Cardiogram

Save lives using wearable heart rate data

< 10 employees

< 10 engineers

$5m - $10m funding

Series a

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Cardiogram is a mobile app that uses your wearable data—like the Apple Watch, Fitbit, Android Watch, or Garmin device—to detect medical conditions. Our ML algorithm can detect 4 conditions: Sleep Apnea, High Blood Pressure, Atrial Fibrillation, and Diabetes. We've validated the algorithm in multiple clinical trials in partnership with UCSF Cardiology.

Our mobile app is available on the App Store and Play Store—anyone can download the app for free! We have ~2M registered users, and close to $1M ARR from Premium subscriptions. We're looking for engineers to help us build the next version of our mobile/web app; improve and create new features to help our users uncover insights from their wearable data and receive actionable insights; and build mechanisms to motivate behavior change, potentially using creative social or gamified techniques.

Come join us to help people with their health journeys, and ultimately help improve our users' health and quality of life!

Why join us?

Our software saves lives — We had one Cardiogram user who realized he had an abnormal heart rate while on a run. This knowledge saved his life. An Iraq war veteran is using Cardiogram to manage his PTSD. We've also seen surprising ways in which users are using Cardiogram to track and share heart rate data—for example, here's a Wall Street Journal write up of a user's heart rate while watching Game of Thrones.
We are growing fast — The app has been growing super fast, and we were named the Best iPhone app of 2016 by iMore.com. We have ~2M registered users, ~750k active wearable users, making us one of the largest Apple Watch applications.
We're collaborating with researchers from prestigious institutions to make our app better — Our unparalleled scientific rigor makes us unique amongst other consumer wearable companies out there. We can now detect 4 medical conditions using consumer wearables: Sleep Apnea, High Blood Pressure, Atrial Fibrillation, and even Diabetes. We’ve been running clinical studies with UCSF Cardiology since 2016, have published in JAMA, AHA, HRS, NIPS, AAAI, and our work has been featured in the WSJ, Wired, CNBC, TechCrunch, and more.
We have great investors — We are funded by Andreessen Horowitz, a prominent Silicon Valley VC firm that made early investments in Facebook, Airbnb, Twitter, Pinterest, Skype, Zynga, and Groupon.

Engineering at Cardiogram

Technical Challenges

Mobile —The average health app loses 92% of its users in the first seven days. Can we build a user experience as engaging as Facebook or Snapchat, but designed to help our users live healthier and happier lives? Can we produce intuitive visualizations, that take complex medical concepts and make them seem simple and obvious to everyday users? We value mobile and frontend engineering deeply because our app is our lifeline to end users.

Data Infrastructure — With 30 billion sensor measurements, we're already one of the largest health studies in history; as an engineer at Cardiogram, you'd use tools like Spark for distributed processing.

Machine Learning — In medicine, each label represents a human life at risk—so engineers at Cardiogram work on machine learning techniques that use massive amounts of unlabeled data, such as semi-supervised, unsupervised, or one-shot learning methods. We're also interested in using recent advances like deep generative models, attention, dilated convolutions, and neural Turing machines, since each percent increase in accuracy translates into lives saved.

Tech stack

React

Node.js

Webpack

PostgreSQL

RabbitMQ

Apache Spark

JavaScript

Swift