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V1 update for 🚀 – Expo SDK 55, Router v7, Widgets – SwiftUI view refactor (real native feel) – PostHog analytics – Superwall integration Cleaner architecture. Stronger native layer. More scalable foundation.

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Rayan

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24,842 次观看 • 5 个月前 •via X (Twitter)

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Expo Router just unlocked a new level of native on iOS 🚀 For years, cross-platform meant tradeoffs. Your app worked everywhere, but it never felt quite right. That gap is finally closing. With the latest version of Expo Router, native iOS APIs are now exposed declaratively. No UIKit wrestling. No fake UI. If you want your app to feel truly native on iOS, these are the APIs you should be using: - Native Tabs (real system tab bar) - Stack Toolbar (native header controls) - Bottom toolbars with placement=“bottom” - Bottom accessories attached to the tab bar - Zoom transitions for fluid navigation - Native sheet footers (experimental) I wrote a full breakdown with code examples and video demos of these features in my blog (link below 👇)
0:52

Expo Router just unlocked a new level of native on iOS 🚀 For years, cross-platform meant tradeoffs. Your app worked everywhere, but it never felt quite right. That gap is finally closing. With the latest version of Expo Router, native iOS APIs are now exposed declaratively. No UIKit wrestling. No fake UI. If you want your app to feel truly native on iOS, these are the APIs you should be using: - Native Tabs (real system tab bar) - Stack Toolbar (native header controls) - Bottom toolbars with placement=“bottom” - Bottom accessories attached to the tab bar - Zoom transitions for fluid navigation - Native sheet footers (experimental) I wrote a full breakdown with code examples and video demos of these features in my blog (link below 👇)

Beto

91,425 次观看 • 5 个月前

Announcing RevenueCharts 🙀 100% FREE subscription analytics with an open source commitment in 2025. No SDK needed, although it is recommended (see replies). Let us explain 👇 At Superwall, we spent the last few months building infrastructure for subscription analytics, revenue charts, and webhooks. At first, we expected to sell this the same way others do, but then we realized something... The real innovation here is a transform layer that standardizes subscriber lifecycle events to an interoperable schema, and the real value here is managed infrastructure that supports a long tail of integrations. All this points to open source as the optimal solution. Developers will have the opportunity to leverage the evolving simplicity of native StoreKit, Google Billing and Stripe APIs without vendor lock-in, while the community adds support for integrations on an ad-hoc basis. We've already built the transform, infrastructure and UI layers which are available in Superwall's dashboard today. The second thing we realized is we're uniquely positioned to offer this for FREE. Already ingesting app events for billions of users per month, the incremental costs of handling subscription events are marginal. Revenue Charts are in public beta. All existing Superwall customers gained access last Friday, and new customers can sign up today. If all you're after are charts & subscription analytics, you can set up Revenue Tracking by forwarding ASC events to Superwall for free. If you add our SDK, we'll tie provided App User Ids to webhook and integration events in the future. We'll only ever charge customers who use Superwall for paywalls. Available today: Revenue, Proceeds, Refunds, Trial and Subscriber analytics, for iOS only. Coming Soon: Android, Stripe, Webhooks, Integrations, ARR, MRR, LTV, Retention & every other chart you ReallyCare about... but free.
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Announcing RevenueCharts 🙀 100% FREE subscription analytics with an open source commitment in 2025. No SDK needed, although it is recommended (see replies). Let us explain 👇 At Superwall, we spent the last few months building infrastructure for subscription analytics, revenue charts, and webhooks. At first, we expected to sell this the same way others do, but then we realized something... The real innovation here is a transform layer that standardizes subscriber lifecycle events to an interoperable schema, and the real value here is managed infrastructure that supports a long tail of integrations. All this points to open source as the optimal solution. Developers will have the opportunity to leverage the evolving simplicity of native StoreKit, Google Billing and Stripe APIs without vendor lock-in, while the community adds support for integrations on an ad-hoc basis. We've already built the transform, infrastructure and UI layers which are available in Superwall's dashboard today. The second thing we realized is we're uniquely positioned to offer this for FREE. Already ingesting app events for billions of users per month, the incremental costs of handling subscription events are marginal. Revenue Charts are in public beta. All existing Superwall customers gained access last Friday, and new customers can sign up today. If all you're after are charts & subscription analytics, you can set up Revenue Tracking by forwarding ASC events to Superwall for free. If you add our SDK, we'll tie provided App User Ids to webhook and integration events in the future. We'll only ever charge customers who use Superwall for paywalls. Available today: Revenue, Proceeds, Refunds, Trial and Subscriber analytics, for iOS only. Coming Soon: Android, Stripe, Webhooks, Integrations, ARR, MRR, LTV, Retention & every other chart you ReallyCare about... but free.

Superwall

961,172 次观看 • 1 年前

Split layout framework update. Since the last video: focus views animate, corner drags can move both axes, cross-window drag and drop with animation, all animations backed by CoreAnimation, and full accessibility framework integration (e.g. compat with VoiceOver). The focus view work was the hardest and most complicated. We allow caller-provided SwiftUI views for the focus style, but have to drop that back to a native AppKit/UIKit hosted view for smooth CoreAnimation integration with our other animations so they move in lock-step with our other stuff. Lot of work to get that to work, but I think it turned out great. The caller lives in easy SwiftUI land we handle that complexity. The animation timings and curves need to be tweaked. I think some animations are too long or don't feel right. But thats just parameterization at this point...
0:23

Split layout framework update. Since the last video: focus views animate, corner drags can move both axes, cross-window drag and drop with animation, all animations backed by CoreAnimation, and full accessibility framework integration (e.g. compat with VoiceOver). The focus view work was the hardest and most complicated. We allow caller-provided SwiftUI views for the focus style, but have to drop that back to a native AppKit/UIKit hosted view for smooth CoreAnimation integration with our other animations so they move in lock-step with our other stuff. Lot of work to get that to work, but I think it turned out great. The caller lives in easy SwiftUI land we handle that complexity. The animation timings and curves need to be tweaked. I think some animations are too long or don't feel right. But thats just parameterization at this point...

Mitchell Hashimoto

103,746 次观看 • 1 个月前

Every week another AI image app hits the top charts. The window is open, but not forever. That's why I built Platano. Today it's production ready. What's inside: - Expo SDK 56 - Agent skills for setup, rebranding, adding languages, and more - Fully native iOS and Android - Material You on Android, Liquid Glass with iOS 18 fallbacks - Onboarding flow battle-tested in my AI Tattoo app (live in the App Store) - RevenueCat payments - AI editor with Nano Banana 2 - Clean architecture your agent can extend - Interactive CLI to spin it up I use this as the base for every real app I'm building now, not just AI image apps. Ship something maintainable. Validate fast. (link below)
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Every week another AI image app hits the top charts. The window is open, but not forever. That's why I built Platano. Today it's production ready. What's inside: - Expo SDK 56 - Agent skills for setup, rebranding, adding languages, and more - Fully native iOS and Android - Material You on Android, Liquid Glass with iOS 18 fallbacks - Onboarding flow battle-tested in my AI Tattoo app (live in the App Store) - RevenueCat payments - AI editor with Nano Banana 2 - Clean architecture your agent can extend - Interactive CLI to spin it up I use this as the base for every real app I'm building now, not just AI image apps. Ship something maintainable. Validate fast. (link below)

Beto

11,477 次观看 • 2 个月前

Introducing Arc, an open Layer-1 blockchain purpose-built for stablecoin finance. From payments to FX to capital markets, Arc is the home for builders innovating with digital money and tokenized value on the internet. Stablecoins have shown us what’s possible. They’ve powered trillions in onchain transactions and unlocked a faster, more open financial system. Arc is designed to provide an enterprise-grade foundation with the performance, reliability, and liquidity needed to scale stablecoin use cases worldwide. Featuring: ✅ USDC as native gas ✅ Built-in FX engine ✅ Deterministic sub-second finality ✅ Opt-in privacy ✅ Full Circle platform integration At its core is Malachite, a high-performance consensus engine developed by Informal Systems that powers Arc with safety, liveness, and resilience at scale. Arc expands the design space for stablecoins by uniting speed with certainty and delivering the native tooling needed to meet real-world business obligations. Open and composable, Arc is designed to interoperate seamlessly with the broader multichain ecosystem. Fully EVM-compatible, developers will be able to build on Arc using the same frameworks and tooling they know and trust. Together, we’re laying the foundation to move stablecoin finance from early adoption to globally trusted infrastructure. Arc will enter private testnet in the coming weeks, with public testnet expected this fall. Read the litepaper → Join us in building the new internet financial system →
2:50

Introducing Arc, an open Layer-1 blockchain purpose-built for stablecoin finance. From payments to FX to capital markets, Arc is the home for builders innovating with digital money and tokenized value on the internet. Stablecoins have shown us what’s possible. They’ve powered trillions in onchain transactions and unlocked a faster, more open financial system. Arc is designed to provide an enterprise-grade foundation with the performance, reliability, and liquidity needed to scale stablecoin use cases worldwide. Featuring: ✅ USDC as native gas ✅ Built-in FX engine ✅ Deterministic sub-second finality ✅ Opt-in privacy ✅ Full Circle platform integration At its core is Malachite, a high-performance consensus engine developed by Informal Systems that powers Arc with safety, liveness, and resilience at scale. Arc expands the design space for stablecoins by uniting speed with certainty and delivering the native tooling needed to meet real-world business obligations. Open and composable, Arc is designed to interoperate seamlessly with the broader multichain ecosystem. Fully EVM-compatible, developers will be able to build on Arc using the same frameworks and tooling they know and trust. Together, we’re laying the foundation to move stablecoin finance from early adoption to globally trusted infrastructure. Arc will enter private testnet in the coming weeks, with public testnet expected this fall. Read the litepaper → Join us in building the new internet financial system →

Arc

773,086 次观看 • 11 个月前

QVAC SDK 0.15.0 is live. This release adds multiple prompts batching, brings a native AMD GPU backend to the stack, moves more vision encoders onto mobile GPUs, and adds a second local coding-agent integration. Main highlights: - Prompt batching for the LLM addon. Batch multiple prompts into one job and process them concurrently, with each answer returned the moment its generation finishes. - Native AMD GPU backend. A first-class HIP/ROCm backend in @qvac/vla-ggml, auto-selected over Vulkan with clean fallback when ROCm is absent. - A second local coding agent. OpenClaw joins OpenCode for local, cloud-free agent workflows. AGENTS - OpenCode plugin update (@qvac/opencode-plugin). Aligned with the current SDK, CLI, and AI SDK provider packages. A fresh install runs OpenCode against managed local QVAC models out of the box, from the default qvac/qwen3.5-9b, with no manual qvac serve setup. - OpenClaw plugin (@qvac/openclaw-plugin). A second coding-agent integration alongside OpenCode. A fresh setup installs the plugin, creates a local qvac provider through onboarding, and runs a QVAC model through OpenClaw🦞's local service path. LANGUAGE MODELS - Prompt batching (LLM addon). Batch multiple prompts in one job and run them concurrently, each answer returns the moment its generation finishes, no waiting on the others. - Reasoning-context trimming on hybrid + recurrent models (@qvac/llm-llamacpp). remove_thinking_from_context now works beyond pure-attention models. Same JS API, no throw. VOICE AND SPEECH - Transcription (transcription-parakeet 0.9.0). More robust CPU fallback on GPU failure and a faster Vulkan backend on Pixel 9. - Text-to-speech features (tts-ggml 0.4.0). Adds LavaSR for noise removal and adjustable output frequency up to 48 kHz, plus Japanese via Chatterbox. - Text-to-speech fixes (tts-ggml 0.4.1). CPU fallback on GPU failure, a q8_0 KV crash fix on Metal with Chatterbox. VISION - Qwen3.5 vision encoder on GPU (Android). Image encoder moves onto the phone GPU, with a smarter tile-grid preprocessor and default image-token caps, for flagship Android: Vulkan on Mali (Pixel 9 Pro) and OpenCL on Adreno 830 (Galaxy S25). - Gemma-4 vision encoder on GPU (Android). Vision encoder runs on the phone GPU instead of CPU, same flagship Android targets. PLATFORM AND PERFORMANCE - AMD GPU backend (@qvac/vla-ggml). Native HIP/ROCm backend, auto-selected over Vulkan with clean fallback when ROCm is absent (Linux x64 only). Comes with ~23% faster than Vulkan, ~14% faster than PyTorch-ROCm, parity preserved. Unified code style. A cleaner, more consistent, easier-to-contribute codebase. Let's build. npm install @qvac/sdk
1:25

