registration: -The platform does not have wallet connection, but rather a SOL deposit address associated to an email and password you sign up with; you can use a fake one just remember the password otherwise you won’t be able to recover it *During the registration you will see a field for Solana Address, this will be your withdrawal address Leaderboard -Once you sign up, in the top right corner dropdown menu you will see a leaderboard with all the people who have registered Win = 5 points Draw/Loss = 2 points -Weekly we will be giving away $bonker rewards to the top ’10’ positions as we’ve done with our raids in the telegram Burn Mechanism: -Each game will have a 2.5% fee 50% towards $bonker burn 50% towards $BONK burn *We are already looking to involve other letsBONK communities in this in a sort of clan wars setting which can alter the burn contributions for new communities for a specific amount of time Ex: Majority of top 10 are from $HOSICO community, so that week we can burn their token if they are the winning clan Next Steps: -Multi-player games to make clan wars even more of a bonding experience for Lets Bonk communities; play side by side with friends -Tg integration which will allow you to add the Bonkerclips bot into your group and summon commands such as (/play Kadense Pengu°❗️❗️❗️ .2 Sol) with PNL cards being forwarded into the group chats for the members to have a laugh (PVP/ dickgrowbot inspired) -Referral links with SOL payouts Support Tickets: If you encounter any issues just go into our telegram below and speak to any mod to get everything sorted, we will have 24/7 support in there Special Thanks to everyone who made this vision a reality, from all of the community members who helped me every night for weeks to improve the platform and have everything that WE wanted to see in this platform I hope everyone could support us in our mission to become one of the greatest cto’s from letsBONK Being one of the longest running cto’s (8 weeks) and releasing utility while trying to involve EVERYONE in the $BONK eco is what this whole PVE vision is about FYI 73,801,795.46 of $bonker has been burned (7.3%) PRIOR to the release of the platform, I will use this number for reference moving forward with our burns $bonker out CmJWm7B9JrqA5145bCqXMzVDbGfdhaJfVCt474Sebonk

BONKERCLIPS OFFICIAL RELEASE ❗️❗️❗️ After weeks of sharpening the blade, countless hours of practicing the Shomen-uch (the art of katana movement) the Bonker community is pleased to announce that our Bonkerclips 1v1 wager platform is complete and ready for public release THE ONLY OFFICIAL LINK: You can now battle for $SOL in the modern duel arena where true strategists will be tested for the patience and ability to not crash out The Game/ Rules: -Our first game on the platform is a connect-4 like game in which the person to connect 4 tiles in a row wins; in the case of a draw - it will be the one with the most amount of consecutive 3 in a row’s Registration: -The platform does not have wallet connection, but rather a SOL deposit address associated to an email and password you sign up with; you can use a fake one just remember the password otherwise you won’t be able to recover it During the registration you will see a field for Solana Address, this will be your withdrawal address Leaderboard -Once you sign up, in the top right corner dropdown menu you will see a leaderboard with all the people who have registered Win = 5 points Draw/Loss = 2 points -Weekly we will be giving away $bonker rewards to the top ’10’ positions as we’ve done with our raids in the telegram Burn Mechanism: -Each game will have a 2.5% fee 50% towards $bonker burn 50% towards $BONK burn We are already looking to involve other letsBONK communities in this in a sort of clan wars setting which can alter the burn contributions for new communities for a specific amount of time Ex: Majority of top 10 are from $HOSICO community, so that week we can burn their token if they are the winning clan Next Steps: -Multi-player games to make clan wars even more of a bonding experience for Lets Bonk communities; play side by side with friends -Tg integration which will allow you to add the Bonkerclips bot into your group and summon commands such as (/play Kadense Pengu°❗️❗️❗️ .2 Sol) with PNL cards being forwarded into the group chats for the members to have a laugh (PVP/ dickgrowbot inspired) -Referral links with SOL payouts Support Tickets: If you encounter any issues just go into our telegram below and speak to any mod to get everything sorted, we will have 24/7 support in there Special Thanks to everyone who made this vision a reality, from all of the community members who helped me every night for weeks to improve the platform and have everything that WE wanted to see in this platform I hope everyone could support us in our mission to become one of the greatest cto’s from letsBONK Being one of the longest running cto’s (8 weeks) and releasing utility while trying to involve EVERYONE in the $BONK eco is what this whole PVE vision is about FYI 73,801,795.46 of $bonker has been burned (7.3%) PRIOR to the release of the platform, I will use this number for reference moving forward with our burns $bonker out CmJWm7B9JrqA5145bCqXMzVDbGfdhaJfVCt474Sebonk

Yolo

13,302 views • 1 year ago