DistorteD VS runninginproduction.com

> If you have any resources on this topic off the top of your head I'd appreciate it if you shared them

I wrote a Ruby library that attempts to be good at this https://github.com/okeeblow/DistorteD/tree/NEW%E2%80%85SENSA...

Just a style thing. I find it less visually overwhelming when every statement that contributes a true/false is visually contiguous. You can see it in context here if curious: https://github.com/okeeblow/DistorteD/blob/NEW%E2%80%85SENSA...

I experienced a heisenbug exactly like this in Ruby when trying to `while case Ractor::receive`: https://github.com/okeeblow/DistorteD/blob/dd2a99285072982d3...

Here's one that sounds like exactly the sort of example you had in mind: https://github.com/okeeblow/DistorteD/tree/NEW%E2%80%85SENSA...

Disclaimer: mine :)

This resulted in a huge memory-usage win since I can load data on the fly without blocking other queries. The last pre-Ractorized version of CYO allocated around ~200k objects in 7MiB and retained ~17k in 2MiB of memory. The first Ractorized version allocated ~20k objects in 2MiB and retained ~2.5k objects in ~260KiB of memory. See revision 8c88844b9d256ecc447f6818ab427284b5636cb9 for the initial conversion.

This is the use-case for me. Here's an actual example of a Struct I will probably convert to Data in the file-identification library I've been working on. Right now they just have their `#to_a` overridden to disable some of their annoying automatic Enumerable behavior: https://github.com/okeeblow/DistorteD/blob/dd2a99285072982d3...

In addition to this resource and UK's equivalent (PRONOM/DROID, also mentioned in the linked post), I've found ArchiveTeam's wiki to be very useful for obscure file format details: http://fileformats.archiveteam.org/

The `shared-mime-info` database from freedesktop-dot-org is probably more worthy of contribution than these government-backed databases, at least in terms of number-of-end-users. New type definitions in their database will improve the entire Linux/BSD ecosystem (both desktop and server!) because it's consumed not only by fd.o's own `update-mime-database` utility but by many language-specific type-identification libraries too https://gitlab.freedesktop.org/xdg/shared-mime-info/-/blob/m...

…including (shameless plug) the new Ractor-based Ruby type library I've been working on in the wake of the `mimemagic` drama earlier this year: https://github.com/okeeblow/DistorteD/tree/NEW%E2%80%85SENSA...

> for example it’s asynchronous

Ruby also lets you build programs like this as of 3.0, using Ractor#send / Ractor::receive https://docs.ruby-lang.org/en/master/doc/ractor_md.html#labe...

It’s still pretty new so a lot of the Gem ecosystem hasn’t caught up yet (e.g. C extensions need to be explicitly opted-in as Ractor-safe), but I built a new “MIME::Types” library replacement with it recently and have enjoyed very few teething issues: https://github.com/okeeblow/DistorteD/blob/NEW%E2%80%85SENSA...

I considered switching to Hugo a while back but ended up sticking with Jekyll for the extensibility, like a few others have said. I'm particularly interested in image thumbnailing and format conversion since so many of my posts are image-heavy. I often found that to be my biggest and most frequent barrier to writing since plain text only goes so far on the modern web.

In Hugo, every solution I've seen uses a custom shortcode or custom Markdown image template-rendering hook along with Hugo's build-in image resizing. Many posts even suggest converting image resources to different formats with an external tool. It does seem like the image handling situation in Hugo is improving since it just gained WebP processing support in addition to JPEG: https://gohugo.io/news/0.83.0-relnotes/

Jekyll plugins offer way more power than a shortcode ('include' in Jekyll-speak) can, like how the author of the OP is using Jekyll-Picture-Tag. I've been working on my own similar plugin to handle converting and embedding my site's images, videos, SVGs, PDFs, text files, fonts and weird retro computer formats, etc. For example I can embed an SVG using standard Markdown syntax like `` and get a tag with the SVG plus rasterized JPG+WebP+AVIF+whatever at multiple sizes all totally seamlessly: https://github.com/okeeblow/DistorteD

Very happy the existence of Hugo lit a fire under the Jekyll team to work on speed though :)

> It works at first, but you end up wanting to design your own custom SSG once you run up against something that goes against your mental model of how things should work.

