Explore Verified Production Tech Stacks
16+ battle-tested open-source software architectures with architectural rationale, reliability metrics, and instant AI scaffolding prompts.
Connects enterprise databases directly to AI and machine learning models using standard SQL statements. Enables developers to query, train, and orchestrate generative AI agents and predictive models directly over PostgreSQL, Snowflake, and MongoDB data sources.
Blazing-fast analytical database; processes queries orders of magnitude faster than traditional row-based engines by scanning only relevant columns with SIMD vector instructions.
Turns databases into high-throughput GraphQL APIs in seconds; compiles GraphQL queries directly into optimized single-query SQL statements in Haskell with enterprise access controls.
Radical reimagining of JS tooling; written from scratch in Zig on WebKit JavaScriptCore for 4x faster module resolution, zero-transpilation TypeScript, and native SQLite speed.
Compiles PostgreSQL database schemas, functions, and Row-Level Security (RLS) policies into an instant, high-performance GraphQL API without N+1 query overhead. Generates optimized single-query SQL execution plans directly from incoming GraphQL ASTs.
Open-source Notion and Airtable alternative emphasizing complete data ownership and local-first offline execution. Built with Flutter for smooth cross-platform rendering and a high-performance Rust core engine managing CRDT document state and local SQLite persistence.
High-performance columnar time-series database engineered for financial tick data, IoT metrics, and real-time telemetry. Uses a zero-garbage-collection Java execution engine with C++ SIMD vectorization and lock-free out-of-order data ingestion.
Self-hosted personal health record aggregator connecting thousands of medical institutions via standard SMART-on-FHIR protocols. Built in Go for secure single-binary local-first deployment with embedded encrypted SQLite storage and zero third-party telemetry.
Self-hosted developer community and technical Q&A platform (Stack Overflow / Dev Community alternative). Built with Go Gin for high concurrency and low memory usage, GORM for multi-database persistence (Postgres/MySQL/SQLite), and React TypeScript for rich Markdown editing.
Lightweight Sentry-compatible application performance monitoring and error tracking platform. Built on Python Django and PostgreSQL with async Celery task queues for high-volume exception ingestion and Redis message buffering.
Frequently Asked Questions
Everything you need to know about how this directory works.
What counts as a "verified" production stack?
A verified badge means the architecture is either a well-known curated open-source project we benchmarked directly from its public repository, or a community submission whose maintainer claimed the listing and confirmed the stack, scale, and reliability details are accurate.
Can I submit my own project to this directory?
Yes. Click "Share Your Stack" to submit your production architecture — name, tech stack, team scale, and why you chose it. Submissions are reviewed and go live as community listings; you can claim and verify them later from the project page.
What is the difference between AI-Agent, Hybrid, and Classic modes?
AI-Agent means the majority of the codebase was generated by an AI coding agent with light human review. Hybrid means agent-generated code paired with active human pair programming. Classic means the codebase was hand-written with AI used only for assistance, not generation.
How is the "Most Upvoted" sort order calculated?
Upvotes are community signals from engineers confirming a stack worked well for a production use case similar to theirs. The default sort ranks by net upvotes, then by most recently verified, so newer confirmations surface architectures that are still actively maintained.
Stack information is sourced from each project's public repository (package.json, go.mod, requirements.txt, or equivalent) and is not affiliated with or endorsed by the listed projects.