WingH

On the other hand, spending most of your time learning new syntax as opposed to actually solving creative problems makes one more like a glorified factory worker.

Care to share type some examples of data you've found that was used to produce financial forecasts?

Why is YipitData not very good?

Very very early was a decade ago when they were looking for investors :)

Me too. I always tend to wake up the exact same time (right down to the minute) every single morning, no matter how early or late I sleep. And I don’t set an alarm clock and use blackout curtain.

What are some examples of interesting market analysis you can do this with this data?

“Today it's nothing that any HNer taking CS classes at university couldn't do over spring break.”

How can any HNer do this if it relies on classified metadata? And how does Palantir even get this classified metadata? their customers?

What I find irritating is this constant portrayal of them as this “secret, data mining, all-knowing” technology company that can predict anything. even though everyone saying they don’t know how Palantir works under the hood.

So yeah I definitely believe they are just a well-marketed, hip IBM.

Also the fact most US maps show Alaska and Hawaii semi-separately makes me think its 50 plus 2.

A Mandela effect that stuck with me was that North/South Korea were detached islands a bit south of Japan, but detached from China.

That and the fact the US has 52 states not 50

Yep I am calling man-made gems “real” diamonds from now on.

Der Bers, take that! (I hope your social listening catches this)

Tons of people live in the Lower East Side with affordable rent. Think Chinatown, etc.

Of course that is not where people usually associate with Manhanttan..

I would do that too.

But the notion of getting paid for your data, when its worth so little by itself is not appealing.

But the value of my data alone probably is worth less than a dollar to Google and Facebook. Given the choice of getting paid a dollar, or using it for free (in exchange for them using my data), I would choose the latter.

Only in aggregate is it worth a lot.

this is true. Take 10 million couples and maybe 1 in 10 million, this happens, and this is what we hear in the news.

We never hear about the wife that lives 10 more years after their 85+ year old husband dies.

Also, it's much easier to jump from 10 employees to 40, rather than from 1000 to 4000. So this list is very biased.

A good example is this image in your homepage: https://www.airshiphq.com/dist/static/media/control-targetin...

This image serves absolutely no useful purpose (What is it?). It would've been much useful to see a screenshot of the product where you could set feature flags to at least give us an idea on what your product does.

Reminds me very much of what Eckhart Tolle says. “You are not your personal history. You are not your story.”

In addition to ETFs, why not go 1 step further? Offer hedge funds too. Amazon has a ton of data on which consumer brands are overperforming every quarter. Use that data to make investment decisions.

No thanks, I'll take tax shelter over all of the above :)

Yes, there is often times a lot of money to be made (see Buffer and their dependency on the Twitter api). People say you shouldn’t start a business depending on a 3rd party, but what if your only profitable idea depends on one?

Is there such a thing 'escrow as a service' in face to face transactions?

I agree. That ship has sailed long ago for me. I actually liked Google Talk, when it was incorporated to your email. Then they came out with something called Hangouts that does GodKnowsWhat.

There is an opportunity cost in playing though. There might be a 10% chance of $1 million but what if it required giving up $100,000 in opportunity costs?

I have this issue as well. I just over-allocate nodes to my cluster so every node is comfortably below a disk usage threshold rather than waste time on optimizing this.

Nobody gets fired, but nobody gets promoted either.

BuzzSumo | buzzsumo.com | REMOTE (Must be citizen in UK, France, Germany, or USA) | Full Time | £55,000 to £65,000

BuzzSumo provides social insights to marketers and publishers. We run extensive crawlers that crawl the entire web 24/7, storing terabytes of data that need to be indexed, processed and queried. Our SaaS product is used by over 3400 customers, ranging from publishers like BuzzFeed to Fortune 500 brands like Disney.

We are looking for a backend engineer with at least 3+ years of Ruby experience. We prefer candidates with experience working with either large Elasticsearch clusters, or enterprise-scale Sidekiq deployments. If you hate front-end work, or love writing crawlers, you're probably what we are looking for :) Our entire team works remotely.

What you'll be doing:

- Build new backend features for the BuzzSumo platform using Ruby as our main programming language.

- Possible NLP work involving topic classification

- Occasionally perform devops-related tasks such as upgrades on existing infrastructure (ie Elasticsearch servers)

Tech Stack

- Elasticsearch

- Sidekiq

- Ruby/Ruby on Rails

- Postgres

- Redis

Note: Due to employment laws, we can only hire someone who is based in 1 of these countries: UK, France, Germany and USA. The role is remote, however.

Contact henley@buzzsumo.com with your resume if interested, and mention HN.

“He hesitates when it comes to sales because he does not see himself as a sales person.”

isnt this a warning sign to you? at such an early stage you simply dont want just a “strategy” person who doesnt want to get his hands dirty

I thought I was the only weirdo that prefers to interact with random strangers rather than people I know on Facebook. I miss the days of IRC and AIM screen names. Now we have "real name policies"...

“I think we need each other."

This is the epitome of cognitive dissonance. Deluding oneself into thinking Facebook "needs" them, when in actuality it's Facebook with 1000 times the power. Did anyone seriously believe this?