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GitHub Hot — 11 July 2026

11 July 2026·14 min readGitHubOpen SourceTools

Top 10 repos trending on GitHub this week — what they do, why they matter, and how to use them in your projects.


1. withmarbleapp/os-taxonomy

2,347 stars this week · JavaScript

This repo provides a structured, graph-based taxonomy of primary/elementary school learning topics, enabling precise tracking of educational prerequisites and progress.

Use case

For an AI-powered personal blog, this taxonomy can be used to create a 'learning path' feature that maps out prerequisites for complex topics, helping readers understand foundational knowledge. For example, if Henry writes about advanced mathematics, he can visualize the prerequisite concepts readers should master first.

Why it's trending

It's trending because of the growing interest in structured educational data for AI-driven learning platforms and personalized education tools.

How to use it

  1. Clone the repository: git clone https://github.com/withmarbleapp/os-taxonomy.git,2. Explore the data in the data/ directory to understand the structure of micro-topics and prerequisites.,3. Use the provided visualization tools or integrate the data into your own graph visualization library to display learning paths.,4. For a Next.js app, import the data and use a library like react-force-graph to render the prerequisite graph.,5. Create a feature that allows users to select a topic and see its prerequisites and aligned curriculum standards.

How I could use this

  1. Create a blog feature called 'Learning Prerequisites' where readers can explore the foundational knowledge required for advanced topics discussed in Henry's posts.
  2. Build a 'Skill Mapper' tool for Henry's portfolio that aligns his projects with educational standards, showcasing his expertise in a structured, curriculum-aligned way.
  3. Develop an AI feature that recommends blog topics based on the taxonomy, suggesting posts that build on previously covered concepts to create a cohesive learning journey for readers.

2. Shpigford/knockoff

1,757 stars this week · JavaScript · amazon browser-extension chrome-extension

Knockoff is a browser extension that filters out low-quality, pseudo-brand products from Amazon search results, helping users find genuine brands.

Use case

When searching for products on Amazon, users often encounter numerous listings from obscure, low-quality brands that clutter search results. Knockoff solves this by identifying and filtering out these pseudo-brands, making it easier to find reputable products. For example, if you're looking for a reliable kitchen appliance, Knockoff will hide or dim listings from brands like 'SZHLUX' or 'HORUSDY,' which are often of questionable quality.

Why it's trending

This repo is trending due to recent media coverage highlighting the growing issue of counterfeit and low-quality products on Amazon, making tools like Knockoff increasingly relevant for consumers.

How to use it

Install the extension from the Chrome Web Store or Firefox Add-ons.,Navigate to Amazon and perform a search.,Knockoff will automatically filter out pseudo-brand listings, either hiding, dimming, or labeling them.,Customize the filtering options in the extension settings to suit your preferences.

How I could use this

  1. Henry could write a blog post about the technical challenges of building a browser extension that interacts with dynamic content on a large e-commerce site like Amazon, sharing insights and solutions.
  2. Henry could create a career tool that filters out low-quality job listings or companies on job boards, similar to how Knockoff filters out pseudo-brands on Amazon.
  3. Henry could integrate a similar filtering mechanism into his AI-powered blog to curate high-quality content, ensuring that only reputable sources and well-written articles are highlighted.

3. MaximeRivest/riddle

1,395 stars this week · Rust

This repo enables handwritten AI interactions on a reMarkable tablet, blending analog note-taking with digital AI responses.

Use case

For professionals who prefer handwritten notes but want AI assistance, this solves the friction of switching between paper and digital tools. For example, a researcher could jot down ideas during a meeting and have the AI instantly summarize or expand on them without breaking their workflow.

Why it's trending

The reMarkable Paper Pro is gaining traction among professionals for its paper-like experience, and this repo bridges the gap between analog and AI-driven workflows, making it timely for developers exploring hybrid productivity tools.

How to use it

  1. Ensure your reMarkable Paper Pro is in developer mode with a launcher installed using remagic: remagic install riddle,2. Configure riddle with your OpenAI API key: remagic config riddle,3. In AppLoad, tap Reload, then The Diary. Write a question or note, pause, and watch the AI respond in handwritten form.,4. (Optional) Customize the AI model or prompts by editing the oracle.env file in the riddle directory.

How I could use this

  1. Henry could integrate this into his blog to allow readers to submit handwritten questions or comments, which the AI could then respond to in a personalized, handwritten style, creating a unique interactive experience.
  2. For career tools, Henry could use this to build a handwritten resume reviewer: users write their resume by hand, and the AI provides real-time feedback or suggestions directly on the page.
  3. For AI features, Henry could extend this to create a 'handwritten brainstorming' tool where users jot down ideas, and the AI collaboratively expands or refines them in real-time, mimicking a live brainstorming session.

4. oso95/scroll-world

826 stars this week · JavaScript

This repo creates immersive, scroll-scrubbed 3D landing pages that transform static brand content into dynamic, engaging experiences.

Use case

It solves the problem of static, unengaging landing pages by converting them into interactive 3D worlds that users can explore through scrolling. For example, a logistics company can showcase their global operations with a continuous camera flight through warehouses, trucks, and delivery routes, making their services more visually compelling.

