Awesome GitHub RepositoriesConversion Funnel Analytics

This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and multi-tenant data management. It provides a cookie-less tracking engine that captures visitor interactions using ephemeral request metadata, ensuring comprehensive traffic visibility while maintaining strict privacy standards. The architecture utilizes an event-driven ingestion pipeline and aggregated metric storage to decouple data collection from processing, enabling efficient long-term retrieval and responsive dashboard performance. What distinguishes this platform is its

This project is a comprehensive link management and marketing attribution platform designed for creating, tracking, and analyzing shortened URLs. It functions as a centralized hub for marketing analytics, providing tools to monitor link performance, visualize conversion funnels, and manage affiliate programs through a unified dashboard. The platform distinguishes itself by integrating advanced attribution modeling and partner management directly into the link infrastructure. It supports complex marketing workflows, including automated commission calculations, fraud detection, and payout distr

Rybbit is an open-source, self-hosted web analytics platform designed for comprehensive user behavior tracking and product engagement analysis. It provides a complete suite for monitoring visitor interactions, conversion funnels, and site performance, allowing organizations to maintain full ownership of their data and infrastructure. The platform distinguishes itself through a strong emphasis on privacy-compliant data collection and visual session replay capabilities. It supports advanced traffic routing through custom domains to bypass ad blockers and includes configurable masking tools to p

This project is a comprehensive software entrepreneurship curriculum and solopreneurship business playbook designed for developers. It provides a strategic framework for building, validating, and monetizing side businesses using lean startup methodology and a systematic product development approach. The project distinguishes itself by offering specific guides for digital monetization and career anti-fragility, helping software engineers transition from employment to self-employment. It focuses on turning technical skills into scalable digital assets, paid communities, and independent software

GrowthBook is a feature flagging and experimentation platform that utilizes a warehouse-native approach to data analysis. It serves as a system for managing feature rollouts and conducting A/B tests by executing SQL queries directly against existing data warehouses to calculate experiment results. The platform is distinguished by its integration of a Model Context Protocol server, which allows AI coding assistants and IDEs to manage flags and query analytics using natural language. It also provides specialized capabilities for AI model optimization, enabling the testing of prompts and models

xmall is a distributed e-commerce platform based on a service-oriented architecture. It separates business logic into independent services that communicate over a network to ensure scalability and fault tolerance, utilizing a decoupled storefront interface for customer transactions. The platform employs a distributed architecture using Dubbo for service orchestration and Zookeeper for cluster coordination and service discovery. It integrates a specialized set of components including an asynchronous message broker for background tasks, an indexed search system for product catalogs, and a centr

Marqo is an ecommerce product discovery platform, multimodal vector database, and AI search merchandising tool. It provides infrastructure for implementing semantic search and recommendations, allowing shoppers to find products using natural language and images. The platform distinguishes itself through a hybrid ranking pipeline that combines neural semantic scores with business-defined boosting and pinning rules. It features a conversational commerce engine that uses large language models to process user intent and provides a search performance analytics suite for measuring conversion uplift

Ahoy ist ein First-Party-Analytics-Framework für Ruby-on-Rails-Anwendungen. Es bietet Tools zur Erfassung von Benutzerverhalten und Seitenaufrufen, wodurch Entwickler die volle Kontrolle über ihre Analysedaten behalten. Das System zeichnet sich durch relationale Datenanalyse aus, die Besuchsidentifikatoren direkt mit Anwendungsmodellen für eine tiefgehende Zuordnung von Geschäftsobjekten verknüpft. Es enthält ein datenschutzfreundliches Tracking-Tool, das IP-Adressmaskierung und Cookie-loses Gruppieren von Besuchern nutzt, um Benutzerdaten zu anonymisieren. Das Projekt deckt ein breites Spektrum an Analysefunktionen ab, einschließlich benutzerdefiniertem Event-Tracking, geografischer Standortauflösung via IP-Geocoding und User-Funnel-Analyse. Es verwaltet Daten durch relationale Datenbankpersistenz und nutzt voraggregierte Rollups, um die Abfrage-Performance bei großen Datensätzen zu wahren. Zusätzliche Infrastrukturfunktionen umfassen asynchrones Message-Routing, Middleware-Level-Traffic-Filterung zum Ausschluss von Bots und eine dedizierte API zum Sammeln von Daten von mobilen oder externen Clients.