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fasteddie

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Another headstone in the google graveyard. This one doesn't make any sense to me, either, unless there are weird regulatory issues they want to avoid since it seemed like a very popular registrar. Or maybe they just didn't want to staff any limited customer support team.

This is one of my pet peeves of GDPR! Your nephew and IP Octet cases are very extreme edge cases that we shouldn't build policy around if there are major drawbacks to including them. It's bad there is ostensibly no compliant way to count anonymized unique users in Europe under the current framework.

The people actually building the buildings (developers) are, generally, different than the people renting out buildings (landlords). Developers profit when more units are built, landlords are hurt with increased competition.

Also, recent California law was changed so that the maximum allowable annual rent increase is ~10% (still rough if you are hit with that, but better than 30%).

As much as the HN crowd dislikes to hear it, the biggest gaming console in the world is the smartphone. PC Gaming is almost as big as the entire console market, bigger than any individual platform. Any publisher-focused antitruster would have microsoft leaning very hard into those facts.

That's the point, though. I could make a non-crypto based money transfer software that does not store sender or recipient information in the db. That too would make it impossible for that software comply with the law. Or the authors sculpture example.

Just because the nature of the software makes it impossible to comply with particular laws doesn't make it good or bad. You need to make a value judgement if the regulation itself is valuable.

A new small apartment in San Francisco cannot be built for less than $800k these days, so coming in a $333k per resident is not too surprising to me in a similar high-cost city with a building with a ton of amenities.

As a mediocre armchair accountant, I'm interested in how to read their P&L since so much of the loss is depreciated clothing, which they presumably continue to rent out even after they mark down the value of the clothes.

Presumably a dress has a much higher LTV in future implied subscription income then its inherent accounting liquidation value.

This is a great, clean explainer.

Series B seems to be the sweet spot to me if you would like to avoid working at a FAANG but want similar EV in your comp package, assuming you are decently good at guessing winners.

At that point the company is meaningfully de-risked but the equity offers are still pretty good for mid-career folks that you end up with millions in a good exit.

I'm a bit confused reading this. Is the lawsuit that users signing up for e.g. Venmo didn't know that they were also giving their transaction history/whatever to Venmo, or that Plaid was then taking the data passed to Venmo and reselling to, I don't know, a hedge fund?

If it's the former -- I certainly think services need to clearly state what/why/how they are using the data, but it's on the services (like Venmo) and not Plaid.

I once used a very dumb feature flag set up to get around a rule an Apple reviewer told us were breaking, just for review period. The supposed rule violation was around for a year and no one had flagged it except for this one reviewer, and they were clearly interpreting the policy wrong. Easier to make a flag to appease then try and work up the management review chain.

This wasn't malware or anything like that, but goes to show limits of automated review.

It's just wild to me that HN commenters are predominantly starting the timeline at her resignation ultimatum, and not what prompted it.

She was working on a known-to-all controversial research project, which was asked to be retracted via an anonymous feedback doc delivered via HR! That is a very screwed up thing to do. All reactions from her from that to me are totally justified.

I'd wager the list of folks who: -hold a meaningful enough short position for a potential attack to be worth, say $500k or more (not a rando robinhood trader with a $200 put) -are not an existing bank or long term day trader

is already quite small, and could be quickly prioritized based on how anomalous the trade was, other flags (foreign national, software engineering babckground). I suspect the SEC could get to a workable list of 50 prime suspects reasonably easily.

I loved Sprig. I used to use them as my example of a favorite product when asked in interviewed. Problem: I am hungry right now and can't/don't want to cook. Solution: As the founder notes, once signed in, it was literally three taps to get food to my door really quick. Also the design was beautiful.

Doordash, UberEats, et. al have certainly (glactically) widened the variety of food I could order, but I always find myself suffering from choice anxiety when I open those up. Sprig gave me a protein and veggie I could order without thinking too hard.

I get why the food delivery model doesn't work well in the US for anyone, and I did notice Sprig's decline in food quality, but I am still sad the company is gone.

As someone who as implemented similar CC blockers before: people who forget to cancel leave after one month, leave a bad reviews which affect future growth, and make churn numbers bad. I do not want many of those people, and will both send multiple reminders that they will be charged and refund them no questions asked.

But for any business that requires some amount of human support for users, it can be much easier to convert 15 out of 100 signups than out of 1000.

Maybe just a little before Casper was founded, I bought a memory foam mattress off of Amazon that was well-reviewed and could be delivered with Prime. It's been a great mattress. That's still an option today -- and at a few hundred dollars cheaper than the main DTCs, I'm not quite sure where they can really provide a ton of additional value.

Looker is a lot easier for business users to do simple ad hoc analysis in my experience.

Periscope is easier to turn basic SQL into visualizations and dashboards, Looker requires you to do some extra modeling to get it working.

I've used both, and strongly prefer Looker. But Periscope is likely better for small companies where SQL writers are the only one that really need to do analysis, and does this job pretty well.

But a big congrats to the Periscope team!

Fastly S-1 7 years ago

Sure, but that's factored into LTV calculations. If the average customer lasts 5 years before they churn because "Everyone is using X", then you get 5 years of recurring rev off that marketing spend.

In recent years I've switched a lot to watching a non-fiction author's 30 minute talk on youtube about their book rather than reading the book entirely.

This is especially true for business/self-improvement type books, where I've found its almost never really time efficient when I'm really just looking for the list of 5 things I should be doing and skipping the extraneous pages of anecdotes.

My unpopular opinion (based on reading this thread) is that VR's killer app will be sports. Sports is a great fit:

-Once set up, it should be very straightforward to get cameras set up in a repeatable way. Venues have the money to set this up

-Fans willing to pay lots of money for an immersive experience

-No need to deal with many of the issues around the user needing to move around

The biggest challenges will be getting processing/rendering good and quick enough to respond in real time. I personally can easily imagine a future where you can buy the equivalent of a front row seat to a Giants game as part of a season pass just as you would from mlb.tv