An open-source, type-safe http client to your postgresql database. It let's you access your database directly from your react components. It's fast, safe and performant. Think Graphql but you don't need to implement resolvers, it's all generated from your database schema. If this sounds interesting to you, ping me (email on my profile) :)
Sounds cool. How is it different from PostgREST? What I would actually like to have is a generic PostgREST, sitting on top of sqlalchemy or something like that so that I can start on sqlite or DuckDB and then swap out the RDBMs if needed.
Ask HN: What non-AI products are you working on?
461–470 of 544 posts
Re: Ask HN: What non-AI products are you working on?
#462Working on an universal search bar for the cloud era... Started as a university project, now building it with 2 friends, private beta is ready, will become public in a few days... It's called Owledge and we are learning so much things
Re: Ask HN: What non-AI products are you working on?
#463I'm working https://annotate.dev , a tool inspired by the Stripe documentation, to let anyone create step by step code walkthroughs. Here's a sample of a walkthrough you can create: https://annotate.dev/p/hello-world/learn-oauth-2-0-by-buildi... Would love to hear any feedback thoughts!
This is awesome!! I can see a major use case for enterprise or government but along with that would come the desire for on-prem. Any chances of that happening?
I'd be happy to build and support an on-prem solution, but I'd a need commitment from an enterprise/government org. If that's something you're interested in, shoot me an email at alex@annotate.dev!
Re: Ask HN: What non-AI products are you working on?
#464Earlier quoted context omitted.
Thank you for checking it out! That is not the intended behaviour, but happens sometimes when the NLP pipeline and the dictionary don’t agree on the part-of-speech of a particular word. I’ll have to run a script identifying all such cases in the built-in decks and most likely correct them by hand. Happy to hear any other thoughts or issues so I can make it better :)
(Obviously) I don't fully understand your architechure, but isn't there a (relatively) simple check that it shouldn't test for a word that it has never taught? (And on the bright side, I'm sure I'll remember unserem now!)
In this case, unserem was assigned the part of speech determiner by the NLP pipeline (shoutout to https://stanfordnlp.github.io/stanza/, it's brilliant), but the dictionary only has an entry for unserem as a pronoun.
Perhaps a better design is to always show all entries, and just put the entries whose POS match the word in the sentence (if any) above the others.
Re: Ask HN: What non-AI products are you working on?
#465A place to connect the books you want to read with friends who already own them, and vice-versa. Imagine a distributed library composed of your friends’ books. Encouraging sharing with friends and starting conversations about topics you might never have considered having not known they were into the same books as you. Very rough draft but it has the core functionality, even if it’s a bit cumbersome. https://opnshlf.c…
I thought of doing this a while ago but for children books, never went on to actually do it but I definitely see a need in there,
* Children books are quite expensive
* Most of those you get over them in a couple minutes to an hour
* Your kids want new books every single day
Buying 5-10 and regularly trading them with other parents seems like a neat solution.
Re: Ask HN: What non-AI products are you working on?
#466I've been building algorithmic trading models for the last 4+ years. After trading them successfully with my own capital for more than a year, I launched https://grizzlybulls.com as an alternative to the traditional hedge fund monetization path. Since launching in January 2022, we've significantly outperformed the market with lower volatility and reduced max drawdown: Model - Return - Max drawdown S&P 500 (benchmark)…
This is nice to hear about. Can you tell me more about how your live results matched or diverged from your backtesting? Did you list the returns of the commodities as a comparison, or are you trading those futures as well in the mix? (I know you only talked about ES/MES)
Nevertheless, it would be prudent to expect any algorithmic trading model to underperform its backtest going forward, but there's enough leeway in the CAGR and max drawdown figures to underperform the backtest and still produce substantial alpha, especially for the more advanced models.
Right now the models are specialized to trade equities. I may develop new models that trade commodities in the future though.
Re: Ask HN: What non-AI products are you working on?
#467Re: Ask HN: What non-AI products are you working on?
#468Re: Ask HN: What non-AI products are you working on?
#469Ask HN: What apps have you created for your own use?
https://news.ycombinator.com/item?id=38623695
I was pleasantly surprised to see that it got 782 comments, with many of them being comments by people who had created such apps and posted links to them, for people to check out.
So, go check them out :)
Re: Ask HN: What non-AI products are you working on?
#470Earlier quoted context omitted.
I wish somebody built an emulator as fast as xterm and as configurable as something like kitty. Until then, xterm it is.
xterm has extremely poor throughput performance. kitty and most other well designed terminals are atleast 2x as fast as xterm. For example: https://sw.kovidgoyal.net/kitty/performance/#throughput Of all tested terminals xterm is faster only than konsole.
Startup is instant too.
It has comparatively very good "fidelity", giving usable screen outputs with most applications without tinkering.
A factor of 2x in throughput is nothing to sweat about I think, given that xterm is fast enough.
Haven't verified the benchmarks in your link, and not tried kitty, but I believe the bench did not test xterm with bitmap fonts which I believe are significantly faster.
I'd also look at CPU rasterization performance. I often don't have graphics acceleration available (in a VM).