Technician helps you get your pull requests merged faster. We do this by listening to your check run logs for failures and provide suggested changes that you can instantly commit to your branch.
I got my start with entrepreneurship at 8 years old, when I grew a blog about Club Penguin to 250,000 visitors. I've had a few other gigs since then, and I grew a strong passion for machine learning which became the basis for Technician.
tl;dr: Robots produce a lot of data, and itβs a challenge to collect and manage all of it. Our infrastructure enables companies to easily collect, offload, and make use of sensor data.
Howdy, YC! Iβm Alec Bell from SensorSurf. I love robots, and Iβm writing software to make it easier to build them.
Robots generate absurd quantities of data. A single self-driving car produces up to 1.5 petabytes/year (source). Developers need access to this data to diagnose issues, train models, and run simulations; but itβs hard to get a hold of since its clunky and sits on an edge device. Robotics companies currently build data infra in-house, which is extremely costly.
SensorSurf offers the infrastructure to collect, offload, and make use of sensor data. Users can specify where, when, and what data to collect. From there, they can selectively offload it, run queries on it, visualize it, and put it to work for purposes like debugging, annotation, and analytics.
Robotics companies install a tiny agent on their robots, which allows us to establish a connection to our services and observe their system. We can then collect data across a fleet of robots and help users manage/search it in the cloud, accounting for network constraints that our customers may experience.