Plausible Analytics is a production-grade, privacy-first web analytics platform implemented as a full-stack SaaS application. The backend is built with Elixir/Phoenix (LiveView, Ecto, Oban) and uses ClickHouse as the primary analytics data store alongside PostgreSQL for transactional metadata. The frontend is a React/TypeScript single-page application with Tailwind CSS, and a separate JavaScript tracker script is distributed via npm and self-hosted CDN. The system handles event ingestion, session management, real-time dashboards, goal/funnel tracking, billing/subscriptions via Paddle, team collaboration, SSO/SAML authentication, data imports from Google Analytics, and a public Plugins API. The codebase is dual-licensed (Community Edition and Enterprise Edition) with conditional compilation for EE features like consolidated views, customer support tools, and audit logging. The architecture is modular with clear contexts (stats, ingestion, billing, teams, auth, shields) and extensive use of Oban workers for background jobs, ConCache for distributed caching, and OpenTelemetry for observability. The repository demonstrates high engineering craftsmanship with comprehensive test coverage (ExUnit, Playwright, k6 load tests), well-structured abstractions (cache behaviour, rate limiter, write buffers, session balancer), and a clear separation of concerns between the Phoenix web layer, LiveView components, and the React dashboard.
Twenty is a production-grade, open-source CRM delivered as a large Nx monorepo. The system is a full-stack TypeScript application: a NestJS backend (twenty-server) exposing GraphQL/REST APIs, a React frontend (twenty-front) with Jotai-based state management, a shared UI component library (twenty-ui), and shared TypeScript packages (twenty-shared). It provides multi-tenant workspaces, object-record CRUD with custom data models, role-based permissions, AI chat/agent capabilities (model tiers, tool calls, streaming), analytics via ClickHouse, and a CLI scaffolding tool (create-twenty-app) for bootstrapping custom apps. The architecture is modular with NestJS ConfigurableModuleBuilder patterns, event-driven design using Zod-validated schemas, and component-scoped state via atom families and component instance contexts.
This repository is a full-stack marketing demo application powered by Google Cloud generative AI (Vertex AI Gemini, Imagen). It provides an end-to-end workflow for generating campaign content (emails, social media posts, website copy, images), analyzing audiences via natural language to BigQuery, and managing assets across platforms. The frontend is a modern Angular 17 single-page application with Firebase authentication and hosting, while the backend is a FastAPI Python service deployed on Cloud Run. Terraform infrastructure-as-code provisions all GCP resources including BigQuery datasets, Vertex AI Search datastores, Dialogflow CX agents, and Google Drive folder templates for content export. The application showcases marketing use cases like trendspotting via GDELT news summarization, audience insights using structured and unstructured data, and interactive image editing with inpainting/outpainting. While primarily a demo application, the repository also contains several Jupyter notebooks exploring model tuning, text-to-SQL, and clustering explanations, making it a hybrid resource for both application developers and data scientists.
This repository is a comprehensive, structured library of over 50 marketing 'skills' designed for AI coding agents (Claude Code, Codex, Cursor, etc.). Each skill is a self-contained directory with a SKILL.md (frontmatter + workflow), a references/ folder with deep-dive documentation and benchmarks, and evals/evals.json for behavioral testing. The skills cover the full marketing lifecycle: copywriting, SEO, paid ads (Meta, Google, LinkedIn), email, social, CRO, pricing, offers, attribution, market research, and more. Additionally, the repository includes 40+ zero-dependency Node.js CLI scripts that act as API clients for marketing tools like Ahrefs, Semrush, GA4, Meta Ads, Mailchimp, etc., each following a consistent pattern with dry-run support and environment variable authentication. Several integration guides and a central tool registry (REGISTRY.md) complete the ecosystem. While primarily a content library, the CLI scripts and validation/sync tooling demonstrate strong engineering patterns. The skills are designed to be consumed by AI agents to execute complex, multi-step marketing tasks, with cross-skill references and a shared context document (product-marketing.md) enabling orchestration.
CRMEB is a full-featured open-source e-commerce platform built on ThinkPHP 6 (PHP backend) with separate admin, API, customer service, and external API endpoints. The backend serves a Vue 2 + Element UI admin SPA and a uni-app mobile client for WeChat Mini Programs, H5, and apps. It provides standard e-commerce operations (product, order, user, finance management) along with extensive marketing modules (group buying, flash sales, bargaining, coupons, points, live streaming, lottery, agent/distribution), a DIY page builder, and deep WeChat ecosystem integration (official accounts, mini programs, payment, templates, live). The architecture follows a layered pattern: controllers delegate to services, which use DAOs for data access, with models as ActiveRecord classes. The system includes an event system, asynchronous queue jobs, and WebSocket support via Workerman for real-time notifications. It also features a code generation tool (CRUD) to rapidly scaffold admin modules. While the codebase is large and functional, it contains significant boilerplate, duplicated patterns, and some messy code (e.g., repeated conditions in DAO methods). Reusable components include payment, upload, and SMS abstraction layers following a driver/manager pattern, as well as a queue utility and JWT authentication trait.
This repository is a promotional landing page for the 'mojie' VPN service (ιζζΊεΊ). It contains no application source code, libraries, or data pipelines. The core content consists of multilingual README files (Chinese, English, Russian, Persian) that list VPN subscription plans, pricing, invitation codes, affiliate links, and server status tables, along with a handful of performance test screenshots in the mojie/ directory. The only functional component is a GitHub Actions workflow (.github/workflows/daily-sync.yml) that runs nightly to update the date in all README headers and forces pushes the repository to GitLab (Gitee sync is commented out). This is primarily a marketing and affiliate revenue vehicle, not a software project. Because there is no software to evaluate, the quality score reflects the minimal engineering effort: a trivial cron-based workflow with dated bash/perl commands. It is actively maintained in the sense that the date is refreshed daily, but there is no meaningful code craftsmanship or reusability.
This repository is a listing of 50 final-year project ideas covering machine learning, blockchain, web development, and cryptography. It contains only a README file that describes each project and provides links to YouTube tutorials. The actual source code, documents, and explanation videos are not included in the repository; instead, the README directs users to contact the author via email or WhatsApp to obtain the materials. The repository functions as a marketing page rather than a functional codebase. No code, data, or configuration files are present, making it impossible to evaluate architecture, reusability, or data lineage.