QVAC SDK 0.15.0 is live. This release adds multiple prompts batching, brings a native AMD GPU backend to the stack, moves more vision encoders onto mobile GPUs, and adds a second local coding-agent integration. Main highlights: - Prompt batching for the LLM addon. Batch multiple prompts into one job and process them concurrently, with each answer returned the moment its generation finishes. - Native AMD GPU backend. A first-class HIP/ROCm backend in @qvac/vla-ggml, auto-selected over Vulkan with clean fallback when ROCm is absent. - A second local coding agent. OpenClaw joins OpenCode for local, cloud-free agent workflows. AGENTS - OpenCode plugin update (@qvac/opencode-plugin). Aligned with the current SDK, CLI, and AI SDK provider packages. A fresh install runs OpenCode against managed local QVAC models out of the box, from the default qvac/qwen3.5-9b, with no manual qvac serve setup. - OpenClaw plugin (@qvac/openclaw-plugin). A second coding-agent integration alongside OpenCode. A fresh setup installs the plugin, creates a local qvac provider through onboarding, and runs a QVAC model through OpenClaw🦞's local service path. LANGUAGE MODELS - Prompt batching (LLM addon). Batch multiple prompts in one job and run them concurrently, each answer returns the moment its generation finishes, no waiting on the others. - Reasoning-context trimming on hybrid + recurrent models (@qvac/llm-llamacpp). remove_thinking_from_context now works beyond pure-attention models. Same JS API, no throw. VOICE AND SPEECH - Transcription (transcription-parakeet 0.9.0). More robust CPU fallback on GPU failure and a faster Vulkan backend on Pixel 9. - Text-to-speech features (tts-ggml 0.4.0). Adds LavaSR for noise removal and adjustable output frequency up to 48 kHz, plus Japanese via Chatterbox. - Text-to-speech fixes (tts-ggml 0.4.1). CPU fallback on GPU failure, a q8_0 KV crash fix on Metal with Chatterbox. VISION - Qwen3.5 vision encoder on GPU (Android). Image encoder moves onto the phone GPU, with a smarter tile-grid preprocessor and default image-token caps, for flagship Android: Vulkan on Mali (Pixel 9 Pro) and OpenCL on Adreno 830 (Galaxy S25). - Gemma-4 vision encoder on GPU (Android). Vision encoder runs on the phone GPU instead of CPU, same flagship Android targets. PLATFORM AND PERFORMANCE - AMD GPU backend (@qvac/vla-ggml). Native HIP/ROCm backend, auto-selected over Vulkan with clean fallback when ROCm is absent (Linux x64 only). Comes with ~23% faster than Vulkan, ~14% faster than PyTorch-ROCm, parity preserved. Unified code style. A cleaner, more consistent, easier-to-contribute codebase. Let's build. npm install @qvac/sdk

QVAC

29,255,860 次观看 • 21 天前

🚀Announcing v2.4 of GeroWallet – now rebranded as Gero Dashboard! Submitted to the Chrome Store and going live in a few days. This update is free for thousands of users, with seamless migration of your wallets & private keys. Enjoy features that were once beta-exclusive: • Cashback – Pay with any credit card online & unlock crypto rewards • Governance – Delegate to DReps & engage in Cardano’s decentralized decisions • Cardano Shield – Advanced phishing defense using ML & community insights • Swap – Seamlessly exchange between Cardano native tokens • Wallet Analytics – Visualize your tokens & NFTs with detailed insights And now, support for Apex Fusion: Create, import & stake your AP3X tokens with our own stake pool. Coming soon, we’re working on: • Bank Integration • Multi-Sig Transactions • Social Login • zkFiat & Off-Ramp Reporting • Rollup Fees, ADA Flow, Subscriptions Plus exclusive benefits for $GERO holders! Note: Trezor Keystone Hardware Wallet import isn’t available yet but will be soon. Major announcements are on the horizon – stay tuned for more updates as we redefine your crypto experience with Gero Dashboard! #CardanoCommunity #Cardano #Ap3x
1:00

🚀Announcing v2.4 of GeroWallet – now rebranded as Gero Dashboard! Submitted to the Chrome Store and going live in a few days. This update is free for thousands of users, with seamless migration of your wallets & private keys. Enjoy features that were once beta-exclusive: • Cashback – Pay with any credit card online & unlock crypto rewards • Governance – Delegate to DReps & engage in Cardano’s decentralized decisions • Cardano Shield – Advanced phishing defense using ML & community insights • Swap – Seamlessly exchange between Cardano native tokens • Wallet Analytics – Visualize your tokens & NFTs with detailed insights And now, support for Apex Fusion: Create, import & stake your AP3X tokens with our own stake pool. Coming soon, we’re working on: • Bank Integration • Multi-Sig Transactions • Social Login • zkFiat & Off-Ramp Reporting • Rollup Fees, ADA Flow, Subscriptions Plus exclusive benefits for $GERO holders! Note: Trezor Keystone Hardware Wallet import isn’t available yet but will be soon. Major announcements are on the horizon – stay tuned for more updates as we redefine your crypto experience with Gero Dashboard! #CardanoCommunity #Cardano #Ap3x

Gero

17,322 次观看 • 1 年前

🚀 NEW EPISODE 🚀 Scaling the Agentic Internet Friederike Ernst 🦉 chats with Bowen Wang, Head of Protocol @ Near One, about blockchain scaling, AI, and how NEAR Protocol sets the ground for AI-native apps & the agentic economy. ‘Attention Is All You Need’, co-wrote by Illia Polosukhin in 2017, laid the foundation for arguably one of the most consequential tech breakthroughs in our recent history. 1 year later, Illia founded Near AI, which later became NEAR Protocol. They were visionaries ahead of their time and, although AI took several more years before becoming a viable product, the experience of scaling databases would later prove valuable and applicable in blockchain world. As a result, NEAR Protocol is one of the first blockchains to implement execution layer sharding, asynchronous execution and stateless validation, bringing the finality time down to 1.2 seconds, with a block time of 0.6 seconds. Don't forget to RT & follow Epicenter Podcast! Topics discussed in this episode: 0:00 - Introduction 3:30 - Bowen’s background 4:47 - Near’s pivot from AI to blockchains 8:26 - The role of Near One 9:13 - Near’s tech stack upgrades 13:39 - Optimizing network architecture 17:08 - Stateless validation & block propagation 21:10 - Sharding & asynchronous execution 29:12 - Message passing between shards & shard ‘equality’ 35:51 - Challenges of implementing stateless validation 41:05 - Applications benefiting from Near’s finality speed 44:18 - Intent-based infrastructure 47:10 - AI use cases on Near 52:27 - Expanding Near’s ecosystem 54:43 - Development challenges 57:55 - Near’s vision and goals
1:01:40

🚀 NEW EPISODE 🚀 Scaling the Agentic Internet Friederike Ernst 🦉 chats with Bowen Wang, Head of Protocol @ Near One, about blockchain scaling, AI, and how NEAR Protocol sets the ground for AI-native apps & the agentic economy. ‘Attention Is All You Need’, co-wrote by Illia Polosukhin in 2017, laid the foundation for arguably one of the most consequential tech breakthroughs in our recent history. 1 year later, Illia founded Near AI, which later became NEAR Protocol. They were visionaries ahead of their time and, although AI took several more years before becoming a viable product, the experience of scaling databases would later prove valuable and applicable in blockchain world. As a result, NEAR Protocol is one of the first blockchains to implement execution layer sharding, asynchronous execution and stateless validation, bringing the finality time down to 1.2 seconds, with a block time of 0.6 seconds. Don't forget to RT & follow Epicenter Podcast! Topics discussed in this episode: 0:00 - Introduction 3:30 - Bowen’s background 4:47 - Near’s pivot from AI to blockchains 8:26 - The role of Near One 9:13 - Near’s tech stack upgrades 13:39 - Optimizing network architecture 17:08 - Stateless validation & block propagation 21:10 - Sharding & asynchronous execution 29:12 - Message passing between shards & shard ‘equality’ 35:51 - Challenges of implementing stateless validation 41:05 - Applications benefiting from Near’s finality speed 44:18 - Intent-based infrastructure 47:10 - AI use cases on Near 52:27 - Expanding Near’s ecosystem 54:43 - Development challenges 57:55 - Near’s vision and goals

