vulkoingim (u/vulkoingim)

vulkoingim commented on Obsidian Sync now has a headless client help.obsidian.md/sync/hea... · Posted by u/adilmoujahid

manmal · 3 days ago

I've been using iCloud to sync Obsidian, and have consistently run into the problem that iCloud file container access needs full disk permissions that I don't want to give the agent (or Ghostty). Does everybody use Obsidian's paid sync instead or what? Or SyncThing?

vulkoingim · 3 days ago

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 commented on Ask HN: What are you working on? (February 2026) · Posted by u/david927

vulkoingim · 23 days ago

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 commented on Ask HN: What's the current best local/open speech-to-speech setup? · Posted by u/dsrtslnd23

vulkoingim · a month ago

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 commented on Ask HN: What are you working on? (January 2026) · Posted by u/david927

twaldecker · 2 months ago

A tiny adventure journal for the outdoors: https://gipfelbuch.org/

* Upload a GPX file -> see the route, map and key stats.

* Store every hike, bike ride, walk, or trek in one place.

* Think of it as a “personal notebook” for families, not a leaderboard.

I built it to keep the stories of my own kids’ adventures. It’s still in early‑stage development - if you’d like to test it out or share ideas, drop me a line!

vulkoingim · 2 months ago

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 commented on Ask HN: What are you working on? (January 2026) · Posted by u/david927

properbrew · 2 months ago

> you can get recommendations from artists that belong to playlists you follow or you've created

Does this include the "Liked Songs" playlist? I'm terrible at actually following artists.

vulkoingim · 2 months ago

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 commented on Ask HN: What are you working on? (January 2026) · Posted by u/david927

another_twist · 2 months ago

Question: do you plan to use some sort of ML recommendation system ?

vulkoingim · 2 months ago

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 commented on Ask HN: What are you working on? (January 2026) · Posted by u/david927

vulkoingim · 2 months ago

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 commented on Ask HN: What Are You Working On? (December 2025) · Posted by u/david927

vulkoingim · 3 months ago

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 commented on I can't recommend Grafana anymore henrikgerdes.me/blog/2025... · Posted by u/gpi

solatic · 4 months ago

The project where I looked at Mimir was a 500+ million timeseries project, with the desire to support scaling to the ten-figure level of timeseries (working for a BigCo supporting hundreds of product development teams).

All of these systems that store metrics in object storage - you have to remember that object storage is not file storage. Generally speaking (stuff like S3 One Zone being a relatively recent exception) you cannot append to object files. Metrics queries are resolved by querying historical metrics in object storage plus a stateful service hosting the latest 2 hours of data before it can be compressed and uploaded to object storage as a single block. At a certain scale, you simply need to choose which is more important - being able to answer queries or being able to insert more timeseries. And if you don't prioritize insertion, it just results in the backlog getting bigger and bigger, which especially in the eventual case (Murphy's Law guarantees it) of a sudden flood of metrics to ingest will cause several hour ingestion delays during which you are blind. And if you do prioritize insertion, well the component simply won't respond to queries, which makes you blind anyway. Lose-lose.

Mimir built in Kafka because it's quite literally necessary at scale. You need the stateful query component (with the latest 2 hours) to prioritize queries, then pull from the Kafka topic on a lower priority thread, when there's spare time to do so. Kafka soaks up the sudden ingestion floods so that they don't result in the stateful query component getting DoS'd.

I took a quick look at VictoriaMetrics - no Kafka or Kafka-like component to soak up ingestion floods? DOA.

Again, most companies are not BigCos. If you're a startup/scaleup with one VP supervising several development teams, you likely don't need that scale, probably VictoriaMetrics is just fine, you're not the first person I've heard recommend it. But I would say 80% of companies are small enough to be served with a simple Prometheus or Thanos Query over HA Prometheus setup, 17% of companies will get a lot of value out of Victoria Metrics, the last 3% really need Mimir's scalability.

vulkoingim · 4 months ago

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...