The Tale of Two Risks: Market and Execution

market, flea market, farmers market

Folks coming out of school and/or are still in school often ask me how they should break into venture. It’s surprisingly a timeless question. The goalposts change every era. And as the signal-to-noise ratio and regression line oscillates in bull and bear markets, young professionals chase a moving target.

That said, while my opinions will likely change when the facts change, as of now, this is my best proxy for a timeless answer. Market risk versus execution risk.

Let me elaborate.

Early in your career, you should take market risk. Bet where others are not willing to bet. Or have the same starting point as you do. If the starting line is even, it’s all about how much faster you can run compared to your peers. And if you can outlearn them, ideally because of internal drive and motivation, you’ll be the incumbent in the space in the future.

Execution risk is what you pursue as you grow. Your network, your expertise, and your experiences make you a more robust executioner. You’re an incumbent. You’re a juggernaut. There’s no reason to focus on this risk when you’re younger because you don’t have an unfair advantage here. In fact, you have an unfair disadvantage. Others more senior to you have a better network, more expertise, and have done more reps than you have.

Steve Jurvetson recently shared the only rule of business that is inviolate. “Take any company that is large or top three in their industry. They will never lead the charge to disrupt that industry.” He goes on to say, that even in recent years, Google didn’t fight to change search until OpenAI. Apple is innovative outside their core business, but never in their core business. So as a result, innovation needs to come from the bottom. People who are willing to take market risk.

Similarly, in venture, as a young VC, you need to build your own thesis. For as long as you are investing on the basis of someone else’s thesis, you are competing on execution risk. And every VC who’s older, wiser, and more connected than you are on that thesis will out-execute you.

So… the risk you have to take is betting on a brand new thesis. That no one else is pursuing. No one else is investing by it. And that… is market risk.

The above is no less true if you’re an emerging GP. Your fund lacks the resources, likely the connections, the experience, the talent, and the ability to out-execute your incumbent on your incumbent’s thesis. The solution is to just not play when they have the home field advantage.

It’s why thesis and the question “Why does another venture fund need to exist?” matter so much to LPs betting on new fund managers.

Photo by Kayle Kaupanger on Unsplash


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The views expressed on this blogpost are for informational purposes only. None of the views expressed herein constitute legal, investment, business, or tax advice. Any allusions or references to funds or companies are for illustrative purposes only, and should not be relied upon as investment recommendations. Consult a professional investment advisor prior to making any investment decisions.

Why Product-Market Fit Is Found In Strategically Boring Markets

streets, ordinary, boring

In the past decade or two, there have been a surplus of talent coming into Silicon Valley. In large part, due to the opportunities that the Bay had to offer. If you wanted to work in tech, the SF Bay Area was the number one destination. If you wanted to raise venture money, being next door neighbors to your investors on Sand Hill Road yielded astounding benefits. Barring the past few months where there have been massive exoduses leaving the Bay to Miami or NYC, there’ve been this common thread that if you want to be in:

  • Entertainment, go to LA
  • Finance and fashion, go to NYC
  • Tech/startup ecosystem, go to the Valley.

While great, your early audience – the innovators on your product adoption curve – should not be overly concentrated there. All these markets carry anomalous traits and aren’t often representative of the wider population. Instead, your beachhead markets should be representative of the distribution of demographics and customer habits in your TAM (total addressable market).

While Keith Rabois could have very much built Opendoor in Silicon Valley, where more and more people were buying homes to be close to technological hubs, he led the early team to test their assumptions in Phoenix, Arizona. On the same token, Nikita Bier started tbh, not in the attention-hungry markets of LA, but in high schools in Georgia.

“Boring” virtual real estate

Strategically boring markets aren’t limited to just physical geographies. They’re equally applicable to underestimated virtual real estate. You don’t have to build a mansion on a new plot of land. Rent an Airbnb and see if you like the weather and people there first.

As Rupa Health‘s Tara Viswanathan said in a First Round interview, “Stripping the product down to the bare bones and getting it out in front of people for their reactions is critical. It’s rare for a product not to work because it was too minimal of an MVP — it’s because the idea wasn’t strong to begin with.”

As she goes on, “If you have to ask if you’re in love, you’re probably not in love. The same goes with product/market fit — if you have to ask if you have it, you probably don’t.”