Epicenter Podcast

66,601 次观看 • 1 年前

What's next for OpenTUI? Here's a technical write-up. Over the last few months OpenTUI gained a lot of stability improvements, new unnecessary but fun features like live audio streaming, and useful features like rendering to the scrollback buffer mixed with a live TUI, called footer mode. Overall the feature set enables building large and complex applications. React and Solid make it super simple and convenient. There is still so much to do though. Three big milestones we have set out to achieve are: - Moving most of the behavioural logic currently living in TypeScript down to the native Zig core - Node compatibility - Optimizing the hell out of primitives like text rendering The render tree mechanisms are currently only usable from TypeScript. Think of the DOM, but controllable like a scene graph. Elements in the render tree are called renderables. They can expose a render method to draw themselves. All renderables are derived from a BaseRenderable. Renderables and the render tree will become native primitives. Building blocks usable from any language bindings. Reducing the TypeScript bindings to a very thin layer, with all the behavioural logic living in the native binary. Moving this down is not just a matter of porting TypeScript classes to Zig. TypeScript currently owns the tree, dirty-state propagation, layout reads, culling, and render ordering. If it still has to walk every node and call into native code for each step, we keep most of the complexity and add FFI overhead. Whole passes and their state need to move together. We took a big step towards this recently by building yoga-layout into the native binary. It exposes part of the official yoga-layout TypeScript package via FFI. Only the API surface that is actually used by OpenTUI. Covered by the test suite of the original yoga-layout package. This already gave a median speedup of ~2.5x, and up to 30x for narrow scenarios. The yoga-layout integration is useful beyond the speedup. Built-in text and editor measurement can now happen entirely in native code during layout instead of calling back into JavaScript. I ran an experiment last month taking this even further, having GPT 5.6 port yoga-layout from C++ to Zig, which gave extremely good results. It would be a burden to maintain right now though, so that's off the table for now. I might come back to it. Simon Klee is working relentlessly on Node compatibility and already has a full Node version of OpenCode running. Node got FFI support in v26.4.0, thanks to help from the Node community, namely Matteo Collina and Paolo Insogna. Behaviour and interfaces seem similar between Node and Bun, but there are some major differences. To get the best performance out of the Node FFI implementation, its usage has to follow some rules. Node has three ways to call native functions: the generic C++/libffi path, the SharedBuffer path, and the V8 Fast API. The generic path converts every argument in Node's C++ layer and then calls the function through libffi. It is flexible, but also the slowest option for frequently called functions. The SharedBuffer path is a middle ground. JavaScript writes scalar values and BigInt pointers into a small per-function buffer, reducing some conversion work. The actual native call still goes through libffi though. Typed arrays used as pointers cannot be packed into this buffer and fall back to the generic path. The path we really want is the V8 Fast API. Node generates a small machine-code trampoline for the exact function signature, allowing optimized JavaScript to call the native function without going through the generic converter or libffi. This only applies to JavaScript-to-native calls. Callbacks from native code into JavaScript still use libffi closures. Getting onto this path is quite strict. A signature can have at most eight arguments and everything must fit into CPU registers. x86-64 Unix systems have room for six GP (general-purpose) and eight FP (floating-point) arguments. AArch64 has room for seven GP and eight FP arguments. Anything that spills onto the stack falls back to a slower path. These are Node fast-path restrictions, not general FFI restrictions. Bun also does not support passing structs by value through its current FFI API. OpenTUI uses bun-ffi-structs to pack ABI-aligned struct data into an ArrayBuffer and passes a pointer instead. Despite the name, the package also works with Node. Pointers need some care too. Typed arrays and ArrayBuffers normally have to be resolved into BigInt addresses first. Eligible functions with exactly one pointer argument get another Fast API entrypoint that can extract the address directly from the buffer. An eligible signature is still not enough. V8 has to optimize a direct call with a fixed number of consistently typed arguments. Wrappers that collect arguments and forward them using spread or Reflect.apply can hide that call shape and keep the function on a slower path. The practical rules are: keep hot signatures within register limits, use direct fixed-arity calls with stable argument types, reuse owned buffers safely, and batch small operations. Then measure the real call site, because eligibility only makes a function fast-capable. We have to design the ABI around these constraints where it makes sense and gives the expected performance improvement. The third big area is text rendering. Today a Text renderable accepts a string, StyledText, or a tree of TextNodes. Before rendering, the TextNode tree is walked and flattened into styled chunks. Those chunks are packed in TypeScript, sent through FFI, copied into a native TextBuffer, and stored in a rope. Styles are represented separately as highlights. A TextBufferView then wraps the rope into visual lines, which are drawn into the visible buffer. This works, but updates are much more expensive than they should be. setStyledText effectively throws away and rebuilds the rope, copies and reparses all text and recreates the style highlights. Changing one TextNode also walks and flattens the complete tree before going through this path again. Text and style segments should instead live directly in the rope and support incremental replacement. Memory ownership is split between retained JavaScript buffers, the native memory registry, rope arenas, wrapping caches, styled-text storage, and highlights. Different operations preserve or reset different parts of that state. This is hard to reason about and can retain memory for much longer than expected. Text storage needs clearer ownership, with fewer lifetimes split across JavaScript and native code. The public API reflects the same split. The t template literal is convenient, but creates another intermediate chunk representation that is mutable, not cached, and not merged. Text also maintains both StyledText content and a special TextNode tree, which do not compose properly. TextNode is only a style scope, not a normal layout primitive, so Text renderables cannot naturally compose inside each other. I think this should become one Text primitive backed directly by rope segments. The template literal API might disappear or become a very thin helper around those native segments. Editing has another temporary layer in TypeScript. Extmarks currently monkey-patch editing operations, scan and adjust all marks after changes, maintain their own undo state, and recreate native highlights. They should become native marks anchored directly in the rope. A proper mark tree, similar to Neovim's marktree, could update marks together with edits, undo, and redo, and provide the foundation for highlights and concealment. Text wrapping has also become too complex. Supporting CJK, emoji, combining characters, ZWJ sequences, tabs, and different terminal width rules currently mixes byte offsets, grapheme indexes, and display-cell columns across several custom algorithms. Dirty views rewrap the complete document. Measurement and drawing can repeat some of the same work. The wrapping implementation needs an overhaul, but the exact shape is still open. The goal is to make Unicode handling easier to maintain, avoid repeated full-document work, and clearly separate byte offsets, graphemes, and terminal display cells. None of this will happen as one big rewrite. We will replace pieces when we understand the problem well enough and when the result is clearly simpler, faster, or more useful. To achieve all of this we might break public interfaces. Thanks to OpenCode and a lot of good models, migration to a new version with breaking changes mostly is not an issue anymore. What do you want to see next for OpenTUI?
0:57

What's next for OpenTUI? Here's a technical write-up. Over the last few months OpenTUI gained a lot of stability improvements, new unnecessary but fun features like live audio streaming, and useful features like rendering to the scrollback buffer mixed with a live TUI, called footer mode. Overall the feature set enables building large and complex applications. React and Solid make it super simple and convenient. There is still so much to do though. Three big milestones we have set out to achieve are: - Moving most of the behavioural logic currently living in TypeScript down to the native Zig core - Node compatibility - Optimizing the hell out of primitives like text rendering The render tree mechanisms are currently only usable from TypeScript. Think of the DOM, but controllable like a scene graph. Elements in the render tree are called renderables. They can expose a render method to draw themselves. All renderables are derived from a BaseRenderable. Renderables and the render tree will become native primitives. Building blocks usable from any language bindings. Reducing the TypeScript bindings to a very thin layer, with all the behavioural logic living in the native binary. Moving this down is not just a matter of porting TypeScript classes to Zig. TypeScript currently owns the tree, dirty-state propagation, layout reads, culling, and render ordering. If it still has to walk every node and call into native code for each step, we keep most of the complexity and add FFI overhead. Whole passes and their state need to move together. We took a big step towards this recently by building yoga-layout into the native binary. It exposes part of the official yoga-layout TypeScript package via FFI. Only the API surface that is actually used by OpenTUI. Covered by the test suite of the original yoga-layout package. This already gave a median speedup of ~2.5x, and up to 30x for narrow scenarios. The yoga-layout integration is useful beyond the speedup. Built-in text and editor measurement can now happen entirely in native code during layout instead of calling back into JavaScript. I ran an experiment last month taking this even further, having GPT 5.6 port yoga-layout from C++ to Zig, which gave extremely good results. It would be a burden to maintain right now though, so that's off the table for now. I might come back to it. Simon Klee is working relentlessly on Node compatibility and already has a full Node version of OpenCode running. Node got FFI support in v26.4.0, thanks to help from the Node community, namely Matteo Collina and Paolo Insogna. Behaviour and interfaces seem similar between Node and Bun, but there are some major differences. To get the best performance out of the Node FFI implementation, its usage has to follow some rules. Node has three ways to call native functions: the generic C++/libffi path, the SharedBuffer path, and the V8 Fast API. The generic path converts every argument in Node's C++ layer and then calls the function through libffi. It is flexible, but also the slowest option for frequently called functions. The SharedBuffer path is a middle ground. JavaScript writes scalar values and BigInt pointers into a small per-function buffer, reducing some conversion work. The actual native call still goes through libffi though. Typed arrays used as pointers cannot be packed into this buffer and fall back to the generic path. The path we really want is the V8 Fast API. Node generates a small machine-code trampoline for the exact function signature, allowing optimized JavaScript to call the native function without going through the generic converter or libffi. This only applies to JavaScript-to-native calls. Callbacks from native code into JavaScript still use libffi closures. Getting onto this path is quite strict. A signature can have at most eight arguments and everything must fit into CPU registers. x86-64 Unix systems have room for six GP (general-purpose) and eight FP (floating-point) arguments. AArch64 has room for seven GP and eight FP arguments. Anything that spills onto the stack falls back to a slower path. These are Node fast-path restrictions, not general FFI restrictions. Bun also does not support passing structs by value through its current FFI API. OpenTUI uses bun-ffi-structs to pack ABI-aligned struct data into an ArrayBuffer and passes a pointer instead. Despite the name, the package also works with Node. Pointers need some care too. Typed arrays and ArrayBuffers normally have to be resolved into BigInt addresses first. Eligible functions with exactly one pointer argument get another Fast API entrypoint that can extract the address directly from the buffer. An eligible signature is still not enough. V8 has to optimize a direct call with a fixed number of consistently typed arguments. Wrappers that collect arguments and forward them using spread or Reflect.apply can hide that call shape and keep the function on a slower path. The practical rules are: keep hot signatures within register limits, use direct fixed-arity calls with stable argument types, reuse owned buffers safely, and batch small operations. Then measure the real call site, because eligibility only makes a function fast-capable. We have to design the ABI around these constraints where it makes sense and gives the expected performance improvement. The third big area is text rendering. Today a Text renderable accepts a string, StyledText, or a tree of TextNodes. Before rendering, the TextNode tree is walked and flattened into styled chunks. Those chunks are packed in TypeScript, sent through FFI, copied into a native TextBuffer, and stored in a rope. Styles are represented separately as highlights. A TextBufferView then wraps the rope into visual lines, which are drawn into the visible buffer. This works, but updates are much more expensive than they should be. setStyledText effectively throws away and rebuilds the rope, copies and reparses all text and recreates the style highlights. Changing one TextNode also walks and flattens the complete tree before going through this path again. Text and style segments should instead live directly in the rope and support incremental replacement. Memory ownership is split between retained JavaScript buffers, the native memory registry, rope arenas, wrapping caches, styled-text storage, and highlights. Different operations preserve or reset different parts of that state. This is hard to reason about and can retain memory for much longer than expected. Text storage needs clearer ownership, with fewer lifetimes split across JavaScript and native code. The public API reflects the same split. The t template literal is convenient, but creates another intermediate chunk representation that is mutable, not cached, and not merged. Text also maintains both StyledText content and a special TextNode tree, which do not compose properly. TextNode is only a style scope, not a normal layout primitive, so Text renderables cannot naturally compose inside each other. I think this should become one Text primitive backed directly by rope segments. The template literal API might disappear or become a very thin helper around those native segments. Editing has another temporary layer in TypeScript. Extmarks currently monkey-patch editing operations, scan and adjust all marks after changes, maintain their own undo state, and recreate native highlights. They should become native marks anchored directly in the rope. A proper mark tree, similar to Neovim's marktree, could update marks together with edits, undo, and redo, and provide the foundation for highlights and concealment. Text wrapping has also become too complex. Supporting CJK, emoji, combining characters, ZWJ sequences, tabs, and different terminal width rules currently mixes byte offsets, grapheme indexes, and display-cell columns across several custom algorithms. Dirty views rewrap the complete document. Measurement and drawing can repeat some of the same work. The wrapping implementation needs an overhaul, but the exact shape is still open. The goal is to make Unicode handling easier to maintain, avoid repeated full-document work, and clearly separate byte offsets, graphemes, and terminal display cells. None of this will happen as one big rewrite. We will replace pieces when we understand the problem well enough and when the result is clearly simpler, faster, or more useful. To achieve all of this we might break public interfaces. Thanks to OpenCode and a lot of good models, migration to a new version with breaking changes mostly is not an issue anymore. What do you want to see next for OpenTUI?

