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.

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

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“AI-powered customer analytics platform for marketing ops.”

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Farm-share model for solar power. Lets residents who can’t install solar panels on their own roof purchase a share from a nearby ‘solar garden’.

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Biometric-secured, blockchain-verified online voting.

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“Find, compare, and review doctors.” Reviews are individually human-moderated.

Tech Stack Highlights

Ruby On Rails – We use RoR for our core site implementation, enabling users to search for medical Providers and easily leave ratings & reviews. Our web pages are built using Bootstrap, HAML, SASS and Javascript technologies. We’ve built a data model system in Python that replaces ActiveRest. That model system is shared as a reusable Library by many of our other applications.

Postgres & Redis – All this is backed up by RDS instances in AWS running PostgresDB. We heavily use Redis and SOLR for data caching and queue management.

Flask/Python – The rest of our apps and services – Email systems, data analysis, internal tools – all run in Python based Flask/Flask-Restless environments.

ELK – Our logging system is run as an Elasticsearch-Logstash-Kibana stack utilizing Filebeat and Logspout for streaming the log output. From this stack we’ve also created a comprehensive Technical SEO Dashboard where we can monitor crawlers and their activity and measure the cause & effect on new site features.

DevOps – Our apps are deployed using Docker Swarm orchestration via Ansible scripts for independence from specific cloud providers. We’ve built a structure with Docker in a Blue/Green deployment methodology so there is zero downtime when releasing code updates. The system is front ended with Jenkins-CI for automated execution of Unit/Integration/Acceptance test suites.

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

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