🔥 maderix/ANE is trending — and it deserves your attention.
🔗 https://github.com/maderix/ANE
📝 Training neural networks on Apple Neural Engine via reverse-engineered private APIs
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maderix/ANE is a research project that enables training neural networks directly on Apple's Neural Engine (ANE) using reverse-engineered private APIs. The project's goal is to demonstrate the possibility of training on ANE, which is currently restricted to inference-only use by Apple.
The key features of this project include a proof of concept for ANE training, benchmarks for real ANE performance characteristics, and a reference for direct ANE access outside CoreML. It supports transformer training with forward and backward passes on ANE and dW gradients on CPU.
The project uses a dynamic pipeline with shared ANE kernels, weights packed into spatial dimensions, and INT8 quantization for improved throughput. It also includes a bridge library for C-callable ANE API and a training dashboard.
The intended audience for this project is researchers and developers interested in exploring direct ANE access and training neural networks on Apple Silicon.
One major takeaway from this project is that training on ANE is possible, but it still has significant engineering challenges and limitations, and it does not replace GPU training for large models.
In short, maderix/ANE unlocks the potential of Apple's Neural Engine for training, and its findings can inspire new approaches to edge AI optimization:
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/maderix/ANE
📝 Training neural networks on Apple Neural Engine via reverse-engineered private APIs
──────────────────────────────
maderix/ANE is a research project that enables training neural networks directly on Apple's Neural Engine (ANE) using reverse-engineered private APIs. The project's goal is to demonstrate the possibility of training on ANE, which is currently restricted to inference-only use by Apple.
The key features of this project include a proof of concept for ANE training, benchmarks for real ANE performance characteristics, and a reference for direct ANE access outside CoreML. It supports transformer training with forward and backward passes on ANE and dW gradients on CPU.
The project uses a dynamic pipeline with shared ANE kernels, weights packed into spatial dimensions, and INT8 quantization for improved throughput. It also includes a bridge library for C-callable ANE API and a training dashboard.
The intended audience for this project is researchers and developers interested in exploring direct ANE access and training neural networks on Apple Silicon.
One major takeaway from this project is that training on ANE is possible, but it still has significant engineering challenges and limitations, and it does not replace GPU training for large models.
In short, maderix/ANE unlocks the potential of Apple's Neural Engine for training, and its findings can inspire new approaches to edge AI optimization:
Train on ANE, and unlock a new world of edge AI possibilities.──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔍 Deep-diving into pascalorg/editor — fresh off the trending list.
🔗 https://github.com/pascalorg/editor
📝 Create and share 3D architectural projects.
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The pascalorg/editor GitHub repository presents a 3D building editor built with React Three Fiber and WebGPU. This project is designed to provide an immersive editing experience for 3D models, with features like interactive tools, selection management, and editing capabilities.
To get started, users can install the required packages using
The core concepts of this project include nodes, which are the data primitives that describe the 3D scene, and scene state, which is managed by a Zustand store. The project also features a scene registry that maps node IDs to their Three.js objects, and node renderers that create Three.js objects for each node type.
The editor extends the viewer with additional features like tools, selection manager, and editor-specific systems. The data flow in this project involves user actions, tool handlers, and system updates, all of which are designed to work together seamlessly.
Overall, the pascalorg/editor repository offers a robust and extensible 3D building editor that can be used for a variety of applications, from architecture to game development.
One-liner takeaway: The pascalorg/editor is a powerful, open-source 3D building editor that empowers developers to create immersive, interactive 3D experiences with ease.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/pascalorg/editor
📝 Create and share 3D architectural projects.
──────────────────────────────
The pascalorg/editor GitHub repository presents a 3D building editor built with React Three Fiber and WebGPU. This project is designed to provide an immersive editing experience for 3D models, with features like interactive tools, selection management, and editing capabilities.
