Startups Using Segment in Boston
Via their job posts and information submitted by startups themselves, these are the Boston Segment startups we've found.
Interested in other technologies? Browse or search all of the built-in-boston tech stacks we've curated.
Knowledgebase within your Slack to organize and share information with your teams.
Tech Stack Highlights
Draft.js & React – We recently rebuilt our text editor from the ground up on top of Draft.js. Building on Draft.js lets us create a smooth, rich editing experience that gets out of the user’s way so they can focus on sharing great content with their team. We also use Babel and Webpack to transpile and bundle up our front-end assets.
Slack – Tettra is built on top of the Slack platform. We use Slack for login and authentication and have built in notifications and slash commands. Our CEO even wrote an article about it.
PHP/Laravel – Our web application is built on the PHP web framework Laravel. Laravel comes with a ton of great building blocks including an ORM, queuing system, templating framework, and a prebuilt Vagrant box (VM) for local development to get us up and running and keep iterating quickly.
GitHub/Travis/Heroku – We use a combination of GitHub, Travis and Heroku for our continuous integration/deployment process. All pull requests get code-reviewed by a team member and have tests run automatically. Once code is merged to master, Travis runs the build and deploys to our staging environment on Heroku. We use the Heroku pipeline feature to promote staging code to production.
Intercom – At Tettra, everyone talks to customers. We use Intercom to get user feedback directly in the app, resolve bugs and inform our product process every day.
Tech Stack Highlights
Ruby on Rails – We’re a Ruby on Rails application running on Heroku with PostgreSQL as our primary database and Redis available for ephemeral data. We use the Fastly CDN for our assets and Cloudinary for file management, in particular, image management. For search, we leverage Postgres’s full-text search with the pg_search gem.
Segment and Redshift – We use Segment to collect analytics about the usage of our app. We use their analytics-ruby gem and analytics.js library for back-end and front-end analytics respectively. We then leverage them to pipe the data into an Amazon Redshift data warehouse where we can analyze the data. Recently implemented Chartio to visualize that data with dashboards.
CircleCI – We use continuous deployment as our deployment strategy. Every pull request is code reviewed in GitHub and deployed to an integration environment where it’s available for the reviewer, the developer, and anyone else in the organization to test and review. Additionally, we have a suite of thousands of unit tests built on MiniTest and feature tests built on Capybara, running continuously on every commit with CircleCI. Assuming it passes all our checks, manual and automated, it’s then merged into master and deployed to production by Heroku.