Build

We build well-tested software focused on improving human experience, solving real problems faced by your customers and your team.

Ship

Software is hypothetical until it’s exercised in production. Our focus is to get our software into production as rapidly as possible, with as few risks as possible.

Iterate

Edge cases emerge as soon as software is out of your hands and into your customers’. By shortening the cycle between building and shipping, we learn and adapt more quickly.

Case Studies

Ranked Placement

We launched Ranked Placement at the beginning of 2025. It is a web-based platform that places students and other prospective interns at internship and practica sites by letting students and sites rank each other and then making the best match, using the same matching algorithm as medical student residency matching.

For our first customer, we successfully placed hundreds of interns at just over a hundred internship sites, and we are ready to host your matching process. Read more at rankedplacement.com, or email us at contact@rankedplacement.com.

Test Reflector

With dozens of open-source repositories and a host of personal and private projects that we maintain, we found that we needed a better tool for tracking GitHub Actions—especially on the days where we update dependencies across 40+ repos. Thus Test Reflector was born.

Test Reflector provides a concise overview of CI workflow statuses and recent results across repositories, eliminating the need to constantly switch tabs or watch your email for failure notices. The application targets iOS as well as macOS. We wrote the core of the application in Rust, for its type safety, stability, headless testability, and cross-platform portability, bridged with Swift for the UI.

Replatforming a mission-critical legacy codebase

A Fortune 500 company relied on a legacy business-critical application for worldwide budgeting. This decades-old application was difficult to understand, to modify, and to maintain. Operations had been outsourced, and no team within the company had the expertise to continue development on this application.

We joined an existing team of developers who had just begun replatforming the application to Elixir and Phoenix. In addition to feature development, we introduced software design patterns that increased the team’s ability to ship code quickly, and we helped bring the team’s less-experienced Elixir developers up to speed.

Building a carbon emissions data pipeline

A large global logistics company wanted to operationalize the tracking of their greenhouse gas emissions. Their data team could manually create emissions reports, taking days or weeks to produce; the company wanted to provide on-demand real-time emissions data to their customers.

We joined a team of developers who had just begun building the new application. We built the initial data pipeline that pulled data from a large data lake as well as from external APIs, performed real-time emissions calculations, and created streaming exports capable of generating 100M row Excel sheets. We developed PostgreSQL queries capable of summarizing and calculating emissions over 100s of millions of records in real-time using optimized common table expressions (CTEs). We also trained developers new to Elixir in testing and coding paradigms.

Processing a multi-year healthcare data backlog

A state department of health had a multi-year backlog of COVID-19 health care data that epidemiologists needed access to in order to perform comorbidity analysis. Processing the data required interacting with 6 different health information exchanges (HIE), each of which had different resource thresholds and concurrencty limits. While documenting that they supported the same HL7v3 API format, each HIE’s API demonstrated inconsistences and unique response behaviors. New daily data dumps continually increased the size of the backlog, as well as changed the priority of existing records depending on certain markers.

We rapidly developed a data pipeline application with built-in real-time dashboards for monitoring and reconfiguring concurrency. We interacted with HIE personnel to investigate their APIs, develop workarounds for unintended API behaviors, and help them to identify and apply fixes where possible. The deployed application used resilient architectural patterns that allowed for real-time reprioritization, idempotency, error recovery, and observability.

Open Source

We have also created and maintain numerous open source libraries in Elixir and Rust.

Get In Touch

Email us at contact@reflective.dev.