To get started, users can install the required packages using
npm install @pascal-app/core @pascal-app/viewer @pascal-app/editor @pascal-app/nodes, and then load the built-in plugin before mounting the Viewer component. The repository follows a modular architecture, with separate packages for the core functionality, viewer, editor, and nodes.The core concepts of this project include nodes, which are the data primitives that describe the 3D scene, and scene state, which is managed by a Zustand store. The project also features a scene registry that maps node IDs to their Three.js objects, and node renderers that create Three.js objects for each node type.
The editor extends the viewer with additional features like tools, selection manager, and editor-specific systems. The data flow in this project involves user actions, tool handlers, and system updates, all of which are designed to work together seamlessly.
Overall, the pascalorg/editor repository offers a robust and extensible 3D building editor that can be used for a variety of applications, from architecture to game development.
One-liner takeaway: The pascalorg/editor is a powerful, open-source 3D building editor that empowers developers to create immersive, interactive 3D experiences with ease.
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🧠 Channel: https://t.iss.one/GithubRe
🌟 virgiliojr94/book-to-skill caught my eye on GitHub Trending today.
🔗 https://github.com/virgiliojr94/book-to-skill
📝 Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
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book-to-skill is a tool that turns technical books, documents, and collections of sources into a unified agent skill. This skill can be used in GitHub Copilot CLI, Amp, or Claude Code, allowing you to study, reference, and use the content while you work.
The key features of book-to-skill include:
- Support for various document formats such as PDF, EPUB, DOCX, and more
- Automatic chapter detection and generation of a glossary, patterns, and cheatsheet
- The ability to update and fold new material into an existing skill
To use book-to-skill, simply run the command
book-to-skill is designed for developers, researchers, and anyone who wants to turn their technical books and documents into a structured skill that can be loaded on demand.
The technical highlights of book-to-skill include its ability to distill a book into a skill, preserving markdown tables and code blocks, and its support for various tools such as
In summary, book-to-skill is a powerful tool that helps you turn your technical books and documents into a unified agent skill, making it easier to study, reference, and use the content while you work.
With book-to-skill, you can turn any technical book into a superpower for your coding workflow.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/virgiliojr94/book-to-skill
📝 Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
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book-to-skill is a tool that turns technical books, documents, and collections of sources into a unified agent skill. This skill can be used in GitHub Copilot CLI, Amp, or Claude Code, allowing you to study, reference, and use the content while you work.
The key features of book-to-skill include:
- Support for various document formats such as PDF, EPUB, DOCX, and more
- Automatic chapter detection and generation of a glossary, patterns, and cheatsheet
- The ability to update and fold new material into an existing skill
To use book-to-skill, simply run the command
/book-to-skill <path-to-document-folder-or-glob>... [skill-name-slug] and the tool will create a full skill in your agent's skills directory. book-to-skill is designed for developers, researchers, and anyone who wants to turn their technical books and documents into a structured skill that can be loaded on demand.
The technical highlights of book-to-skill include its ability to distill a book into a skill, preserving markdown tables and code blocks, and its support for various tools such as
pdftotext, docling, and ebooklib. In summary, book-to-skill is a powerful tool that helps you turn your technical books and documents into a unified agent skill, making it easier to study, reference, and use the content while you work.
With book-to-skill, you can turn any technical book into a superpower for your coding workflow.
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🧠 Channel: https://t.iss.one/GithubRe
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Github Top Repositories
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📌 Spotted on GitHub Trending: huggingface/speech-to-speech — let's break it down.
🔗 https://github.com/huggingface/speech-to-speech
📝 Build local voice agents with open-source models
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The huggingface/speech-to-speech repository provides a fully modular voice-agent pipeline, enabling users to build voice agents with open-source models. The pipeline consists of four components: Voice Activity Detection (VAD), Speech to Text (STT), Language Model (LLM), and Text to Speech (TTS). Each component has multiple interchangeable backends, allowing for flexibility and customization.
