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mfringel

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en.wikipedia.org 7y ago

Diverted-Profits Tax (aka The "Google Tax")

mfringel
2pts0
www.bostonglobe.com 8y ago

MA Legislature Nears Deal on Non-Competes

mfringel
2pts0
www.theverge.com 9y ago

Lowe’s prototype exoskeletons give warehouse workers a boost

mfringel
2pts0
www.cnbc.com 10y ago

Hertz signs rental deals with Uber and Lyft

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1pts0
www.linkedin.com 10y ago

To Build, Decide

mfringel
1pts0
www.amazon.com 10y ago

Handmade at Amazon: Artisan Marketplace

mfringel
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www.earlywarningproject.com 10y ago

The Early Warning Project: Genocide Detection

mfringel
1pts0
www.amazon.com 11y ago

Amazon Business

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3pts1
blogs.akamai.com 11y ago

The Impact of the Big Game on the Web

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1pts0
recode.net 11y ago

Airbnb Will Collect Taxes in San Francisco Starting Next Month

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4pts0
www.roche.com 11y ago

Roche Biochemical Pathways charts – navigable and annotated

mfringel
72pts17
blogs.akamai.com 12y ago

Pitch. Presentation. Proposal

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5pts1
www.mattringel.com 12y ago

Pitch. Presentation. Proposal.

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2pts0
finance.yahoo.com 12y ago

Square plans sale as losses widen

mfringel
1pts1
www.mattringel.com 12y ago

Full Resolution, or "The Plumber and the Photographer"

mfringel
1pts0
www.mattringel.com 12y ago

The Whiteboard Essays: How to keep your audience focused

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2pts0
www.mattringel.com 12y ago

What is a Website?

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1pts0
blogs.akamai.com 12y ago

You Must Try, and then You Must Ask

mfringel
366pts48
www.mattringel.com 12y ago

You Must Try, and then You Must Ask

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2pts0
finance.yahoo.com 12y ago

EBay to buy Braintree

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1pts0
www.mattringel.com 12y ago

The Buttermilk Problem: When reason goes up against self-worth

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1pts0
www.forbes.com 12y ago

Kindle Matchbook: Amazon bundles print and ebooks

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1pts0
f.adric.net 13y ago

LearnMoreSecurity

mfringel
2pts0
adversari.es 13y ago

InfoSec's Jerk Problem

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1pts0
www.mattmontag.com 13y ago

Universal's Audible Watermark

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3pts0
arstechnica.com 13y ago

New Yorkers: 1993 is calling from a payphone.

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1pts0
www.leancrew.com 13y ago

Why I Like DST

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2pts1
news.ycombinator.com 13y ago

Ask HN: What's the *second* Arduino book?

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9pts4
plus.google.com 13y ago

Shit Hacker News Says

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3pts0
www.engadget.com 13y ago

GE uses piezo jets to keep a laptop cool

mfringel
2pts0

The biggest advantage fountain pens have is physics.

Ink flow in a fountain pen is via capillary action (touch nib to paper, ink flows), as opposed to a ballpoint pen where you have to apply a small constant amount of downward force for the ball to have enough friction against the paper for the ball to roll. This might not seem like a big deal, but if you're writing a lot, it means that your wrist & hand will get much more fatigued with a ballpoint over time.

Put another way, ballpoints have absolute advantage over fountain pens, except for "sitting down and writing a lot."

So.... let's say that was even possible, and you did that.

You pay: $20,000 in $some_coin (ignoring gas fees for the moment) 1/100 of annual royalties is $1,142, taxable at your marginal rate (say 20%), so $913 free-and-clear.

Even without doing discounted cash-flow magic, that gets you to an annual 4.5% annual rate of return. Not great, not terrible.

BUT, you're doing this all in NFT-land, which means either you hold it (in a cold wallet, ready to be shown once the next royalty agency asks who owns this stuff), some other entity holds it (and you trust them and pay their fees), and no one has stolen your metaphorical apes over the next 21 years, which is just what it would take to make back the investment. Also, making the double-bank-shot bet that courts will recognize NFTs as proof of ownership, and that the NFT itself does not become taxable property, as a security.

Short of some kind of presumably inherent joy in interacting with a smart contract, I'm really not sure what you intend to gain, here.

Looking at most of the auctions, this looks like: "these are the deals that don't make the hurdle rate of the typical buyers, so let's make some money selling them to the dentists who like the idea of owning a song and won't look too hard at the return."

