samjgorman
Joined 9 years ago
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3
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5
Member since
Aug 26
Recent submissions
Comment · 1 year ago
Comment · 5 years ago
Ideal users: engineers. At least to start with. We know that the typical engineer has to learn a lot of relevant content online with technical documentation, blog posts, notes, etc, so are seeking to be helpful there first. Plus, we'd like to solve our own problems we faced. Down the line if people like it, can imagine this could be pretty helpful for students in general of most ages.
Go to market: We're hoping sharing here on HN is a good starting point. We've gotten modest traction on Twitter among the ML community [1] And in r/machinelearning as well. [2] Next steps are monitoring word of mouth and trying to iterate on the product until we hit a point where people enjoy sharing Ferret with their friends.
[1]https://twitter.com/KanyesThaker/status/1431378692912025604 [2]https://www.reddit.com/r/MachineLearning/comments/pc3hyx/p_g...
Comment · 5 years ago
Thanks for taking the time to check it out!
Comment · 5 years ago
Great work here-- would consider relaunching this on HN, this one didn't get the traction it deserved. Saw on Twitter as well-- best of luck on the co-founder search!
1. The visual design of the app feels largely different from other apps that I use, which is largely good. It's evoking an early internet aesthetic. To what degree were early social communities like MySpace an inspiration? 2. The other side of breaking from more modern UX patterns is that users might stumble or get slowed down. I had a harder time figuring out the UX of the chat inbox, likely because I was bringing iMessage style mental models to more of an AIM UX. 3. Onboarding of inputting ChatGPT derived preferences to quickly personalized was really smart and can imagine this could be the start of a new way to shortcut otherwise tedious onboarding preference collection 4. Did you consider making this an iOS app? I almost only read HN on my phone these days and would likely appreciate these more niche articles tailored towards learning compared to a standard news digest