🔍 Deep-diving into ZhuLinsen/daily_stock_analysis — fresh off the trending list.

🔗 https://github.com/ZhuLinsen/daily_stock_analysis
📝 LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
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Daily Stock Analysis is an open-source project that provides a comprehensive daily stock analysis system. The system utilizes AI models to analyze stocks and provide decision-making reports.

Key Features:
- AI decision-making reports
- Multi-market data aggregation
- Web and desktop workspaces
- Agent strategy inquiry
- Intelligent import and completion
- Automation and push notifications

The system supports various AI models, including Anspire, AIHubMix, and OpenAI. It also aggregates data from multiple markets, including A-share, Hong Kong stocks, US stocks, and more.

Technical Highlights:
- The system uses Python 3.10+ and supports Docker and GitHub Actions.
- It provides a web interface for configuration management, task monitoring, and manual analysis.

Audience:
- The project is suitable for individual investors, financial analysts, and researchers who want to utilize AI-powered stock analysis.

To get started, users can fork the repository and configure the secrets, or they can use the client configuration tutorial.

python main.py --debug

One-liner Takeaway: Daily Stock Analysis is a powerful open-source tool that leverages AI to provide comprehensive daily stock analysis and decision-making reports, making it an excellent resource for investors and researchers alike.

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🧠 Channel: https://xn--r1a.website/GithubRe

💡 apple/container just hit the trending charts — here's why it matters.

🔗 https://github.com/apple/container
📝 A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
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The apple/container GitHub repo is home to a powerful tool that lets you create and run Linux containers on your Mac, leveraging the power of Apple silicon. Written in Swift, this tool is optimized for performance and supports OCI-compatible container images, making it easy to pull and run images from standard container registries.

To get started, you'll need a Mac with Apple silicon and macOS 26 or later. The container tool uses the Containerization Swift package for low-level management.

You can start, stop, and update the container system service using simple commands. The repo also provides a guided tour and technical overview to help you understand the tool's capabilities.

The project is under active development, and contributions are welcome. Whether you're a seasoned developer or just curious, container is definitely worth exploring. Here's a simple example of how to start the system service:

container system start

One-liner takeaway: Experience the power of Linux containers on your Mac with the apple/container tool, and take your development to the next level!

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🧠 Channel: https://xn--r1a.website/GithubRe

⚡ interviewstreet/hiring-agent is making waves. Here's the full picture.

🔗 https://github.com/interviewstreet/hiring-agent
📝 AI agent to evaluate and score resumes.
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The Hiring Agent is a Resume-to-Score pipeline that extracts structured data from PDFs, enriches it with GitHub signals, and outputs a fair, explainable evaluation. It's designed to be used by recruiters, hiring managers, or anyone looking to streamline their candidate evaluation process.

The pipeline works by first converting a resume PDF to Markdown-like text using pymupdf_rag.py and pdf.py. It then uses a local or hosted Large Language Model (LLM) to extract sectioned JSON data. The data is further enriched with GitHub profile and repository signals using github.py.

The evaluation process involves running a strict-scored evaluation with fairness constraints using evaluator.py. The final output includes category scores, evidence, bonus points, and deductions.

To use the Hiring Agent, you'll need to install the required dependencies using pip install -r requirements.txt and set up your environment variables. You can choose to use either the Ollama or Gemini LLM provider.

One of the key technical highlights of the Hiring Agent is its use of Pydantic schemas and LLM provider interfaces in models.py. The pipeline also includes a set of Jinja templates for extraction and scoring, which can be found in the prompts/ directory.

Overall, the Hiring Agent is a powerful tool for anyone looking to automate their candidate evaluation process. With its flexible architecture and easy-to-use interface, it's an ideal solution for recruiters and hiring managers alike.

So, what are you waiting for? Automate your hiring process with the Hiring Agent and start finding the best candidates for your team!

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🧠 Channel: https://xn--r1a.website/GithubRe

🔍 Deep-diving into JCodesMore/ai-website-cloner-template — fresh off the trending list.

🔗 https://github.com/JCodesMore/ai-website-cloner-template
📝 Clone any website with one command using AI coding agents
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Ai Website Cloner Template is an innovative, open-source project that enables you to reverse-engineer any website into a clean, modern Next.js codebase using AI coding agents. This template is designed to work with a variety of AI agents, with Claude Code being the recommended choice for the best results.

To get started, simply create a copy of the template repository, install the dependencies, start your AI agent, and run the /clone-website skill with the target URL. The template will then inspect the site, extract design tokens and assets, write component specs, and dispatch parallel builders to reconstruct every section.

The project features a multi-phase pipeline that includes reconnaissance, foundation, component specs, parallel build, and assembly & QA. It supports various AI coding agents, including Claude Code, Codex CLI, and GitHub Copilot, among others.

