0/ VCs benefiting from offering bad advice to founders is such a tired canard. But it’s repeated enough that it’s worth addressing in some detail (a thread)
1/ VCs avoid investing in companies that don’t have potential for venture economics. We vet heavily for this. Founders' intentions is a huge part of the calculus. If there is early misalignment in vision and expectation, something went very wrong during the investment process.
2/ Different investors have vastly different risk tolerances and return expectations. There are many funds that invest in smaller TAMs or focus on efficiency over growth. It is incumbent on both sides prior to investment to ensure alignment.
3/ For the upside case, both founders and VCs are incented to aim for the highest expected value of the stock price that the company can reasonably execute towards. Most mid-stage VCs prefer predictable growth to very low-probability, high value outcomes.
4/ For the downside case, VCs work very hard to avoid bankruptcies. Not only are they costly, they consume tremendous firm resources, including GP time which is often the limiting resource. And they are reputationally damaging if mishandled.
5/ Unequivocally, VCs will vastly prefer a 1x return to a bankruptcy, and a 2-3x to a 1x. No rational investor would risk these outcomes on the chance of a better outcome where the expected value is lower (probability of outcome x value).
6/ This idea that VCs will push for growth at all costs is also untrue. Most experienced board members (VC or not) know that premature scaling can kill a company. In fact, VCs tend to be less optimistic than founders about PMF and often caution against GTM scaling.
7/ Of course, there is a large middle ground between the downside and optimal upside cases where the utility of an outcome differs between stakeholders. For example, $20m can change the life of a founder, yet isn’t a meaningful return for a fund.
8/ There are a lot of mechanisms for aligning investors and founders. Secondary is a very useful one (I sold secondary as a founder). And there is a lot of post investment flexibility on comp and common grants that aren’t afforded to investors.
9/ VCs are far from a unified class. And alignments change over time. For example, early stage investors are often more aligned with founders than they are with later stage investors.
10/ VCs or not, misalignment is common among stakeholders. It can exist between members of the founding team. I had it in my company which I co-founded as a poor grad student with a successful serial entrepreneur.
11/ Many founders prefer to take less money and retain more control. Investor guidance is tempered by this, as well as the cash position. A rational VC knows advice blinkered to these boundaries is ineffective and doesn’t benefit anyone.
12/ Yes, VCs give a ton of bad advice. Yes, there are many cautionary anecdotes of VC largess. But we also sit on a lot of boards, and across our portfolios have broad visibility across the industry. And there are good lessons to be drawn from that.

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with martin_casado

martin_casado Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @martin_casado

14 Dec 20
0/ Full BOM for building a 2.5Ghz LTE cell tower for under $20k.

Can serve 150 end points at up to 6 mile range. We've (@MuralNetwork) deployed dozens of these in very remote locations and they work great.

Thread:
1/ ProLine 2.3-2.7GHz 65 Degree + 3.5-4.2GHz 65 Degree Dual Slant Dual Band 4-Port Sector Antenna (Two Sectors in One Shell

winncom.com/en/products/KP…
2/ Baicells Nova R9 2.5 GHz 10W Band 41 LTE Outdoor Base Station

ispsupplies.com/Baicells-NOVAR…
Read 17 tweets
29 Nov 20
1/ Advice on finding “the right idea” is often a variant of the tired painkillers vs. vitamins cliche -- focus on a problem you’ve experienced or others are experiencing yada yada

Yet, many impactful ideas were more akin to aesthetics, how founders felt the world should be.
2/ Take compute virtualization. For decades, VMs were an elegant oddity. The VMware team viewed them as the right way to abstract compute but weren't quite sure the killer use case(s). And yet that led to multiple deca-billion dollar markets.
3/ Many platforms and OSes have followed similar paths. They didn’t address a particular burning need now, but if adopted they would change how we did work and thought about work.
Read 6 tweets
28 Nov 20
I’ll have a go - raw numbers are correlated with turnout, not relative popularity - 94% of democrats voted for Biden and there are 5% more democrats than republicans nationally - the only demographic that voted majority trump is white males (and they only make up 30% of the pop)
- exit polls contradict a number of these claims including LatinX voters outside of Florida and oil-dependent Tx (both that went Trump) - absolute gains for blacks are correlated with record turn out, exits polls show overwhelming backing of Biden
- much of the anomalistic skewing happened during mail ins in an election where the incumbent told his constituency not to trust ballots over mail
Read 5 tweets
12 Aug 20
[New Post] The economics of AI / ML companies are poorly understood.

In this post, @BornsteinMatt and I cover some of the core challenges and how they are being tackled by top teams in the industry.

a16z.com/2020/08/12/tam…

Highlights below 👇
1/ Unlike traditional software, margins, scalability, and defensibility for AI companies are usually a function of the problem -- not the technology. And often the problems are ugly.
2/ Many AI problems show long-tailed distributions of input data (meaning most inputs happen infrequently), and supervised learning is not well equipped to handle it.
Read 14 tweets
3 Aug 20
0/ A very interesting trend to watch is the disappearance of pre-sales, and what it means to GTM tooling. (a thread)
1/ Pre-sales has traditionally been the function that brings a new customer to technical and financial close. Generally it involves an account rep (AE) and a sales engineer (SE) to educate a customer on the product, do technical demos, PoCs, integration etc.
2/ However, with the shift to bottom-up this role is changing. And in some cases going away entirely. This is happening so fast that a surprisingly high portion of new founders don’t even recognize the “pre-sales” / “post-sales” lingo.
Read 14 tweets
9 Feb 20
0/ There is a dazzling amount of inconsistency in what GTM metrics are presented at board meetings of early stage b2b companies. Here is my hit list of the most important, and why:
1/ CARR - total contracted annual recurring revenue is the single best metric for the health of a business. It encapsulates new logo growth, expansion, and churn in a single number. If you only show one number, use this one.
2/ Live ARR - Some board members prefer LARR to CARR because it can take a long time to implement a deal. And some never make it. Both is best, but for early stage companies I prefer CARR as it signals the market.
Read 14 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!