[credit_guy]

Unlikely.

Here's a Hacker News lookalike [1] for Machine Learning. You'll see that the latest post was 11 days ago, and the one before that 29 days ago and the one before 54. Most topics have one or zero comments. And ML is a much more popular topic than finance.

The great thing about HN is that it does not restrict the topics. People can bring up anything they find interesting. As soon as you want to limit the discussion to some specific thing, the audience drops by a few orders of magnitude.

So, I guess it's up to you to collect a number of different blogs and newsletter and follow them.

It almost goes without saying that you should subscribe to Matt Levine's newsletter [2]. Also, you can't go wrong by checking the blog of "Fed Guy" [3].

[1] https://datatau.net/

[2] https://www.bloomberg.com/opinion/authors/ARbTQlRLRjE/matthe...

[3] https://fedguy.com/

[capableweb]

> And ML is a much more popular topic than finance.

Holy SV-bubble moly, I don't think that's true, maybe not even in SV itself.

Two quick comparisons:

- https://trends.google.com/trends/explore?date=all&q=Finance,... (Finance VS Machine Learning)

- https://trends.google.com/trends/explore?date=all&q=Finance%... (Finance News VS Machine Learning News)

Even when comparing the region where "Machine Learning" is the most popular (South Korea), it ends up being 18% / 82% for "Finance". Or comparing the most popular city (Sunnyvale) it ends up being 14% / 86% for "Finance".

Not only is finance both a deeper and wider subject than machine learning, but also most people know that finance exists one way or another, while most people in the world probably haven't even heard about machine learning.

[olalonde]

Now try with "weather". Yet there is a HN for machine learning[0] and one for Bitcoin[1] but none about finance nor the weather. I'm not sure what my point is except that maybe some generic popularity measure isn't a good predictor for whether a "HN for X" is likely to succeed.

[0] https://datatau.net

[1] https://stacker.news

[capableweb]

> maybe some generic popularity measure isn't a good predictor for whether a "HN for X" is likely to succeed

I agree, it probably isn't. Much is up to the people who chose to submit (quality) content and then moderation. Won't matter if the topic is the most popular one on Earth.

[snapplebobapple]

I think you might be missing the actual great thing about HN. It's not that it doesn't restrict topics, it's that it pseudo restricts audience by both targeting a specific subset of the tech movement (the business minded folks who have a bent towards founding companies while still being highly technical) while not being heavy handed about it and while also appearing to pursue moderation in their moderation. This means I tend to actually be able to see and engage with reasonable leftie points I haven't thought of, not get downvoted into oblivion if I bring a well thought out center right position to the conversation (indeed sometimes I actually collect upvotes if I do that, which is unheard of on other platforms like most subreddits). It also means the obviously incorrect far left nonsense is kept to a dull roar here even though this place leans pretty heavily (if mostly moderately) left. This place honestly feels like political debate looked 60-70 years ago before all civility left politics and positions were dumbed down to soundbites, albeit with a center leftist party in charge.

[crosen99]

> Here's a Hacker News lookalike [1] for Machine Learning. You'll see that the latest post was 11 days ago, and the one before that 29 days ago and the one before 54.

It looks like the main feed of DataTau (https://datatau.net/) may not be promoting posts from the "new" feed (https://datatau.net/new) aggressively enough. There are a few dozen new posts in just the last few days. I understand the dilemma with promoting posts before they have activity, but maybe the algorithm needs to be tweaked.

[swexbe]

It looks like a lot of the new feed is marketing spam though :(

"Buy Women's Leggings, Sports Tops, jeans & jeggings in Online at - Zeneleggings"

[melling]

“And ML is a much more popular topic than finance.”

Well, clearly that’s not true, unless you have a very narrow definition of finance.

[douge1]

For sure, I agree, HN is a great spot for bringing up any topic, that's what I love about it, but was thinking maybe there's something like this for Finance since it's such a deep space. I haven't heard of these, and I'll check them out. Thanks!

[iLoveOncall]

> And ML is a much more popular topic than finance

What sort of isolated bubble do you live in to spit out stuff like that? xD

ML is a niche topic in a niche field (AI) itself in a relatively niche field (CS), itself in a broader topic (Tech).

Finance is at least as big as tech. Saying it's less popular than ML simply makes no sense.

[pfd1986]

It looks like datatau just needs more users :) signed up