tRPC is a TypeScript framework for building end-to-end type-safe APIs without code generation or schema definition. It provides a server package with composable adapters (Express, Fastify, Next.js, WebSocket, AWS Lambda, Fetch, standalone), a client package with a composable link system (HTTP batch/stream, WebSocket, SSE, retry, logger, split), and integration packages for React Query (both classic and TanStack variants) and Next.js (Pages and App Router). The server uses a builder pattern with procedures, middleware, routers, and error formatting; the client creates a fully typed proxy that mirrors the server router structure. tRPC also supports data transformers (SuperJSON, etc.), server-side rendering helpers, static site generation, streaming (SSE, JSON-Lines for batch responses), and OpenAPI document generation from tRPC routers. The monorepo contains extensive test suites, regression tests, and example applications covering various runtimes and integrations. Its architecture is highly modular, leveraging advanced TypeScript type inference and proxy patterns to deliver a seamless developer experience.
This is Prisma 8, a next-generation ORM framework written in TypeScript. It provides a contract-driven schema definition system where a 'contract' (JSON + TypeScript types) defines the data model, codecs, extensions, and capabilities. From this contract, the framework generates migrations, a type-safe query builder, and runtime execution for multiple database targets (PostgreSQL, SQLite, MongoDB). The architecture follows a multi-plane design with clear separation between the control plane (schema definition, migration planning, CLI) and the runtime plane (query execution, codec encoding/decoding). The monorepo is organized into layers: foundation (contract IR, canonicalization), core (config, framework components), authoring (PSL parser, contract builder), tooling (CLI, emitter, migration tools), family-specific packages (SQL family, Mongo family), target adapters (Postgres, SQLite, Mongo), and extensions (pgvector, postgis, supabase, etc.). Key entry points include the CLI (packages/1-framework/3-tooling/cli/src/bin.ts), contract definition via defineContract, migration base class, runtime creation (createPostgresRuntime, createMongoRuntime), and the ORM client (Collection). Data flows from contract source (PSL or TypeScript) to contract IR, emission (contract.json + contract.d.ts), migration planning, DDL execution, runtime query building, codec encoding/decoding, and database execution. External dependencies include PostgreSQL (via pg driver), SQLite (via better-sqlite3 or WASM), MongoDB (via mongodb driver), various extensions (pgvector, postgis, etc.), and Node.js/Bun runtimes.
Umami is a self-hosted, open-source web analytics platform that serves as a privacy-focused alternative to Google Analytics. The system tracks pageviews, sessions, events, funnels, journeys, retention, attribution, revenue, and performance metrics (Core Web Vitals) through a dual-database architecture using PostgreSQL (via Prisma ORM) and ClickHouse for analytics queries. It provides real-time dashboards, session replay, heatmaps, and a customizable board/dashboard system with shareable views. The application is built with Next.js (App Router) and React, using TypeScript throughout. It features a comprehensive REST API with auto-generated OpenAPI contracts, a generated TypeScript API client package, and an MCP (Model Context Protocol) server for AI/LLM integration. Authentication supports API keys, JWT, two-factor authentication (TOTP with backup codes), and team-based multi-tenancy with role-based permissions. Key architectural patterns include a dual-database query dispatcher (`runQuery`) that selects between Prisma and ClickHouse implementations for every analytics query, a centralized request parsing and validation layer using Zod schemas, and a hook-based React data layer with TanStack Query for caching and invalidation. The codebase also includes comprehensive test coverage with Vitest unit tests, Playwright API tests, and E2E tests, plus a coverage oracle that enforces every API endpoint is documented in the OpenAPI spec.
