Do today's VCs take technical due diligence seriously? If not, why not?
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.
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.
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.
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...
Now, how to make a business out of that?