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
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...
Hello HN! We're Sam and Kanyes. We're building an extension to help you remember what you read online. We're calling it Ferret [1].When you open Ferret on an HTML page, it generates recall-based questions + answers to reinforce key concepts with NLP. Consider the following toy example where we open Ferret on an explanation of Bayesian statistics. [2]Q: What does the frequentist...