kmdr

29,430 次观看 • 14 天前

The Solana TCG scene is getting crowded, so I dug through it and made a curated map. 🎴 Bookmark this if you’re into packs, cards and onchain collectibles. Core Solana first 👇 • Collector Crypt One of the main infrastructure layers for tokenized TCG on Solana. Vaulted graded cards, digital packs, instant sellback, physical redemption and onchain ownership. • Gacha A dedicated pack-ripping platform for graded cards. Digital packs, real collectibles and global redemption, with a clean consumer experience. • gachasports Sports cards meet pack ripping. Powered by Collector Crypt, but focused on real sports collectibles instead of the usual Pokémon/One Piece angle. • phygitals Physical collectibles connected to digital ownership. Cards and other real assets become easier to trade, track and move through crypto rails. • Artifacte A broader collectibles and RWA project. Cards are part of the picture, but the angle extends into luxury collectibles and gacha-style mechanics powered by Collector Crypt. • BONKUJI An onchain oripa-style project for Pokémon/One Piece grails. The distinctive part is the connection to the wider BONK brand and culture, which makes it feel very native to Solana. • Token Rips Not really TCG, but worth including for the pack mechanic. Instead of opening packs for cards, users open packs for Solana tokens. Same “rip and reveal” behavior, different prize layer. • PokeRescue A Pokémon-focused collector tool around graded cards and NFTs. More about discovery, alerts and finding opportunities than classic pack ripping. • CollectorRoll 1v1 Pokémon pack battles on Solana. Two players open packs against each other, and the best pull wins the pot. • Slabz A Solana collectibles arcade. Games, packs and real cards, with more going on after the initial rip. • dm.fun A broader Solana consumer app with pack ripping inside. Chat, trade, meme, predict and open Pokémon packs in the same app. • Rosentica: One Arena A gameplay layer for TCG collectors. Online battles with real-world TCG cards, built with MagicBlock and powered by Collector Crypt. • TheCollectorGroup Live pack ripping with a Solana-native feel. Buy, queue, watch the rip on stream, then view or redeem cards through the site. • Pull.Fun Graded slabs with verifiable odds. Inventory-backed pulls, instant settlement and trade/redeem mechanics. • RipRip.io A straightforward digital-to-physical pack model on Solana. Open packs online, then ship or redeem the real cards. • Solflare - The Solana Wallet - Not a TCG project but Solflare Packs matters because it brings pack opening directly inside a crypto wallet (powered by Collector Crypt) Multi-chain and Solana-supported 👇 • Packy.GG A multi-chain pack platform for Pokémon/One Piece collectibles. Packs, races, battles, raffles, buybacks, withdrawals and SOL support. • Beezie A tokenized collectibles marketplace expanding into Solana. The arcade angle stands out: claw machines, transparent odds, authenticated collectibles and redemption. • DYLI A broader collectibles platform. Collect digitally, own physically, ship globally. More marketplace/infrastructure than pure TCG app. • Shiny A broader collectibles and entertainment platform. Less focused on one mechanic, more on the collector experience around cards and related assets. • Monster A trading card collecting platform with an active pack-opening experience. Focused on making trading cards easier and more fun to collect online. • Grailed Digital packs and pack battles around collectible cards. The focus is on opening packs, competing with others and shipping the real cards. • Verity A premium collectibles platform with provable ownership. Still early, but already experimenting with gacha-style drops and physical collectible ownership. Which one have you tried? And which one caught your attention the most and why?
0:24

The Solana TCG scene is getting crowded, so I dug through it and made a curated map. 🎴 Bookmark this if you’re into packs, cards and onchain collectibles. Core Solana first 👇 • Collector Crypt One of the main infrastructure layers for tokenized TCG on Solana. Vaulted graded cards, digital packs, instant sellback, physical redemption and onchain ownership. • Gacha A dedicated pack-ripping platform for graded cards. Digital packs, real collectibles and global redemption, with a clean consumer experience. • gachasports Sports cards meet pack ripping. Powered by Collector Crypt, but focused on real sports collectibles instead of the usual Pokémon/One Piece angle. • phygitals Physical collectibles connected to digital ownership. Cards and other real assets become easier to trade, track and move through crypto rails. • Artifacte A broader collectibles and RWA project. Cards are part of the picture, but the angle extends into luxury collectibles and gacha-style mechanics powered by Collector Crypt. • BONKUJI An onchain oripa-style project for Pokémon/One Piece grails. The distinctive part is the connection to the wider BONK brand and culture, which makes it feel very native to Solana. • Token Rips Not really TCG, but worth including for the pack mechanic. Instead of opening packs for cards, users open packs for Solana tokens. Same “rip and reveal” behavior, different prize layer. • PokeRescue A Pokémon-focused collector tool around graded cards and NFTs. More about discovery, alerts and finding opportunities than classic pack ripping. • CollectorRoll 1v1 Pokémon pack battles on Solana. Two players open packs against each other, and the best pull wins the pot. • Slabz A Solana collectibles arcade. Games, packs and real cards, with more going on after the initial rip. • dm.fun A broader Solana consumer app with pack ripping inside. Chat, trade, meme, predict and open Pokémon packs in the same app. • Rosentica: One Arena A gameplay layer for TCG collectors. Online battles with real-world TCG cards, built with MagicBlock and powered by Collector Crypt. • TheCollectorGroup Live pack ripping with a Solana-native feel. Buy, queue, watch the rip on stream, then view or redeem cards through the site. • Pull.Fun Graded slabs with verifiable odds. Inventory-backed pulls, instant settlement and trade/redeem mechanics. • RipRip.io A straightforward digital-to-physical pack model on Solana. Open packs online, then ship or redeem the real cards. • Solflare - The Solana Wallet - Not a TCG project but Solflare Packs matters because it brings pack opening directly inside a crypto wallet (powered by Collector Crypt) Multi-chain and Solana-supported 👇 • Packy.GG A multi-chain pack platform for Pokémon/One Piece collectibles. Packs, races, battles, raffles, buybacks, withdrawals and SOL support. • Beezie A tokenized collectibles marketplace expanding into Solana. The arcade angle stands out: claw machines, transparent odds, authenticated collectibles and redemption. • DYLI A broader collectibles platform. Collect digitally, own physically, ship globally. More marketplace/infrastructure than pure TCG app. • Shiny A broader collectibles and entertainment platform. Less focused on one mechanic, more on the collector experience around cards and related assets. • Monster A trading card collecting platform with an active pack-opening experience. Focused on making trading cards easier and more fun to collect online. • Grailed Digital packs and pack battles around collectible cards. The focus is on opening packs, competing with others and shipping the real cards. • Verity A premium collectibles platform with provable ownership. Still early, but already experimenting with gacha-style drops and physical collectible ownership. Which one have you tried? And which one caught your attention the most and why?

Sailor

21,818 次观看 • 1 个月前

From Morgan Stanley to Ripple to Hedera: Building the Shopify of Institutional Asset Tokenization The world is moving toward a system where everyone, not just millionaires, can access high-quality real world assets. In our conversation with Anil, the founder of cSigma Finance, he explained how global investors and real businesses are being left out of traditional financial systems, and why DLT such as Hedera finally makes this possible. Anil spent nearly two decades in financial services, from Morgan Stanley to building institutional grade credit products Ripple, before launching cSigma in 2023. Today his team is building the full infrastructure layer for asset originators to bring institutional grade financial assets onchain. Here are the key insights straight from the interview: • Investors outside financial centers struggle to access high quality assets. • Even in developed countries, most people are shut out of institutional opportunities. • Mid-market businesses often pay extremely high APR because traditional lenders cannot efficiently serve smaller ticket credit. • cSigma connects these businesses directly with global stablecoin liquidity using a compliant, blockchain native process. • More than 80 million dollars in fully collateralized, legally enforceable real world assets have already been originated. • Higher yields are possible without speculative token incentives. • Asset originators are reducing their cost of capital by 20 to 30 percent. • cSigma built a complete stack: AI credit analysis, legal and compliance rails, risk monitoring, tokenization standards, and real settlement workflows. • Permissioned institutional capital and permissionless global liquidity now interact through one architecture designed for regulation and scale. Anil’s thoughts on 2026 were clear: Anyone with even 1000 dollars should be able to build a diversified portfolio of institutional grade assets. Tokenization makes this possible. Hedera makes this possible. This is what democratizing finance actually looks like. Podcast supported by HashPack Wallet Hedera Hashgraph Hedera Foundation
22:24

From Morgan Stanley to Ripple to Hedera: Building the Shopify of Institutional Asset Tokenization The world is moving toward a system where everyone, not just millionaires, can access high-quality real world assets. In our conversation with Anil, the founder of cSigma Finance, he explained how global investors and real businesses are being left out of traditional financial systems, and why DLT such as Hedera finally makes this possible. Anil spent nearly two decades in financial services, from Morgan Stanley to building institutional grade credit products Ripple, before launching cSigma in 2023. Today his team is building the full infrastructure layer for asset originators to bring institutional grade financial assets onchain. Here are the key insights straight from the interview: • Investors outside financial centers struggle to access high quality assets. • Even in developed countries, most people are shut out of institutional opportunities. • Mid-market businesses often pay extremely high APR because traditional lenders cannot efficiently serve smaller ticket credit. • cSigma connects these businesses directly with global stablecoin liquidity using a compliant, blockchain native process. • More than 80 million dollars in fully collateralized, legally enforceable real world assets have already been originated. • Higher yields are possible without speculative token incentives. • Asset originators are reducing their cost of capital by 20 to 30 percent. • cSigma built a complete stack: AI credit analysis, legal and compliance rails, risk monitoring, tokenization standards, and real settlement workflows. • Permissioned institutional capital and permissionless global liquidity now interact through one architecture designed for regulation and scale. Anil’s thoughts on 2026 were clear: Anyone with even 1000 dollars should be able to build a diversified portfolio of institutional grade assets. Tokenization makes this possible. Hedera makes this possible. This is what democratizing finance actually looks like. Podcast supported by HashPack Wallet Hedera Hashgraph Hedera Foundation

Generation Infinity

161,084 次观看 • 7 个月前

NEAR AI Ecosystem – “What Did You Ship This Week?” Ep. 7 A big week across the NEAR AI ecosystem with updates on personalized data agents, TypeScript tooling, crowdsourced AI data, and non-custodial flows for token coordination + much more. Timestamps & Highlights: 00:00 – Intro by Cameron.near🇺🇸 from NEAR AI 01:00 – 𝕵𝖔𝖗𝖉𝖆𝖓✨🐾ヤᵇᵃ ͥ ꜝ9d from PublicAI explains how their platform lets users earn stablecoins and points by uploading and verifying native language audio clips. Data builders can now claim earnings directly to a NEAR Protocol wallet. Public beta is live. 09:35 – Matt Hamilton from ASIMOV Protocol demos their CLI tools for uploading structured datasets to NEAR, plus new knowledge graph visualizations and early experiments transcribing voice into semantic graphs. 15:55 – @tahpot_au from Verida 💜 shows how developers can access private user data for AI agents using the Verida Vault. Users retain full control over their data, with API keys gated by permission. 25:25 – Zahidul Islam from Jutsu | Work Smarter with AI Agents drops updates on the NEAR AI TypeScript SDK. One-command agent deployment, fully local dev support, and matching features with the Python SDK. Also demoed new AI-generated video tooling with Postt. 34:20 – Matt Lockyer from Proximity Labs shares the launch of their Base naming agent Basednames. Users post on X to mint names, pay with Bankr, and finalize with verified chain signatures powered by NEAR. All non-custodial. All live on Base. 50:35 – Charles previews Divvy Agent. Users can set portfolio growth and swap thresholds with natural language. Latest update adds persistent memory, improved LLM matching, and MPC integration for safe, automated execution. 59:36 – Cameron.near🇺🇸 closes out with updates from the NEAR AI core team. Hiring in progress, governance agents coming soon, and progress on privacy tooling and agent infra powering the NEAR AI Hub. The future is NEAR - the blockchain for AI. Catch the full replay:
1:03:20