The repository offers various run modes, including
To get started, users can install the
The huggingface/speech-to-speech repository is designed for developers and researchers interested in building voice agents with open-source models, and its modular architecture makes it an excellent choice for those looking to experiment with different components and backends.
One-liner takeaway: Build voice agents with ease using the huggingface/speech-to-speech repository, featuring a modular pipeline with interchangeable components and flexible run modes.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/huggingface/speech-to-speech
📝 Build local voice agents with open-source models
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The huggingface/speech-to-speech repository provides a fully modular voice-agent pipeline, enabling users to build voice agents with open-source models. The pipeline consists of four components: Voice Activity Detection (VAD), Speech to Text (STT), Language Model (LLM), and Text to Speech (TTS). Each component has multiple interchangeable backends, allowing for flexibility and customization.
The repository offers various run modes, including
realtime, local, websocket, and socket, catering to different use cases and requirements. The realtime mode streams audio over a WebSocket using the OpenAI Realtime protocol, providing live transcription and low-latency turn-taking.To get started, users can install the
speech-to-speech package using pip install speech-to-speech and then run the pipeline in realtime mode. The repository also provides a local mode for direct interaction with the pipeline, as well as websocket and socket modes for custom client connections.The huggingface/speech-to-speech repository is designed for developers and researchers interested in building voice agents with open-source models, and its modular architecture makes it an excellent choice for those looking to experiment with different components and backends.
One-liner takeaway: Build voice agents with ease using the huggingface/speech-to-speech repository, featuring a modular pipeline with interchangeable components and flexible run modes.
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🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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⚡ microsoft/AI-For-Beginners is making waves. Here's the full picture.
🔗 https://github.com/microsoft/AI-For-Beginners
📝 12 Weeks, 24 Lessons, AI for All!
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The microsoft/AI-For-Beginners repo is a 12-week, 24-lesson curriculum that introduces the world of Artificial Intelligence (AI) in a beginner-friendly way. It covers tools like
To get started, you can clone the repository locally, and to speed up the download, you can use sparse checkout to exclude translations. The curriculum is divided into sections, including Introduction to AI, Symbolic AI, and Introduction to Neural Networks.
You'll learn about different approaches to AI, including Knowledge Representation and Neural Networks, and get hands-on experience with popular frameworks. The repo also provides additional resources, including a
Whether you're a student or a professional looking to get started with AI, this curriculum is a great place to begin - and with its extensive language support, it's accessible to learners all around the world.
Dive into the world of AI with microsoft/AI-For-Beginners - your one-stop-shop for AI learning!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/microsoft/AI-For-Beginners
📝 12 Weeks, 24 Lessons, AI for All!
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The microsoft/AI-For-Beginners repo is a 12-week, 24-lesson curriculum that introduces the world of Artificial Intelligence (AI) in a beginner-friendly way. It covers tools like
TensorFlow and PyTorch, as well as ethics in AI. The curriculum includes practical lessons, quizzes, and labs, and is available in over 50 languages. To get started, you can clone the repository locally, and to speed up the download, you can use sparse checkout to exclude translations. The curriculum is divided into sections, including Introduction to AI, Symbolic AI, and Introduction to Neural Networks.
You'll learn about different approaches to AI, including Knowledge Representation and Neural Networks, and get hands-on experience with popular frameworks. The repo also provides additional resources, including a
Mindmap of the Course and links to further learning paths.Whether you're a student or a professional looking to get started with AI, this curriculum is a great place to begin - and with its extensive language support, it's accessible to learners all around the world.
Dive into the world of AI with microsoft/AI-For-Beginners - your one-stop-shop for AI learning!
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🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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⚡ paperswithbacktest/awesome-systematic-trading is making waves. Here's the full picture.
🔗 https://github.com/paperswithbacktest/awesome-systematic-trading
📝 A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
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The paperswithbacktest/awesome-systematic-trading GitHub repository is a treasure trove for quantitative traders, offering a vast collection of resources to develop and refine systematic trading strategies. With 97 libraries and packages, 40+ strategies, 55 books, 23 videos, and more, this repo is a one-stop-shop for traders of all levels.
