I'm working on inq - a real ink pen that writes on real paper while simultaneously digitizing everything you write. Specifically working on the software for our mobile and web apps.
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 | Real ink pens that also digitize | Full-time | EU, UK, South America (100% REMOTE) | anoto.com
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.
Anoto | Real ink pens that also digitize | Full-time | EU, UK, Eastern US (all 100% REMOTE) | anoto.com
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)
Thanks, I'm glad you like it! That makes me very happy!
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!
I'm working on a unique discovery app / recommender for books, tv, movies, video games, songs, youtube channels, newsletters and podcasts - and more categories soon!
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!
I'm working on a web app that helps you discover new things to read, watch, listen to and play.
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.
You are spot on :) - including about potential additional and broader use cases for this kind of UI. Hoping I can explore that more. Thanks for the tip about Exa.ai!
Also, I'm sincerely flattered that you like the design and execution. Thank you for that and for your contribution!
Yeah, this is definitely an important aspect of the problem I'm hoping to solve. I've found that selecting interesting preferences yields some interesting, non-obvious results "out of the box" - but if you really want to go off the beaten path try selecting the "Little known" preference under Other (and make it Required).
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.
I'm working on a web app that helps you discover books, movies, TV shows, video games, and songs that you'll like. The app makes it super easy to describe what you're looking for and then gives you a unique set of 10 suggestions on each run.
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!