💡 calcom/cal.diy just hit the trending charts — here's why it matters.
🔗 https://github.com/calcom/cal.diy
📝 Scheduling infrastructure for absolutely everyone.
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Introduction to Cal.diy: Cal.diy is the community-driven, open-source scheduling platform, a fork of Cal.com with all enterprise/commercial code removed. It's designed for individuals and self-hosters who want full control over their scheduling infrastructure without any commercial dependencies.
Key Features:
- 100% MIT-licensed with no proprietary "Enterprise Edition" features
- No license key required, everything works out of the box
- Community-maintained, contributions are welcome
- Built with Next.js, tRPC, React.js, Tailwind CSS, Prisma.io, and Daily.co
To get started, clone the repo, install packages with yarn, set up your .env file, and configure Node. You can use the quick start with `yarn dx` or manual setup with PostgreSQL.
Technical Highlights:
- Self-hosted project, no hosted/managed version
- Requires advanced knowledge of server administration, database management, and securing sensitive data
- Uses Docker and Docker Compose for local development
Audience:
Cal.diy is intended for personal, non-production use, and is strictly recommended for users who are comfortable with self-hosting and have advanced knowledge of server administration and database management.
Takeaway: With Cal.diy, you have full control over your scheduling infrastructure, but be prepared to take on the responsibilities of self-hosting and maintenance.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/calcom/cal.diy
📝 Scheduling infrastructure for absolutely everyone.
──────────────────────────────
Introduction to Cal.diy: Cal.diy is the community-driven, open-source scheduling platform, a fork of Cal.com with all enterprise/commercial code removed. It's designed for individuals and self-hosters who want full control over their scheduling infrastructure without any commercial dependencies.
Key Features:
- 100% MIT-licensed with no proprietary "Enterprise Edition" features
- No license key required, everything works out of the box
- Community-maintained, contributions are welcome
- Built with Next.js, tRPC, React.js, Tailwind CSS, Prisma.io, and Daily.co
Usage: To get started, clone the repo, install packages with yarn, set up your .env file, and configure Node. You can use the quick start with `yarn dx` or manual setup with PostgreSQL.
Technical Highlights:
- Self-hosted project, no hosted/managed version
- Requires advanced knowledge of server administration, database management, and securing sensitive data
- Uses Docker and Docker Compose for local development
Audience:
Cal.diy is intended for personal, non-production use, and is strictly recommended for users who are comfortable with self-hosting and have advanced knowledge of server administration and database management.
Takeaway: With Cal.diy, you have full control over your scheduling infrastructure, but be prepared to take on the responsibilities of self-hosting and maintenance.
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🧠 Channel: https://t.me/GithubRe
🔍 Deep-diving into oven-sh/bun — fresh off the trending list.
🔗 https://github.com/oven-sh/bun
📝 Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
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Bun is an all-in-one toolkit for JavaScript and TypeScript apps, designed as a drop-in replacement for Node.js. It ships as a single executable called
Key features include a test runner, script runner, and Node.js-compatible package manager.
Usage examples include running tests with
From a technical standpoint, Bun supports Linux, macOS, and Windows, and can be installed using a script, npm, or Homebrew. It automatically releases a canary build on every commit to main.
The target audience for Bun is JavaScript and TypeScript developers looking for a faster and more efficient alternative to Node.js.
In short, Bun is a game-changer for JavaScript development - it's like Node.js, but faster.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/oven-sh/bun
📝 Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
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Bun is an all-in-one toolkit for JavaScript and TypeScript apps, designed as a drop-in replacement for Node.js. It ships as a single executable called
bun. The Bun runtime is a fast JavaScript runtime written in Zig, powered by JavaScriptCore, reducing startup times and memory usage. Key features include a test runner, script runner, and Node.js-compatible package manager.
bun can run TypeScript and JSX out-of-the-box, and its built-in tools are significantly faster than existing options. Usage examples include running tests with
bun test, running scripts with bun run, and installing packages with bun install. From a technical standpoint, Bun supports Linux, macOS, and Windows, and can be installed using a script, npm, or Homebrew. It automatically releases a canary build on every commit to main.
The target audience for Bun is JavaScript and TypeScript developers looking for a faster and more efficient alternative to Node.js.
In short, Bun is a game-changer for JavaScript development - it's like Node.js, but faster.
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🧠 Channel: https://t.me/GithubRe
📌 Spotted on GitHub Trending: Anil-matcha/Open-Generative-AI — let's break it down.