Test your market first with the minimum lovable product, as Jiaona Zhang says. You don’t have to build the sexiest app out there. It could be a blog or a spreadsheet. For example, here are a few incredible companies that started as nothing more than a…

BlogsSpreadsheets
HubSpotNerdWallet
GlossierSkyscanner
GrouponStitch Fix
MattermarkFlexiple
Ghost

The greatest incumbents to most businesses out there really happen to be some of the simplest things. Spreadsheets. Blogs. Facebook groups. And now probably, Discord and Slack groups. There are a wealth of no-code tools out there today – Notion, Airtable, Webflow, Zapier, just to name a few. So building something quick without coding experience just to test the market has been easier than ever. Use that to your advantage.

Patrick Campbell once wrote, quoting Brian Balfour, CEO of Reforge, “It’s much easier to evolve with the market if your product is shaped to fit the market. That’s why you’ll achieve much better fit between these two components if you think market first, product second.”

Think like a designer, not like an artist

The biggest alphas are generated in non-obvious markets. Markets that are overlooked and underestimated. At the end of the day, in a market teeming with information and capital and starved of attention, think like a designer, not like an artist. Start from your audience, rather than from yourself. Start from what your audience needs, rather than what you want.

As ed-tech investor John Danner of Dunce Capital and board member at Lambda School, once wrote, “[the founders’] job is to find the absolute maximum demand in the space they are exploring. The best cadence is to run a new uncorrelated experiment every day. While demanding, the likelihood that you miss the point of highest demand with this approach is quite small. It is incredibly easy to abandon this kind of rigor and delayed gratification, eat the marshmallow and take a good idea and execute on it. Great founders resist that, and great investors do too.”

Spend more time researching and talking to your potential market, rather than focusing on where, how, and what you want your platform to look like. Obsess over split testing. Be scrappy.

Don’t fail the marshmallow test

We’re in a hype cycle now. Speed is the name of the game. And it’s become harder to differentiate signal from noise. Many founders instantly jump to geographically sexy markets. Anomalous markets like Silicon Valley and LA. But I believe what’ll set the winners from the losers in the long run is founder discipline. Discipline to spend time discovering signs of early virality, rather than scale.

For instance, if you’re operating a marketplace, your startup is more likely than not supply-constrained. To cite Brian Rothenberg, former VP of Growth at Eventbrite, focus on early growth loops where demand converts to supply. Ask your supply, “How did you hear about our product?” And watch for references of them being on the demand side before.

Don’t spend money to increase the rate of conversion until you see early signs of this growth dynamic. It doesn’t matter if it’s 5% or even 0.5%. Have the discipline to wait for organic conversion. It’s far easier to spend money to grow than to discover. Which is why startup life cycles are often broken down into two phases:

  • Zero to one, and
  • One to infinity

Nail the zero to one.

In an increasingly competitive world of ideas, many founders have failed the marshmallow test to rush to scale. As Patrick Campbell shared in the same afore-mentioned essay, “Product first, market second mentality meant that they had a solution, and then they were searching for the problem. This made it much, much more difficult to identify the market that really needed a solution and was willing to pay for the product.”

The more time you spend finding maximum demand for a big problem, the greater your TAM will be. The greater your market, the greater the value your company can provide. So, while building in anomalous markets with sexy apps will help you achieve quick early growth, it’s, unfortunately, unsustainable as you reach the early majority and the late majority of the adoption curve.

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How to Identify Market Opportunity and Recognize Market Inefficiencies

round gold colored pocket watch

I was raised a swimmer. From 4 years old, my parents sent me to take swimming classes for 2 primary reasons:

  1. Learn how to not drown.
  2. If we (my parents) are ever going to drown, you’re going to save us.*

*Note: I’d like to point out the irony is that both of parents know how to swim themselves. Not at a competitive stage, but enough to survive from drowning.

Oddly enough, I learned how to swim by drowning. Over the years, like many other children around me, on top of swimming, I also played ball in its various sizes and ran. And I learned that swimming and running are of the 2 purest forms of athleticism and exercise out there. There’s very little margin for error, if any. A tenth of a second is the difference between Olympic gold and not even qualifying for the semifinals. Because of that, in swimming, we’re taught to be efficient. We learned to maximize for our distance per stroke (DPS). And I believe in running, it’s distance per stride.

