🎯 Nutlope/hallmark landed on trending. Worth a proper look.

🔗 https://github.com/Nutlope/hallmark
📝 Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
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Hallmark is a design skill that generates unique, AI-produced web pages that don't look like they were made by a machine. With twenty themes and a range of customization options, Hallmark uses a set of design rules to create self-contained HTML + CSS pages. The skill has four main verbs: build, audit, redesign, and study, allowing users to hallmark build, hallmark audit <target>, hallmark redesign <target>, or hallmark study <screenshot | URL>. Hallmark is designed for use with Claude Code, Cursor, and Codex, and can be installed using npx skills add nutlope/hallmark. The result is a unique, human-like design that refuses to be bound by typical AI-generated templates. With Hallmark, every brief gets a unique design - no two pages are alike! One-liner takeaway: Hallmark is the AI design skill that breaks the mold of boring, cookie-cutter templates.

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🧠 Channel: https://t.iss.one/GithubRe

🔥 OpenCut-app/OpenCut is trending — and it deserves your attention.

🔗 https://github.com/OpenCut-app/OpenCut
📝 The open-source CapCut alternative
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OpenCut is a free and open source video editor for web, desktop, and mobile. It's currently being rewritten from the ground up with exciting new features like an Editor API, first-class third party plugins, and a plugin-first architecture. The new version will have a Rust core and offer desktop, mobile, and browser support from one codebase. Other features include an MCP server for AI agents, headless mode for automation and batch rendering, and a scripting tab directly in the editor.

To get started with development, you can install proto and run the application in web:dev, api:dev, or desktop:dev modes. The project is still in the process of being designed, but you can join the Discord or open an issue to follow along and ask questions.

OpenCut is supported by companies that believe in open source creator tools, such as fal.ai. The project is licensed under MIT.
One-liner takeaway: OpenCut is revolutionizing video editing with its open source, plugin-first approach, and soon you'll be able to experience the future of video editing for free.

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🧠 Channel: https://t.iss.one/GithubRe

🚀 Meet PostHog/posthog: a gem from today's GitHub trending list.

🔗 https://github.com/PostHog/posthog
📝 🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.
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PostHog is an all-in-one, open source platform for building successful products, providing a wide range of tools to understand user behavior and analyze data. Its key features include product analytics, web analytics, session replays, feature flags, experiments, and error tracking. To get started, you can sign up for PostHog Cloud or self-host the open-source version using Docker. The platform offers a generous monthly free tier and has a vast range of SDKs and libraries for popular languages and frameworks. Whether you're a product manager, developer, or engineer, PostHog is designed to help you build better products and drive growth. So, why wait? Join the PostHog community today and start building a better product tomorrow!

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🧠 Channel: https://t.iss.one/GithubRe

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

🔗 https://github.com/openinterpreter/openinterpreter
📝 A coding agent for low-cost models
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The Open Interpreter is a coding agent that shines with low-cost models. Key features include a harness emulation system that gets the most out of these models, a /harness command to switch between different harnesses, and a built-in QA skill for testing web and native apps.

To get started, simply run a curl or irm command to install, then type i or interpreter to start a session. The project has a strong focus on documentation, with guides covering everything from installation to configuration and CLI references.

With its robust set of features, including native sandboxing, provider switching, and local config storage, Open Interpreter is perfect for developers and power users looking to streamline their workflow.

Embracing the power of open-source and community-driven development, Open Interpreter is licensed under Apache-2.0 and has a thriving community around it.

Takeaway: Open Interpreter is an ultra-versatile coding agent that's redefining the limits of low-cost models, one line of code at a time.

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🧠 Channel: https://t.iss.one/GithubRe

📌 Spotted on GitHub Trending: PrismML-Eng/Bonsai-demo — let's break it down.

🔗 https://github.com/PrismML-Eng/Bonsai-demo
📝 Bonsai Demo
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The Bonsai-demo repository provides a local demo for running Bonsai and Ternary-Bonsai language models on various platforms, including Mac, Linux, Windows, and CPU. The repository features vision-language models that accept images and text, as well as agentic tool calling and reasoning models.

To get started, users can run the ./setup.sh command to download the required models and binaries, and then use the ./scripts/start_llama_server.sh command to start the demo server. The repository supports different model sizes, including 27B, 8B, 4B, and 1.7B, and allows users to switch between the Ternary and 1-bit families.

The demo is suitable for developers and researchers interested in natural language processing and computer vision. With its tiny footprint and support for long context conversations, the Bonsai-demo is an exciting project that showcases the potential of efficient language models.

One-liner takeaway: Experience the power of efficient language models with the Bonsai-demo, where you can run vision-language models locally and explore the possibilities of agentic tool calling and reasoning models.

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🧠 Channel: https://t.iss.one/GithubRe

🔥 hasaneyldrm/exercises-dataset is trending — and it deserves your attention.

🔗 https://github.com/hasaneyldrm/exercises-dataset
📝 1,324-exercise fitness dataset — animation GIFs, 180×180 thumbnails, muscle-group & equipment data, and step-by-step instructions in 6 languages. The exercise data layer behind the LogPress app.
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The hasaneyldrm/exercises-dataset repository is a treasure trove of fitness enthusiasts, containing a comprehensive dataset of 1,324 exercises with detailed metadata, including category, body-part, equipment, target and muscle-group data. Each exercise comes with an animation GIF and a 180×180 thumbnail image, along with step-by-step instructions in 10 languages. The dataset is perfect for building fitness or workout planning applications, machine learning projects, health and wellness research, and educational demonstrations.

To get started, you can explore the interactive index.html browser, which allows you to filter exercises by category, equipment, and target muscle. The setup.html guide provides a step-by-step tutorial on integrating the dataset into your own application, including database setup and API integration.

Whether you're a developer, researcher, or fitness enthusiast, this dataset has something to offer. So, dive in and start exploring the world of exercises!

Takeaway: With the hasaneyldrm/exercises-dataset, you can power your fitness applications and take your workout planning to the next level!

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🧠 Channel: https://t.iss.one/GithubRe