Why it's trending

It's trending because of the growing demand for interactive and visually engaging web experiences, coupled with the recent advancements in AI-generated 3D content and the popularity of tools like Higgsfield.

How to use it

Install the skill via the Claude Code marketplace: /plugin marketplace add oso95/scroll-world,Invoke the skill with /scroll-world and provide the brand or industry details.,Ensure you have the Higgsfield CLI installed and authenticated, along with ffmpeg for frame extraction.,Use the generated 3D world in your landing page by integrating the provided assets and scripts.,Customize the scenes and camera flights as needed using the Higgsfield tools.

How I could use this

  1. Create a 3D scrollable world for your blog's homepage, where each section represents a different category or post, making navigation more engaging and visually appealing.
  2. Develop an interactive resume or portfolio where scrolling through different sections reveals 3D representations of your skills, projects, and experiences.
  3. Integrate AI-generated 3D worlds into your blog posts to illustrate complex concepts or data visualizations, enhancing reader engagement and understanding.

5. 514-labs/dnsglobe

813 stars this week · Rust · cli dns dns-checker dns-propagation

dnsglobe is a Rust-based TUI tool that checks global DNS propagation in real-time, helping developers verify DNS changes across 34 worldwide resolvers directly from their terminal.

Use case

When deploying a new website or updating DNS records, developers often face delays and inconsistencies in DNS propagation. dnsglobe solves this by providing a real-time, visual representation of DNS record propagation across multiple global resolvers. For example, if Henry updates the DNS records for his personal blog, he can use dnsglobe to monitor the propagation status and ensure the changes are consistently applied worldwide.

Why it's trending

dnsglobe is trending due to its unique combination of Rust performance, TUI interactivity, and the practical need for real-time DNS propagation checking. The recent focus on terminal-based tools and the growing importance of DNS management in modern web development have also contributed to its popularity.

How to use it

Install dnsglobe using cargo: cargo install dnsglobe,Run dnsglobe with the domain and record type you want to check: dnsglobe example.com A,Monitor the real-time propagation status in your terminal, with a world map showing the status of each resolver.,Use the watch mode to continuously poll until the record has propagated everywhere: dnsglobe --watch example.com A,Analyze the results to ensure consistent DNS propagation across all resolvers.

How I could use this

  1. Henry could integrate dnsglobe into his blog's deployment pipeline to automatically verify DNS changes, ensuring his readers always access the latest content without delays.
  2. For career tools, Henry could use dnsglobe to demonstrate his proficiency in DNS management and Rust development, showcasing his ability to use advanced tools for real-world problems.
  3. In AI projects, Henry could leverage dnsglobe's real-time data to train models that predict DNS propagation times or identify anomalies in global DNS resolver behavior.

6. Robbyant/lingbot-world-v2

785 stars this week · Python

LingBot-World v2 enables real-time, interactive AI-generated worlds with diverse actions and events, ideal for immersive storytelling and simulations.

Use case

This solves the problem of creating dynamic, interactive environments for applications like AI-driven storytelling, game development, or virtual training simulations. For example, a developer could use it to generate a real-time interactive world where users can engage in diverse actions like archery or spell-casting, enhancing user engagement and immersion.

Why it's trending

It's trending due to its advanced capabilities in real-time interaction and diverse event generation, making it highly relevant for developers looking to create immersive, interactive experiences.

How to use it

  1. Visit the Project Page to understand the capabilities and see demos.,2. Download the model from HuggingFace or ModelScope.,3. Install the required dependencies using pip:, bash, pip install -r requirements.txt, ,4. Run the provided example scripts to generate interactive worlds and integrate them into your application.

How I could use this

  1. Henry could use LingBot-World v2 to create an interactive storytelling feature on his blog, where readers can influence the narrative through diverse actions and events.
  2. For career tools, Henry could develop a virtual interview simulator where users can practice different scenarios in a dynamic, interactive environment.
  3. In AI features, Henry could integrate LingBot-World v2 to generate real-time, interactive worlds for AI-driven tutorials or educational content, making learning more engaging and immersive.

7. x4gKing/3x-ui-Upgrade

774 stars this week · HTML

This repo provides a single-port deployment of Heimdall (a 3x-ui fork) with Nginx reverse proxy on Railway, simplifying VLESS/WebSocket proxy setups.

Use case

Solves the problem of deploying a proxy panel with subscription and inbound VLESS/WebSocket through a single port, which is particularly useful for developers needing a streamlined, low-configuration proxy setup. For example, a developer needing a quick, secure proxy for testing or small-scale applications without managing multiple ports.

Why it's trending

Trending due to the increasing need for simplified, single-port proxy solutions and the popularity of Railway for easy deployments.

How to use it

  1. Create a new GitHub repository and add the Dockerfile, nginx.conf.template, and start.sh files.,2. Deploy the repository on Railway by selecting 'New Project → Deploy from GitHub repo'.,3. Configure the Railway project settings to use port 3000 and generate a domain.,4. Access the panel at https://your-domain.up.railway.app/managepanel/ with default credentials admin/admin.,5. Create an inbound with VLESS protocol, port 8080, and a custom path like /cdn.