Efficiency. The ability to do more with less.

The market of efficiency

These days, getting from point A to B isn’t as difficult as it used to be. Cars made travelling miles easier. Planes, for hundreds to thousands of miles. Bikes and scooters, for last mile transportation – distances too close to drive, but take twice as long to walk. Outside of transportation, career development, information and skill acquisition have all seen massive developments not only in the last hundred years, but especially in the last 10 years. Online platforms, like Coursera, Masterclass, Google, and Wikipedia, helped us all shave off months, years, even generations of legwork and information acquisition. They made so many things more accessible.

Accessibility

Accessibility is platformitizing and democratizing information. What Yellow Pages did for services. Reddit for knowledge acquisition. Amazon for shopping. Google for information. And Food Network and food media did for cooks. The average person today is more knowledgeable about the culinary process and its accessories than someone two decades back. Laughable now, but 8 years ago, it’s how I learned not to burn frozen pizza. I could go on and on.

But, in the next ten years, accessibility may not be enough. Though there are many populations in this world who still have yet to access the knowledge I can readily find on my laptop, accessibility provides people with the tools, but not the means to use those tools effectively.

Ease

Ease does. Lower the barriers to entry and bundle the entire knowledge acquisition, or otherwise, what I would call onboarding, in an intuitive manner. Like what WordPress did for websites. Instagram for photos. Opendoor for home-buying/selling. TurboTax for, well, tax.

It’s a messy web of information out there. As economist Herbert A. Simon puts it:

“A wealth of information creates a poverty of attention.”

Here’s an easy way to tell which industries and processes lack ease. Find where people have created hacks to solve a problem.

  • Using multiple tools/software to solve a single problem;
  • Using a “temporary” solution to solve a repetitive problem. Like a basin to catch the rainwater that leaks through the roof;
  • A public forum, like Reddit or a Facebook group or multiple similar questions on Quora, where people share their “life hacks”.
  • A How-to YouTube video that has tens/hundreds of thousands, if not millions, of views.

And to know if you hit the nail on the head, you’ve got crazy pull. Product-market fit. PMF. When you don’t even have the luxury of time to worry if you have PMF ’cause your customer success inbox/sales inbox is filled to the brim. Or you’re getting so many new users that you’re figuring out how to upgrade your servers before your servers go blank. For more on PMF, I highly recommend checking out Lenny Rachitsky‘s recent post surveying 25 of the most successful companies on when they realized they had PMF.

In closing

Tools and platforms that make it easier for an individual to go the distance, to be more efficient, carry 2 traits: accessibility and ease. With each stroke, with each action one takes, they can go further. They can do more. With less. Technology, in the incoming years, will further do so.

And as a VC scout, I look for, what I call – distance per action. Or DPA, for short. So, if you’re working on something that will enable people to have higher and greater DPAs, I wanna talk.

Photo by David Bartus on Pexels.com


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#unfiltered #18 Naivety vs Curiosity – Asking Questions, How to Preface ‘Dumb’ Questions, Tactics from People Smarter than Me, The Questions during Founder-Investor Pitch

asking questions, naivete vs curiosity, how to ask questions

Friday last week, I jumped on a phone call with a founder who reached out to me after checking out my blog. In my deep fascination on how she found and learns from her mentors, she shed some light as to why she feels safe to ask stupid questions. The TL;DR of her answer – implicit trust, blended with mutual respect and admiration. That her mentors know that when she does ask a question, it’s out of curiosity and not willing ignorance – or naivety.

But on a wider scope, our conversation got me thinking and reflecting. How can we build psychological safety around questions that may seem dumb at first glace? And sometimes, even unwittingly, may seem foolish to the person answering. The characteristics of which, include:

  • A question whose answer is easily Google-able;
  • A question that the person answering may have heard too many times (and subsequently, may feel fatigue from answering again);
  • And, a question whose answer may seem like common sense. But common sense, arguably, is subjective. Take, for example, selling losses and holding gains in the stock market may be common sense to practiced public market investors, but may feel counter-intuitive to the average amateur trader.

We’re Human

But, if you’re like me, every so often, I ask a ‘dumb’ question. Or I feel the urge to ask it ’cause either I think the person I’m asking would provide a perspective I can’t find elsewhere or, simply, purely by accident. The latter of which happens, though I try not to, when I’m droning through a conversation. When my mind regresses to “How are you doing?” or the like.