The template is ideal for platform migration, lost source code, and learning purposes. However, it is not intended for phishing or impersonation, passing off someone's design as your own, or violating terms of service.

In terms of technical highlights, the project uses Next.js 16, React 19, and TypeScript strict, along with shadcn/ui and Tailwind CSS v4 for styling.

Overall, the Ai Website Cloner Template is a powerful tool that can help you create a modern, clean codebase for any website, and its potential impact on the web development community is significant.

You can clone any website with just one command: /clone-website - the future of web development just got a whole lot easier.

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🧠 Channel: https://xn--r1a.website/GithubRe

📌 Spotted on GitHub Trending: revfactory/harness — let's break it down.

🔗 https://github.com/revfactory/harness
📝 A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
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The revfactory/harness GitHub repository is home to Harness, a team-architecture factory for Claude Code that revolutionizes how complex tasks are approached by decomposing them into coordinated teams of specialized agents. With Harness, users can simply prompt Build a harness for this project and see their domain description transformed into an agent team and the skills they utilize, chosen from six pre-defined team-architecture patterns: Pipeline, Fan-out/Fan-in, Expert Pool, Producer-Reviewer, Supervisor, and Hierarchical Delegation.

Key Features include agent team design, skill generation with Progressive Disclosure for efficient context management, orchestration for inter-agent data passing and error handling, and validation through trigger verification, dry-run testing, and comparison tests. The plugin structure is well-organized, with a clear plugin.json manifest and skill directories for easy installation and use.

To start, users can install Harness via the marketplace with /plugin marketplace add revfactory/harness followed by /plugin install harness@harness-marketplace, or directly as a global skill. The workflow involves domain analysis, team architecture design, agent definition generation, skill generation, integration, and validation.

Harness is particularly useful for a variety of projects and tasks, including deep research, website development, webtoon/comic production, YouTube content planning, code review, technical documentation, data pipeline design, and marketing campaigns. It coexists with other tools like Archon for deterministic runtime configurations and meta-harness for Codex runtime, offering a comprehensive approach to team architecture and workflow management.

The takeaway? Harness is a game-changer for anyone working with complex tasks and agent teams, offering +60% average quality improvement and a 100% win rate in controlled experiments. So why not give it a try and see how Harness can transform your workflow? Build a harness for your next project and experience the power of structured team architecture!

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🧠 Channel: https://xn--r1a.website/GithubRe

🔥 flutter/flutter is trending — and it deserves your attention.

🔗 https://github.com/flutter/flutter
📝 Flutter makes it easy and fast to build beautiful apps for mobile and beyond
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The Flutter project is Google's SDK for crafting beautiful, fast user experiences for mobile, web, and desktop from a single codebase. It's free, open-source, and works with existing code.

Key features include a layered architecture for control over every pixel on the screen, a set of widgets for pixel-perfect experiences, and support for customizing or creating new visual components.

To get started with Flutter, you can install Flutter and explore the Flutter documentation. The project is suitable for developers and organizations targeting iOS, Android, web, Windows, macOS, or Linux.

From a technical standpoint, Flutter is powered by hardware-accelerated 2D graphics libraries like Skia and Impeller, and it's built on top of the Dart programming language.

Flutter offers a range of tools and features to support productive development, including stateful hot reload, editor plug-ins, and tens of thousands of packages.

Overall, Flutter is a powerful and flexible framework for building fast, beautiful apps - and with its open development model, the possibilities are endless: build one app, deploy anywhere.

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🧠 Channel: https://xn--r1a.website/GithubRe

🚀 Meet andreknieriem/headunit-revived: a gem from today's GitHub trending list.

🔗 https://github.com/andreknieriem/headunit-revived
📝 Headunit App for displaying Android Auto
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The Headunit Revived project is an Android app that transforms your tablet or phone into an Android Auto receiver. It's a revived version of the original headunit project by Michael Reid. The app allows for wired USB connections and wireless connections via a companion app called Wireless Helper.

To use the app, simply connect your phone to the tablet running Headunit Revived via USB or wirelessly using the Wireless Helper app. The app supports various connection methods, including USB, Wi-Fi Direct, and Bluetooth.

Some key features include:
- Customizable UI with settings for pixel density, audio focus, and more
- Support for multiple languages, including English, Vietnamese, and Japanese
- Wireless connection options, including Wi-Fi Direct and Bluetooth

The app is suitable for power users who want to customize their Android Auto experience and for those who need a reliable wireless connection.

One-liner takeaway: Turn your Android device into an Android Auto receiver with Headunit Revived, a customizable and feature-rich app that simplifies your in-car entertainment experience.

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🧠 Channel: https://xn--r1a.website/GithubRe