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Startups Using jQuery in Boston

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

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

Teacher / parent / school survey platform and data analytics.

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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Non-signature-based cyberattack detection, using AI to detect unusual activity on the network from insiders or unknown threats.

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

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Cybersecurity for industrial infrastructure.

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“A full suite of cloud-based compensation data management tools [integrating] all your data and survey sources.”

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Yahoo Pipes for big data. Drag-and-drop dataflow creation for easy custom analytics.

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Recruiting sourcing as a service, plus video interviews.

Tech Stack Highlights

React.js – We use both React and Vue for our front end work. We’ve been quite happy with React but are even happier with Vue for it’s flexibility and because it’s model is more familiar.

PostgreSQL – We use Postgres as our database. Postgres is most attractive for us do to it’s strict SQL compliance as well as for Postgis, which we will be using for some of our product. We’re also using the Postgres JSON functionality for some portions of our application which are not easily modeled using a relational database.

Python – Our backend is written entirely in Python, which we find to be highly productive and elegant. We use Django as our backend framework. We get a lot of value from the ORM as well as from Django REST framework – and from the Django admin.

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Platform for retail product sourcing, production, and supply chain management.

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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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