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drinkzima

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omni.co

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www.theverge.com 2y ago

Google Jamboard Getting Deprecated

drinkzima
6pts1
www.exploreomni.com 3y ago

Faster Analytics with Apache Arrow

drinkzima
2pts0
www.cnbc.com 8y ago

AWS $20B run rate growing 50%

drinkzima
4pts0
www.sec.gov 9y ago

Mulesoft Files S-1

drinkzima
1pts0
www.looker.com 10y ago

Big Advances in Big Analytics

drinkzima
5pts0
www.kickstarter.com 11y ago

AB Testing at Kickstarter

drinkzima
1pts0
pan.oxfordjournals.org 11y ago

3M More Americans Could Have Voted Last Election

drinkzima
1pts0
online.wsj.com 12y ago

King Digital (Candy Crush) IPO Prices at 7.5B

drinkzima
1pts0
blogs.wsj.com 12y ago

Lyft Raises $150M at valuation of $700M

drinkzima
2pts0
blogs.wsj.com 12y ago

Twitter’s Ballooning Market Cap

drinkzima
1pts0
www.businessinsider.com 12y ago

Uber Surge Pricing Hits 8x in NYC

drinkzima
1pts0
m.eater.com 12y ago

Opentable Acquires Urbanspoon's Rezbook

drinkzima
2pts0
www.forbes.com 12y ago

Yelp Shares Up After Beating Q2 Estimates

drinkzima
1pts0
dealbook.nytimes.com 13y ago

Calculating Apple’s True U.S. Tax Rate

drinkzima
2pts0
www.youtube.com 13y ago

Google IO Live Presentations

drinkzima
4pts0
www.npr.org 13y ago

Scientist Films First Footage Of A Giant Squid

drinkzima
1pts0
online.wsj.com 13y ago

In China's Cyberspace, Dissent Speaks Code

drinkzima
2pts0
blogs.wsj.com 14y ago

ZNGA down 35% on surprise loss.

drinkzima
62pts37
www.bloomberg.com 14y ago

Netflix Plunges On Guarded Outlook For New 2012 Signups

drinkzima
1pts0
gizmodo.com 14y ago

The Secret Online Weapons Store That’ll Sell Anyone Anything

drinkzima
5pts0
www.nytimes.com 14y ago

MasterCard and Visa Settle Antitrust Suit

drinkzima
1pts0
www.spiegel.de 14y ago

Learning from Fish Could Prevent Crowd Panic

drinkzima
2pts0
www.cbsnews.com 14y ago

When Yelp advertisers yelp at rates

drinkzima
1pts0
blog.tartanlabs.com 14y ago

Rebuilding the Credit Crisis with Online Ads (and it’s gross)

drinkzima
5pts2
blog.rushrez.com 14y ago

Google Ads of the Future

drinkzima
13pts2

The issue is that there isn't a great alternative.

The euro is difficult to manage because of the diffuse control, pound an even smaller economy, RMB just not global enough (and tough argument to see that happening), gold/bitcoin/whatever not the same inherent stability.

Indeed the dollar weakening, but nothing really to take it's place.

The straw man is always that self-serve fails because every user cannot use data well at work. The reality is some users will be inclined to solve their own problems and others will not, but self service is available to many users with deployed BI, and SQL is nearly always not the way they are doing it.

Most times I see this type of article, it's with folks that have never worked in a modeled BI tool. Salesforce data, for example, is very complex. But an ability to make a table of live opportunities with metadata and order them freely, next to usage data in an app is self service BI. It's not hard; it takes some setup; but it's self service.

The idea that folks can jump from business understanding to fully mapping the data as it lives in the data warehouse, on the other hand, is not trivial and won't be. The nuance of the real world is hard.

Different types of users need different interfaces - SQL all the way down to point and click. And there's no free lunch on modeling raw data to bring it to a consumable place for the company.

Instacart S-1 3 years ago

Gross profit is what most people think of as revenue. What they start with after goods and shoppers less COGS.

Hot or Not? 4 years ago

Has anyone found credible research around mean, min, max, average vis-a-vis climate change? Quick search didn't surface anything beyond lots of average temperatures and median forecasts, but less about the distribution of climate.

Edit: trying to understand the decomposition of average temperatures increasing (more hot days, hotter hot days, etc)

Maybe single day move on acquisition announcement - ATVI up quite a bit on 1/18, MSFT down that day.

As an aside, the methodology says "We calculate the correlations between 2 securities on the daily closing values of the last 20 years. If one of the two securities has not been on the market for so long, we use all available prices to calculate the correlation." - hopefully the author means daily changes, not daily values, because otherwise everything is spurious.

Specific terms that offer pro rata re-assignment at YC discretion:

"Neither this Agreement nor the rights contained herein may be assigned, by operation of law or otherwise, by Investor without the prior written consent of the Company; provided, however, that this Agreement and/or the rights contained herein may be assigned without the Company’s consent by the Investor to any other entity who directly or indirectly, controls, is controlled by or is under common control with the Investor, including, without limitation, any general partner, managing member, officer or director of the Investor, or any venture capital fund now or hereafter existing which is controlled by one or more general partners or managing members of, or shares the same management company with, the Investor."

This seems odd to write, as [I believe] YC has one of the strongest, least-founder-favorable versions of pro rata. YC sets so many market terms for startups, they could change this dynamic.

In all of this fever people seem to be ignoring this is a diff of $2m of tax incentive down to $1m of tax incentive on someone taking home $6m dollars (the diff between long term cap gains and the 0% with and without the 50% exclusion on $10m).

It’s sad for that person, but the most meaningful impact is to VCs and angels that receive this exception multiple times. Less than the diff of leaving California for a single exit.

Lemonade files S1 6 years ago

It's based on timing of hires. These are grants over a fixed time period. The others have shares vesting from before.

"Consequently, we filter our dataset down to only those companies that raised a seed round with AngelList, and those companies’ subsequent rounds of fundraising that we have information on"

Doesn't that mean the conclusions of this are based upon only companies that did a follow-on round, not companies that raised money in general? Of course there are seasoning effects, but throwing out all the companies that can't raise to conclude "Our model shows that at the seed stage investors would increase their expected return by broadly indexing into every credible deal".

If that was the case, the conclusion should be "our model shows that seed investments that receive follow on investment should be indexed to", but that isn't know at the time of the previous round. The discussion seems to ignore the huge bias of censoring as well, but I might be missing something and I didn't get through every word.

This isn't actually true, because 409a valuations (where your options are struck) sit at what most would consider a meaningful discount to the actual value of the company (often 30-50% of the preferred, below where secondary is even happening in late stage companies).

That said, the strike does reduce the value of the options vs something like RSUs, but less than this comment infers.

Right - it's the level dictated by the zoning laws we all agreed to when we built a governmental framework for property ownership and the management of it's externalities.

Ownership literally doesn't mean you can do whatever you please, that's the point of the top-level comment here.

This is based on a concept called price parity, for which there are exceptions - including opaque rates, packaged bookings, and last minute / mobile. HotelTonight is able to fit inside those limitations when selling rooms last minute - so they are indeed often cheaper than other aggregators or booking direct.

This ignores the leverage applied to a typical primary residence purchase via fixed rate debt. With 20% down, your return is 5x inflation, and housing indeed is a perfectly reasonable investment when you amortize transaction costs over an extended period of time.