NEAR AI Ecosystem – “What Did You Ship This Week?” Ep. 7 A big week across the NEAR AI ecosystem with updates on personalized data agents, TypeScript tooling, crowdsourced AI data, and non-custodial flows for token coordination + much more. Timestamps & Highlights: 00:00 – Intro by Cameron.near🇺🇸 from NEAR AI 01:00 – 𝕵𝖔𝖗𝖉𝖆𝖓✨🐾ヤᵇᵃ ͥ ꜝ9d from PublicAI explains how their platform lets users earn stablecoins and points by uploading and verifying native language audio clips. Data builders can now claim earnings directly to a NEAR Protocol wallet. Public beta is live. 09:35 – Matt Hamilton from ASIMOV Protocol demos their CLI tools for uploading structured datasets to NEAR, plus new knowledge graph visualizations and early experiments transcribing voice into semantic graphs. 15:55 – @tahpot_au from Verida 💜 shows how developers can access private user data for AI agents using the Verida Vault. Users retain full control over their data, with API keys gated by permission. 25:25 – Zahidul Islam from Jutsu | Work Smarter with AI Agents drops updates on the NEAR AI TypeScript SDK. One-command agent deployment, fully local dev support, and matching features with the Python SDK. Also demoed new AI-generated video tooling with Postt. 34:20 – Matt Lockyer from Proximity Labs shares the launch of their Base naming agent Basednames. Users post on X to mint names, pay with Bankr, and finalize with verified chain signatures powered by NEAR. All non-custodial. All live on Base. 50:35 – Charles previews Divvy Agent. Users can set portfolio growth and swap thresholds with natural language. Latest update adds persistent memory, improved LLM matching, and MPC integration for safe, automated execution. 59:36 – Cameron.near🇺🇸 closes out with updates from the NEAR AI core team. Hiring in progress, governance agents coming soon, and progress on privacy tooling and agent infra powering the NEAR AI Hub. The future is NEAR - the blockchain for AI. Catch the full replay:

NEARWEEK

35,143 次观看 • 1 年前

been diving deep into Solstice lately...and honestly, this feels like the next stage of defi evolution on solana !! i actually spent 6+ hours researching and breaking it all down in a full detailed video > from how usx works to the ai-powered yieldvault, staking architecture, and why solstice might change the solana defi landscape. here’s what makes it stand out 👇 ================================ The Core Idea: solstice is building a self sustaining defi economy on solana, blending tradfi reliability with defi creativity. the focus? real yield, transparent onchain activity, and long term wealth creation, not hype cycles. ================================ 3 Pillars driving it all: 1. usx > solana native stablecoin fully collateralized, programmable, and scalable. more than a stablecoin, it fuels the entire solstice ecosystem. think of it as the liquidity backbone for all yield and staking strategies. 2. yieldvault > automated compounding engine ai-powered, delta-neutral strategies that generate yield in any market. capital protected, transparent, and designed for passive income. no inflated apy gimmicks. just sustainable, on-chain compounding. 3. solstice staking > institutional grade non-custodial validator network, 100% renewable energy, 99.99% uptime. over $1b in staked assets already powering solana. built for both individual stakers and large protocols. ================================ Why it matters: while most defi projects chase trends, solstice is building infrastructure that scales - for users, investors, and institutions. it’s aiming to onboard the next billion into defi by keeping things fast, clean, and reliable. ================================ How your capital grows here: • mint or hold $USX - always fully backed • deposit into yieldvault - earn stable returns through delta-neutral ai strategies • stake in the validator network - earn yield while securing solana • reinvest and compound - every token works, every second counts ================================ Key advantages: ✅ built on solana - instant txs + ultra-low fees ✅ yield from real onchain activity, not emissions ✅ cross-integrated products that reinforce each other ✅ powered by renewable energy ✅ transparent analytics + verifiable smart contracts ================================ this isn’t “degen defi” it’s infrastructure for the next wave of sustainable onchain finance. if you’re into yield, stability, and scalable defi... keep an eye on Solstice. the future of defi might just start here with xeet .
2:16

been diving deep into Solstice lately...and honestly, this feels like the next stage of defi evolution on solana !! i actually spent 6+ hours researching and breaking it all down in a full detailed video > from how usx works to the ai-powered yieldvault, staking architecture, and why solstice might change the solana defi landscape. here’s what makes it stand out 👇 ================================ The Core Idea: solstice is building a self sustaining defi economy on solana, blending tradfi reliability with defi creativity. the focus? real yield, transparent onchain activity, and long term wealth creation, not hype cycles. ================================ 3 Pillars driving it all: 1. usx > solana native stablecoin fully collateralized, programmable, and scalable. more than a stablecoin, it fuels the entire solstice ecosystem. think of it as the liquidity backbone for all yield and staking strategies. 2. yieldvault > automated compounding engine ai-powered, delta-neutral strategies that generate yield in any market. capital protected, transparent, and designed for passive income. no inflated apy gimmicks. just sustainable, on-chain compounding. 3. solstice staking > institutional grade non-custodial validator network, 100% renewable energy, 99.99% uptime. over $1b in staked assets already powering solana. built for both individual stakers and large protocols. ================================ Why it matters: while most defi projects chase trends, solstice is building infrastructure that scales - for users, investors, and institutions. it’s aiming to onboard the next billion into defi by keeping things fast, clean, and reliable. ================================ How your capital grows here: • mint or hold $USX - always fully backed • deposit into yieldvault - earn stable returns through delta-neutral ai strategies • stake in the validator network - earn yield while securing solana • reinvest and compound - every token works, every second counts ================================ Key advantages: ✅ built on solana - instant txs + ultra-low fees ✅ yield from real onchain activity, not emissions ✅ cross-integrated products that reinforce each other ✅ powered by renewable energy ✅ transparent analytics + verifiable smart contracts ================================ this isn’t “degen defi” it’s infrastructure for the next wave of sustainable onchain finance. if you’re into yield, stability, and scalable defi... keep an eye on Solstice. the future of defi might just start here with xeet .

ANNABEL❤️

14,216 次观看 • 9 个月前

📣🤔Why Flare ☀️ announcement of tailored DeFi Money Market for #Flare native assets & #FAssets is significant? #FAsset decentralized trustless cross chain collateral system will have a tailored built for #Flare Lending and Borrowing market alongside it on #Flarenetwork 🛡️A battle tested Money Market protocol is a key foundational 🏗️cornerstone to support a robust DeFi ecosystem on #Flarenetwork Kinetic.Market☀️ is tailor built ⚒️ for Flare ☀️ ecosystem. Integrating #FAssets will provide minters ability to earn real Yield🤑with their #FAssets by lending them to Kinetic.Market☀️ decentralized money market protocol. (Based off Compound contracts with numerous enhancements) #FAsset lenders will receive interest paid by borrowers in a decentralized manner. #FAssets/#Layercake Assets & #Flare native issued ERC20 tokens +stablecoins + $wFLR will likely all be available for lending into & borrowing from the protocol Borrowers will need to maintain an over-collateralize position for their loans. Kinetic.Market☀️ is Built by the highly experienced team at Rome Blockchain Labs Inc. Labs who has built numerous successful DeFi protocols including BENQI🔺 on #Avalanche which launched in 2021 and currently has $500Mill in TVL(Total Value Locked) Along with other versions of lending protocols on Evmos, Moonbeam and more. These smart contracts are based Compound Labs and have been enhanced, battle tested, multi audited and tailor suited to each individual ecosystem. Kinetic on Flare will harness FTSO and state connector. “Kinetic’s collaboration with Rome Blockchain Labs provides the robust technological infrastructure essential for seamless operations, while WATCHPUG and @ImmunefiSecCU which will oversee the platform’s smart contract audits and bug bounty programs, respectively.” Testing will begin on Coston2 and launch on Flare ☀️ 2024 👉I will be releasing a video📽️ 6am EST that breaks it all down and includes some additional insights of what else to expect from #Kenetics impact on #FAsset system and partnership with Ēnosys , too! Revolutionary native token reward and incentive system🤑 Will we 👀 Rome Blockchain Labs Inc. Labs super cool next gen Dapp Terminal Hopefully integrated into Flare ☀️ in the future😉 2 specific things that are tell tale signs of how DeFi is maturing. I noticed in my research, the emphasize on the detailed data available from IntoTheBlock & #ChaosLabs of ECONOMIC “Risk Management” tools for previous Lending & Borrowing Protocols built by Rome Blockchain Labs Inc. 🔗👇Economic Risk Radar 👇🔗 BENQI🔺 Rome Blockchain Labs Inc. Labs 🧐 The 2nd being Kinetic.Market☀️ numerous mentions of “devising a strategy” something I have been saying for past two years once the 2nd wave of a more mature DeFi ecosystem develops and built on foundation that’s been designed on a network like Flare ☀️ that offers multiple native yield streams at the network layer. #XRPL xls30d AMM’s will bring some of that ability to native #XRP but not at the level #Flare will once #FAsset system and #Layercake are live. Harnessing #Flarenetwork FTSO price feeds, the industries most decentralized & accurate Oracle system. The fact that #Flare has this system built into the network natively with close to ~100 community and professional Data/Infrastructure providers providing continuous price feeds removes the MAJOR RISK of having to integrate an external centralized oracle system like every other lending & borrowing protocol does on other networks. Having the FTSO system embedded natively into #Flare allows for any DeFi Dapp to easily integrate FTSO price feeds directly into Dapps avoiding complex external oracle integrations Exciting times ahead for Flare ☀️ with Kinetic.Market☀️ tailor built money market alongside #Fasset System will offer numerous opportunities for users pand Devs to build 🏗️Dapps on top of 🚀🚀 🔗 📽️Sneak Peak👇#1
1:28

📣🤔Why Flare ☀️ announcement of tailored DeFi Money Market for #Flare native assets & #FAssets is significant? #FAsset decentralized trustless cross chain collateral system will have a tailored built for #Flare Lending and Borrowing market alongside it on #Flarenetwork 🛡️A battle tested Money Market protocol is a key foundational 🏗️cornerstone to support a robust DeFi ecosystem on #Flarenetwork Kinetic.Market☀️ is tailor built ⚒️ for Flare ☀️ ecosystem. Integrating #FAssets will provide minters ability to earn real Yield🤑with their #FAssets by lending them to Kinetic.Market☀️ decentralized money market protocol. (Based off Compound contracts with numerous enhancements) #FAsset lenders will receive interest paid by borrowers in a decentralized manner. #FAssets/#Layercake Assets & #Flare native issued ERC20 tokens +stablecoins + $wFLR will likely all be available for lending into & borrowing from the protocol Borrowers will need to maintain an over-collateralize position for their loans. Kinetic.Market☀️ is Built by the highly experienced team at Rome Blockchain Labs Inc. Labs who has built numerous successful DeFi protocols including BENQI🔺 on #Avalanche which launched in 2021 and currently has $500Mill in TVL(Total Value Locked) Along with other versions of lending protocols on Evmos, Moonbeam and more. These smart contracts are based Compound Labs and have been enhanced, battle tested, multi audited and tailor suited to each individual ecosystem. Kinetic on Flare will harness FTSO and state connector. “Kinetic’s collaboration with Rome Blockchain Labs provides the robust technological infrastructure essential for seamless operations, while WATCHPUG and @ImmunefiSecCU which will oversee the platform’s smart contract audits and bug bounty programs, respectively.” Testing will begin on Coston2 and launch on Flare ☀️ 2024 👉I will be releasing a video📽️ 6am EST that breaks it all down and includes some additional insights of what else to expect from #Kenetics impact on #FAsset system and partnership with Ēnosys , too! Revolutionary native token reward and incentive system🤑 Will we 👀 Rome Blockchain Labs Inc. Labs super cool next gen Dapp Terminal Hopefully integrated into Flare ☀️ in the future😉 2 specific things that are tell tale signs of how DeFi is maturing. I noticed in my research, the emphasize on the detailed data available from IntoTheBlock & #ChaosLabs of ECONOMIC “Risk Management” tools for previous Lending & Borrowing Protocols built by Rome Blockchain Labs Inc. 🔗👇Economic Risk Radar 👇🔗 BENQI🔺 Rome Blockchain Labs Inc. Labs 🧐 The 2nd being Kinetic.Market☀️ numerous mentions of “devising a strategy” something I have been saying for past two years once the 2nd wave of a more mature DeFi ecosystem develops and built on foundation that’s been designed on a network like Flare ☀️ that offers multiple native yield streams at the network layer. #XRPL xls30d AMM’s will bring some of that ability to native #XRP but not at the level #Flare will once #FAsset system and #Layercake are live. Harnessing #Flarenetwork FTSO price feeds, the industries most decentralized & accurate Oracle system. The fact that #Flare has this system built into the network natively with close to ~100 community and professional Data/Infrastructure providers providing continuous price feeds removes the MAJOR RISK of having to integrate an external centralized oracle system like every other lending & borrowing protocol does on other networks. Having the FTSO system embedded natively into #Flare allows for any DeFi Dapp to easily integrate FTSO price feeds directly into Dapps avoiding complex external oracle integrations Exciting times ahead for Flare ☀️ with Kinetic.Market☀️ tailor built money market alongside #Fasset System will offer numerous opportunities for users pand Devs to build 🏗️Dapps on top of 🚀🚀 🔗 📽️Sneak Peak👇#1

