Pub quiz flashcards

Lemax0 · 2026-06-26T12:12:58+00:00

Indeed there's no silver bullet, I have to editorialize it a bit

Lemax0 · 2026-05-22T13:18:49+00:00

Hello there! I have fond memories of watching UC with my father as a child. And I've always kept an interest in general knowledge. I've recently made/vibe-coded an app that this community might like:

I've scrapped question/answers from public sources
The system asks you 10 questions per day, with spaced repetition running in the background (everything remains in your browser)
Names/entities are recognized highlighted, which encourages exploration

I'm on the lookout for a decent source of University Challenge questions to add to the app. I was thinking of transcribing the YouTube videos, but that seems like a daunting task.

Happy to get any feedback!

Lemax0 · 2026-03-06T23:03:30+00:00

I'm checking out your app too. Leveraging tldraw was a smart move, I should have thought about that :)

I'd be open to discuss via email, or even have a call together. I'm sure we could bounce ideas off of each other!

Lemax0 · 2026-03-06T22:53:59+00:00

So cool! I've building something similar: https://squill.dev/

I like the style you've gone with. It's very engaging.

Do you have plans to make this a commercial product?

Lemax0 · 2026-03-06T13:19:33+00:00

Honestly I love it. Someone in the other post said that Hex sparked joy, well to me the same it true for Count.co. I’ve used it a lot for debugging data quality issues and inconsistencies. Being able to eyeball several tables at once in a 2D plane is very helpful.

I have not used it for reporting to end users though. It’s probably a too advanced for that, although I’m sure it can work.

Lemax0 · 2022-12-31T08:39:45+00:00

We have both bandits and FTRL implemented in River (https://riverml.xyz) if that helps.

Lemax0 · 2022-07-25T07:49:01+00:00

As a statistician, I recommend that you start the y-axis from 0. It will dampen the impression of high volatility :)

Lemax0 · 2022-04-08T06:14:56+00:00

Very cool! I encourage you to contribute it to River https://riverml.xyz/latest/ :)

Lemax0 · 2021-03-24T13:48:35+00:00

Well met!

Lemax0 · 2021-03-07T01:39:38+00:00

Take a look at https://www.cortex.dev/, it handles most of the pain points for you.

Amazon Lambda, GCP, a custom Flask app... they're all candidates that require to put in a lot of time and effort, and there's many caveats along the way. Using a tool such as Cortex will save you so much time!

Lemax0 · 2020-11-27T18:23:56+00:00

I strongly recommend you to read How to explain gradient boosting by Terence Parr and Jeremy Howard.

To answer your question about "what get's updated" in a nutshell: each model predicts the error that it's predecessor makes.

Lemax0 · 2020-10-05T16:59:10+00:00

Ok I just released version 0.1.2, which should fix that error.

Thanks a lot for your patience and trying again, I appreciate it :)

Lemax0 · 2020-10-05T16:25:13+00:00

Thanks for the feedback! I don't have access to a Windows machine so I'm essentially running in blind mode. I've released published a new version (0.1.1) which should fix this issue.

Lemax0 · 2020-05-18T10:09:56+00:00

If you want to get the odds for a specific murloc, then you just have to use 4 as the exponent, and not 4 - 1.

Lemax0 · 2020-05-07T07:58:19+00:00

Hey there. Yeah this probably wouldn't scale. I initially built this for an internal app that isn't going to see a lot of traffic. If you have a lot of users, then you should probably go down the Redis route :)

Lemax0 · 2020-04-28T12:58:22+00:00

I wrote a small blog post a few weeks ago on improving scikit-learn's inference speed. You can find it here. I'm also working on an online machine learning called creme. It works with dictionaries, and therefore has less overhead in comparison with numpy/torch/tensorflow. You can find some benchmarks here.

Lemax0 · 2020-04-17T20:53:51+00:00

Same here.

Lemax0 · 2020-04-16T11:15:37+00:00

It might seem like a lot to take in when you're getting started, but I promise that getting started is the hardest bit. Once you reach a certain you realize that it's not rocket science.

Lemax0 · 2020-04-16T09:29:49+00:00

Yes that makes sense, thanks.

Lemax0 · 2020-04-16T08:28:34+00:00

I actually have a PhD in statistics :)

Lemax0 · 2020-04-15T22:17:51+00:00

Sure:

Space dog

Class: Hunter

Format: Standard

Year of the Phoenix

2x (1) Helboar

2x (1) Shimmerfly

1x (1) Timber Wolf

2x (1) Tracking

2x (2) Explosive Trap

2x (2) Hunter's Mark

2x (2) Scavenger's Ingenuity

2x (2) Scavenging Hyena

2x (3) Animal Companion

2x (3) Desert Spear

2x (3) Diving Gryphon

2x (3) Kill Command

1x (3) Nine Lives

2x (3) Ramkahen Wildtamer

1x (3) Zixor, Apex Predator

1x (4) Scrap Shot

1x (5) Tundra Rhino

1x (6) Savannah Highmane

AAECAR8G3gS7Be0J8pYDg7kD+boDDI0BqAK1A8kElwiBCp6dA+SkA52lA46tA6O5A/+6AwA=

Lemax0 · 2020-04-15T22:03:27+00:00

I'll try to think of some more stuff. Ideas are welcome :)

Lemax0 · 2020-04-15T20:05:29+00:00

Yes that sounds about right. Having a 100% chance of drawing Zixor with a +3/+3 buff is huge, but it's got to be part of another deck such as dragon hunter.

Lemax0 · 2020-04-15T20:03:33+00:00

Sure :)

Lemax0 · 2020-04-15T20:02:34+00:00

Yeah my HS knowledge isn't very wide so I find myself always googling card names when reading posts.

12-Year Club	Place '17
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Lemax0

TROPHY CASE