I'd love to be wrong, but I'm not seeing a good alternate explanation.

The telemetry is concerning, but I'm much more concerned about whoever else decides to use your telemetry hooks to exfiltrate data.

I'm 100% on board with trying out a new terminal that is fast and has features, but there's an implicit expectation of the simplicity of the communication channel, and... this is not it.

Just to put some numbers around that...

Density of ice at 0 degC is 0.92 kg/L. So, 1 kg of ice =~ 1087 cubic centimeters of space, or a cube ~4.25 inches on a side.

Rounding that down to 4 inches for the moment, you get 27 of those per cubic foot, or (260 Wh * 27) = 7.02 kWh, and then round that down to give the extra quarter-inch back, you get ~6.5 kWh/ft3 theoretical capacity.

A typical household in the US uses 10,715 kWh/year[0], so (10715/6.5) = 1648.46 ft3 for a household's worth of freeze-thaw battery storage, or a cube 11.81 feet on a side.

Yes, of course it's more complicated than that, but the scale is pretty interesting.

---

[0] https://www.eia.gov/tools/faqs/faq.php?id=97&t=3

A key differentiator is that airline seats are a perishable good.

That is, an empty seat has value until the plane takes off, at which point the value goes to zero. On the flip side, a traveler has an opportunity to be in that seat until the plane takes off, at which point its value is zero. People tend to understand that those values continuously vary with time, and so the price will vary with time.

To contrast, books (in specific) and consumer durables (in general) are not perishable goods. The notable exceptions tend to be time-based; try getting chocolates in the heart-shaped box right before Valentine's Day in the US... and then the day after. Since the value of the book doesn't continuously vary with time over the short-run, people don't expect that the price will vary.

How does Timescale handle lookup tables?

That is, "I have this seldomly-updated list of ~10000 things, and I'm going to need to join it against my time-series data."

With other time-series databases I've dealt with, it's an afterthought at best and the answer is typically "Enrich the data via flink/benthos/etc. on import and avoid using any kind of join."

Does Timescale's use of PostgreSQL circumvent this issue, both in terms of storage of lookup tables, and performance on join?

I've found you can determine a company's values based on who gets more resources: e.g. raises, promotions, etc.

Similarly, a company's anti-values could be discovered by who gets less; e.g. passed over for promotion, given a 'window seat', laid off, etc.

As far as I know, there is still a configuration I wrote at a previous employer where I left the remark:

  -----
  -- STOP. YES, YOU.
  -- 
  -- THIS CODE IS A PROOF OF CONCEPT THAT DOES HORRIBLE THINGS TO THE PLATFORM.
  -- THE FACT THAT IT WORKS AT ALL IS VERY VERY BAD.
  --
  -- DO NOT RUN THIS IN PRODUCTION. IF YOU DO, I WILL KNOW, AND I WILL FIND YOU. 
  -----

Twitter is a platform that offers a product. Your attention is the product.

The part of Twitter required to maintain a decent stock of product has not needed to change outwardly, because it hasn't had to. There hasn't been a new version of human in a very long time. But even then, anything that creates more product (drives more engagement) means more revenue opportunity for the 90% of the platform you will never touch.

The parts of the product that theoretically make revenue for Twitter have changed significantly over time. Analytics, ad intake/spend, promotion for influencers/brands/etc.

The typical big-casino rake isn't that large. From memory (it has been 2 years since I've physically been in a poker room), the typical rake at a full 9-player table at the Encore (Everett, MA, USA) worked out to ~$12-15/hour per person.

For a professional dealer, good chips, and a continuous flow of players, that seems like a pretty fair price to pay.

I still remember being in my AI class and having the teacher say "This course is taught in LISP. We'll be spending one class on the peculiarities of our system, but otherwise you're on your own. If you don't learn it, you'll fail."

They did eventually realize that teaching some of the basics would actually make for more successful students, and better alumni donations.

In the end, the CS Dept. started offering these things as zero-credit courses as a way to square the circle.

When James O' Keefe tries to run a fake witness scam on the Washington Post, and the newspaper successfully detects it, the community responds with "Well played!"

When a university submits intentionally buggy patches to the Linux Kernel, and the maintainers successfully detect it, the community responds with "That was an incredibly scummy thing to do."

I sense a teachable moment, here.