Mickey_B_Fresh☀️🪝

51,371 次观看 • 2 年前

$sthUSD Is Live: Yield Becomes Native at Tharwa Today we open the next chapter of Tharwa. $sthUSD, our yield-bearing stablecoin layer, is now live and ready for the public. For years, stablecoins have been a $250B+ market, but nearly all of that capital has sat idle. Holders earned nothing while issuers pocketed the yield. sthUSD changes that. It makes yield a native property of money itself, flowing directly into your wallet from a portfolio of real-world assets. What is $sthUSD? sthUSD is the staked version of thUSD. It is built on an ERC-4626-inspired design, reconfigured specifically for Tharwa with a new instant-withdraw class and optimizations that make it more efficient. At launch, entry and exit fees are set at zero to encourage adoption. The mechanics are simple: • Mint $thUSD • Stake it into the $sthUSD contract • Receive $sthUSD and watch your balance grow automatically No farming gimmicks, no manual claims, no hidden risks. Withdrawals are instant. Where the Yield Comes From The yield behind sthUSD is real and transparent. It comes from the same diversified portfolio that backs thUSD: sukuk, UAE real estate, gold, and capped exposure to commodities. As these assets generate income, returns are routed through the protocol treasury and distributed proportionally to sthUSD holders. Rewards are time-weighted, vested automatically, and visible on-chain. This is not emission-driven yield. It is powered by cash flows from real-world assets, optimized through Tharwa’s portfolio design and risk framework. Why sthUSD Matters sthUSD completes the foundation of Tharwa’s ecosystem. thUSD provides stability. sthUSD turns it into a currency that compounds by default. Together, they make Tharwa function like an on-chain hedge fund: stable by design, yield-bearing by nature. That opens the door to much bigger things. sthUSD can become the backbone collateral for DeFi integrations, a reserve asset for DAOs, or a passive income instrument for institutions. It is designed to be simple for retail, yet robust enough for treasuries and fund allocators. The speculation is not whether sthUSD will matter, it is how far it spreads once DeFi realizes what it unlocks. What’s Next Launching sthUSD is not the end, it is the start of a much larger system. Coming up: • Expansion of static yield bonds through ERC-1155 vaults • Integration of sthUSD into DeFi liquidity pools and lending protocols • OTC marketplace for secondary liquidity • Production-grade AI assistant for rebalancing • Development of segregated sukuk vaults for faith-aligned yields sthUSD is the product that transforms thUSD from a stable placeholder into an income-generating unit of account. If stablecoins were the backbone of DeFi until now, sthUSD is what makes that backbone yield-bearing and alive. Stake Now:
1:07

$sthUSD Is Live: Yield Becomes Native at Tharwa Today we open the next chapter of Tharwa. $sthUSD, our yield-bearing stablecoin layer, is now live and ready for the public. For years, stablecoins have been a $250B+ market, but nearly all of that capital has sat idle. Holders earned nothing while issuers pocketed the yield. sthUSD changes that. It makes yield a native property of money itself, flowing directly into your wallet from a portfolio of real-world assets. What is $sthUSD? sthUSD is the staked version of thUSD. It is built on an ERC-4626-inspired design, reconfigured specifically for Tharwa with a new instant-withdraw class and optimizations that make it more efficient. At launch, entry and exit fees are set at zero to encourage adoption. The mechanics are simple: • Mint $thUSD • Stake it into the $sthUSD contract • Receive $sthUSD and watch your balance grow automatically No farming gimmicks, no manual claims, no hidden risks. Withdrawals are instant. Where the Yield Comes From The yield behind sthUSD is real and transparent. It comes from the same diversified portfolio that backs thUSD: sukuk, UAE real estate, gold, and capped exposure to commodities. As these assets generate income, returns are routed through the protocol treasury and distributed proportionally to sthUSD holders. Rewards are time-weighted, vested automatically, and visible on-chain. This is not emission-driven yield. It is powered by cash flows from real-world assets, optimized through Tharwa’s portfolio design and risk framework. Why sthUSD Matters sthUSD completes the foundation of Tharwa’s ecosystem. thUSD provides stability. sthUSD turns it into a currency that compounds by default. Together, they make Tharwa function like an on-chain hedge fund: stable by design, yield-bearing by nature. That opens the door to much bigger things. sthUSD can become the backbone collateral for DeFi integrations, a reserve asset for DAOs, or a passive income instrument for institutions. It is designed to be simple for retail, yet robust enough for treasuries and fund allocators. The speculation is not whether sthUSD will matter, it is how far it spreads once DeFi realizes what it unlocks. What’s Next Launching sthUSD is not the end, it is the start of a much larger system. Coming up: • Expansion of static yield bonds through ERC-1155 vaults • Integration of sthUSD into DeFi liquidity pools and lending protocols • OTC marketplace for secondary liquidity • Production-grade AI assistant for rebalancing • Development of segregated sukuk vaults for faith-aligned yields sthUSD is the product that transforms thUSD from a stable placeholder into an income-generating unit of account. If stablecoins were the backbone of DeFi until now, sthUSD is what makes that backbone yield-bearing and alive. Stake Now:

Tharwa

54,757 次观看 • 11 个月前

🥳 Let the world know that Cardano now has the first ever interoperable, decentralized advertisement agency & monetized engagement bot, a cutting-edge solution for brands looking to enhance their online marketing efforts through community engagement in the Web3 space! Clients: Leverage the power of Web3 community-driven marketing and increase your brand's visibility online by extending the reach and exposure of your content. Simply create your campaign and amplify your content to new audiences, by tapping into the strength of 150+ promoters ready to promote your brand today, official website: Our decentralized advertisement agency [beta] can be pre-funded to distribute any type of cryptocurrency from any blockchain, including native tokens. It can also be configured to automatically distribute NFTs, WL spots and coupons as different forms of rewards to promoters for engaging with a client's content, while our monetized engagement bot actively tracks whether or not a promoter has actually fulfilled the objectives of a client's campaign. Allowing not just for the advertisement of a client's brand, but also organic, widespread exposure of a client's assets to new markets with holders who are looking for new investment opportunities, creating a mutually beneficial incentive for all parties. It is an incredibly powerful tool that opens up a whole new level of utility for Web3 applications, as it is completely interoperable and reinvents the wheel when it comes to multi-chain reward distribution. Promoters: First come, first served! Engage to earn and get paid to participate using your Chilled Kongs/Magic Kongs NFT. Turn your social media accounts into digital advertisement platforms. The more you engage with campaigns, the more cross-chain rewards you will earn. Gorilla Militia members who participate in missions will receive Exp rewards that will level up their brand Kongs, unlocking perks and abilities used to access specific points of interest (premium features) on Kong Island. Key Features: ✅️ Web3 community-driven marketing ✅️ SocialFi platform ✅️ Interactive 2D/3D members map ✅️ Integrated monetized engagement bot ✅️ Multi-chain distribution ✅️ Earn cross-chain rewards ✅️ Interoperable ✅️ Transparent ✅️ Decentralized ✅️ Scalable ✅️ Select social media platform ✅️ Enter target content ✅️ Select objectives ✅️ Select payment method/wallet ✅️ Select campaign duration ✅️ Enter campaign budget ✅️ Entry deadline for promoters ✅️ Content protection for algorithmic boost ✅️ Preview target content ✅️ View leaderboard ✅️ View missions ✅️ View campaigns ✅️ View campaign analytics ✅️ View campaign statistics ✅️ View reward history ✅️ Filter rewards ✅️ Push notifications ✅️ Dedicated Discord channel for promoters ✅️ Dedicated Discord alert bot for missions/campaigns Supported Blockchains: #Bitcoin, #Cardano, #Ethereum, #XRP, #Solana, #Polygon, #BNBSmartChain, #Avalanche, #Immutable, #VeChain, #Cronos, #Polkadot Additional support for other blockchains and social media platforms will be added as the Meta-Multiverse continues to expand. The decentralized advertisement agency will be reconstituted into a standalone platform with Meta-Multiverse integrations that allow for 3rd party projects and their communities (holders) to also engage to earn. In the meantime, 3rd party project tokens can be added to our interoperable monetized engagement bot, on behalf of projects upon request, for a listing fee via Epoch Labz Chilled Kongs The Benefactor Charles Hoskinson @IOHKMedia Cardano Foundation
7:22

