Clara is building the simplest possible interface to getting work done.
Every person on our team is involved in the thinking that creates their work - full stack in the broadest sense of the term. This means identifying, owning, and driving projects to completion.
We believe shipping early and frequently builds better products. An extreme example: we scheduled thousands of meetings entirely manually for our first Clara customers before building any software at all.
Accepting human dependency is the fastest way to building useful machine intelligence. The failure of intelligence products to date has fundamentally been a failure to build trust. It is the consequence of unreliability and lack of focus (think: Siri). Conversely, Clara has delivered a highly reliable, focused, and useful natural language interface from day one.
We’re looking for frontend, backend, and machine learning engineers to join our early team. Check out our full descriptions for each role [1], and feel free to ping me directly at oliver@claralabs.com if you have any questions!
I just moved away from Network Solutions. Their scumbag business practices just keep getting worse. "Auto renewing" your domains and forcing you to call in to turn off auto-renew was bad enough.
It takes maybe a day working with your Capistrano script to implement zero downtime deploys in Rails if you're running Unicorn, Puma, or Passenger Enterprise...
We tried experimenting with having it always be on auto-edit mode (assumed most people don't heavily rely on shortcuts) so we definitely understand that this will interrupt your flow as a power gmail user. We will be pushing the feature to disable auto-edit in the next few days and I'd be more than happy to comment here when it's out :)
Clara is building the simplest possible interface to getting work done.
Every person on our team is involved in the thinking that creates their work - full stack in the broadest sense of the term. This means identifying, owning, and driving projects to completion.
We believe shipping early and frequently builds better products. An extreme example: we scheduled thousands of meetings entirely manually for our first Clara customers before building any software at all.
Accepting human dependency is the fastest way to building useful machine intelligence. The failure of intelligence products to date has fundamentally been a failure to build trust. It is the consequence of unreliability and lack of focus (think: Siri). Conversely, Clara has delivered a highly reliable, focused, and useful natural language interface from day one.
We’re looking for frontend, backend, and machine learning engineers to join our early team. Check out our full descriptions for each role [1], and feel free to ping me directly at oliver@claralabs.com if you have any questions!
[1] https://jobs.lever.co/claralabs/