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Node.js & Express backend, Golang CLI, Postgres database, Google Cloud

We put a lot of care into how we ship code. Shipping fast starts with serious investment in tooling, like continuous deployment with multiple pushes per day. Shipping sustainably is about more than just effective work – it requires commitment to creating an environment where people can focus and get creative. Our tech stack includes:

React JS, TypeScript, Scala, Node.js, AWS, Graphite, Redis, DynamoDb, Kubernetes, MySQL, Python, Amazon Redshift, Swift, Kotlin, GraphQL, Swagger, ZooKeeper, Envoy

Python, Airflow, Docker (Marathon/Mesos), Snowflake (currently migrating from Redshift), Databricks (Spark on EC2), GitHub, Kafka, Segment.io, Fivetran, AWS (S3, Kinesis Firehose)

GitHub is a Rails 4 application that is composed of a large monolith and a constellation of services written in Ruby, Go, and a handful of other languages. The app and its services are exposed both internally and externally via a GraphQL API. We primarily rely on MySQL for persistent storage, Redis for temporary storage, and, as you might expect, a lot of git repositories. We rely on Kubernetes for container orchestration.

Our backend is written in Kotlin using the SparkJava framework on top of a Postgres database. We use the React framework written in Typescript on the frontend, Jenkins for CI/CD, and our infrastructure is fully deployed on AWS, dockerized and managed by Terraform.

We believe in choosing technologies pragmatically, balancing tradeoffs between widespread support, power, and accessibility. Our primary language is Python, augmented with C/C++, PyTorch, and other extensions. We use code tools like Bazel, mypy, and automatic formatters to reduce the cognitive overhead of our work, and ops tools like Docker and Salt to automate operational burdens. Our code runs in a variety of environments, including AWS, Google Cloud, professionally-hosted private clouds, and most importantly, on our own servers at customer sites. We collaborate and document our work with Slack, GitHub, Jira, and Confluence.

Airtable’s core stack is written using JavaScript, augmented with static type checking and other tools. We use Node.js on the backend, and mostly-React on the frontend, but our application requirements drive a substantial amount of custom software architecture; that is, Airtable is pretty far from a boilerplate “React + Express” application. We also periodically evaluate adding other languages into our codebase for ecosystem or performance reasons. Mobile apps are currently written in the standard platform language, mixed with JavaScript in webviews where appropriate. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for data collection, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

Swift, JavaScript, TypeScript, Native iOS, UIKit, Combine, Node.js, Vapor Swift, React, Next.js, Postgres, MongoDB

React Native, React, Ruby on Rails, Go

Rails 5.2, Ruby 2.3.7, Python, R, PostgreSQL 9.6, React 0.17, AWS, Docker, RabbitMQ, Sidekiq, Snowflake

JavaScript, Python, Node.js, React + React Native, AWS Lambda, Spark, Kinesis, MongoDB, Redshift

Node.js, React.js, Redis / Mongo, AWS, Kubernetes / Terraform / Docker

React, Node.js, Python, Java

We’re on service-oriented architecture. Our backend is composed of a collection of Java services that communicate via RPC. Our frontend web stack is a React/Redux application. We use Objective-C and Swift in the iOS app and Kotlin in the Android app. Our data infrastructure is cloud native in AWS and includes S3, EMR, Redshift/RDS, Lambda, and ECS.

Elixir/Phoenix, Ruby/Rails, Javascript, React, PostgreSQL, Elastic, Kafka, Heroku, and Google Cloud Platform

React, React Native, Node.js, Elasticsearch, Redis, Heroku, AWS

Ruby, Rails, Javascript, React, MySQL, Kubernetes

Ruby on Rails, MongoDB, Knockout.JS, Go, AWS

Node.js, Postgres, AWS, Terraform, Ansible, React

Our main web service is in Node.js, and most other services are in Python (mostly machine learning services, using Keras, Tensorflow, etc). Our frontend is React + Redux, database is PostgreSQL, and services run in a Kubernetes cluster hosted on Google Cloud Platform (Google Kubernetes Engine).

Frontend: React, Relay, Flow, Jest, Enzyme.

Mobile: React Native, Apollo.

Backend: Ruby on Rails, Postgres, GraphQL, Python, RSpec, Java.

CI: GitHub, Buildkite.

Infrastructure: AWS, Python.

Python, AWS, Spark, ElasticSearch, Docker, Airflow, Kubernetes

On the frontend, we use TypeScript, React, Redux, GraphQL, Apollo. On the backend, we use Node.js, Go, TypeScript, MySQL, Elasticsearch, Redis. Everything is containerized in Docker and running on Kubernetes.

Web: PHP, JavaScript, TypeScript, React/Redux, MySQL, Docker, and Elixir.

Mobile: Kotlin, Swift, Java, Objective-C, React Native, and Electron.

Systems: Docker, Nginx, PHP, C, Lua, MySQL, MongoDB, Node.js, Statsd, Graphite, Prometheus, Elasticsearch, Logstash, Hadoop, MogileFS, HDFS, and BGP.

Data: Hive, Impala, HBase, Spark, HDFS, Python, Java, Scala, Kafka, Elasticsearch, MySQL, Solr, and Lucene.

AWS rds + mysql for data storage API is in python + flask apache thrift for interface definition android app is in java ios apps in swift 3 front-end web is in python, flask, node, and react

Backend: Ruby on Rails, Postgres, Elasticsearch, Google Cloud Platform, Kubernetes.

Frontend: Typescript, React, Redux.

Data: BigQuery, BigTable, DataFlow, DataProc.

Ruby on Rails, Elixir, React.js, GraphQL, Node.js, AWS, Redis, Spark & Scala (Data team)

Frontend: express, react, redux, bootstrap. Middleware: express. Backend: everything but dominantly GoLang running on AWS.

Backend: Node + Express, Typescript, Go Microservices. Frontend: Next.js, React + Hooks, Storybook. Infrastructure: Heroku + AWS, CircleCI, DataDog.

Blog Post on our Tech Stack

Lever uses our own open source MVC framework called Derby that syncs all data via Operational Transformation (the algorithm behind Google Docs). OT is the way we handle concurrency conflicts for any piece of data that is edited at the same time. In addition to real-time sync, OT allows us to provide a smoother UI since we can render updates on the client instantly without waiting for our backend to respond, while still guaranteeing consistency.

Lever makes extensive use of AWS, Docker, Node, Mongo, ElasticSearch, and Redis within our infrastructure. We use tools like Hubot to streamline deployments and Grafana to see what’s going on under the hood. In addition to automating all the things, we love to version them too! Our systems are all created using Terraform and Chef, working together to ensure consistency at all costs.

The YC internal software is mostly written in Ruby on Rails and React. We’re hosted on AWS and PostgreSQL. Some experience developing web apps would be helpful, but we don't care if you've used Rails before.

Note: Hacker News is written in Lisp, but Hacker News is run by a separate team. While we don't use Lisp anymore in our internal software, we retain the original motivation for it, and welcome Lisp hackers to join us.

Ruby / Javascript / Python / Golang, Sinatra / Rails / React, MySQL / Mongo, Presto for data warehouse, Docker / Kubernetes for deployment, REST / JSON / gRPC for service communication

C#, Asp.Net MVC, Asp.Net Core

LAMP / LEMP, Laravel / Zend, Node.js, AWS, Redis / Memcache, Ubuntu / CentOS, MySQL / Mongo, VanillaJS, VueJS, HTML5 / CSS3, Angular / Backbone / Ember / Ionic