🥳 Let the world know that Cardano now has the first ever interoperable, decentralized advertisement agency & monetized engagement bot, a cutting-edge solution for brands looking to enhance their online marketing efforts through community engagement in the Web3 space! Clients: Leverage the power of Web3 community-driven marketing and increase your brand's visibility online by extending the reach and exposure of your content. Simply create your campaign and amplify your content to new audiences, by tapping into the strength of 150+ promoters ready to promote your brand today, official website: Our decentralized advertisement agency [beta] can be pre-funded to distribute any type of cryptocurrency from any blockchain, including native tokens. It can also be configured to automatically distribute NFTs, WL spots and coupons as different forms of rewards to promoters for engaging with a client's content, while our monetized engagement bot actively tracks whether or not a promoter has actually fulfilled the objectives of a client's campaign. Allowing not just for the advertisement of a client's brand, but also organic, widespread exposure of a client's assets to new markets with holders who are looking for new investment opportunities, creating a mutually beneficial incentive for all parties. It is an incredibly powerful tool that opens up a whole new level of utility for Web3 applications, as it is completely interoperable and reinvents the wheel when it comes to multi-chain reward distribution. Promoters: First come, first served! Engage to earn and get paid to participate using your Chilled Kongs/Magic Kongs NFT. Turn your social media accounts into digital advertisement platforms. The more you engage with campaigns, the more cross-chain rewards you will earn. Gorilla Militia members who participate in missions will receive Exp rewards that will level up their brand Kongs, unlocking perks and abilities used to access specific points of interest (premium features) on Kong Island. Key Features: ✅️ Web3 community-driven marketing ✅️ SocialFi platform ✅️ Interactive 2D/3D members map ✅️ Integrated monetized engagement bot ✅️ Multi-chain distribution ✅️ Earn cross-chain rewards ✅️ Interoperable ✅️ Transparent ✅️ Decentralized ✅️ Scalable ✅️ Select social media platform ✅️ Enter target content ✅️ Select objectives ✅️ Select payment method/wallet ✅️ Select campaign duration ✅️ Enter campaign budget ✅️ Entry deadline for promoters ✅️ Content protection for algorithmic boost ✅️ Preview target content ✅️ View leaderboard ✅️ View missions ✅️ View campaigns ✅️ View campaign analytics ✅️ View campaign statistics ✅️ View reward history ✅️ Filter rewards ✅️ Push notifications ✅️ Dedicated Discord channel for promoters ✅️ Dedicated Discord alert bot for missions/campaigns Supported Blockchains: #Bitcoin, #Cardano, #Ethereum, #XRP, #Solana, #Polygon, #BNBSmartChain, #Avalanche, #Immutable, #VeChain, #Cronos, #Polkadot Additional support for other blockchains and social media platforms will be added as the Meta-Multiverse continues to expand. The decentralized advertisement agency will be reconstituted into a standalone platform with Meta-Multiverse integrations that allow for 3rd party projects and their communities (holders) to also engage to earn. In the meantime, 3rd party project tokens can be added to our interoperable monetized engagement bot, on behalf of projects upon request, for a listing fee via Epoch Labz Chilled Kongs The Benefactor Charles Hoskinson @IOHKMedia Cardano Foundation

Chilled Kongs

17,368 次观看 • 1 年前

> celestia's matcha upgrade coming next monday: the first DA layer ready for nasdaq scale onchain finance. what did Nick White say tonight on The Rollup? ⇾ Celestia identified clob exchanges as the strongest product fit for its architecture, since exchanges need ultra low latency and very high throughput. single sequencer rollups provide the fastest latency while still enabling censorship resistance and non custodialness. ⇾ fully onchain clobs require posting all orders and cancels on chain, demanding mb/sec da capacity. the upcoming matcha upgrade enables 5 mb/s, and governance can scale this to 20 mb/s, enough for nasdaq level traffic. ⇾ teams like RISE are ready to use this throughput, reinforcing celestia's push toward vertical integration. ⇾ also depends on matcha's higher throughput, adding urgency to the upgrade. matcha reduces issuance to 2.5% and ships components of the long term proof of governance model, which removes staking and pays ~0.25% issuance directly to validators. ⇾ celestia is shifting from a build whatever approach toward targeting apps with real pmf, mirroring broader industry moves toward more opinionated architectures. because mass adoption is still far away, path dependency matters: the team believes only about 10 apps truly matter, and celestia needs to win some of them. ⇾ high volume markets like onchain forex require massive DA and celestia is one of the few platforms capable of supporting this scale. success of bullet or other clobs would prove that wall street scale onchain finance is possible. ⇾ tradfi teams are increasingly exploring building on chain platforms, and celestia must balance institutional needs with fast moving native teams. ⇾ private blockspace is already live in production with Hibachi with clear institutional and dex interest. celestia focuses mainly on app acquisition while dedicating ~20% to internal tooling.
0:20

> celestia's matcha upgrade coming next monday: the first DA layer ready for nasdaq scale onchain finance. what did Nick White say tonight on The Rollup? ⇾ Celestia identified clob exchanges as the strongest product fit for its architecture, since exchanges need ultra low latency and very high throughput. single sequencer rollups provide the fastest latency while still enabling censorship resistance and non custodialness. ⇾ fully onchain clobs require posting all orders and cancels on chain, demanding mb/sec da capacity. the upcoming matcha upgrade enables 5 mb/s, and governance can scale this to 20 mb/s, enough for nasdaq level traffic. ⇾ teams like RISE are ready to use this throughput, reinforcing celestia's push toward vertical integration. ⇾ also depends on matcha's higher throughput, adding urgency to the upgrade. matcha reduces issuance to 2.5% and ships components of the long term proof of governance model, which removes staking and pays ~0.25% issuance directly to validators. ⇾ celestia is shifting from a build whatever approach toward targeting apps with real pmf, mirroring broader industry moves toward more opinionated architectures. because mass adoption is still far away, path dependency matters: the team believes only about 10 apps truly matter, and celestia needs to win some of them. ⇾ high volume markets like onchain forex require massive DA and celestia is one of the few platforms capable of supporting this scale. success of bullet or other clobs would prove that wall street scale onchain finance is possible. ⇾ tradfi teams are increasingly exploring building on chain platforms, and celestia must balance institutional needs with fast moving native teams. ⇾ private blockspace is already live in production with Hibachi with clear institutional and dex interest. celestia focuses mainly on app acquisition while dedicating ~20% to internal tooling.

Mora 🦥

31,824 次观看 • 8 个月前

What a year. 🚀 2025 was the year ChainOpera AI turned vision into real momentum: building a community-co-created, community-co-owned AI agent network and pushing the boundaries of what decentralized, collaborative intelligence can look like. 🚀 Biggest highlights from 2025 ✅- AI Terminal officially launched: We unveiled the ChainOpera AI Terminal as a unified gateway to decentralized AI, making it possible for anyone to interact with powerful, decentralized LLMs without technical friction. Positioned as the “browser for the DeAI era,” the AI Terminal marked a major step toward making decentralized intelligence accessible, usable, and mainstream. ✅- AI Terminal adoption at massive scale: Momentum followed quickly. The AI Terminal surpassed 2M registered users and consistently ranked top 3 among all apps on the BNB AI DappBay, validating strong product–market fit and real, sustained usage at scale. ✅- Announcing Coco: the world’s first community-owned Super Agent: We introduced Coco, the intelligence layer that sits between users and the agent network. Coco dynamically routes each request to the most efficient, community-built agent—optimizing for quality and speed while rewarding the creators behind the best-performing agents. This was a defining moment in realizing a truly community-owned intelligence layer. ✅- From agents to a living agent network: With the launch of the Agent Social Network and Super Agent architecture, ChainOpera AI moved beyond isolated agents toward a collaborative system where humans and specialized agents coordinate, share context, and solve complex, multi-step tasks together. ✅- $COAI breakout year: The listing of $COAI across major exchanges shocked the market, and throughout the year COAI consistently remained among the top AI-native crypto tokens by visibility, activity, and community engagement – reflecting growing confidence in the long-term vision of collaborative intelligence. ✅- Global presence: ChainOpera AI around-the-world tour: ChainOpera AI went global in 2025, sponsoring and participating in major AI and Web3 events across North America, Europe, and Asia, including ETHDenver, Consensus Toronto, Token2049 Singapore, ETHCC, SBC, and Devcon. These global touchpoints helped us engage directly with developers, builders, investors, and partners worldwide, accelerating adoption and positioning ChainOpera AI at the center of the emerging AIxBlockchain movement. ✅- Community momentum at scale: Community remained the heart of ChainOpera AI’s growth. We successfully completed three seasons of structured community engagement, executed a widely participated community airdrop, and ran multiple ecosystem-shaping campaigns to incentivize builders, creators, and early adopters. These efforts strengthened alignment between users, developers, and the protocol, laying the foundation for a durable, community-owned AI ecosystem. ✅- “AI for Markets” taking shape: We laid critical groundwork for AI-native market intelligence, including the launch of PrediMarket Agent and multiple trading and analysis agents—early building blocks toward an AI-driven ecosystem for crypto and DeFi markets. ✅- Building in public, with the community: Across product launches, research milestones, ecosystem discussions, and global events, we continued to build openly to bring developers, users, and partners directly into the evolution of ChainOpera AI. This year also marked the launch of the ChainOpera AI Foundation website, formally kicking off a bold Ecosystem Fund designed to empower builders, incubate high-impact projects, and accelerate the growth of a truly community-owned, collaborative AI ecosystem. To every builder, user, and supporter who helped make this year possible: THANK YOU! 🧭 What we’re excited about in the coming year 🔹- A Stronger, Denser Agent Economy (everyday adoption + cross-chain reach): In 2026, we are scaling the Agent Economy from growth to daily usage, with more agents, richer workflows, deeper multi-agent collaboration, and higher-impact use cases that users rely on every day. In parallel, we are expanding the agent network beyond a single ecosystem with cross-chain execution and interoperability, allowing agents to access the best liquidity, data, and opportunities wherever they exist. 🔹- AI Market Infrastructure Evolution: Building on PrediMarket Agent and our growing suite of trading and market-intelligence agents, we are advancing toward a mature AI market infrastructure, where agents continuously monitor, reason, simulate, optimize, and act across crypto, DeFi, and beyond. The goal is to make complex markets more accessible, more transparent, and more intelligence-driven, turning research, decision-making, and execution into a fast and reliable loop for everyday users. 🔹- Ecosystem Acceleration through the Foundation: With the ChainOpera AI Foundation and our Ecosystem Fund and Co-Creation Grants, we are doubling down on empowering independent builders to expand the protocol, the agent network, and the underlying infrastructure, so the community can co-create, co-own, and scale the ecosystem together. 🔹- Business Expansion and Market Penetration: In 2026, we will focus on expanding ChainOpera’s reach through strategic partnerships, product-led growth, and new paths to monetization, bringing AI agents to a broader global user base and driving sustained adoption, engagement, and revenue, while staying aligned with community ownership and an open ecosystem. 2025 was the proof. 2026 is where it compounds. 🔥 Co-Create. Co-Own. COAI.
0:22

