vulkoingim

vor 16 Tagendiscuss

It is indeed supported only for some languages - you can check the link for which ones. And it's not only about recognising multiple languages, but actual functionality that it's missing. It doesn't have a Bulgarian dictionary and support for swipe in BG, which is what I need...

vulkoingim

vor 17 Tagendiscuss

Mate...it does not, it's not like I haven't tried. Try to set Bulgarian keyboard on the native iOS and let me know exactly what you see.

https://www.apple.com/uk/ios/feature-availability/#quicktype...

vulkoingim

vor 17 Tagendiscuss

Pretty much what `cloogshicer` said.

I am interested in something that has support for multiple languages + swipe support.

vulkoingim

vor 17 Tagendiscuss

That's neat! Would love to try it, but am also on iOS :/

With the risk of sounding like a broken record - what are people using on iOS? I've been using `SwiftKey` for a while as it has dictionaries for languages that the native keyboard doesn't have. But I would love to switch to something else, as M$ has been shoving AI features on it that I am definitely not interested in.

So far in this thread I've seen Grammarly and Nintype. The former seems to suffer from the same things as SwiftKey, while the latter doesn't look it's maintained (last update 7y ago). I don't mind a paid app, as long as it doesn't invade my privacy.

vulkoingim

vor 27 Tagendiscuss

Better recommendations on Spotify: https://riffradar.org/

Choose your genres (and more filters) and get auto updating playlists from your music library. Also just added a new feature - select a few (or one) playlists and create a "mirror", with tracks belonging to the artists of your selected playlists.

vulkoingim

vor 2 Monatendiscuss

Been working on and off on a Spotify recommendation egnine after getting tired of Spotify’s repetitive recommendations.

You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better, curated by you version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.

It works best if you follow a good amount of artists. Optionally you can get recommendations from artists that belong to playlists you follow or you've created. If you don't follow much or any artists, then you should enable that in order for the service to be useful, as right now that's the only pools of artists the recommendations are based on.

https://riffradar.org/

vulkoingim

vor 3 Monatendiscuss

Thank you!

Some parts are, but easily abstractable. I do have it on my list to support other services, but haven't had much time lately to tackle new features.

vulkoingim

vor 3 Monatendiscuss

Been working on and off on a Spotify recommendation egnine after getting tired of Spotify’s repetitive recommendations.

You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better, curated by you version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.

It works best if you follow a good amount of artists. Optionally you can get recommendations from artists that belong to playlists you follow or you've created. If you don't follow much or any artists, then you should enable that in order for the service to be useful, as right now that's the only pools of artists the recommendations are based on.

https://riffradar.org/

vulkoingim

vor 4 Monatendiscuss

I've been working on and off on something [1] that tries to address this problem through somewhat manual curation. You choose what genres you're interested in, and get auto updated playlists created from your music library.

I have a few other experimental features in the pipeline that will expand the music selection, but they are not there yet.

[1] https://riffradar.org/

vulkoingim

vor 4 Monatendiscuss

I used iCloud in the past, but found that syncing between a few devices sometimes left my notes in a weird state - sometimes overwritten, missing, etc. I switched some time ago to https://github.com/remotely-save/remotely-save with backblaze and I periodically sync to a git repo for a second backup. No issues since then.

vulkoingim

vor 5 Monatendiscuss

Built my own Spotify recommendation egnine after getting tired of Spotify’s repetitive recommendations.

You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better, curated by you version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.

It works best if you follow a good amount of artists. Optionally you can get recommendations from artists that belong to playlists you follow or you've created - if you don't follow much or any artists, then you should enable that in order for the service to be useful.

https://riffradar.org/

vulkoingim

vor 6 Monatendiscuss

I'm using https://spokenly.app/ in local mode, which is free. Very happy with it. It supports a bunch of models, including whisper and parakeet. Right now I'm mostly using parakeet v3 on my desktop, but it tends to do a bit more errors, although it is very fast. I cycle betwen it and Distil-Whisper Large V3.5, which is a bit slower.

On iOS I'm also using the same app, with the Apple Speech model, which I found out to be better performing for me than the parakeet/whisper. One drawback for the apple model is that you need iOS/Mac 26+ - and I haven't bothered to update to Tahoe on my mac.

Both of the models work instantly for me (Mac M1, iphone 17 Pro).

Edit: Aaaand I just saw that you're looking for speech-to-speech. Oops, still sleeping.

vulkoingim

vor 6 Monatendiscuss

Looks cool!

One suggestion - in the demo mode it would be nice if you provide a sample GPX file which you can try right away.

vulkoingim

vor 6 Monatendiscuss

Unfortunately not. I oversaw that this was a separate scope when I requested my initial permissions for the app and am still to request an extension.

But if you have any kind of playlists - it would work.

vulkoingim

vor 6 Monatendiscuss

No, at least not at this point. I have quite a few ideas that are waiting to be implemented, before I can think of anything ML related - if ever.

vulkoingim

vor 6 Monatendiscuss

Built my own Spotify recommendation egnine after getting tired of Spotify’s repetitive recommendations.

You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better, curated by you version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.

It works best if you follow a good amount of artists. Optionally you can get recommendations from artists that belong to playlists you follow or you've created - if you don't follow much or any artists, then you should enable that in order for the service to be useful.

https://riffradar.org/

vulkoingim

vor 7 Monatendiscuss

Working on a little project to make Spotify recommendations better.

You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.

https://riffradar.org/

vulkoingim

vor 8 Monatendiscuss

I'm not sure where you saw that Victoria Metrics uses object storage. It doesn't - it uses block storage and it runs completely fine on HDD, you don't even need SSD/NVMe.

There are multiple ways to deal with ingestion floods. Kafka/distributed log is one of them, but it's not the only one. In cluster mode VM is a distributed set of services that scale out independently and buffer at different levels.

Resource usage for ingestion/storage is much lower than other solutions, and you get more for your money. At $PREVIOUS_JOB, we migrated from a very expensive Thanos to a VM cluster backed by HDDs, and saved a lot. Performance was much better as well. It was a while ago, and I don't remember the exact number of time series, but it was meant to handle 10k+ VMs (and a lot of other resources, multiple k8s clusters) and did it with ease (also for everybody involved).

I don't think you have really looked into VM - you might get pleasantly surprised by what you find :) Check out this benchmark with Mimir[1] (it is a few years old though), and some case studies [2]. Some of the companies in the case studies run at significantly higher volume than your requirements.

[1] https://victoriametrics.com/blog/mimir-benchmark/

[2] https://docs.victoriametrics.com/victoriametrics/casestudies...

vulkoingim

vor 8 Monatendiscuss

Have a look at Victoria Metrics - have run it at a relatively high scale with much more success than any other metric stores. It's one of those things that just work. It's extremely easy to run at in a single-instance mode and handles much more than you would expect. Scaling it is a breeze too.

(I'm not affiliated, but a very happy user across multiple orgs and personal projects)

vulkoingim

vor 8 Monatendiscuss

Not directly, no. I still rely on the data that Spotify gives me that relates to artists' information; and it's not great a lot of the time. E.g. there are obvious cases where artists belong to genres that they should not belong to. I do have some ideas for improvement, but they are still WIP.

What it allows you to do, though, is create your playlists with extended filters. E.g. you can select genres, and at the same time exclude genres - that helps with the "cross-contamination". You also get a view of all the artists that match your selections and you can add exclusions for them as well. It is a bit of manual work, but it works pretty good for me personally.

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