How I could use this

  1. Henry could use this setup to create a secure, single-port proxy for his blog's backend services, ensuring secure and efficient data transfer.
  2. For career tools, Henry could deploy a proxy to securely manage and test different versions of his resume or portfolio without exposing multiple ports.
  3. In AI projects, Henry could use this proxy to manage and secure API calls to different AI services, ensuring that all traffic is routed through a single, secure port.

8. simonlin1212/Vibe-Research

721 stars this week · TypeScript · a-stock ai-agent dashboard fastapi

Vibe-Research is an open-source AI-powered trading research dashboard that aggregates stock data (A-shares, US, HK) and lets you plug in your own AI models for analysis.

Use case

It solves the problem of fragmented stock research tools by providing a unified dashboard with daily market reviews, stock data, news radar, and portfolio tracking. For example, a trader can use it to monitor A-shares while keeping an eye on overnight US market trends and then apply their own AI models to analyze the data.

Why it's trending

It's trending due to the rising interest in AI-driven financial analysis and the recent volatility in global markets, making tools that aggregate and analyze stock data more valuable.

How to use it

  1. Clone the repo and install dependencies: git clone https://github.com/simonlin1212/Vibe-Research.git && cd Vibe-Research && pip install -r requirements.txt,2. Set up the FastAPI backend: cd backend && uvicorn main:app --reload,3. Launch the React frontend: cd frontend && npm install && npm start,4. Configure your AI model in the settings to start analyzing the aggregated data.,5. Use the dashboard to monitor daily market reviews, stock details, and news.

How I could use this

  1. Henry could integrate Vibe-Research's data aggregation features into his blog to provide readers with real-time stock market insights and analysis, enhancing the value of his content.
  2. For career tools, Henry could use the AI-driven analysis features to build a financial analyst resume matcher, highlighting skills in financial data analysis and AI model integration.
  3. Henry could extend the AI capabilities of Vibe-Research to include sentiment analysis of news articles, providing a more comprehensive view of market trends and stock performance.

9. Robbyant/lingbot-video

672 stars this week · Python · image-to-video lingbot-video video-generation world-models

LingBot-Video is an open-source MoE video generation model that bridges video synthesis with physical world understanding, enabling realistic video generation from text or images.

Use case

LingBot-Video solves the problem of generating realistic, contextually aware videos from text or images, which is particularly useful for creating dynamic content for blogs, tutorials, or simulations. For example, a developer could generate a video tutorial for a complex setup process simply by describing the steps in text.

Why it's trending

It's trending due to its recent release and the growing interest in AI-generated video content, especially with the rise of embodied intelligence and the need for more realistic video synthesis.

How to use it

Install the required dependencies: pip install -r requirements.txt,Download the pre-trained model from Hugging Face or ModelScope.,Use the provided Python script to generate videos from text or images. Example: python generate_video.py --text "A robot assembling a chair" --output video.mp4,Customize the generation parameters to fit your specific needs, such as video length, resolution, and style.

How I could use this

  1. Henry could use LingBot-Video to create dynamic, AI-generated video tutorials for his blog posts, making complex topics more engaging and easier to understand.
  2. For career tools, Henry could generate personalized video cover letters or project demonstrations, showcasing his skills in a more interactive and memorable way.
  3. In AI features, Henry could integrate LingBot-Video to allow users to generate custom videos based on their blog content, enhancing user engagement and providing a unique interactive experience.

10. Robbyant/lingbot-vision

631 stars this week · Python

LingBot-Vision is a self-supervised Vision Transformer model that excels at dense spatial perception, enabling better understanding of boundaries, shapes, and semantic regions in images.

Use case

This repo solves the problem of accurately interpreting spatial relationships and structures within images, which is crucial for applications like autonomous navigation or detailed image analysis. For example, a robot using LingBot-Vision could better understand the layout of a room, identifying not just objects but their spatial relationships and boundaries.

Why it's trending

It's trending due to its innovative approach to boundary-centric masked modeling, which combines semantic and geometric understanding, making it highly relevant for advanced computer vision tasks.

How to use it

  1. Clone the repository: git clone https://github.com/Robbyant/lingbot-vision.git,2. Install the required dependencies: pip install -r requirements.txt,3. Download the pretrained model from HuggingFace or ModelScope.,4. Use the model for inference on your images. Example snippet:,python,from lingbot_vision import LingBotVision,model = LingBotVision.from_pretrained('robbyant/lingbot-vision'),image = load_image('path_to_image.jpg'),features = model(image),,5. Analyze the dense spatial features extracted by the model.

How I could use this

  1. Henry could integrate LingBot-Vision into his blog to provide detailed spatial analysis of images, such as breaking down the composition of photographs in his posts.
  2. For career tools, Henry could use LingBot-Vision to analyze the spatial layout of resumes or portfolios, identifying key sections and their relationships to improve design and readability.
  3. In AI projects, Henry could leverage LingBot-Vision to enhance image-based AI features, such as creating a tool that understands and describes the spatial relationships between objects in uploaded images.
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