What a year. 🚀 2025 was the year ChainOpera AI turned vision into real momentum: building a community-co-created, community-co-owned AI agent network and pushing the boundaries of what decentralized, collaborative intelligence can look like. 🚀 Biggest highlights from 2025 ✅- AI Terminal officially launched: We unveiled the ChainOpera AI Terminal as a unified gateway to decentralized AI, making it possible for anyone to interact with powerful, decentralized LLMs without technical friction. Positioned as the “browser for the DeAI era,” the AI Terminal marked a major step toward making decentralized intelligence accessible, usable, and mainstream. ✅- AI Terminal adoption at massive scale: Momentum followed quickly. The AI Terminal surpassed 2M registered users and consistently ranked top 3 among all apps on the BNB AI DappBay, validating strong product–market fit and real, sustained usage at scale. ✅- Announcing Coco: the world’s first community-owned Super Agent: We introduced Coco, the intelligence layer that sits between users and the agent network. Coco dynamically routes each request to the most efficient, community-built agent—optimizing for quality and speed while rewarding the creators behind the best-performing agents. This was a defining moment in realizing a truly community-owned intelligence layer. ✅- From agents to a living agent network: With the launch of the Agent Social Network and Super Agent architecture, ChainOpera AI moved beyond isolated agents toward a collaborative system where humans and specialized agents coordinate, share context, and solve complex, multi-step tasks together. ✅- $COAI breakout year: The listing of $COAI across major exchanges shocked the market, and throughout the year COAI consistently remained among the top AI-native crypto tokens by visibility, activity, and community engagement – reflecting growing confidence in the long-term vision of collaborative intelligence. ✅- Global presence: ChainOpera AI around-the-world tour: ChainOpera AI went global in 2025, sponsoring and participating in major AI and Web3 events across North America, Europe, and Asia, including ETHDenver, Consensus Toronto, Token2049 Singapore, ETHCC, SBC, and Devcon. These global touchpoints helped us engage directly with developers, builders, investors, and partners worldwide, accelerating adoption and positioning ChainOpera AI at the center of the emerging AIxBlockchain movement. ✅- Community momentum at scale: Community remained the heart of ChainOpera AI’s growth. We successfully completed three seasons of structured community engagement, executed a widely participated community airdrop, and ran multiple ecosystem-shaping campaigns to incentivize builders, creators, and early adopters. These efforts strengthened alignment between users, developers, and the protocol, laying the foundation for a durable, community-owned AI ecosystem. ✅- “AI for Markets” taking shape: We laid critical groundwork for AI-native market intelligence, including the launch of PrediMarket Agent and multiple trading and analysis agents—early building blocks toward an AI-driven ecosystem for crypto and DeFi markets. ✅- Building in public, with the community: Across product launches, research milestones, ecosystem discussions, and global events, we continued to build openly to bring developers, users, and partners directly into the evolution of ChainOpera AI. This year also marked the launch of the ChainOpera AI Foundation website, formally kicking off a bold Ecosystem Fund designed to empower builders, incubate high-impact projects, and accelerate the growth of a truly community-owned, collaborative AI ecosystem. To every builder, user, and supporter who helped make this year possible: THANK YOU! 🧭 What we’re excited about in the coming year 🔹- A Stronger, Denser Agent Economy (everyday adoption + cross-chain reach): In 2026, we are scaling the Agent Economy from growth to daily usage, with more agents, richer workflows, deeper multi-agent collaboration, and higher-impact use cases that users rely on every day. In parallel, we are expanding the agent network beyond a single ecosystem with cross-chain execution and interoperability, allowing agents to access the best liquidity, data, and opportunities wherever they exist. 🔹- AI Market Infrastructure Evolution: Building on PrediMarket Agent and our growing suite of trading and market-intelligence agents, we are advancing toward a mature AI market infrastructure, where agents continuously monitor, reason, simulate, optimize, and act across crypto, DeFi, and beyond. The goal is to make complex markets more accessible, more transparent, and more intelligence-driven, turning research, decision-making, and execution into a fast and reliable loop for everyday users. 🔹- Ecosystem Acceleration through the Foundation: With the ChainOpera AI Foundation and our Ecosystem Fund and Co-Creation Grants, we are doubling down on empowering independent builders to expand the protocol, the agent network, and the underlying infrastructure, so the community can co-create, co-own, and scale the ecosystem together. 🔹- Business Expansion and Market Penetration: In 2026, we will focus on expanding ChainOpera’s reach through strategic partnerships, product-led growth, and new paths to monetization, bringing AI agents to a broader global user base and driving sustained adoption, engagement, and revenue, while staying aligned with community ownership and an open ecosystem. 2025 was the proof. 2026 is where it compounds. 🔥 Co-Create. Co-Own. COAI.

ChainOpera AI

17,042 次观看 • 7 个月前

🚀 Introducing PantheonOS ( A Fully Open-Source Agent OS for Science PantheonOS began as a research project in my Stanford lab and has since evolved into a vision to redefine data science in the era of AI—starting with computational biology, especially single-cell and spatial genomics. PantheonOS is a general agent platform built from the ground up. It is arguably the first distributed agent framework designed for scientific data analysis. 🔑 Key Features 1. Multi-Agent Collaboration – Built-in paradigms for distributed, cross-machine cooperation among agents and toolsets. 2. Native Toolset Support – Python, R, Julia, LaTeX, and more—designed for real scientific workflows. 3. Modular & Extensible – Developer-friendly design with shallow wrappers, plus LLM-driven toolset generation. 4. Evolvable Agents – Capable of evolving large-scale code projects to achieve superhuman performance (e.g., evolving upon the original Harmony [I Korsunsky, 2019, Nature Biotechnology] and Scanorama [BL Hie, 2019, Nature Biotechnology] implementations), and even evolving the system itself to adapt to new fields. 🎉 Stepwise Release Strategy We’re releasing PantheonOS in stages: Pantheon-CLI (today!), followed by Pantheon-Lab, Pantheon-Notebook, Pantheon-Slack, and more. 🌟 Pantheon-CLI Highlights - We're not just building another CLI tool. We're defining how scientists will interact with data in the AI era. - Open, Powerful, Python-First – The first fully open-source, endlessly extendable scientific “vibe analysis” framework. - Mixed Programming Magic – Combine Python, natural language, R, or Julia—seamlessly in the same environment. - PhD-Level Assistant – A command-line agent for complex real-world genomics and beyond, handling workflows at the PhD level. - Privacy by Design – Run entirely offline with local LLMs—your data never leaves your computer. ✅ Proven Applications (10 Demonstrations) Computational biology: 1. ATAC-seq: From raw reads to peak matrix 2. RNA-seq: From raw reads to expression matrix 3. Complex single-cell workflows (PhD-level) 4. Hybrid natural language + R for Seurat annotation 5. Learning from web tutorials + invoking single-cell foundation models 6. Cell segmentation on 10x Genomics HD Visium data And beyond: 7. Mixed Python & R programming examples 8. Molecular docking & structural analysis 9. Exploratory factor analysis for behavioral survey data 10. Customer segmentation & finance analytics 🌐 Learn More & Get Started Website: Pantheon-CLI Documentation: GitHub Repo: 💬 Join our community: PantheonOS Slack: PantheonOS Discord:
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🚀 Introducing PantheonOS ( A Fully Open-Source Agent OS for Science PantheonOS began as a research project in my Stanford lab and has since evolved into a vision to redefine data science in the era of AI—starting with computational biology, especially single-cell and spatial genomics. PantheonOS is a general agent platform built from the ground up. It is arguably the first distributed agent framework designed for scientific data analysis. 🔑 Key Features 1. Multi-Agent Collaboration – Built-in paradigms for distributed, cross-machine cooperation among agents and toolsets. 2. Native Toolset Support – Python, R, Julia, LaTeX, and more—designed for real scientific workflows. 3. Modular & Extensible – Developer-friendly design with shallow wrappers, plus LLM-driven toolset generation. 4. Evolvable Agents – Capable of evolving large-scale code projects to achieve superhuman performance (e.g., evolving upon the original Harmony [I Korsunsky, 2019, Nature Biotechnology] and Scanorama [BL Hie, 2019, Nature Biotechnology] implementations), and even evolving the system itself to adapt to new fields. 🎉 Stepwise Release Strategy We’re releasing PantheonOS in stages: Pantheon-CLI (today!), followed by Pantheon-Lab, Pantheon-Notebook, Pantheon-Slack, and more. 🌟 Pantheon-CLI Highlights - We're not just building another CLI tool. We're defining how scientists will interact with data in the AI era. - Open, Powerful, Python-First – The first fully open-source, endlessly extendable scientific “vibe analysis” framework. - Mixed Programming Magic – Combine Python, natural language, R, or Julia—seamlessly in the same environment. - PhD-Level Assistant – A command-line agent for complex real-world genomics and beyond, handling workflows at the PhD level. - Privacy by Design – Run entirely offline with local LLMs—your data never leaves your computer. ✅ Proven Applications (10 Demonstrations) Computational biology: 1. ATAC-seq: From raw reads to peak matrix 2. RNA-seq: From raw reads to expression matrix 3. Complex single-cell workflows (PhD-level) 4. Hybrid natural language + R for Seurat annotation 5. Learning from web tutorials + invoking single-cell foundation models 6. Cell segmentation on 10x Genomics HD Visium data And beyond: 7. Mixed Python & R programming examples 8. Molecular docking & structural analysis 9. Exploratory factor analysis for behavioral survey data 10. Customer segmentation & finance analytics 🌐 Learn More & Get Started Website: Pantheon-CLI Documentation: GitHub Repo: 💬 Join our community: PantheonOS Slack: PantheonOS Discord:

evo-devo

17,369 次观看 • 11 个月前

This is big. NVIDIA and Apple just unlocked the next level for Vision Pro with CloudXR. Here’s what you need to know: It streams from a PC or the cloud directly to your Vision Pro. No cables. Up to 4K at 120fps. The technology is called dynamic foveated streaming. Your eyes only see in full resolution at the center of your gaze. CloudXR tracks exactly where you’re looking and delivers maximum resolution there. Everything in your periphery gets optimized. The stream stays efficient without you ever noticing a difference. Why does this matter? Vision Pro is already the most advanced spatial computer ever made. But standalone processing has a ceiling. There are workflows that need more compute than any headset can carry. CloudXR removes that ceiling by connecting Vision Pro to the full power of NVIDIA RTX in real time. This is not a workaround. It is a native visionOS integration. Also worth knowing. Gaze data never leaves your device. Not to the app. Not to the server. Developers get the full performance benefit of foveation without ever touching your raw eye tracking data. Privacy built into the architecture. Three industries are already on this: Kia, Rivian, and Volvo are running 1:1 scale design reviews with photorealistic accuracy. Full size vehicle models evaluated in spatial computing before a physical prototype exists. That is a fundamental shift in how design works. Foxconn is walking factory floors digitally, optimizing facilities before construction begins. Switch is managing data center infrastructure through a full digital twin. Companies using this approach are reporting up to 30% improvement in development processes. And sim enthusiasts finally get to cut the cord. iRacing and X-Plane 12 are the first titles. Full GeForce RTX power, streamed wirelessly to Vision Pro, inside your physical space. For developers: one Xcode template, one codebase, deployed across Vision Pro, iPhone, and iPad. And multiple headsets can share the same streamed environment at once. Some fully immersed, others on a tablet. That collaborative layer is what enterprise has been asking for. Coming this spring with visionOS 26.4. It’s wild to think about what this unlocks. The future of spatial computing is incredibly bright. Live from GTC. More coming soon.
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This is big. NVIDIA and Apple just unlocked the next level for Vision Pro with CloudXR. Here’s what you need to know: It streams from a PC or the cloud directly to your Vision Pro. No cables. Up to 4K at 120fps. The technology is called dynamic foveated streaming. Your eyes only see in full resolution at the center of your gaze. CloudXR tracks exactly where you’re looking and delivers maximum resolution there. Everything in your periphery gets optimized. The stream stays efficient without you ever noticing a difference. Why does this matter? Vision Pro is already the most advanced spatial computer ever made. But standalone processing has a ceiling. There are workflows that need more compute than any headset can carry. CloudXR removes that ceiling by connecting Vision Pro to the full power of NVIDIA RTX in real time. This is not a workaround. It is a native visionOS integration. Also worth knowing. Gaze data never leaves your device. Not to the app. Not to the server. Developers get the full performance benefit of foveation without ever touching your raw eye tracking data. Privacy built into the architecture. Three industries are already on this: Kia, Rivian, and Volvo are running 1:1 scale design reviews with photorealistic accuracy. Full size vehicle models evaluated in spatial computing before a physical prototype exists. That is a fundamental shift in how design works. Foxconn is walking factory floors digitally, optimizing facilities before construction begins. Switch is managing data center infrastructure through a full digital twin. Companies using this approach are reporting up to 30% improvement in development processes. And sim enthusiasts finally get to cut the cord. iRacing and X-Plane 12 are the first titles. Full GeForce RTX power, streamed wirelessly to Vision Pro, inside your physical space. For developers: one Xcode template, one codebase, deployed across Vision Pro, iPhone, and iPad. And multiple headsets can share the same streamed environment at once. Some fully immersed, others on a tablet. That collaborative layer is what enterprise has been asking for. Coming this spring with visionOS 26.4. It’s wild to think about what this unlocks. The future of spatial computing is incredibly bright. Live from GTC. More coming soon.

Justin Ryan

43,685 次观看 • 4 个月前