Dub is a commercial open-core link attribution, short-link, and affiliate/partner marketing platform. In production it runs as a multi-tenant Next.js application with three separate front-ends: a customer dashboard (app.dub.co), a partner portal (partners.dub.co), and an admin console (admin.dub.co). The core operational surface includes short-link creation and redirection, link and QR management, click/lead/sale tracking, webhooks, API tokens, domain management, and the full partner-program lifecycle: partner onboarding, applications, commissions, rewards, discount codes, payouts, bounties, groups, campaigns, fraud/risk rules, and identity verification. Analytics are product telemetry consumed through Tinybird, not a research/data-science pipeline, so the repository is best classified as an application despite its high data-event volume. The architecture is a pnpm/Turborepo monorepo centered on apps/web and shared packages such as @dub/ui, @dub/utils, @dub/email, @dub/embed-core, @dub/embed-react, a CLI, and HubSpot/Stripe app integrations. The backend uses Next.js App Router API routes and server actions, Prisma on MySQL/PlanetScale for transactional state, Upstash Redis/QStash for caching, rate limiting, and background job orchestration, and Tinybird for real-time analytics. Authentication combines NextAuth sessions, BoxyHQ SAML, workspace-scoped API tokens, and dedicated auth wrappers for workspace, partner, admin, and cron contexts. External systems—Stripe, PayPal, Shopify, HubSpot, Slack, Google Ads, Veriff, and many importers—are connected through webhooks, OAuth callbacks, and QStash-driven cron jobs. Primary entry points are the REST API routes under /api and /(ee)/api, attribution endpoints like /api/track/click and /api/track/sale, roughly one hundred scheduled /api/cron jobs, and a large server-action layer for dashboard mutations. Data flows from link redirects and conversion events into Tinybird, while workspace, program, partner, commission, and payout state persists in the relational database. Payout aggregation, commission generation, CSV/API exports, and fraud detection are executed as batched background jobs. The codebase is actively maintained but has grown organically. It is generally well-structured and typed, with strong use of Zod schemas, safe server actions, and reusable auth wrappers. However, it also carries legacy `(old)/projects` routes, deprecated API fields, duplicated importers and postback adapters, one-off migration scripts, and several hardcoded environment/program IDs, producing a medium level of technical drift.
Postiz is a full-stack, open-source social media scheduling and publishing platform that supports 30+ platforms (Instagram, TikTok, LinkedIn, YouTube, X, Facebook, etc.). The system is built as a pnpm monorepo with four main applications: a Next.js frontend (App Router), a NestJS backend REST API, a Temporal-based workflow orchestrator for reliable post publishing and token refresh, and a Chrome extension for cookie-based authentication. It also includes a CLI app, a public SDK (@postiz/node), and a shared libraries layer for business logic, database access (Prisma + PostgreSQL), and integrations. Key architectural patterns include an abstract social provider base class (SocialAbstract) that all platform integrations extend, a Temporal v1.8+ workflow engine with versioned posting workflows (v1.0.1 through v1.0.8), an upload factory abstracting local and Cloudflare storage, an MCP server for AI agent tools (scheduling, content generation via LangGraph), a plug/auto-reply system, and a short-link abstraction with multiple providers. The frontend uses Zustand for state management, SWR for data fetching, CopilotKit for AI textarea integration, and Mantine/Tailwind for UI. The system handles OAuth flows, subscription billing via Stripe, team collaboration, webhooks, and admin monitoring. The codebase demonstrates strong engineering with reusable abstractions for social integrations, storage, email, and short-linking, though it carries some technical debt from organic growth (multiple workflow versions, hardcoded strings, and suppressed TypeScript strictness).
ZaloCRM is a production-grade, multi-tenant customer relationship management system deeply integrated with the Vietnamese Zalo messaging platform. It serves real-estate sales teams by unifying contact management, real-time chat, lead scoring/automation, appointment scheduling, media library, RBAC, privacy controls, and third-party integrations (Facebook Lead Ads, Telegram bridge, Google Sheets). The system is deployed as a Node.js/Fastify monolith with PostgreSQL (Prisma ORM), Redis (BullMQ queues, rate limiting), MinIO/S3-compatible storage, and Socket.IO for real-time events. It relies on the unofficial Zalo SDK (zca-js) for messaging operations and supports multiple AI providers (Anthropic, Gemini, OpenAI) for reply drafting, sentiment analysis, and appointment parsing. The architecture follows an open-core model: the Community edition ships with extension stubs (`_ee-stubs`) that are replaced in the Enterprise edition. Key entry points include auth routes (JWT with rotating refresh tokens), Zalo account management (QR login, reconnect), friend sync (cron-driven diff-then-emit), and a rich chat operations module (reactions, edits, forwards). Background jobs handle lead pool assignment, care session monitoring, scoring decay, and engagement pattern classification. The system maintains strong data invariants through Prisma extensions (tenant context, RLS preparation, safe-contact-write) and a custom privacy layer that redacts private-nick messages based on viewer role. Data flows center on the Zalo account pool: inbound messages are ingested via socket listeners or friend sync, routed to conversations via a global-aware resolver, and triggers automation hooks (care sessions, auto-tags, sequence advancement). Analytics are derived from daily engagement materialization and scoring engine (4 dimensions with weights). External dependencies are managed via Redis-backed rate limiters, while storage operations are abstracted behind a `StorageDriver` interface with local/R2 implementations. The codebase is actively maintained with daily commits, extensive Prisma migrations, and a comprehensive test suite covering privacy invariants, merge policies, and regression scenarios.
