mshuffett

Joined 10 years ago

Karma
46
Submissions
24
Member since
Feb 20
YC Badge: 0xec20cac07ad8b33248b140cbf48b5641937716c8
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Recent submissions

Comment · 4 years ago
Thanks, appreciate your support!
Comment · 4 years ago
Comment · 4 years ago
We haven't launched our Premium plan yet. We can let you know when we do!
Comment · 4 years ago
We actually just didn't do a Launch HN post till now.
Comment · 4 years ago
Comment · 4 years ago
Thanks a lot. Any feedback is very welcome!
Comment · 4 years ago
Thanks for the thoughts here. Will follow-up over email!
Comment · 4 years ago
Not sure if I fully understand the idea you are suggesting here. I have certainly thought quite a bit about: 1. Summarizing email 2. Extracting intents from emails

But it sounds like you are suggesting something a bit different.

Comment · 4 years ago
Let's see how quickly we can get there ;)
Comment · 4 years ago
We've looked at things like this or federated learning as well. Definitely will keep our eye on it as we continue.
Comment · 4 years ago
We have an emoticons feature as a work in progress and we are continuously experimenting with personalization!
Comment · 4 years ago
Comment · 4 years ago
Comment · 4 years ago
What I mean by end-to-end encrypted here is during transportation and at rest (not that it is never decrypted in memory). As you are pointing out, it obviously has to be in memory as clear text at some point. But that is being done on a private VPC and only very briefly.
Comment · 4 years ago
There is some similarity and there were some inspirations from Gmail to be sure. For example, there were many users of Superhuman or Front who really disliked the fact that they wouldn't be able to use autocompletions in their email client (we work on Superhuman in the browser and Front support is coming soon).

We do find that we are able to predict significantly more text than Gmail is able to.

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