57 karma · joined May 2, 2021
I'm working on a project with similar goals but some different design decisions - instead of the typical containers I'm going for thin-client apps that hit a common data layer built on a fully serverless architecture. Not ready for production quite yet, but for those interested: https://starkeep.app/
Among other things, my team has implemented access-based sharing using web links, like Google Docs for real paper handwriting. And we've just launched Quin, our AI assistant for real paper handwriting. Super useful for getting help with math, language learning, looking up relevant facts, generating ideas, etc.
Anoto originally pioneered ink pens that also digitize everything you write or draw. As of very recently, we have a brand new management and tech team, new funding, and very ambitious plans for the future.
We are hiring a Lead Product Engineer to set the quality standard and the pace for the ongoing development of our just-launched React Native app, LivePen.
Job description: https://tinyurl.com/ms65tz5s
Quick form to express interest: https://forms.gle/J8widhgGFa7PUUTM9
Anoto originally pioneered ink pens that also digitize everything you write or draw. As of very recently, we have a brand new management and tech team, and ambitious new plans for the future. I'm happy to share more details directly with people who are interested.
We're hiring for the following roles:
- Firmware engineers
- R&D engineers (focusing on prototyping new hardware & software ideas)
- Data engineers
- Strong React / React Native + TypeScript engineers
Please fill out this quick form to express your interest: https://forms.gle/jvecyXewmKk339aW7
You're correct, I'm not caching the results right now. I determined that caching whole queries would not make much difference in the aggregate, since the vast majority of queries are unique. (However I also just saw that OpenAI added their own caching layer with lower prices for cached results, which is nice!)
However - the new Replace function was my first step toward fetching recommendations one-at-a-time - I agree that potentially opens up interesting new possibilities for caching and other things as well!
Since my last update here, I've added more detailed personalized descriptions of recommendations (hit Describe to request), including a rating out of 10 for how well the item meets your preferences.
I've also added the ability to replace individual recommendations (this was the most requested new feature!). If you update your preferences, your replacements will use your updated preferences - pretty nice for fine tuning your results!
Try it: https://www.yogurrt.com/
You start with either an example or a brief description. Then, you'll get relevant preferences to select from. Your recommendations are based on the preferences you select. Every run is different.
I've added some new features along with support for blogs/newsletters and podcasts over the past month, and improved the recommendations generally.
Also, I'm sincerely flattered that you like the design and execution. Thank you for that and for your contribution!
This is happening because I intentionally added a strong bias for more recent books. I thought that's what most people would be looking for - at least for fiction - and I also assumed there were other good ways to discover older books (lists, collections etc).
You're absolutely right though, it should give you some Victorian lit given your preferences! I'll work on addressing this.
It's the first solo project I've done in many years and I'm having a great time learning. I've also been able to get some great recommendations for myself and it's fun to use!