This repository is a full-stack Next.js application that serves as the world's largest open-source prompt library for AI. It provides a platform for users to create, share, discover, and manage prompts for various AI models (ChatGPT, Claude, Gemini, etc.). The core functionality includes CRUD operations for prompts with types (text, image, video, audio, skill, taste), voting, commenting, versioning, change requests, collections, and moderation tools. It features AI-powered capabilities such as semantic search via OpenAI embeddings, prompt improvement, translation, quality checking, and media generation through plugin-based providers (Fal.ai, Wiro.ai). The application supports multi-tenancy for self-hosting with configurable branding, authentication plugins (OAuth, OIDC, GitHub, Apple, Google), and storage backends (S3, DO Spaces). Beyond the web app, it includes a CLI tool (packages/prompts.chat) for browsing and running prompts locally, a Raycast extension for quick access, and an MCP server for integration with AI coding assistants. Additionally, it bundles an interactive educational book on prompt engineering (28+ chapters) and a gamified kids learning section, both fully localized into 17 languages. The codebase is well-structured with a plugin registry pattern, configuration-driven design, and extensive use of modern Next.js patterns (App Router, server components, streaming).
Cal.diy is a fully open-source, MIT-licensed fork of Cal.com, providing a self-hostable scheduling platform. It is a large monorepo containing a Next.js web application (apps/web) for booking pages, settings, and admin, a NestJS API (apps/api/v2) for platform REST endpoints, and extensive packages for business logic (packages/features), integrations (packages/app-store with 50+ apps), embeddable booking widgets (packages/embeds), and reusable React atoms (packages/platform/atoms). The architecture uses tRPC for client-server communication, Prisma ORM with PostgreSQL, Redis caching, and a custom dependency injection system (ioctopus) alongside NestJS DI. Key patterns include a tasker abstraction for async/sync background jobs (webhooks, emails, calendar sync), a versioned webhook payload builder factory, repository pattern over Prisma, and a consistent app-store integration structure. The platform exposes a public API with OAuth2, webhooks, and embeddable components for third-party developers. The codebase is actively maintained with frequent schema migrations and CI/CD pipelines, but exhibits some technical drift due to dual API surfaces (tRPC vs REST), stub implementations for enterprise features, and generated files that require regeneration.
Liam is a full-stack web application and CLI toolchain for database schema design and visualization. It parses schemas from multiple formats (PostgreSQL, Prisma, Drizzle, tbls, schema.rb), renders interactive Entity-Relationship Diagrams (ERDs) using React Flow, and provides an AI-assisted workflow powered by LangGraph agents. Users can create design sessions, chat with a team of AI agents (PM, DB, QA) that analyze requirements, generate schema changes, create migration SQL, and validate via pgTAP tests. The frontend is built with Next.js and Supabase for authentication, real-time updates, and data persistence. A CLI tool allows local ERD generation from schema files. The monorepo includes numerous internal packages for schema parsing, UI components, error handling (neverthrow), and in-browser PostgreSQL execution (PGlite).