🔗 https://github.com/Anil-matcha/Open-Generative-AI
📝 Open-source alternative to AI video platforms — Free AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
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Open Generative AI is a free, open-source AI image, video, cinema, and lip sync studio that brings creative workflows to everyone. It supports text-to-image, image-to-image, text-to-video, image-to-video, and audio-driven lip sync generation across 200+ state-of-the-art models, all from a sleek, modern interface you can self-host and customize.
Key features include no content filters, no prompt rejections, and no subscription fees. The platform is extensible, allowing you to add your own models, modify the UI, and build on top of it.
For usage, you can try it online with no install required, or download the desktop app for macOS, Windows, or Linux. The desktop app supports two independent local engines: sd.cpp and Wan2GP, which can be used for image and video generation.
From a technical standpoint, the platform uses
The target audience includes anyone interested in generative AI, from artists and designers to developers and researchers.
In summary, Open Generative AI is a powerful, flexible, and free platform for creative workflows - unleash your imagination and generate anything.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/Anil-matcha/Open-Generative-AI
📝 Open-source alternative to AI video platforms — Free AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
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Open Generative AI is a free, open-source AI image, video, cinema, and lip sync studio that brings creative workflows to everyone. It supports text-to-image, image-to-image, text-to-video, image-to-video, and audio-driven lip sync generation across 200+ state-of-the-art models, all from a sleek, modern interface you can self-host and customize.
Key features include no content filters, no prompt rejections, and no subscription fees. The platform is extensible, allowing you to add your own models, modify the UI, and build on top of it.
For usage, you can try it online with no install required, or download the desktop app for macOS, Windows, or Linux. The desktop app supports two independent local engines: sd.cpp and Wan2GP, which can be used for image and video generation.
From a technical standpoint, the platform uses
sd.cpp for local model inference on the desktop app, and Wan2GP for remote server-based inference. It also supports Metal GPU acceleration on Apple Silicon.The target audience includes anyone interested in generative AI, from artists and designers to developers and researchers.
In summary, Open Generative AI is a powerful, flexible, and free platform for creative workflows - unleash your imagination and generate anything.
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🧠 Channel: https://t.me/GithubRe
🔥 BigBodyCobain/Shadowbroker is trending — and it deserves your attention.
🔗 https://github.com/BigBodyCobain/Shadowbroker
📝 Open-source intelligence for the global theater. Track everything from the corporate/private jets of the wealthy, and spy satellites, to seismic events in one unified interface. Hook an AI agent up to have it parse through data and find previously unseen correlations. The knowledge is available to all but rarely aggregated in the open, until now.
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Introducing ShadowBroker, a decentralized intelligence platform that aggregates real-time, multi-domain OSINT telemetry from 60+ live intelligence feeds into a single dark-ops map interface. Key features include 35+ toggleable data layers, multiple visual modes, and an obfuscated communications protocol.
Designed for analysts, researchers, and anyone curious about global telemetry, ShadowBroker combines public datasets into a single interface, with no user data collected or transmitted. The project includes an optional
Usage is straightforward: clone the repository, pull the Docker images, and run the container.
Technical highlights include a modular architecture, security context, and ingress readiness for high-availability deployments. An experimental testnet offers decentralized intelligence mesh and Sovereign Shell governance economy, but no privacy guarantee is provided.
ShadowBroker is perfect for those who want to see what the world looks like when every public signal is on the same map. One platform to track them all - that's the power of ShadowBroker.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/BigBodyCobain/Shadowbroker
📝 Open-source intelligence for the global theater. Track everything from the corporate/private jets of the wealthy, and spy satellites, to seismic events in one unified interface. Hook an AI agent up to have it parse through data and find previously unseen correlations. The knowledge is available to all but rarely aggregated in the open, until now.
──────────────────────────────
Introducing ShadowBroker, a decentralized intelligence platform that aggregates real-time, multi-domain OSINT telemetry from 60+ live intelligence feeds into a single dark-ops map interface. Key features include 35+ toggleable data layers, multiple visual modes, and an obfuscated communications protocol.
Next.js, MapLibre GL, FastAPI, and Python power this platform. Designed for analysts, researchers, and anyone curious about global telemetry, ShadowBroker combines public datasets into a single interface, with no user data collected or transmitted. The project includes an optional
Shodan connector and supports Meshtastic mesh radio nodes and APRS amateur radio networks.Usage is straightforward: clone the repository, pull the Docker images, and run the container.
docker compose up -d starts the platform, and http://localhost:3000 provides access to the dashboard.Technical highlights include a modular architecture, security context, and ingress readiness for high-availability deployments. An experimental testnet offers decentralized intelligence mesh and Sovereign Shell governance economy, but no privacy guarantee is provided.
