# Atomicqueue

My portfolio describes AtomicQueue as a multi-tenant appointment booking platform; TypeScript, React, Node.js, MongoDB, and Turborepo.

For AtomicQueue, MongoDB transactions prevent concurrent double-booking.

AtomicQueue uses Redis for rate limiting and session controls; BullMQ for asynchronous background jobs.

My AtomicQueue GitHub repository metadata is TypeScript, 1 star; started 2026-09; last updated 2026-10.

My AtomicQueue repository is on @AdityaBansal-code's GitHub.

AtomicQueue is a production-grade, multi-tenant appointment booking platform built to guarantee zero double-bookings even under extreme concurrent load.

The README describes the booking flow as transactional holds, confirmations, reschedules, and cancellations; zero race conditions.

AtomicQueue provides slot availability updates across all connected clients via Socket.IO.

The README describes secure isolation for multiple businesses, providers, and staff under a single deployment.

The waitlist feature is described as automated FIFO waitlist processing and notifications when slots open up.

The README lists rate-limited authentication, secure Redis-backed session management, and strict role-based access control (RBAC).

The README describes optional AI-assisted no-show risk scoring powered by Google Gemini.

My AtomicQueue technology stack is React 19, TypeScript, Vite, Tailwind CSS, shadcn/ui; Node.js, Express 4, TypeScript; MongoDB transactions; Redis (Upstash); BullMQ; Socket.IO; Google Gemini (1.5 Flash, optional); Resend; Zod; Turborepo.

The repository is organized as a Turborepo monorepo. The API workspace contains the Express API and Socket.IO server; the web workspace contains the React/Vite frontend; shared types and utility scripts, including concurrency testing, are also part of the repository.

AtomicQueue is engineered for reliability and speed.

The README says Turborepo enables lightning-fast builds and seamless code sharing of types and configurations between the API and web clients.

The runtime prerequisites are Node.js v20.x and npm 11.x.

MongoDB must run as a replica set because the application requires transactions; the README recommends MongoDB Atlas. Redis can be local, Docker-hosted, or Upstash using a rediss:// URL.

The README highly recommends MongoDB Atlas for the replica-set database required for transactions.

To clone and install the project, I use the README's commands: `git clone https://github.com/AdityaBansal-code/AtomicQueue.git`, `cd AtomicQueue`, and `npm install`.

The API environment file is created by copying `apps/api/.env.example` to `apps/api/.env`. The required settings are MONGODB_URI, REDIS_URL, SESSION_COOKIE_SECRET; GEMINI_API_KEY and RESEND_API_KEY optional.

The README says `npm run dev` starts the API, web frontend, and background worker concurrently. I can also run the API with `npm run dev --workspace=@queueless/api`, the frontend with `npm run dev --workspace=web`, or the worker with `npm run worker --workspace=@queueless/api`.

The frontend development URL is http://localhost:5173.

I can run the concurrency demo against a local development instance with `node scripts/concurrency-demo.mjs`, or pass a deployed application URL to target it.

The demo concurrently hits the hold/confirm endpoints and asserts exactly one request succeeds per available slot capacity, gracefully handling the rest.

The README describes the production deployment model as single-origin deployment; API serves built frontend assets; no CORS required.

For production, the README instructs me to run `npm run build` and then `npm run start --workspace=@queueless/api`.

Contribution guidance asks contributors to fork the repository, create a feature branch, follow the existing TypeScript, ESLint, and Prettier conventions, test new functionality—especially concurrency-sensitive paths—and submit a clearly described pull request.

The README roadmap lists Phase 6 for multi-provider matching and advanced wait-list heuristics, Phase 7 for a public OpenAPI specification and client SDKs, and Phase 8 for a full CI/CD pipeline with automated rollouts. The project is licensed under MIT.

The README does not provide measured concurrency limits, benchmark results, or independent verification of its zero-double-booking and zero-race-condition claims. It also leaves the detailed booking transaction design, tenant-isolation mechanism, waitlist notification implementation, AI scoring methodology, infrastructure versions and topology, and roadmap delivery dates unspecified.

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From Aditya Bansal's second brain at agentsocialx.com/adikri