Ghostfolio is an open-source wealth management application that enables individuals to track and analyze their personal investment portfolios. It supports multiple asset classes (stocks, ETFs, cryptocurrencies, bonds, real estate) and integrates with numerous financial data providers (Yahoo Finance, CoinGecko, Alpha Vantage, etc.) to automatically fetch market prices, historical data, and asset profiles. The system provides comprehensive portfolio performance calculations (ROAI, TWR, MWR), benchmark comparisons, dividend tracking, and a rule-based X-ray analysis for risk assessment (currency/asset class/regional cluster risk, emergency fund coverage, fee ratios). It also includes a FIRE calculator, watchlist, and import/export functionality for activities. The architecture follows a full-stack monorepo pattern using Nx, with an Angular 22 frontend (standalone components, Material Design, Chart.js) and a NestJS 11 backend (Prisma ORM with PostgreSQL, Redis caching, Bull queues for background data gathering). Authentication supports JWT, OAuth (Google, OIDC), API keys, and WebAuthn passkeys. The system is self-hostable via Docker Compose and includes a premium subscription tier managed through Stripe. The codebase is modular with shared libraries (`libs/common` for DTOs, interfaces, utilities; `libs/ui` for reusable Angular components) and a clear separation of concerns across API modules, services, and queue processors. Key highlights include a pluggable data provider abstraction, an abstract portfolio calculator with caching and retry logic, a comprehensive permission and scope system for fine-grained access control, and a rich UI component library with Storybook documentation. The project is actively maintained with frequent releases, extensive Prisma migrations, and a large test suite for portfolio calculations and import validation. While the codebase shows some technical drift (proliferation of environment variables, deprecated endpoints, and multiple data provider integrations), the overall engineering quality is strong, with well-structured modules and reusable patterns that could be extracted for other financial applications.
Prismaliser is a fully client-side single-page application that visualizes Prisma database schemas as interactive entity-relationship diagrams. It runs entirely in the browser: the user pastes a Prisma schema into a Monaco editor, the app parses it client-side via a vendored WASM module from Prisma's own schema parser, and renders the models, enums, and relations (1-1, 1-n, m-n) as an interactive React Flow graph. The app has no backend server – it is a static Vite SPA that can be self-hosted (Docker image provided). Recently, AT Protocol (Bluesky) integration was added allowing users to publish immutable snapshots of their diagrams (schema + node positions) to their own AT repository, share via canonical AT links, and manage published snapshots. OAuth login is browser-native using the atcute library family. The codebase is TypeScript strict, thoroughly tested (Vitest), and follows modern React patterns with Tailwind CSS v4 and CSS modules. The architecture is modular: a util layer handles Prisma parsing, graph generation, and layout (elkjs), while a dedicated atproto/ module handles OAuth, record creation, public retrieval, and share link parsing. The UI is built with React 19, using local state and hooks (no global state management). The project is actively maintained with recent commits and open issue triage.
This is a pnpm monorepo whose dominant application is apps/portal, a Next.js + tRPC + Prisma community platform for tech interview preparation. It delivers three interactive products: an anonymous salary/offer comparison tool with percentile analysis and currency conversion, a resume review system with PDF uploads, comments, stars and gamified badges, and a crowdsourced interview question bank with voting, full-text search and list curation. Authentication is NextAuth via GitHub, file uploads use Supabase storage, and all application logic is exposed through a tRPC router tree backed by PostgreSQL. apps/website is a Docusaurus static site that publishes the interview handbook content, blog posts and practice lists such as Grind 75; it is content-delivery rather than dynamic. The repo has some data/research flavour because it ships Prisma seed datasets (countries, states, companies, salary XLSX) and offer-analysis logic, but those are reference data and application features, not an analytical pipeline. The engineering follows T3 conventions: Zod-validated routers, React Hook Form, a custom UI kit and shared config packages. Strong reusable pieces include an accessible typeahead, a compound radio list, a currency exchange utility and an optimistic vote hook. Weaknesses are long and repetitive tRPC routers (especially the offers-profile update mutation), duplicated voting mutations across routers, inconsistent use of protected routers, hardcoded assumptions in seeds, and no visible automated test suite. The repository is actively maintained with recent commits and CI workflows, but it has medium technical drift: the portal pins older major versions of Next.js, tRPC and React Query, and it depends on a custom vite-plus toolchain. The Prisma schema has many 2022-era migrations and substantial complexity. It is best used as a reference architecture for building community-driven interview-prep features and as a source of isolated UI/utility patterns rather than as a drop-in application.