ShadowBroker is perfect for those who want to see what the world looks like when every public signal is on the same map. One platform to track them all - that's the power of ShadowBroker.
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🧠 Channel: https://t.me/GithubRe
💡 tech-leads-club/agent-skills just hit the trending charts — here's why it matters.
🔗 https://github.com/tech-leads-club/agent-skills
📝 The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.
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The Agent Skills repository provides a secure and validated skill registry for professional AI coding agents. It offers a hardened library of verified, tested, and safe capabilities, extending the functionality of agents like Claude Code, Cursor, and more.
Key features include:
-
-
-
- Support for multiple AI agents, including Claude Code and Cursor
Security & Trust are top priorities, with measures like:
-
-
-
To get started, use the
The takeaway: with Agent Skills, you can extend your AI coding agents with confidence, knowing that each skill has been verified, tested, and secured to ensure a safe and reliable experience.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/tech-leads-club/agent-skills
📝 The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.
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The Agent Skills repository provides a secure and validated skill registry for professional AI coding agents. It offers a hardened library of verified, tested, and safe capabilities, extending the functionality of agents like Claude Code, Cursor, and more.
Key features include:
-
on-demand skill fetching from a CDN-
caching for offline use-
interactive wizard for easy installation- Support for multiple AI agents, including Claude Code and Cursor
Security & Trust are top priorities, with measures like:
-
100% open source (no binaries)-
static analysis in CI/CD-
immutable integrity via lockfiles and content hashingTo get started, use the
npx @tech-leads-club/agent-skills command to launch an interactive wizard, or install globally with npm install -g @tech-leads-club/agent-skills. The takeaway: with Agent Skills, you can extend your AI coding agents with confidence, knowing that each skill has been verified, tested, and secured to ensure a safe and reliable experience.
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🧠 Channel: https://t.me/GithubRe
💡 NirDiamant/agents-towards-production just hit the trending charts — here's why it matters.
🔗 https://github.com/NirDiamant/agents-towards-production
📝 End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
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The Agents Towards Production GitHub repository is your one-stop-shop for transforming AI agents into real-world products. This open-source playbook offers
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/NirDiamant/agents-towards-production
📝 End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
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The Agents Towards Production GitHub repository is your one-stop-shop for transforming AI agents into real-world products. This open-source playbook offers
28 production-grade tutorials covering stateful workflows, vector memory, web search APIs, and more. Key features include Docker deployment, security guardrails, GPU scaling, and multi-agent coordination. To get started, simply explore the tutorials and star the project to help others discover it. The repository is perfect for developers, data scientists, and AI enthusiasts looking to build production-ready GenAI agents. With its comprehensive guides and step-by-step tutorials, you'll be able to overcome common challenges and deploy your AI agents with confidence. Take your AI projects to the next level with Agents Towards Production - scale your AI agents from prototype to enterprise!──────────────────────────────
🧠 Channel: https://t.me/GithubRe
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Github Top Repositories
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🌟 dograh-hq/dograh caught my eye on GitHub Trending today.
🔗 https://github.com/dograh-hq/dograh
📝 Open Source Voice Agent Platform
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Dograh AI is an open-source, self-hostable platform for building production voice agents with a drag-and-drop workflow builder. It's a alternative to Vapi and Retell, allowing for full control and transparency.
Key features include a drag-and-drop workflow builder, telephony integration, and support for custom models.
Technical highlights include a modular architecture, real-time processing, and support for multiple languages. The platform is built on
The platform is suitable for developers and businesses looking for a customizable and scalable voice AI solution.
To get started, simply run
Dograh AI is licensed under the BSD 2-Clause License, ensuring freedom to use, modify, and distribute.
With Dograh AI, you can build a working voice bot in under 2 minutes - no coding required.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/dograh-hq/dograh
📝 Open Source Voice Agent Platform
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Dograh AI is an open-source, self-hostable platform for building production voice agents with a drag-and-drop workflow builder. It's a alternative to Vapi and Retell, allowing for full control and transparency.
Key features include a drag-and-drop workflow builder, telephony integration, and support for custom models.
docker-compose is used for easy setup and deployment.Technical highlights include a modular architecture, real-time processing, and support for multiple languages. The platform is built on
Python and uses Docker for containerization.The platform is suitable for developers and businesses looking for a customizable and scalable voice AI solution.
