Startups Using Git in Boston

Via their job posts and information submitted by startups themselves, these are the Boston Git startups we've found.

Interested in other technologies? Browse or search all of the built-in-boston tech stacks we've curated.

Tech Stack Highlights

Ruby / Rails – We use Ruby and Rails for our web facing applications, as well as the API underlying the platform. The entire platform is deployed to Amazon AWS. We haven’t made the jump to Rails 5 yet for existing applications, but it’s on the radar.

AWS – The entire drizly platform is built on AWS. We use a variety of different services, including SNS, Redshift and Lambda, which are used heavily in our data pipeline.

React – Where possible new frontend development is done in React. We have some SPA style projects built in React, as well as a significant number of components on our e-commerce site utilizing react.

Mysql/Postgres/Redshift – Depending on the application we use a slightly different data-store. We like to be flexible, and find the right solution for the problem at hand.

SQS – We utilize SQS heavily as a background job processing system. We’ve found it to be stable, and durable, and performant enough for our use cases.

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Tech Stack Highlights

Ruby on Rails – We use Ruby on Rails because of its maturity and large ecosystem. On the front-end we use jQuery and Bootstrap, and on the backend we use ActiveRecord and Sequel to access Postgres databases.

Sidekiq and Redis – for distributed job processing capabilities.

RSpec – While not dogmatic about test-first development in all cases, we are passionate about writing and maintaining thoughtful and robust test coverage in RSpec.

Heroku and AWS – Heroku hosts our applications, managed databases, and various services such as centralized logging and distributed batch job processing. Amazon Web Services (AWS) provides file storage and simple messaging capabilities.

Bamboo – We implement continuous integration and delivery (CI / CD) via Atlassian Bamboo, deploying to production environments multiple times per day.

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Tech Stack Highlights

C++ – The majority of our codebase (Desktop & Embedded) is written in C++. This allows us to share code across platforms, and to be able to carefully control sensitive areas of code (performance and memory-wise).

Qt / QML – We use the Qt libraries throughout our code. This allows us to extend C++ with nice features for integrating various logic areas (signals / slots), as well as a tight integration with QML, which we use for our user interface code. QML is a great way to track state transitions, both on our embedded & desktop applications. Qt also makes cross-platform code easier to develop & maintain.

Yocto – Our printer runs a custom Linux distribution, which we build using the Yocto project. This system allows us to track our firmware builds & releases in a deterministic way.

Git – All of our source code is tracked in git, which provides all of our version control needs. It works nicely with Yocto to be able to exactly specify versions of firmware builds at the package level. It also allows for good collaboration between developers while preserving the cleanliness of shipping source code.

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AI-powered tech for evaluating photos of a vehicle, detecting damage, and automating claim estimation.

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Competitive gaming contests & prizes platform.

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Sensor & computer-vision predictive analytics system for controlled-environment agriculture.

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Drone & AI-powered aerial map creation for construction, with survey-grade accuracy.

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“Human behavior prediction technology” for autonomous vehicles.

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Developing AI/AR software for easier repurposing of companies’ robotics systems.

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Investor relations sites as a service for cities selling municipal bonds.

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