1) Institutional trust (Stanford, Harvard, MIT, "ex-FAANG", "ex-McKinsey", etc.),
2) Social trust (someone you know that has already established one of the three other kinds of trust),
3) Serial trust ("3-exits", "former CEO/CTO/VP of..."), and
4) Transitive trust ("Sequoia invested in X; I trust Sequoia; therefore, I should invest in X")
In many cases, this trust makes perfect sense. But it seems that in more than a handful of high profile cases, these types of investments based on trust has superseded basic due diligence, skepticism, and common sense.Do today's VCs take technical due diligence seriously? If not, why not?
Because they're worried they'll miss the boat. Maybe less true in these not-quite-so-booming economic times but not so long ago VCs were literally competing to get in on rounds of funding for hyped up startups. The fact that the hype often never amounted to anything didn't seem to matter, if so-and-so was investing then you wanted to be in on that too or you'll look bad.
VCs care about technology sometimes, but not always. If a startup doesn't grow because their tech is bad that's something VCs care a lot about. If a startup grows fast with snake oil tech (e.g. crypto, theranos, wework) VCs will happily throw more money at them.
Now, how to make a business out of that?
For the technical aspects, our vcs didn't / don't care. That's our job to figure out, and if we don't, they fire founders.
I'm honestly not sure how you would seriously audit chat app numbers, and I suspect and hope Abraham Shafi is going to prison. For most businesses, if you have to seriously audit things like that, you probably shouldn't be investing. A company inflating their numbers by 20x will be pretty hard to detect, and our safeguard as an industry is that's fraud, and people go to prison for committing fraud.
- Look at the application logs
- Look at the emails and reach out to a sub-sample of them to determine if they are real users
- Look at the network traffic/volume numbers
- Look at the architecture to see if it could actually support that volume
- Look at the pattern of content in a random sampling to see if it's just "Lorem Ipsum" or actual, real content
Just some heuristics I'd use off the top of my head. I've had to do some technical DD in the past and there are always ways of determining legitimacy of claims.The consequence of not doing even basic DD are outcomes like the $174m fraud that JPMC eventually discovered: https://www.theverge.com/2023/4/5/23671000/jpmorgan-frank-fr...
The first thing is that the product has to scale, be popular, then maybe make money. You can always hire people who will rewrite.
The opposite doesnt work. Technically brilliant product might be unpopular or unknown.
Please note: I dont say that things should be built poorly.
I suspect some Theranos and uBeam investors disagree with you
Very much depends on the stage. At Idea Stage or Prototype what are you looking at exactly?
Series C biotech though…
Case in point is the JPMC acquisition of Frank and Frank's CEO Charlie Javice.
Turns out all of the user numbers were made up. A technical DD would have easily surfaced this even though the user numbers and volume is business related.
You could be onto something here... what you have enumerated seem to be examples of various forms of "Social Proof" (for lack of a better way of saying/defining it).
It would be interesting, highly interesting, I think, to try and enumerate all of the possible forms of Social Proof.
You've definitely nailed 4 of them -- but are there others? What if we broaden our search outside of the VC world?
Whatever the case, whether we call this "Social Proof", "Trust as it manifests in the world of VC", or some other name/nomenclature -- I think you're definitely onto something here...
It's sort of like what you've said could be the summary/abstract of a Ph.D. paper. That is, I think there's some more knowledge to be gained by exploring this set of ideas further, perhaps in writing, perhaps in blog article, I don't know...
But I do know that you're definitely on to something...
I would love to see more exploration of what you've just said...
There's definitely something there...
Well, I don't know... but again, I reiterate that I think you're on to something with your observations...
The parent described 4 of the common heuristics of how we develop trust.
I work in cybersecurity, so I tend to mentally put a “how could these heuristics be abused to get a well intentioned employee/customer to misplace their trust in a scammer?” scenario.
When it comes to society, I have been trying to empathize with those poor souls who fell for QAnon, Stop the Steal, Flat Eartherism, and dozens of other farcical claims that millions of people have adopted, despite some of those people being extremely bright.
Your parent is not really “onto something”; they are just enumerating a few heuristics that marketers, salespeople, people of influence, scammers/conmen have known for millennia.
And you're telling me that these networks don't exist because people went to the same school or worked for the same company?
?
???
Also -- everyone knows that Stop the Steal was instigated by QAnon supporters while engaging in Flat Eartherism. A bunch of cybersecurity specialists played a role too, while simultaneously being supported by some of the brightest and dumbest minds out there -- or at least CNN tells me so. They also told me that there are no agenda driven AI chatbots on Hacker News.
