We bought it with watery eyes, but let's just say not over-hiring helps a lot with the burn rate ;)
408 karma · joined September 8, 2011
https://radar.com Radar Labs is a location infrastructure SaaS platform.
We've recently raised our Series C and are a small, but mighty engineering team (9 engineers!). We're based across the US, with an HQ in NYC in Union Square.
There's a ton of opportunity to make an impact and work on a variety of things, as we're a pretty fluid team:
- Infrastructure (e.g. Evaluate our production workloads on ARM64 and build out our AWS stack with Terraform CDK)
- Platform (e.g. Build out abstractions for our product engineers to ingest and compute geo queries at high-scale)
- Data (e.g. Process, deduplicate, and evaluate 10s of millions of POIs from a variety of vendors and open data)
- Mobile (e.g. building a control system that automatically configures optimizing battery-life and location accuracy for different use-cases over time)
- Product (e.g. build tools to visualize and debug location data at scale)
We power location experiences for over 100M devices, serving over 10k QPS of geo queries. The numbers are growing day-by-day!
Check out our jobs page here: https://radar.com/jobs
If you have any questions, feel free to reply here or you can e-mail me at jeff@
https://radar.com Radar Labs is a location infrastructure SaaS platform.
We've recently raised our Series C and are a small, but mighty engineering team (9 engineers!). We're based across the US, with an HQ in NYC in Union Square.
There's a ton of opportunity to make an impact and work on a variety of things, as we're a pretty fluid team:
- Infrastructure (e.g. Evaluate our production workloads on ARM64 and build out our AWS stack with Terraform CDK)
- Platform (e.g. Build out abstractions for our product engineers to ingest and compute geo queries at high-scale)
- Data (e.g. Process, deduplicate, and evaluate 10s of millions of POIs from a variety of vendors and open data)
- Mobile (e.g. building a control system that automatically configures optimizing battery-life and location accuracy for different use-cases over time)
- Product (e.g. build tools to visualize and debug location data at scale)
We power location experiences for over 100M devices, serving over 10k QPS of geo queries. The numbers are growing day-by-day!
Check out our jobs page here: https://radar.com/jobs
If you have any questions, feel free to reply here or you can e-mail me at jeff@
https://radar.com Radar Labs is a location infrastructure SaaS platform.
We've recently raised our Series C and are a small, but mighty engineering team (9 engineers!). We're based across the US, with an HQ in NYC in Union Square.
There's a ton of opportunity to make an impact and work on a variety of things, as we're a pretty fluid team:
- Infrastructure (e.g. Evaluate our production workloads on ARM64 and build out our AWS stack with Terraform CDK)
- Platform (e.g. Build out abstractions for our product engineers to ingest and compute geo queries at high-scale)
- Data (e.g. Process, deduplicate, and evaluate 10s of millions of POIs from a variety of vendors and open data)
- Mobile (e.g. building a control system that automatically configures optimizing battery-life and location accuracy for different use-cases over time)
- Product (e.g. build tools to visualize and debug location data at scale)
We power location experiences for over 100M devices, serving over 10k QPS of geo queries. The numbers are growing day-by-day!
Check out our jobs page here: https://radar.com/jobs
If you have any questions, feel free to reply here or you can e-mail me at jeff@
https://radar.com Radar Labs is a location infrastructure SaaS platform.
We've recently raised our Series C and are a small, but mighty engineering team (9 engineers!). We're based across the US, with an HQ in NYC in Union Square.
There's a ton of opportunity to make an impact and work on a variety of things, as we're a pretty fluid team:
- Infrastructure (e.g. Evaluate our production workloads on ARM64 and build out our AWS stack with Terraform CDK)
- Platform (e.g. Build out abstractions for our product engineers to ingest and compute geo queries at high-scale)
- Data (e.g. Process, deduplicate, and evaluate 10s of millions of POIs from a variety of vendors and open data)
- Mobile (e.g. building a control system that automatically configures optimizing battery-life and location accuracy for different use-cases over time)
- Product (e.g. build tools to visualize and debug location data at scale)
We power location experiences for over 100M devices, serving over 10k QPS of geo queries. The numbers are growing day-by-day!
Check out our jobs page here: https://radar.com/jobs
If you have any questions, feel free to reply here or you can e-mail me at jeff@
However, I think saying that there is "no good measure tape available" might be intellectually dishonest since we can probably come up with a rough model to optimize for the minimization of global suffering of all beings involved.
Obviously, most mental models have a higher weight biased for humans rather than animals, so a suffering factor for humans would have a higher multiple than for animals. That is where most of the controversy seems to be.
I can see why it's a little confusing. You can't snipe people remotely; you can only snipe someone if you type the snipe command on their laptop (which implies they left their laptop unattended). So given that, I can't snipe other people from my laptop as my user; only myself.
We were inspired by the “12 Startups in 12 Months” movement, so we wanted to ship something before the month ended. We built this app as a light-weight and fun way to keep track of unlocked laptops which we constantly saw at our workplaces.
The current stack is pretty standard: Gitlab CI to GKE via Helm, Ruby on Rails, Redis, Postgres, and an EFK logging pipeline. We’re planning on re-using this setup for our next set of apps and will write a blog post on our development strategies for velocity.