To get started, simply run
curl -o docker-compose.yaml https://raw.githubusercontent.com/dograh-hq/dograh/main/docker-compose.yaml && REGISTRY=ghcr.io/dograh-hq ENABLE_TELEMETRY=true docker compose up --pull alwaysand access the platform at
http://localhost:3010.Dograh AI is licensed under the BSD 2-Clause License, ensuring freedom to use, modify, and distribute.
With Dograh AI, you can build a working voice bot in under 2 minutes - no coding required.
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🧠 Channel: https://t.me/GithubRe
📌 Spotted on GitHub Trending: K-Dense-AI/scientific-agent-skills — let's break it down.
🔗 https://github.com/K-Dense-AI/scientific-agent-skills
📝 A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.
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The Scientific Agent Skills GitHub repository offers a comprehensive collection of 135 ready-to-use scientific and research skills for AI agents that support the open
To get started, users can install the skills using
The target audience for this repository includes researchers, scientists, and developers who want to leverage AI to accelerate their research and workflows. With Scientific Agent Skills, users can transform their AI coding agent into an 'AI Scientist' capable of executing complex multi-step scientific workflows.
Takeaway: Unlock the full potential of your AI agent with Scientific Agent Skills and discover a new world of possibilities in scientific research and development.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/K-Dense-AI/scientific-agent-skills
📝 A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.
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The Scientific Agent Skills GitHub repository offers a comprehensive collection of 135 ready-to-use scientific and research skills for AI agents that support the open
Agent Skills standard. These skills enable AI agents to work with specialized scientific libraries, databases, and tools across multiple scientific domains, including bioinformatics, cheminformatics, proteomics, and more. The repository includes 100+ scientific databases, 70+ optimized Python package skills, and 9 scientific integration skills, as well as tools for analysis, communication, and research. To get started, users can install the skills using
npx or the GitHub CLI. The skills are designed to be easy to integrate and use, with comprehensive documentation and examples provided for each skill. The repository is regularly updated and maintained by the K-Dense team, with contributions from the community.The target audience for this repository includes researchers, scientists, and developers who want to leverage AI to accelerate their research and workflows. With Scientific Agent Skills, users can transform their AI coding agent into an 'AI Scientist' capable of executing complex multi-step scientific workflows.
Takeaway: Unlock the full potential of your AI agent with Scientific Agent Skills and discover a new world of possibilities in scientific research and development.
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🧠 Channel: https://t.me/GithubRe
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Github Top Repositories
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🎯 Light-Heart-Labs/DreamServer landed on trending. Worth a proper look.
🔗 https://github.com/Light-Heart-Labs/DreamServer
📝 Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions.
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Dream Server is an open-source, local-first AI stack that empowers individuals to self-host their AI infrastructure. The project's primary goal is to provide a sovereign AI solution, allowing users to run their AI models on their own hardware, without relying on cloud services or centralized providers.
Key features of Dream Server include:
- One-command installation: detects GPU, picks the right model, and launches all services
- Chatting in under 2 minutes: bootstrap mode enables instant chatting while the full model downloads in the background
- Full service stack: chat, agents, voice, workflows, search, RAG, image generation, and privacy tools, all pre-wired and talking to each other
From a technical standpoint, Dream Server supports various platforms, including
The target audience for Dream Server includes individuals and organizations seeking to maintain control over their AI infrastructure and data. With its user-friendly installation process and extensive documentation, Dream Server makes it possible for anyone to self-host their AI, regardless of their technical background.
Dream Server is the ultimate game-changer: Take back control of your AI, and never look back.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/Light-Heart-Labs/DreamServer
📝 Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions.
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Dream Server is an open-source, local-first AI stack that empowers individuals to self-host their AI infrastructure. The project's primary goal is to provide a sovereign AI solution, allowing users to run their AI models on their own hardware, without relying on cloud services or centralized providers.
Key features of Dream Server include:
- One-command installation: detects GPU, picks the right model, and launches all services
- Chatting in under 2 minutes: bootstrap mode enables instant chatting while the full model downloads in the background
- Full service stack: chat, agents, voice, workflows, search, RAG, image generation, and privacy tools, all pre-wired and talking to each other
From a technical standpoint, Dream Server supports various platforms, including
Linux, Windows, and macOS, with NVIDIA, AMD, and Intel Arc GPUs. The project also features hardware auto-detection, which selects the optimal model based on the user's hardware.The target audience for Dream Server includes individuals and organizations seeking to maintain control over their AI infrastructure and data. With its user-friendly installation process and extensive documentation, Dream Server makes it possible for anyone to self-host their AI, regardless of their technical background.
