Can you describe what Quora did? I've heard a few reports that it's not like it used to be, but I've found it useful, and am curious as to what makes it worse than before.
Now it's a "modern" ExpertSexChange where "online marketing specialists" ask questions with one account and answer their own questions with another account.
"Disclaimer haha I work for Bullshit.ly as a growth ninja but here's my response..."
"In conclusion I'm not saying you should totally checkout our stuff ... but you totally should. just my 2 cents."
And they are getting more sophisticated so it's not always so easy to spot.
www.excite.com
The look on their faces when I suggested they actually verify the site before firing whoever it was.....
I used to have an excite.com email.
Edit: I'm glad to see they're still up and working hard to service customers at: http://www.penisland.net (totally safe for work, trust me)
A: In most cases we can handle your wood.
I remember I used to have to log in to read content back in 2013ish, but I don't have to do so right now.
OK just give me a second..
The exception to that rule is Stack Exchange, because they have a business model that is unique to the space and impossible to replicate for a site like Quora (Genius, Answers.com, wikiHow, et al.).
Quora has to allow low quality content on their service in order to keep the volume up, to drive traffic & clicks, to drive ad potential, to avoid the dreaded down rounds and eventual drift toward forced sale. There's only so much legitimate high quality content for a site like Quora and it's nowhere near enough to validate a $2 billion valuation (much less higher).
Consider for a moment that Yelp - which is a real business in a highly monetizable segment, that is also profitable and will hit an annual billion dollars in sales soon - is worth $3 billion. So if you get a $2 billion valuation as Quora, where are you going from there? It's obvious.
Genius is facing the same exact fundamental problem that Quora is. Take a lot of money from VCs, get a big valuation, find it impossible to live up to it. Turns out normal people don't want to annotate everything and could mostly care less unless it's a more narrow passion segment (music).
There are only two paths for knowledge services. Stay small and very lean, aggressively limit costs, and use an ad model - that's wikiHow. Or go the Wikipedia route. Anything involving VCs will end in disaster and or forced sales. Knowledge services properly have to think very, very long-term (if they're actually trying to fulfill a knowledge mission and aren't just traffic fronts), they need a decade outlook or more. VCs think short-term, they look at ~5-10 year type exit outcomes. High quality, long-lived knowledge services are fundamentally opposed to a focus on exits in any manner, as they have a higher calling than looking for an exit for a VC - and any deviation from that must inherently destroy the community.
How does flooding my feed with dozens of questions about what the probabilities of different subsets of the faces are when rolling a die (e.g. what's the probability of getting an even number or greater than 5 when rolling a die?) help drive traffic, clicks, and ad potential?
CS major in first year who has been interested in math and science as a kid? Probably not.
First year college in the USA is very broad. It’s not like university in Europe / UK where you specialize in one subject only for your bachelors.
I tried to argue against someone with this. I even tried scaling the problem down to being two balls drawn from a pool of four, and showing how if you buy multiple tickets, your chances of winning greatly increased. And they accepted what I was saying, but just insisted that the math "doesn't scale" and it doesn't work the same when it's 5 balls drawn from a pool of 69.
Even worse, she tried to say something like "You're really good at math. You should know this!"
This blows my mind, but at least it means they aren't wasting even more money on the lottery.
https://www.forbes.com/sites/daveywinder/2018/12/04/quora-ha...
There's definitely value to be created, but the catch is focusing. Someone will pay for the best data on their problem. Very few people are interested in buying 100 dumpsters full of random text: I can't see general services like Quora ever being worth much.
Freebase had no business model and Metaweb took $57 million in VC. Then Google took the public service, which had been built up by a large community, and effectively buried it.
As with most of the other cases, their only possible path that involved sustainability and long-term knowledge value, was to not take VC, stay lean, and either API their system for a fee (not a huge business), or run an ad model. Either way, their business case was small, and they took a lot of VC. The end result, another dead, formerly promising, knowledge service in an increasingly long list.
I guess the goal was to incentivize users to answer more questions.
But Quora was nice because you would find for almost each question an answer from a real expert in that specific question. And that's pretty unique by definition.
Result was that the best answers were often not the top 1 despite having way more upvotes -> bad user experience. True experts almost stopped answering because what was the point if it was going to be hard for users to find their answer, and certainly they wouldn't bother to start answering a bunch of questions on the site just to increase their ranking.
Low level/high volume content took over Quora.
Upvoting alone is enough to make me sign in to SO when I'm mysteriously logged out. SO saves me enough hours to justify that small curtesy.
People would immediately sign up for SO if it were tied to their productivity.
That is, unless answer providers have no interest in using the site for anything else. That's true in some cases.
It's basically a crapshoot as to whether the person is a blowhard or knows what they're talking about.
It wasn't clear if he was working for Quora or working for somebody who wanted to spam Quora, but the damage is done.