Evolution API is a production-grade, multi-tenant WhatsApp API gateway built with Node.js, TypeScript, and Express. It manages independent WhatsApp instances via Baileys (WhatsApp Web), Meta Business API, and its own Evolution API channel, providing REST endpoints for messaging, chat management, groups, labels, and media. The system integrates deeply with chatbot platforms (Typebot, OpenAI, Dify, Flowise, N8N, EvoAI, EvolutionBot) and event systems (Webhook, WebSocket, RabbitMQ, SQS, NATS, Kafka, Pusher), and includes storage via S3/MinIO and CRM sync with Chatwoot. The architecture follows a modular controller-service pattern with Prisma ORM (supporting MySQL and PostgreSQL), Redis caching, and centralized configuration. It is actively maintained with frequent updates, extensive migrations, and CI/CD pipelines.
SimpleHub is a self-hosted API aggregation monitoring and management system designed for AI relay services. It allows users to manage multiple API sites (NewAPI, Veloera, DoneHub, VOAPI, and OpenAI-compatible) from a single dashboard. The system monitors model lists for changes, tracks account balances and usage, and supports automatic daily check-in for supported platforms. It sends email notifications via Resend when model changes are detected, either individually or aggregated in scheduled batch checks. The architecture is a monolithic Node.js application using Fastify for the backend and React (with Vite) for the frontend. The backend serves the built frontend statically and exposes a RESTful API under /api. Authentication is handled via JWT tokens. Data persistence uses SQLite via Prisma ORM. The system includes a cron-based scheduler for periodic checks, with support for per-site proxy configuration (HTTP, HTTPS, SOCKS5) and automatic BunkerWeb challenge solving through proxies. External dependencies include Fastify, Prisma, Resend, node-cron, bcryptjs, and various proxy agent libraries. Key entry points are the Fastify server (port 3000), the API routes defined in routes.js, and the scheduler that manages global and per-site cron jobs. The frontend provides a modern Ant Design-based UI for managing sites, viewing model lists, checking balances, and configuring notifications. The system is designed for easy deployment via Docker or direct installation scripts, with support for alwaysdata and systemd services.
Papermark is an open-source document and data room sharing platform (DocSend alternative) built with Next.js, Prisma, and a modern SaaS stack. It provides secure document sharing with granular access controls (password, email verification, domain allow/deny lists, watermarking, screenshot protection), real-time analytics (page views, video playback, click tracking via Tinybird), and enterprise-grade features like virtual data rooms with folder hierarchies, group permissions, AI-powered document indexing and chat, signing agreements (Documenso integration), workflow automation, and Slack integration. The platform is monetized via Stripe subscriptions with tiered plans and includes a comprehensive billing/cancellation flow. The architecture is a full-stack Next.js application with a mix of Pages Router and App Router, using Prisma for PostgreSQL ORM, Redis for caching/rate limiting/job stores, Trigger.dev for background tasks, Tinybird for analytics pipes, and Vercel Blob/AWS S3 for file storage. Authentication supports NextAuth.js with passkeys, SAML SSO (via BoxyHQ Jackson), and OTP verification. The codebase is organized with a clear separation of enterprise features under an `ee/` directory, reusable UI components (shadcn/ui-based), and extensive SWR hooks for client-side data fetching. The repository demonstrates solid engineering practices with well-structured API routes, RBAC enforcement, and a rich set of utilities. However, it shows signs of technical drift: simultaneous use of Pages Router and App Router creates inconsistency, some API endpoints are large and monolithic, and there is duplication in folder management and export-visits logic. The rapid schema evolution (many Prisma migrations) indicates active development but also potential instability. Overall, it is a production-quality application with strong reusability in its UI components, i18n pattern, and utility libraries.
This is a monorepo for a web-based vector graphics editor (similar to Figma) built with React, Canvas2D, and TypeScript. It features a core editor with drawing tools, layers, path editing, undo/redo, SVG import/export, and real-time multiplayer collaboration (via Yjs/Hocuspocus). The architecture includes a standalone editor app, a deprecated multiplayer variant, a backend (NestJS + Prisma + PostgreSQL) for authentication and file storage, and a workbench for team management. Shared packages provide geometry utilities, UI components, icons, and Skia PathKit WASM bindings. The codebase demonstrates strong engineering patterns (command pattern, event emitter, strategy pattern) and provides several reusable components, especially the geometry library and UI components. However, there is significant code duplication between the standalone and multiplayer apps, and the multiplayer app is deprecated, indicating some drift risks. The backend is functional but has minimal stubs and a hardcoded JWT secret.
