FlowCommand (YC W16) | Full-Stack Engineer, Data Engineer, Sensor Engineer | San Francisco | Onsite | $120k - $150k + 0.5% - 1.0% | https://angel.co/flowcommand
FlowCommand builds a new type of sensor and software system to monitor fluid infrastructure around the world for leaks, theft, spills, and performance. Fleets of our proprietary lightweight hardware generate raw acoustic data and then send that data directly to our server via cellular/satellite; we then use a mix of physics equations, signal processing, and anomaly detection to determine the behavior of fluid (volume and speed) in pipes.
A few upcoming projects:
We’re planning to send a robotic submarine 10,000 ft underwater to attach our sensors to pipelines sitting on the ocean floor, with the goal of detecting and stopping oil leaks that harm marine wildlife. Build the application that allows operators to monitor their pipeline for leaks and alert them to an impending environmental disaster.
Our Houston office has a remotely operable flow loop (ie an obstacle course for fluids) that allows us to approximate field conditions and gather raw acoustic data. The digital signal processing specialists who write our firmware need to capture test data, but the sensor processes millions of measurements per second, making it difficult to store and process the test data. Build a system that allows them to efficiently test their latest DSP algorithms under a variety of flow conditions.
Technologies we currently use
Web Apps: Python, Django, React
Data Pipeline: pandas, scikit-learn, Heroku/AWS
Sensor Firmware: C++, System Verilog
Thanks for the post. Intrigued about your HW stack. Are you looking to hire a HW person with embedded FW experience coupled with SystemVerilog experience? Are you remoteok?
FlowCommand (YC W16) | Full-Stack Engineer, Data Engineer, Sensor Engineer | San Francisco | Onsite | $120k - $150k + 0.5% - 1.0% | https://angel.co/flowcommand
FlowCommand builds a new type of sensor and software system to monitor fluid infrastructure around the world for leaks, theft, spills, and performance. Fleets of our proprietary lightweight hardware generate raw acoustic data and then send that data directly to our server via cellular/satellite; we then use a mix of physics equations, signal processing, and anomaly detection to determine the behavior of fluid (volume and speed) in pipes.
A few upcoming projects:
We’re planning to send a robotic submarine 10,000 ft underwater to attach our sensors to pipelines sitting on the ocean floor, with the goal of detecting and stopping oil leaks that harm marine wildlife. Build the application that allows operators to monitor their pipeline for leaks and alert them to an impending environmental disaster.
Our Houston office has a remotely operable flow loop (ie an obstacle course for fluids) that allows us to approximate field conditions and gather raw acoustic data. The digital signal processing specialists who write our firmware need to capture test data, but the sensor processes millions of measurements per second, making it difficult to store and process the test data. Build a system that allows them to efficiently test their latest DSP algorithms under a variety of flow conditions.
Technologies we currently use:
Web Apps: Python, Django, React
Data Pipeline: pandas, scikit-learn, Heroku/AWS
Sensor Firmware: C++, System Verilog
Mayday is actually a killer feature on a phone for Grandma. With 24/7 on-device tech support, relatives would never have to field tech support requests.
If the original (non-Fire) Kindle is any indication; no. I gave mine a pre-Paperwhite Kindle and she loved it. Then someone bought her a Kindle Fire ("If you like that you'll LOVE this. You can play games!"). She hated it and went back to the regular Kindle.
Turns out, if she wants to play games she'll grab a deck of cards.
You're questioning whether someone wants a phone without easily available support? I'd venture to say if anyone marketed a phone with a 'feature' like that, it wouldn't do well.
Or are you questioning whether a grandmother want's a smart phone? The answer is yes.
Unfortunately, there are grandma's who are practically forced to have a smartphone "since the family plan has data" and...they would probably like live support (I'm just saying they do exist).
Wonder how large the cross-section is of people that could use that feature versus people that could remember / figure-out how to initiate that feature.
FlowCommand builds a new type of sensor and software system to monitor fluid infrastructure around the world for leaks, theft, spills, and performance. Fleets of our proprietary lightweight hardware generate raw acoustic data and then send that data directly to our server via cellular/satellite; we then use a mix of physics equations, signal processing, and anomaly detection to determine the behavior of fluid (volume and speed) in pipes.
A few upcoming projects:
We’re planning to send a robotic submarine 10,000 ft underwater to attach our sensors to pipelines sitting on the ocean floor, with the goal of detecting and stopping oil leaks that harm marine wildlife. Build the application that allows operators to monitor their pipeline for leaks and alert them to an impending environmental disaster.
Our Houston office has a remotely operable flow loop (ie an obstacle course for fluids) that allows us to approximate field conditions and gather raw acoustic data. The digital signal processing specialists who write our firmware need to capture test data, but the sensor processes millions of measurements per second, making it difficult to store and process the test data. Build a system that allows them to efficiently test their latest DSP algorithms under a variety of flow conditions.
Technologies we currently use Web Apps: Python, Django, React Data Pipeline: pandas, scikit-learn, Heroku/AWS Sensor Firmware: C++, System Verilog
Please reach out at jobs@flowcommand.com