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Go for backend services, Node and Typescript for our web services, Next.js and React/Typescript on the frontend. We run on AWS with Kubernetes for containerization, and gRPC and protobufs for internal service communication.

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. Mobile apps are currently native and use JavaScript in webviews where appropriate. Our data infrastructure, which drives our data science and business intelligence efforts, is primarily in Python. We periodically evaluate adding other languages into our codebase for ecosystem or performance reasons; philosophically, we try hard to standardize on a few languages and toolchains so that investments in tooling can be leveraged across larger fractions of our engineering effort. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for logging, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

Infrastructure: AWS, Cloudwatch, Kubernetes, Ingress, Helm, Route53, Nginx, Jenkins, Sentry, RDS / PostgreSQL, Redis, Istio.

Backend: Python 3, Flask, Redis, RDS / PostgreSQL, Peewee, Nginx, Kubernetes, Docker.

Frontend: TypeScript, Vue.js, Capacitor, SASS, Vuetify.

Ruby/Rails, React/Typescript, Postgres, Snowflake, SQS, Heroku

NextJS, React, Typescript, GraphQL, Kafka, Python, Django

Frontend: React Native (TypeScript), React (TypeScript). Backend: Django + Celery (Python), Redis, Heroku, AWS S3, AWS Aurora (PostgreSQL).

We use Python and PostgreSQL on our backend. On our frontend plugins, we use Javascript and React.

On the backend, our stack runs on Python3 in combination with GraphQL, on top of AWS infrastructure like Lambda & ApiGateway, to deliver the best experience and value to our customers.

On the frontend, we currently have three clients: web, iOS, and Android. Our existing web stack is an AngularJS (also known as Angular 1) app, within which we have (more recently, i.e. past year) been writing React components. The new stack is entirely React, written in Typescript, and includes modern libraries for things like state management, api requests, analytics, and error handling. It’s also built in such a way that we can package it as a native iOS/Android app, getting us closer to our goal of writing ~once while deploying on all 3 platforms. The iOS stack is Objective C and Swift and the Android’s stack is Java and Kotlin.

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

Clojure, React, Postgres, AWS, Git

Go, Kotlin, Python, Typescript

Python, Django, React JS, AWS

React, TypeScript, Go, MySQL, AWS, Vercel

Frontend: Typescript, React… Backend: Python…

Qualified is a modern web app with a React UI interfacing over GraphQL, REST, and WebSockets with a Ruby on Rails backend. The data and messaging layers are built on PostgreSQL, Redis, and ClickHouse.

Backend: Ruby on Rails, MySQL, Elasticsearch, Lambdas Frontend: React Infrastructure: AWS, Docker, Terraform CI: GitHub, Jenkins

React.js, React Native, Typescript, Python, Zappa, Serverless Framework, Django, AWS, PostgreSQL, Kinesis, S3, Glue, Jest, Selenium, Pytest

Typescript, React, Redux, Node.js, Prisma, Postgres, DS, EC2, AWS Lambda, Playwright

AWS, Angular 10, Go 1.14, Java 8+, Postgres 11.5, Rails 6, Ruby 2.7+, Terraform, TypeScript 3.5

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

Core: Python Frontend: react, typescript, 3js Backend: PostgresQL, AWS 3D graphics: openGL, C++

Full-stack: TypeScript

Backend:

• NestJS
• GraphQL
• Graphile Worker
• Postgres

Frontend:

• React
• Next.js
• Tailwind

Other:

• Vercel
• Semaphore CI

Python, JavaScript, Ruby, Unix, Linux, React.js, Ruby-on-Rails, Ajax, Docker, SQL, Apache, Amazon-web-services, DataDog

At Noyo our primary tech stack is Python/Flask for our backend services (typically on top of PostgreSQL); our frontend web applications are built using React. We are a cloud-native company, we deploy everything on Google Cloud Platform via a combination of Kubernetes and serverless applications.

Backend: Ruby on Rails. Frontend: ReactJS + Typescript.

Frontend: React (Typescript). Backend: NestJS (Typescript), TypeORM, Postgres. Hosting: AWS (ECS, RDS, S3 + Cloudfront). Dev-ops: CircleCI, Terraform.

AWS, DynamoDB, Go, InfluxDB, Kubernetes (EKS), PostgreSQL, Python, ReactJS 16+ (Hooks), Swift, Terraform

APIs & Services: python+flask, thrift for API specification.

Backend infrastructure: AWS tools (S3, SQS, SNS, etc.). Graylog for logging. Cloudwatch, Icinga, PagerDuty for monitoring. Jenkins for CI/CD. Airbrake for exception monitoring.

Releasing: Regular releases from master twice weekly + Out-of-cycle releases when needed to facilitate the roll-out of specific features.

Mobile: Kotlin is our primary language for our native Android apps. Swift3 is our primary language for our native iOS apps.

Front-end Web: React, hooks, redux, typescript & modern javascript.

Python for our backend code, and the code that runs on the reactors. ES6 and Typescript on the frontend. We use React embedded into a flask site. We have a few different APIs, but we primarily use GraphQL.

Our web services are written with Ruby (Rails) on the backend and Typescript (React) on the frontend. We use GraphQL for most client-server communication, along with a few protobuf APIs for server-server communication. Our services are powered with Kubernetes and hosted on AWS.

Node.js / Typescript, Python, React, Postgres, GraphQL with Hasura, BigQuery (columnar), PyTorch, Pandas, Jupyter, Spark, PySpark, Keras + Tensorflow, XGBoost, LightGBM, Kubernetes, Docker, GCP

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.

Python, Flask, Javascript, React, HTML/CSS, Sass, React Native, Expo, GraphQL, Postgres, Redis, Heroku, AWS

Clojure backend, React front end, MongoDB, Kubernetes, AWS. Full stack here.

Python, Flask, React, React Native, AWS, Postgres, Redis, Docker, Terraform, PyTorch

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

Product: React, Next.js, and TypeScript. Infrastructure: Go, Cadence, Presto, Flink, Kubernetes, and Terraform.

Ruby on Rails core application including Hotwire and Turbo. React, Alpine.js for dynamic front-end functionality. PostgreSQL. Our philosophy is keep it simple, don’t reinvent the wheel, and have great test coverage so we can refactor safely with ease as the product evolves.

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.

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.

Web - Node, React, Python, PostgreSQL.

Mobile - React Native, Swift (iOS) / Java (Android).

Backend: Node.js, Express, MongoDB/Mongoose, Testing (Jest, Supertest, Nock), Cloudflare. Frontend: Angular 1, React. Hosting/Infrastructure: Heroku, MongoDB Atlas, GitHub, Codeclimate, CircleCI.

Dark’s backend is written in a combination of OCaml, Rust, and Dark (that’s right, Dark is partially built in Dark!). We use Kubernetes and Postgres, running on top of Google Cloud.

Our frontend is also in OCaml – we don’t expect you to know OCaml before you join, and you typically learn it in the first few weeks. We compile the OCaml to JS using Bucklescript/ReasonML, and use a framework similar to Redux or Elm for managing state.