Key features include
Technical highlights include the use of
This repo is perfect for quantitative traders, data scientists, and financial analysts looking to elevate their trading game. So, dive in and explore the world of systematic trading!
Takeaway: Systematic trading just got a whole lot easier with paperswithbacktest/awesome-systematic-trading - your ultimate resource for quantitative trading success!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/paperswithbacktest/awesome-systematic-trading
📝 A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
──────────────────────────────
The paperswithbacktest/awesome-systematic-trading GitHub repository is a treasure trove for quantitative traders, offering a vast collection of resources to develop and refine systematic trading strategies. With 97 libraries and packages, 40+ strategies, 55 books, 23 videos, and more, this repo is a one-stop-shop for traders of all levels.
Key features include
backtesting and live trading frameworks, event-driven and vector-based systems, as well as resources for cryptocurrencies, data science, and machine learning. The repo's Python dominance is evident, with many popular libraries like vnpy, zipline, and backtrader featured prominently.Technical highlights include the use of
Numba for acceleration and pandas for data manipulation. The community can contribute by submitting issues and sharing resources on social media.This repo is perfect for quantitative traders, data scientists, and financial analysts looking to elevate their trading game. So, dive in and explore the world of systematic trading!
Takeaway: Systematic trading just got a whole lot easier with paperswithbacktest/awesome-systematic-trading - your ultimate resource for quantitative trading success!
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🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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🌟 different-ai/openwork caught my eye on GitHub Trending today.
🔗 https://github.com/different-ai/openwork
📝 The open-source alternative to Claude Cowork (powered by opencode)
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OpenWork is a free, open-source desktop app for sharing AI workflows across macOS, Windows, and Linux. It's designed to be an alternative to other platforms like Claude Cowork and Codex. With OpenWork, you can add a single MCP to your existing AI agent, such as Codex, Claude Code, or Cursor, and reuse skills, MCPs, and connected services across different tools, teammates, and machines.
Key features include a dedicated desktop app, an admin interface for managing access and publishing capabilities, and the ability to create and share workflows with coworkers or friends. You can also use OpenWork from within your existing AI agent, without needing to launch the desktop app.
To get started, you can
From a technical perspective, OpenWork provides a remote MCP server URL that can be used with any compatible agent. It also includes tools like
OpenWork Den is the control plane for managing OpenWork across teams or organizations, allowing you to provision inference at scale, control access, and publish skills and plugins.
The target audience for OpenWork includes individuals and organizations looking to share AI workflows and collaborate on projects.
In short, OpenWork is all about streamlining AI workflow collaboration - and with its open-source approach, it's poised to democratize access to AI capabilities. Unlock the power of AI collaboration with OpenWork!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/different-ai/openwork
📝 The open-source alternative to Claude Cowork (powered by opencode)
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OpenWork is a free, open-source desktop app for sharing AI workflows across macOS, Windows, and Linux. It's designed to be an alternative to other platforms like Claude Cowork and Codex. With OpenWork, you can add a single MCP to your existing AI agent, such as Codex, Claude Code, or Cursor, and reuse skills, MCPs, and connected services across different tools, teammates, and machines.
Key features include a dedicated desktop app, an admin interface for managing access and publishing capabilities, and the ability to create and share workflows with coworkers or friends. You can also use OpenWork from within your existing AI agent, without needing to launch the desktop app.
To get started, you can
install OpenWork using a simple prompt in your AI agent, which will set up your first workspace and open it for use. You can also add the OpenWork MCP to your agent using codex mcp add openwork or claude mcp add commands.From a technical perspective, OpenWork provides a remote MCP server URL that can be used with any compatible agent. It also includes tools like
search_capabilities and execute_capability to find and run available capabilities.OpenWork Den is the control plane for managing OpenWork across teams or organizations, allowing you to provision inference at scale, control access, and publish skills and plugins.
