Startups Using PHP in Boston

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

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

Mobile video sharing app for friends and family.

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“Really simple room scheduling & analytics.”

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Personal fertility analytics to help couples get pregnant in less time.

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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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Daily deals on consumer goods.

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Mobile application platform for colleges and enterprise.

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Employee performance prediction tools for hirers / recruiters.

Tech Stack Highlights

MySQL – MySQL is used to provide the main data storage for all business critical information such as user data, jobs, candidates, assessments meta-data etc. We use NDB cluster as well as full redundancy real-time back-up server. Additionally the data is archived hourly, daily and weekly. When it comes to data security – nothing is ever too much.

MongoDB – Thousands of data points a minute are streaming to our servers in the form of user responses to pre-employment assessment answers. This data constitutes the main material for later analytics. Mongo’s Sharding technique allows us to employ multiple low cost instances to handle all this data in parallel fashion. Like MySQL data, No-SQL data is fully redundant and backed up on regular basis.

Python/R – Both Python and R are used to automate the data analytics, required for creating job-success predictions. While Python provides a much more versatile and reliable development environment (especially with modules like NumPy, Pandas, etc), R still has advantages in certain areas. Python’s rpy2 module make the two work together pretty decently.

Apache/PHP – Since our web application is a single-page app, the web service is mainly used as a REST-style backend that interacts with the browser by sending back-and-forth JSON packages. Memcached allows to maintain single state between all web instances. Other great tools like WKPDF (that is used for server-side web rendering) for creating downloadable materials, etc.

JavaScript/Web MVP – On the client we took a rather unorthodox approach of creating our own MVP framework that connects seamlessly with the backend, and makes the entire development cycle much faster. The framework that we created (ElementsJS) makes use of jQuery as well as multiple open-source jQuery plug-ins, while binding them together in a simple to use JavaScript API.

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Help desk software for better customer service.

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Lesson plan collaboration platform for educators.

Tech Stack Highlights

Flask / Python – We used Flask initially to power our API, but we liked it so much that we started to move most of our critical backends to it. Flask’s flexibility allows us to swap front-ends from Handlebars (used in emailing) to ReactJS (used in rest of applications) without much hassle.
React – We use ReactJS to built most our critical applications. Most of our React components are stateless, and we have created our own flavor of Redux/Flux, as well as routing, over the years.
Node – We use Node mainly for server-side rendering. We run it as a side process for Flask to communicate to and don’t actually expose node externally.
Statamic / PHP – We use Statamic to build and serve a lot of our static content pages, including internal Q/A sites, and external public pages, such as our team, and contact pages.
AWS Lambda – We use Lambda to handle a lot of file processing, such as image rotation/resizing, PDF generation, and producing quick previews of webpages that our users might link to.
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Social media and blogger influencer identification.

Tech Stack Highlights

ElasticSearch – At the heart of it’s product, Traackr is a search engine. We leverage ElasticSearch for it’s relative simplicity of deployment while providing incredible powerful and fast search results even when used with complex queries against billions of documents.

AWS – As a SaaS business with the need flexibility to deploy new solutions or scale existing systems rapidly. AWS gives us that advantage and offer many complementary services to build advanced system quickly.

Git – “Just the code repo” right? With a distributed team and an agile process, git is very important to us. From Pull Requests for code review to CI and automatic deployments, git is always in the middle of it.

MongoDB – This NoSQL database has been a lifesaver for us. Easy to get started with it, the document model allowed us to scale quickly at the beginning when we were just discovering how to best index the unstructured (aka messy) web.

PHP/CakePHP – Good old boring PHP! Maybe not the most fancy language these days, but the incredible amount of libraries available and its sheer robustness (thousand of sites are build on it, hundred of thousand of developer are fluent in it) makes it a champion to build a production and enterprise ready solution.

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