WeWe RSS is a monolithic NestJS application that provides RSS feed generation for WeChat public accounts (微信公众号). It acts as a middleware between the WeRead (微信读书) platform and standard RSS readers. The system allows users to add WeChat public accounts via article links, fetches account metadata and article lists through the WeRead platform API, stores them in a MySQL or SQLite database, and exposes RSS/Atom/JSON feeds. It includes a cron-based scheduler for periodic feed updates, an admin dashboard built with React and NextUI, and supports features like full-text extraction, title filtering, and OPML export. The architecture is typical for a NestJS application: controllers handle HTTP requests, tRPC provides a type-safe API layer for the frontend, Prisma ORM manages database interactions, and the frontend is a separate Vite/React app. The codebase is straightforward and functional, with no standout reusable components that could be easily extracted without modification.
This is a production-ready, multi-tenant SaaS starter kit built with Next.js (Pages Router), NextAuth.js, Prisma ORM (PostgreSQL), and Tailwind CSS. The system provides comprehensive enterprise features: email/password authentication, magic link, OAuth (Google, GitHub), SAML/SSO via BoxyHQ Jackson, directory sync (SCIM), webhooks via Svix, audit logging via Retraced, Stripe billing, API keys, and team-based role management (RBAC). The architecture follows a monolith with API routes under /pages/api, middleware for session validation, and a component-based frontend. Data flows center around team creation and management: users register (or SSO), create or join teams via invitations, then configure team-level SSO, directory sync, webhooks, billing, and API keys. The codebase demonstrates solid engineering practices with Zod validation, reusable UI components, and a clear separation of concerns, but shows signs of feature creep and some legacy patterns (e.g., Pages Router). It is well-suited for developers building a SaaS platform who need a jump-start on authentication, team management, and enterprise integrations.
This repository is a large, personal competitive programming solution archive spanning multiple platforms (LeetCode, Codeforces, CSES, AtCoder, etc.) with a companion Next.js web application (LeetGoat) for managing and browsing problems. The codebase contains over 3,900 files, predominantly short algorithmic solution scripts in Python, C++, and JavaScript, accompanied by reusable algorithm templates and a structured problem metadata system using Prisma and Supabase. While the primary content is the solution library, the integrated web application provides authentication, admin CRUD for problems and tags, drill grouping, and practice pages. The app uses tRPC for type-safe APIs, Supabase for auth, and Prisma for database access. However, many site pages are placeholders ("Coming Soon"), indicating an early-stage product. Code quality varies widely: many solutions are well-commented and demonstrate strong algorithmic thinking (DP, segment trees, graph algorithms), while others are incomplete, contain known bugs, or carry disclaimers like "BAD SOLUTION". The templates directory contains genuinely reusable components (sparse tables, DSU, segment trees, centroid decomposition) that could be extracted for other projects. Maintenance is ongoing with frequent commit activity, but the sheer volume and mixed concerns (solutions + web app) introduce technical drift. No testing suite or CI is evident, and some solutions depend on external libraries (sortedcontainers) not always available in competitive programming environments.
GraphQL Playground is a full-featured GraphQL IDE (similar to GraphiQL) that provides an interactive development environment for GraphQL APIs. It includes a React-based frontend with query editing, schema exploration, documentation, subscriptions, and history. The repository is a monorepo (Lerna + Yarn workspaces) containing packages for the core React app (`graphql-playground-react`), an Electron desktop app (`graphql-playground-electron`), an HTML embedding page (`graphql-playground-html`), and server middleware for Express, Koa, Hapi, and Lambda. The architecture is a typical React + Redux + Redux-Saga + Immutable.js stack with CodeMirror for editors and Apollo Link for network execution. The project is now archived; future development has moved to GraphiQL. The codebase shows signs of age (outdated dependencies, legacy lifecycle methods, global variable assignments) and has had two documented XSS vulnerabilities. Despite this, some components like the schema fetcher, theming system, and middleware wrappers demonstrate solid engineering patterns.