The target audience for OpenWork includes individuals and organizations looking to share AI workflows and collaborate on projects.
In short, OpenWork is all about streamlining AI workflow collaboration - and with its open-source approach, it's poised to democratize access to AI capabilities. Unlock the power of AI collaboration with OpenWork!
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🧠 Channel: https://t.iss.one/GithubRe
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🎯 WhiskeySockets/Baileys landed on trending. Worth a proper look.
🔗 https://github.com/WhiskeySockets/Baileys
📝 Socket-based TS/JavaScript API for WhatsApp Web
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Baileys is a TypeScript library that lets you interact with the WhatsApp Web API using WebSockets. It's designed to be efficient and doesn't require Selenium or a browser to work. With Baileys, you can send messages, media, and more, and even handle events like message receipts and presence updates. The library is not affiliated with WhatsApp and should be used responsibly.
To get started, you can
Baileys has a lot of key features, including support for multi-device and web versions of WhatsApp, and the ability to send and receive messages, media, and other content. The library also provides a range of technical highlights, including automatic caching of group metadata, improved retry systems, and support for decrypting poll votes.
The library is suitable for developers of all levels, from beginners to experienced developers, and is well-documented with a comprehensive wiki and example code.
To use Baileys, simply
One-liner takeaway: Automate your WhatsApp interactions with Baileys, a powerful and efficient TypeScript library that's a game-changer for chatbots and more!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/WhiskeySockets/Baileys
📝 Socket-based TS/JavaScript API for WhatsApp Web
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Baileys is a TypeScript library that lets you interact with the WhatsApp Web API using WebSockets. It's designed to be efficient and doesn't require Selenium or a browser to work. With Baileys, you can send messages, media, and more, and even handle events like message receipts and presence updates. The library is not affiliated with WhatsApp and should be used responsibly.
To get started, you can
import makeWASocket from '@whiskeysockets/baileys' and create a socket instance with your preferred configuration. You can then use the socket to authenticate with WhatsApp using a QR code or pairing code. Baileys has a lot of key features, including support for multi-device and web versions of WhatsApp, and the ability to send and receive messages, media, and other content. The library also provides a range of technical highlights, including automatic caching of group metadata, improved retry systems, and support for decrypting poll votes.
The library is suitable for developers of all levels, from beginners to experienced developers, and is well-documented with a comprehensive wiki and example code.
To use Baileys, simply
yarn add @whiskeysockets/baileys and start building your WhatsApp-based application. One-liner takeaway: Automate your WhatsApp interactions with Baileys, a powerful and efficient TypeScript library that's a game-changer for chatbots and more!
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🧠 Channel: https://t.iss.one/GithubRe
❤1
🚀 Meet pascalorg/editor: a gem from today's GitHub trending list.
🔗 https://github.com/pascalorg/editor
📝 Create and share 3D architectural projects.
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The pascalorg/editor is a 3D building editor built with React Three Fiber and WebGPU, designed to provide a seamless editing experience for users. Its key features include a
To get started with the editor, you can install the required packages using
The editor is built using a range of technologies, including
Overall, the pascalorg/editor is a powerful and flexible 3D building editor that provides a range of features and tools for users. Whether you're a developer looking to build a custom plugin or a user looking to create 3D buildings, the editor has something to offer. So why wait? Dive in and start building today - the pascalorg/editor is the ultimate tool for unleashing your creativity and bringing your 3D vision to life!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/pascalorg/editor
📝 Create and share 3D architectural projects.
