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Startups Using Bootstrap in Boston

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

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

KAYAK for car insurance. Quick, personalized car insurance quotes from multiple providers.

Tech Stack Highlights

Python – We’re using python for our core app, with Django/DRF powering our REST API, NLTK for NLP, and pandas running high-performance real time data analysis to calculate things like RateRank and savings estimates. We use Vagrant and Ansible for IT automation, and Jenkins and Selenium for QA automation and deployment to our AWS environment.

MariaDB – Our database runs Maria on RDS, for optimal MySQL-syntax performance. We crunch a lot of data in each query, so performance is key. Some of our queries approach 100 lines long, with multiple nested queries, dozens of joins, and layered aggregation, and we run some queries thousands of times per day.

Backbone – Backbone provided us “just enough” structure for our highly custom front-end MVC, while allowing us to build our own proprietary routing & workflow engine around it. We’re using epoxy for 2-way data-binding, and jQuery + Bootstrap plugins, in addition to dozens of proprietary UI components.

Bootstrap – Our mobile-first-responsive CSS uses Bootstrap as a baseline, but builds upon it to form a highly-customized, well-organized extensible style-guide with our own unique components and layouts. We’re using SASS class-extension, selector-nesting, and custom mixins under the hood to generate our CSS.

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Cybersecurity platform to detect threats coming from compromised user accounts.

Tech Stack Highlights

Apache Spark – We use Spark, Spark Streaming, and the Apache Kafka frameworks for fast in-memory compute, real-time streaming, and lambda architecture. These technologies power our cyber threat detection, remediation and visualization software.

Cassandra – Our platform relies on Apache Cassandra NoSQL database for long-term data analytics and reporting. We use Elasticsearch for real-time search and analysis and Redis for in-memory cache.

Docker – We’re built on a Docker container micro-services architecture and Ansible DevOps orchestration framework for flexible bare-metal, virtual machine & cloud deployments.

Angular.js – We use the Angular front-end framework with D3.js, and NodeJS on the backend.

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“Dropship eCommerce Automation” – inventory syncing & management across vendors.

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Small business customer reward & local referral platform.

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Restaurant point of sales software for Android tablets.

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Software and hardware for training robots.

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Search marketing / PPC software.

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Affordable high-resolution 3D printers.

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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