To fix the latter, the simple solution is to be more cognizant and aware during conversations. For the former, I play with contextualization and exaggeration. Now, I should note that this isn’t a foolproof strategy and neither is it guaranteed to not make you look like a fool. You may still seem like one. But hopefully, if you’re still dying to know (and for some reason, you haven’t done your homework), you’re more likely to get an answer.

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The Different Types of Risk a VC Evaluates

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Founders take on many different types of risk when creating a business. Subsequently, investors constantly put founders and their businesses under scrutiny using risk as a benchmark. In broad terms, in my experience, they largely fall under two categories: execution risk and market risk.

Where I first introduced the dichotomy of market and execution risk in the frame of idea-market fit.

Some Background

Contrary to popular belief, VCs are some of the most risk-averse people that I know. As an investor, the two goals are to:

  1. Take calculated bets, via an investment thesis and diligence;
  2. And de-risk each investment as much as possible.

From private equity to growth equity to venture capital, more and more investors are writing ‘discovery checks.’ Typically, funds write checks that are 2-4% of their fund size. For example, $100M fund usually write $2-4M initial checks. Yet, more and more investors are writing increasingly smaller check sizes (0.1-0.5% fund size). In the $100M fund example, that’s $100-500K checks. This result is a function of FOMO (fear of missing out), as well as a proving grounds for founders before the fund’s partners put in their core dollar. Admittedly, this upstream effect does lead to:

  • Less diligence before checks are written (closing within 48-72 hours on the extreme end, and inevitably, more buyer’s remorse);
  • Less bandwidth allotted per portfolio startup (even less for startups given discovery checks);
  • And, inflated rounds (and therefore, inflated startup valuations).

The Risks

The risks for a startup investor are fairly obvious, and so are the rewards. Effectively, an early-stage investor is betting millions of dollars on a stranger’s claim. But not all risks are the same.

In the eyes of a VC, an execution risk is categorically less risky than a market risk. Furthermore, even within the category of execution, a product risk is usually less risky than a team risk.

Execution Risk

Why are more and more early-stage investors defaulting to enterprise over consumer startups?

Two reasons.

  1. Enterprise startups often run on a SaaS (software-as-service) subscription business model. There will always be recurring revenue, assuming the product makes sense. For an investor, that’s foreseeable ROI.
  2. It’s an execution risk, not a market risk. Often times, an enterprise tech startup is the culmination of existing frustrations prevalent in the respective industry already. And therefore, have reasonably stable distribution channels and go-to-market strategies.

Eric Feng, formerly at Kleiner Perkins, now at Facebook, used Y Combinator’s data set at the end of last year to illustrate the consumer-to-enterprise shift.

Using discovery checks, and playing pre-core business, VCs can evaluate team risk. Between the discovery check and their usual ‘core checks’, VCs can also test their initial hypotheses on their founders.

As a startup grows, especially after realizing product-market fit, market risk becomes more of a product risk. Best illustrated by market share, product risk is when a product fails to meet the expectations of their (target) customers. It can be evaluated via a permutation of key metrics, like unit economics, NPS, retention and churn rate. There is an element of technological risk early on in the startup lifecycle for deep tech ventures, but admittedly, it’s not a vertical I have my finger on the pulse for and can share insight into.

Given that VCs are either ex-operators or have seen a breadth of startup life-cycles, VCs can best use their experience to mitigate a startup’s execution risk.

Market Risk

Market risk requires a prediction of human/market behavior. And unfortunately, the vast majority of investors can predict about the constant evolution of human behavior as well as a founder can. What does that mean? Founders and VCs are walking hand-in-hand to gain market experience. It, quite excitingly, is an innovator’s Rubrik’s cube to solve.

Market risk is frequently attributed to consumer tech products. In an increasing proliferation of consumer startups, consumers have become more expensive to acquire and harder to retain. Distribution channels change frequently and are determined by political, economic, technological, and social trends.

In Closing

Every VC specializes in tackling a certain kind of risk. But founders must quickly adapt, prioritize, and tackle all the above risks at some point in the founding journey. As Reid Hoffman, co-founder of LinkedIn, famously said:

“An entrepreneur is someone who will jump off a cliff and assemble an airplane on the way down.”

Happy hunting!