maxwelldone

What's stopping them from charging the people responsible? Are the people so irreplaceable that they are effectively JPM?

Any specific reason to use FF dev edition? You can use your own addon with regular FF by signing it with web-ext CLI tool.

I don't consider myself old so not sure if this kind of answer appeals to a particular demographic but it doesn't induce any confidence in their service.

Playful stance is ok as long as it covers fundamental questions but a business should err on the side of caution. Maybe I am old.

Thanks mate! Interestingly,The Simpsons was the show that sort of inspired me to build this site. I saw an image on reddit showing all the Simpsons episode ratings and thought it would be a fun idea to build a website based on the concept.

Thanks for the kind words. The use case you mentioned is the primary motivator for the site. That's especially useful for shows you want to revisit or new ones where sequential viewing isn't necessary (like Top Gear etc.)

Thank you. That's precisely why I built this. Yesterday I wanted to catch up on Season 3 of Grand Tour and guess which site I went to see what to watch!

Thanks mate. You're right, on big screens (< 5% of users) the empty spot is a bit of a concern. I'll try to add a gif of a demo. Honestly, this was a build, automate and forget type of weekend project. So I forced myself to stop adding features but can certainly find some time to improve it a bit.

Thanks mate. I wanted to build a no nonsense site and think I've achieved my goals for the time allotted for a weekend project.

The architecture is dead simple. Multiple times a week IMDb publishes bare bones datasets. I've a bash script to download them, format and load into MySQL from which I export two types of json files:

1) a file with all the TV shows names, id, ratings etc (shows.json) - this is what's used for search. It weighs 2MB compressed and I could certainly optimize but considering the low traffic I've stashed it for later time.

2) A file for every tv show with all the ratings and votes for its episodes. Based on your search, the specific file will be fetched to display ratings. This one file per show could also be optimized but looks premature at this stage.

You can see them here: https://github.com/dvnlgls/theshowgrid/tree/gh-pages/assets

Strictly speaking, a database is also not necessary but it serves 2 purposes: 1) I could query easily to satisfy some curious show related questions. 2) The datasets include a ton of stale data (like shows w/o episodes and vice versa), so I find it easier to cleanup through SQL.

Thanks. That shouldn't be difficult to implement. Added to the todo.

Don't know if this qualifies as cool but I built a single purpose site to list IMDb ratings of all episodes of a TV show in a grid, which runs on GitHub Pages. It doesn't use any external APIs.

https://theshowgrid.com

I built it mainly for personal use. I know IMDb ratings aren't perfect but it's a decent measure of mass opinion.

Mullvad is great. They are from Sweden, not Switzerland. Not sure if anyone else does it but you can just mail them cash anonymously to get started.

DT770 80 Ohm is fantastic. Although I wonder if 32 Ohm would be a better option since 80 Ohm needs an amp to boost the volume. It was just not loud enough for me when connected to my Mac.

Question for people in the industry: Is it too hard to include a separate audio track that's more suitable for home use where a better emphasis is placed on dialogue?

The one that's kept on top of the Big Ben?

When I was in the mark for a decent DAC last year, I settled on JDS Atom DAC. Cost $100 I believe and seems like their support is good. Though I don't have anything else to compare, it seems good so far.

Yes, Minister and Yes, Prime Minister are brilliant shows.

I've been using Magnet forever and believe I bought it on sale for a dollar or very cheap. One of my best purchases.

Here's a gem from the time when Murray commentated on snooker https://www.youtube.com/watch?v=zl-oAsDCGNA

I love this approach. As someone who generally asks a lot of questions, your first round would give one a good idea if it's worth proceeding to other rounds or not. BTW, are you guys hiring?

I enjoyed reading that. Feynman doesn't sugar coat things. I also recommend "what do you care what other people think" book. The second half covers Challenger investigation wich is quite amusing to read.

I recently learned that the uninstall cmd doesn't uninstall the app from the phone but only for the user. This may come handy if you uninstall something by mistake, say, an essential service. Forgot the reinstall cmd but it's easy to find.

I've been thinking about this. How can we get good ads without extensive tracking? I've been blocking ads as long as I could remember, mostly because it's annoying and/or irrelevant.

However, I'd be down to see ads if they're, say, relevant (things I'm actually interested in) 90% of the time. I thought about having a system where I could voluntarily say what I'd like to see in ads (obviously stuff I'm comfortable letting others know eg: sw, t-shirts, etc) - sort of like subscribing to RSS feed. Maybe advertisers could have a button on their site that I could click to let them know I'm interested in promotions, new releases etc. I imagine those advertisers could be part of an ad network I'd whitelist. I could see this as a win-win, though I don't want to think I'm the only one to think of this. Maybe those in the industry feel status quo is the best at scale.

I use https://www.goatcounter.com/ and I'm very happy with it. It's open source and can be self hosted. Since there's no user tracking, it's GDPR compliant out of the box.

This sounds very cool. I recently thought of another approach for song recommendation due to necessity i.e.: based on how a song sounds. There are genres but they're way too generic. Other methods like similar artists, what else people who've likes a song love etc doesn't always work. Not sure how streaming services recommend but I don't think they do what I want.

I know, how something _sounds_ is subjective but I was thinking something along the lines of how Shazam app does. If they can compute a song signature and compare it against a library, it should be possible(?) to find top 10 closest neighbors.

BTW, I'd love to test your app if that's possible.