There is a middle ground. I hit this point in Jekyll when I wanted Insanely Great image thumbnailing that no extant Jekyll plugin could provide, ended up writing my own tool to do that, but didn't want to duplicate the rest of Jekyll's functionality too. It's kiiinda hacky and I probably should propose the interface changes upstream if I keep doing this, but a very light monkey-patch lets my tool pretend to be a Jekyll::StaticFile that just happens to write out many separate files: https://github.com/okeeblow/DistorteD/blob/master/DistorteD-...

A while back I started a podcast around this topic: https://runninginproduction.com/

If there's ever a time to ask such a question, it might be this thread.

Can I get some brutally honest feedback on a podcast I ran for 2 years (100+ episodes at once per week)) at https://runninginproduction.com/? It's a podcast focused on chatting with developers around how they build and deploy their web apps. It mostly focuses on the "why", tech stack choices, libraries, workflows, etc..

In my mind I thought it was a good idea but it got so little listeners that I had to abort recording new episodes due to burn out since there was no path forward to ever sustain it by outsourcing the burn out inducing parts. I still think it's a good idea but I wonder where I went wrong.

I tried everything I could think of. Guest variety from solo devs to bigger companies like Mux and Dropbox, audio editing to ensure the highest quality I could get for a remote guest<->host podcast with new guests having assorted mic qualities, moving a lot of "ums" and other fluff but not over editing things to make it unnatural, tags to quickly find tech stacks you care about and a ton of clickable timestamps with a summary of each show that's skimmable in seconds and tons of reference links.

On paper it feels like I did everything I could do to make things "good", but in practice after 100 episodes I had like 200-300 listens per episode which made it no longer viable to continue doing since each episode was about 6 hours of end to end time (finding a guest, editing it, show notes, etc.).

I chatted with 100+ different developers from 100+ different companies on how they build and deploy their apps: https://runninginproduction.com/

There's https://runninginproduction.com/ with 100+ assorted episodes with 100+ different guests talking about how they built and deployed their specific application.

Running in Production

I started a podcast around this topic a few years ago at https://runninginproduction.com/.

As someone who has personally edited over a hundred 1-2 hour podcasts with a new guest every time removing umms, ahhs, dead air and filler words is soul crushing. It has gotten to the point where after 2 years of running my podcast[0] I'm seriously considering stopping the show because I'm getting burnt out from editing and without sponsors it's not feasible to hire an editor, but even with the show making no money I would happily pay triple your asking price if I could click a button and have the problem solved in a way that matched a human's ability to edit out filler words.

It really is the difference between being able to edit a 1 hour episode in 1 real life hour (editing at 2x speed) vs literally spending 5 hours to edit 1 hour when there's a lot of filler words or ums.

In my opinion your "after" version doesn't sound natural. This isn't an attack on your service specifically, because the outcome is the same with all of the tools I've tried. I haven't tried them all but I did play with a few of them.

For example in your case the pause between "Removing" and "filler" doesn't match the pace of the rest of the sentence and the transition from "very" to "time" has a very hard cut. This is also a 10 word clip that's about 6 seconds. If you listened to a 1 hour podcast episode that was edited things like this would be much more noticeable.

There's so many intricate and subtle details around when and what to cut to remove these things in a way where it's not noticeable. Are there any paths moving forward in AI / ML that can lead to this being indistinguishable from being humanly edited?

I debated deleting this comment before posting it because it's a combination of feedback but also saying the service isn't something I would buy but I think it's more beneficial to post this to show there is a real demand for this service if it can be executed flawlessly.

[0]: https://runninginproduction.com/

If you're interested in hearing how 100+ different developers manage their apps in production I have a podcast at https://runninginproduction.com/.

The podcast is at: https://runninginproduction.com