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The pascalorg/editor is a 3D building editor built with React Three Fiber and WebGPU, designed to provide a seamless editing experience for users. Its key features include a
Node system for describing 3D scenes, a Scene State store for managing scene data, and a Scene Registry for fast lookup of Three.js objects. The editor uses a Separation of Concerns approach, with separate packages for core, viewer, editor, and nodes. To get started with the editor, you can install the required packages using
npm install, and then load the built-in plugin using loadPlugin. The editor also provides a range of tools and systems, including WallTool, ZoneTool, and ItemTool, as well as custom camera controls and a spatial grid manager.The editor is built using a range of technologies, including
React 19, Next.js 16, Three.js, and Turborepo. To develop and build the editor, you can use bun install and bun dev to enable hot reload for all packages.Overall, the pascalorg/editor is a powerful and flexible 3D building editor that provides a range of features and tools for users. Whether you're a developer looking to build a custom plugin or a user looking to create 3D buildings, the editor has something to offer. So why wait? Dive in and start building today - the pascalorg/editor is the ultimate tool for unleashing your creativity and bringing your 3D vision to life!
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🧠 Channel: https://t.iss.one/GithubRe
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Github Top Repositories
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🔍 Deep-diving into mvanhorn/last30days-skill — fresh off the trending list.
🔗 https://github.com/mvanhorn/last30days-skill
📝 AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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Introducing /last30days, an AI agent-led search engine that searches people, not editors. This innovative tool scores results by upvotes, likes, and real money, providing a unique perspective on what's currently trending.
Key features include zero-config installation, support for various platforms such as Reddit, X, YouTube, and GitHub, and the ability to search across multiple sources in parallel. The engine synthesizes results into a brief, making it easier to stay informed about the latest developments.
To
or
Technical highlights include the use of AI agents to judge and rank results, as well as the integration of various data sources, such as Polymarket odds and GitHub commits.
Audience benefits from /last30days include staying up-to-date on the latest news and trends, gaining insights into what people are actually talking about, and making informed decisions based on real-time data.
In a nutshell, /last30days is a game-changer for anyone looking to stay informed and ahead of the curve - it's like having a superpower in your pocket.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/mvanhorn/last30days-skill
📝 AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
──────────────────────────────
Introducing /last30days, an AI agent-led search engine that searches people, not editors. This innovative tool scores results by upvotes, likes, and real money, providing a unique perspective on what's currently trending.
Key features include zero-config installation, support for various platforms such as Reddit, X, YouTube, and GitHub, and the ability to search across multiple sources in parallel. The engine synthesizes results into a brief, making it easier to stay informed about the latest developments.
To
install /last30days, you can use the following commands:/plugin marketplace add mvanhorn/last30days-skill
/plugin install last30days
or
npx skills add mvanhorn/last30days-skill -g
Technical highlights include the use of AI agents to judge and rank results, as well as the integration of various data sources, such as Polymarket odds and GitHub commits.
Audience benefits from /last30days include staying up-to-date on the latest news and trends, gaining insights into what people are actually talking about, and making informed decisions based on real-time data.
In a nutshell, /last30days is a game-changer for anyone looking to stay informed and ahead of the curve - it's like having a superpower in your pocket.
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🧠 Channel: https://t.iss.one/GithubRe
🌟 dotnet/aspnetcore caught my eye on GitHub Trending today.
🔗 https://github.com/dotnet/aspnetcore
📝 ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
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The ASP.NET Core GitHub repository offers an open-source and cross-platform framework for building modern, cloud-based applications. Key features include modular components with minimal overhead, allowing for flexible solution construction. To get started, follow the
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/dotnet/aspnetcore
📝 ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
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The ASP.NET Core GitHub repository offers an open-source and cross-platform framework for building modern, cloud-based applications. Key features include modular components with minimal overhead, allowing for flexible solution construction. To get started, follow the
Getting Started instructions. ASP.NET Core apps run on .NET, a free, cross-platform application runtime. You can develop and run your apps on Windows, Mac, and Linux. This repository is ideal for developers looking to build web apps, IoT apps, and mobile backends. With a strong focus on community engagement, you can contribute by trying out daily builds, filing issues, and making pull requests. Build your skills with daily builds, documentation, and community standups. One-liner takeaway: ASP.NET Core empowers you to build cutting-edge, cloud-connected applications that run seamlessly across platforms.──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
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📌 Spotted on GitHub Trending: microsoft/PowerToys — let's break it down.