Dream Server is the ultimate game-changer: Take back control of your AI, and never look back.
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🧠 Channel: https://t.me/GithubRe
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📌 Spotted on GitHub Trending: KeygraphHQ/shannon — let's break it down.
🔗 https://github.com/KeygraphHQ/shannon
📝 Shannon Lite is an autonomous, white-box AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production.
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Shannon is an autonomous, white-box AI pentester for web applications and APIs. It analyzes source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production. Key features include fully autonomous operation, reproducible proof-of-concept exploits, and code-aware dynamic testing.
Get started with Shannon today and close the security gap in your development cycle - automate your penetration testing and ship secure code faster.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/KeygraphHQ/shannon
📝 Shannon Lite is an autonomous, white-box AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production.
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Shannon is an autonomous, white-box AI pentester for web applications and APIs. It analyzes source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production. Key features include fully autonomous operation, reproducible proof-of-concept exploits, and code-aware dynamic testing.
Shannon is available in two editions: Shannon Lite (AGPL-3.0) for local testing and Shannon Pro (commercial) for organizations needing a single AppSec platform. Technical highlights include a Code Property Graph (CPG) combining the AST, control flow graph, and program dependence graph, and a two-stage pipeline with agentic static analysis and autonomous AI penetration testing. Audience includes developers, security professionals, and organizations looking for automated penetration testing. Here's a quick start example:npx @keygraph/shannon setup
npx @keygraph/shannon start -u https://your-app.com -r /path/to/your-repo
Get started with Shannon today and close the security gap in your development cycle - automate your penetration testing and ship secure code faster.
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🚀 Meet TryGhost/Ghost: a gem from today's GitHub trending list.
🔗 https://github.com/TryGhost/Ghost
📝 Independent technology for modern publishing, memberships, subscriptions and newsletters.
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Ghost is a popular open source, headless Node.js Content Management System (CMS) that provides professional publishing features. Its key features include a simple and intuitive interface, support for multiple themes, and a robust API for custom development. To get started, users can deploy a production instance with
For a quickstart install, run:
Then, install locally with:
or on a server with:
The target audience includes developers, bloggers, and publishers who want a flexible and customizable CMS. With a large community of developers and a range of resources available, including the official documentation and the Ghost forum, users can get help and support when needed. Ghost is released under the MIT license, making it free to use and modify.
Try Ghost today and discover a better way to publish online - your blog, your rules.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/TryGhost/Ghost
📝 Independent technology for modern publishing, memberships, subscriptions and newsletters.
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Ghost is a popular open source, headless Node.js Content Management System (CMS) that provides professional publishing features. Its key features include a simple and intuitive interface, support for multiple themes, and a robust API for custom development. To get started, users can deploy a production instance with
Ghost(Pro), the official managed service, or run their own instance using the ghost-cli tool. For a quickstart install, run:
npm install ghost-cli -g
Then, install locally with:
ghost install local
or on a server with:
ghost install
The target audience includes developers, bloggers, and publishers who want a flexible and customizable CMS. With a large community of developers and a range of resources available, including the official documentation and the Ghost forum, users can get help and support when needed. Ghost is released under the MIT license, making it free to use and modify.
Try Ghost today and discover a better way to publish online - your blog, your rules.
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🧠 Channel: https://t.me/GithubRe
⚡ medusajs/medusa is making waves. Here's the full picture.
🔗 https://github.com/medusajs/medusa
📝 The world's most flexible commerce platform.
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Medusa is a set of commerce modules and tools that enable you to build rich, reliable, and performant commerce applications. Its modular architecture allows for customization and extension, making it suitable for advanced ecommerce stores, marketplaces, or any product that needs foundational commerce primitives.
To get started, visit the Quickstart Guide to set up a server. Medusa's
The project has a public roadmap, and the community and core team are available to provide support and discuss ideas in GitHub Discussions. Medusa is licensed under the MIT License, and contributions to the codebase and docs are welcome.
Medusa's key features include its modular architecture, customizable modules, and
Medusa is designed for developers and businesses looking to build advanced commerce applications. With its modular architecture and open-source nature, Medusa provides a flexible and customizable solution for a wide range of commerce use cases.
Build fast, reliable, and
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/medusajs/medusa
📝 The world's most flexible commerce platform.