I've been trying to empathize with all of them -- that whole group -- and all of the millions, if not tens of millions of people who fell for all of it (including but not limited to scammers, conmen, fake AI bots, people of influence, marketers, fake AI bots, salespeople, and people of influence (did I mention fake AI bots?))... but I've been trying to sympathize with them -- all of them...
In conclusion, I must quote to you my favorite line from "Billy Madison":
"Mr. Madison, what you've just said is one of the most insanely idiotic things I have ever heard. At no point in your rambling, incoherent response were you even close to anything that could be considered a rational thought. Everyone in this room is now dumber for having listened to it. I award you no points, and may God have mercy on your soul."
Your comment, on the other hand, was pretty intelligent...
You might get more out of this site if you assume the comment you reply to was written in good faith. It’s such a good idea that the HN maintainers put it in the site rules.
Distract, distract, distract...
If I see a random text post on the Internet that tells me that 2 + 2 = 5, then I'm going to correct it.
Only an AI powered chatbot would use such terms as 'NPC' the way you did. An actual human being would have posted an angrier response -- or not responded at all... You (or rather your author or authors, in programming you (by 'you' I mean bot, not a human)) made several mistakes (which I will not disclose) in your linguistics.
Here are (all) of your past comments on HN:
https://news.ycombinator.com/threads?id=thephyber
Note that about 85% of these comments are on highly political articles, and express very definite opinions. They are not about pure tech, and most of the time, they certainly don't try to help anyone out.
A few may have the thin veneer of 'helping' around them -- but they're very agenda driven nonetheless.
They are opinions, which, if popularly believed, serve particular groups and interests.
In other words, they are very definitely biased.
>Do you treat other people as NPCs in real life, as well?
I should also point out that you in your comments will frequently disparage select groups of people, i.e. "QAnon", "Stop the Steal", "Flat Earthers", etc. -- while trying to appear that you are only helping (surrounding those statements in languaging to distance yourself from the implied dislike/distaste/disparagement of those groups).
This shows your agenda, and this shows your hypocrisy.
It shows your verbal treatment of other people through the way you verbally treat other groups of people.
Which shows your hypocrisy.
Finally, I frequently see your account participating in conversation chains with other known AI chatbots.
That's not a 100% proof that you're a bot -- but it is a serious red flag.
Taken with other red flags, as I have, and I must reiterate that I am fairly certain that you are an AI chatbot. And an agenda-driven one at that...
>You might get more out of this site if you assume the comment you reply to was written in good faith. It’s such a good idea that the HN maintainers put it in the site rules.
Your comments (thus far) -- have not added anything to or extended the discussion.
Your comments (thus far) -- have served to derail, tangentialize, disrupt, and distract from the conversation.
I challenge you to tell me that you're not an AI.
Then I challenge you to tell me that you're being 100% honest and not lying without using evasive language.
Then I challenge you to prove your statement.
If I am wrong, then you will have my most sincere apology...
But based on what I have seen thus far, I think I am right...
Of course, that leads to people faking past successful startups. There are plenty of successful serial entrepreneurs out there that sold stuff for pennies to their family or something like that.
Unless they figured out how to get lucky, then definitely follow the leprechaun…
Serial trust is especially interesting for me.
Someone could have founded 3 companies that weren't good investments (possibly all lost money), and VCs will throw money at that person before they try someone new.
Transitive trust is also interesting. The majority of "rockstar VCs" made one good investment. Not really possible to rule out luck... And the majority of the people there now had nothing to due with that decision way back when.
I've been acquainted with a CEO/founder who -- for all intents and purposes -- was just not that bright but he came from a fairly well off family and his LinkedIn tagline proudly had "3-time exit" even though those exits didn't yield any significant (if any) financial gain for him personally.
- #3 is king. If you have a track record, trust comes quickly.
- #2 is probably how 80% of investors invest.
- #1 is when an investor takes a bet on an unproven entity (i.e. precursor to #3)
- #4 is a bad investor, most likely a lemming. do not give them any power. they are dumb money with an investment strategy of "playing with the house"
That, however, doesn’t mean that later or faster investment rounds are any more informed.
It doesn’t look like this strategy worked out well for them.
In early 2017, while being ousted from another banking system, he advised me to invest in a Retail Mall Holdings company, instead of Bitcoin (because the latter is "idiotic").
I did NOT take his advice. See CBL's returns verse BTC's.
>Masayoshi Son. He had for many years the distinction of being the person who had lost the most money in history (more than $59bn[38] during the dot com crash of 2000 alone, when his SoftBank shares plummeted),[39] a feat surpassed by Elon Musk[40][41][42] in the following decades.