vulkoingim

Still hacking on https://riffradar.org/ and trying to make better recommendations on Spotify. Lately I've been experimenting with a couple of different recommendation algorithms, and will expose them soon as selection options for the different playlists. Signups have picked up somewhat recently and have ~800 MAU, which helps with trying out different things :)

Thanks for the heads up, I'll give it a try on the tv!

Absolutely, I never said it's not :) I'm just not a fan of the Discord distribution channel - but the reply above you said it's on AppleTV, and I might try that!

Looks good...but having to join Discord to try it is one step too many, if I have to be honest.

Yeaah, second that! I use it on the AppleTV and across the rest of my devices! Works like a charm, and coupled with Tailscale I can access everything on my Nas everywhere :) I have it configured to use Jellyfin as the source, runing on said nas

I used to use it (better mouse) before BTT added Logitech support - but wasn't really happy with it. Every single update changed something, mostly my cursor speed in some small, but sufficiently noticeable way and I had to adjust it every time, which was super annoying.

At some point my settings kept getting lost every time my mac went to sleep, and I had to restart the app all the time. I messaged the developer, but never received any response or acknowledgement and I just dropped it. It's a pity, because I did like it for a period of time while I was initially using it.

The one thing I use the most, and how I found it in the first place is that it allows me to combine key presses with mouse gestures/movements. In particular it allows me to move/resize the windows under the cursor just by pressing a key combination and moving my mouse. Many many years ago I used to use AutoHotkey on Windows for this functionality and was missing it when I switched to Mac.

Another thing I've configured is scrolling through a key press and dragging the mouse. Or opening a floating menu by using the thumb button on my MX Master3.

And that's only mouse functions, I have a bunch of other shortcuts/remappings/automations, many of which run only for specific apps.

Have a look in the forum - it's gold mine and a lot of people have shared their presets.

Get an LLM to generate a preset for what you want - it's ultimately driven by a json config. There are quite a few presets in the forum as well for various functions

For a while now BetterTouchTool [0] supports Logitech mice [1]. It's paid, but it's absolutely worth its price. It's super powerful and you can do all kinds of funky stuff with it, not only mouse related. I would suggest looking into it if you want more advanced features, I've been a very happy user for many years now.

[0] https://folivora.ai

[1] https://docs.folivora.ai/docs/normal-mouse/logitech

Been working on https://riffradar.org/ - better Spotify recommendations through playlists that update daily.

You start with selecting genres you're interested in and can see exactly which bands match your selection from your library (or globally). You can also tweak the playlists in a number of ways through advanced filters like excluding tracks you've played recently, release dates, collaborations, different sort methods.

Recently I added a new feature - select a few (or one) playlists and create a "mirror", with tracks belonging to the artists of your selected playlists.

Also there are a few other playlist modes I'm working on that will allow you to make more interesting selections.

Similar, but not as polished, also exists in VSCode and derivatives, named the same way. Definitely saved me a few times as well.

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...

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...

Pretty much what `cloogshicer` said.

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

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.

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.

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/

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.

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/

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/

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.

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/

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.

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.

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.

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.

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/

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/

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...

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)