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Medusa is a set of commerce modules and tools that enable you to build rich, reliable, and performant commerce applications. Its modular architecture allows for customization and extension, making it suitable for advanced ecommerce stores, marketplaces, or any product that needs foundational commerce primitives.
To get started, visit the Quickstart Guide to set up a server. Medusa's
modules can be used to build a wide range of commerce applications, and its open-source nature means that all modules are freely available on npm.The project has a public roadmap, and the community and core team are available to provide support and discuss ideas in GitHub Discussions. Medusa is licensed under the MIT License, and contributions to the codebase and docs are welcome.
Medusa's key features include its modular architecture, customizable modules, and
open-source nature. Its technical highlights include a performant and reliable architecture, making it suitable for large-scale commerce applications.Medusa is designed for developers and businesses looking to build advanced commerce applications. With its modular architecture and open-source nature, Medusa provides a flexible and customizable solution for a wide range of commerce use cases.
Build fast, reliable, and
scalable commerce applications with Medusa - the building blocks for digital commerce. Medusa is the key to unlocking your commerce potential.──────────────────────────────
🧠 Channel: https://t.me/GithubRe
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Github Top Repositories
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🌟 knadh/listmonk caught my eye on GitHub Trending today.
🔗 https://github.com/knadh/listmonk
📝 High performance, self-hosted, newsletter and mailing list manager with a modern dashboard. Single binary app.
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Listmonk is a self-hosted newsletter and mailing list manager that's fast and feature-rich. It's a single binary application that uses a PostgreSQL database. Key features include a user-friendly dashboard and easy installation via Docker or binary download.
To get started, you can use the
Listmonk is free and open source under the AGPLv3 license, and is suitable for developers and non-technical users alike. The backend is written in
One-liner takeaway: Listmonk is a hassle-free, self-hosted solution to manage your newsletters and mailing lists - give it a try!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/knadh/listmonk
📝 High performance, self-hosted, newsletter and mailing list manager with a modern dashboard. Single binary app.
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Listmonk is a self-hosted newsletter and mailing list manager that's fast and feature-rich. It's a single binary application that uses a PostgreSQL database. Key features include a user-friendly dashboard and easy installation via Docker or binary download.
To get started, you can use the
docker-compose.yml file to run the services in the background with docker compose up -d, or download the latest release and extract the listmonk binary.
Listmonk is free and open source under the AGPLv3 license, and is suitable for developers and non-technical users alike. The backend is written in
Go and the frontend is Vue with Buefy for UI. One-liner takeaway: Listmonk is a hassle-free, self-hosted solution to manage your newsletters and mailing lists - give it a try!
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🧠 Channel: https://t.me/GithubRe
🔍 Deep-diving into plausible/analytics — fresh off the trending list.
🔗 https://github.com/plausible/analytics
📝 Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
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Plausible Analytics is an open-source, privacy-first web analytics tool that's a lightweight, cookie-free alternative to Google Analytics. It's available in both managed cloud and self-hosted community editions.
The key features of Plausible include:
- Privacy-focused and GDPR, CCPA, PECR compliant
- Simple, fast dashboard
- Lightweight script
- Made and hosted in the EU
You can use Plausible by signing up for their managed service in the cloud, which is easy to set up and requires no maintenance, or by self-hosting the community edition on your own server.
From a technical standpoint, Plausible is built with a modern, scalable stack, including
Plausible is designed for anyone looking for a private and simple web analytics solution, from individual developers to large businesses.
In short, Plausible Analytics is the perfect choice for those who want to keep it simple, keep it private.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/plausible/analytics
📝 Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
──────────────────────────────
Plausible Analytics is an open-source, privacy-first web analytics tool that's a lightweight, cookie-free alternative to Google Analytics. It's available in both managed cloud and self-hosted community editions.
The key features of Plausible include:
- Privacy-focused and GDPR, CCPA, PECR compliant
- Simple, fast dashboard
- Lightweight script
- Made and hosted in the EU
You can use Plausible by signing up for their managed service in the cloud, which is easy to set up and requires no maintenance, or by self-hosting the community edition on your own server.
From a technical standpoint, Plausible is built with a modern, scalable stack, including
Elixir + Phoenix for the backend, PostgreSQL and ClickHouse for databases, and React + TailwindCSS for the frontend. Plausible is designed for anyone looking for a private and simple web analytics solution, from individual developers to large businesses.
In short, Plausible Analytics is the perfect choice for those who want to keep it simple, keep it private.
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🧠 Channel: https://t.me/GithubRe