🔗 https://github.com/microsoft/PowerToys
📝 Microsoft PowerToys is a collection of utilities that supercharge productivity and customization on Windows
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The Microsoft PowerToys is a collection of utilities that help you customize Windows and streamline everyday tasks. With over 30 utilities, you can optimize your Windows experience.
Key features include Advanced Paste, Always on Top, Awake, Color Picker, and more. To get started, you can install PowerToys via
The PowerToys team welcomes contributions of all types, including coding, spec writing, design, and documentation. They have a Contributor's Guide and developer docs to help you get started.
The PowerToys is for power users who want to get the most out of Windows. With its customizable and extensible features, it's a must-have for anyone looking to streamline their workflow.
In short, PowerToys is a game-changer for Windows users - supercharge your productivity with PowerToys!
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/microsoft/PowerToys
📝 Microsoft PowerToys is a collection of utilities that supercharge productivity and customization on Windows
──────────────────────────────
The Microsoft PowerToys is a collection of utilities that help you customize Windows and streamline everyday tasks. With over 30 utilities, you can optimize your Windows experience.
Key features include Advanced Paste, Always on Top, Awake, Color Picker, and more. To get started, you can install PowerToys via
GitHub, Microsoft Store, or WinGet. The PowerToys team welcomes contributions of all types, including coding, spec writing, design, and documentation. They have a Contributor's Guide and developer docs to help you get started.
The PowerToys is for power users who want to get the most out of Windows. With its customizable and extensible features, it's a must-have for anyone looking to streamline their workflow.
In short, PowerToys is a game-changer for Windows users - supercharge your productivity with PowerToys!
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🧠 Channel: https://t.iss.one/GithubRe
❤1
🚀 Meet ansible/ansible: a gem from today's GitHub trending list.
🔗 https://github.com/ansible/ansible
📝 Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems.https://docs.ansible.com.
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Ansible is a simple IT automation system that handles configuration management, application deployment, and more. Its key features include a minimal learning curve, agentless architecture, and the ability to describe infrastructure in a human-friendly language. To get started with Ansible, you can install it using
The
Technical highlights of Ansible include its ability to manage machines in parallel, leverage existing SSH daemons, and allow module development in any dynamic language. The project is written in a variety of languages, including
Audience for Ansible includes IT professionals, developers, and anyone looking to automate their infrastructure and applications. Whether you're a power user or just starting out, Ansible has the features and community support to help you get started.
One-liner takeaway: Ansible simplifies IT automation, making it easy to manage complex infrastructure and applications with its simple, agentless, and secure approach.
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🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/ansible/ansible
📝 Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems.https://docs.ansible.com.
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Ansible is a simple IT automation system that handles configuration management, application deployment, and more. Its key features include a minimal learning curve, agentless architecture, and the ability to describe infrastructure in a human-friendly language. To get started with Ansible, you can install it using
pip or a package manager, and then begin using it to automate your IT tasks.The
devel branch of Ansible offers the latest features and fixes, but may be less stable than released versions. The project has a strong focus on security, ease of use, and community involvement, with many ways to get help, including the Ansible forum and social spaces. Technical highlights of Ansible include its ability to manage machines in parallel, leverage existing SSH daemons, and allow module development in any dynamic language. The project is written in a variety of languages, including
Python, and has a substantial codebase.Audience for Ansible includes IT professionals, developers, and anyone looking to automate their infrastructure and applications. Whether you're a power user or just starting out, Ansible has the features and community support to help you get started.
One-liner takeaway: Ansible simplifies IT automation, making it easy to manage complex infrastructure and applications with its simple, agentless, and secure approach.
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🧠 Channel: https://t.iss.one/GithubRe
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