As a venture scout and as someone who loves helping pre-seed/seed startups before they get to the A, I get asked this one question more often than I expect. “David, do you think this is a good idea?” Most of the time, admittedly, I don’t know. Why? I’m not the core user. I wouldn’t count myself as an early adopter who could become a power user, outside of pure curiosity. I’m not their customer. To quote Michael Seibel of Y Combinator,
… “customers are the gatekeepers of the startups world.” Then comes the question, if customers are the gatekeepers to the venture world, how do you know if you’re on to something if you’re any one of the below:
Pre-product,
Pre-traction,
And/or pre-revenue?
This blog post isn’t designed to be the crystal ball to all your problems. I have to disappoint. I’m a Muggle without the power of Divination. But instead, let me share 3 mental models that might help a budding founder find idea-market fit. Let’s call it a tracker’s kit that may increase your chances at finding a unicorn.
There’s a saying in venture that: “A-players hire A-players; B-players hire C-players.” Your ability to grow a business is often closely correlated with your ability to attract and acquire talent. But what does it mean to attract and hire world-class talent? Especially for functions you, as a founder, yourself may not be an expert in.
“A-players hire A-players; B-players hire C-players.”
How does a first-time founder how to vet a seasoned sales executive? Or on the flip side, how does a non-technical founder learn to differentiate a good AI engineer from a great AI engineer?
While even the best founders, leaders, and managers make hiring mistakes, hopefully this post can act as a reference point as to what to look for. And while I have yet to master the craft, I’ll borrow 5 lessons from some of the best that has served as a guiding principle for me and for some of the founders I’ve worked with.
5 Lessons from 4 of the Greatest
Hire passion; train skill.
Desire/obsession > passion.
And, the ephemeral nature of passion.
Hire VPs who can hire.
Attract and hire intentionally.
On building trust.
On scaling yourself.
To hire your best complements, ask people in your network 2 questions.
One of my favorite thought exercises to do when I meet with founders who have reached the A- and B-stages (or beyond) is:
“What will his/her company look like if he/she is no longer there?”
The Preface
While the question looks like one that’s designed to replace the founder(s), my intention is everything but that. Rather, I ask myself that because I want to put perspective as to how the founder(s) have empowered their team to do more than they could independently. Where the collective whole is greater than the sum of its parts. Have the founders built something that is greater than themselves? And is each team member self-motivated to pursue the mission and vision?
“Well, Mr. President,” the janitor responded, “I’m helping put a man on the moon.”
From the astronaut who was to go into space to the janitor cleaning the halls of NASAs space center, each and every one had the same fulfilling purpose that they were doing something greater than themselves.
And if the CEO is able to do that, their potential to inspire even more and build a greater company is in sight. Can he/she scale him/herself? And in doing so, scale the company past product-market fit (PMF)?
For the purpose of this post, I’ll take scale from a culture, hiring, operating, and product perspective, though there are much more than just the above when it comes to scale. Answering the questions, as a founder:
How do you expand your audience?
How do you build a team to do so?
And, how do you scale yourself?
And to do so, I’ll borrow the insights of 10 people who have more miles on their odometer than I do.
While many of these lessons are applicable even in the later stages of growth, I want to preface that these insights are largely for founders just starting to scale. When you’ve just gone from zero to one, and are now beginning to look towards infinity.
The TL;DR
Build a (controversial) shocking culture.
Hire intentionally.
Retaining talent requires trust.
Build and follow an operating philosophy.
Create, hold, and share excitement.
Align calendars.
Upgrade adjacent users as your next beachhead.
Capture adoption by changing only 1 variable per user segment.
My friend, Rouhin, sent me this post by a rather angry fellow, which he and I both had a good chuckle out of, yesterday about how VC is a scam. In one part about startup growth, the author writes that VCs only care about businesses that double its customer base.
The author’s argument isn’t completely unfounded. And it’s something that’s given the industry as a whole a bad rap. True, growth and scalability are vital to us. That’s how funds make back their capital and then some. With the changing landscape making it harder to discern the signal from the noise, VCs are looking for moonshots. The earlier the stage, the more this ROI multiple matters. Ranging from 100x in capital allocation before the seed stage to 10x when growth capital is involved. But in a more nuanced manner, investors care not just about “doubling”, unilaterally, but the last time a business doubles. We care less if a lemonade stand doubles from 2 to 4 customers, than when a lemonade corporation doubles from 200 to 400 million customers, or rather bottles, for a more accurate metric.
After early startup growth
Of course, in a utopia, no businesses ever plateau in its logistical curve – best described as it nears its total TAM. That’s why businesses past Series B, into growth, start looking into adjacent markets to capitalize on. For example, Reid Hoffman‘s, co-founder of LinkedIn, now investor at Greylock, rule of thumb for breaking down your budget (arguably effort as well) once you reach that stage is:
70% core business
20% business expansion – adjacent markets that your team can tackle with your existing resources/product
10% venture bets – product offerings/features that will benefit your core product in the longer run
And, the goal is to convert venture bets into expansionary projects, and expansionary projects to your core business.
Simply put, as VCs, we care about growth rates after a certain threshold. That threshold varies per firm, per individual. If it’s a consumer app, it could be 1,000 users or 10,000 users. And only after that threshold, do we entertain the Rule of 40, or the minimum growth of 30% MoM. Realistically, most scalable businesses won’t be growing astronomically from D1. (Though if you are, we need to talk!) The J-curve, or hockey stick curve, is what we find most of the time.
The Metrics
In a broader scope, at the early stage, before the critical point, I’m less concerned with you doubling your user base or revenue, but the time it takes for your business to double every single time.
From a strictly acquisition perspective, take day 1 (D1) of your launch as the principal number. Run on a logarithmic base 2 regression, how much time does it take for your users (or revenue) to double? Is your growth factor nearing 1.0, meaning your growth is slowing and your adoption curve is potentially going to plateau?
Growth Factor = Δ(# of new users today)/Δ(# of new users yesterday) > 1.0
Why 1.0? It suggests that you could be nearing an inflection point when your exponential graph start flattening out. Or if you’re already at 1.0 or less, you’re not growing as “exponentially” as you would like, unless you change strategies. Similarly, investors are looking for:
ΔGrowth Factor > 0
Feel to replace the base log function with any other base, as the fundamentals still hold. For example, base 10, if you’re calculating how long it takes you to 10x. Under the same assumptions, you can track your early interest pre-traction, via a waitlist signup, similarly.
While in this new pandemic climate (which we can admittedly also evaluate from a growth standpoint), juggernauts are forced to take a step back and reevaluate their options, including their workforce, providing new opportunities and fresh eyes on the gig economy, future of work, delivery services, telehealth, and more. Stay safe, and stay cracking!
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Over the past decade, stretching its roots to the dot-com boom, there have been more dialogue and literature around entrepreneurship. In a sense, founding a business is easier than it’s ever been. But like all things in life, there’s a bit more nuance to it. So, what’s the state of startups right now?
Lower Barriers to Entry
A number of factors have promoted such a trend:
There are an increasing number of resources online and offline. Online courses and ed-tech platforms. Fellowships and acceleration/incubation programs. Investor office hours and founder talks. YouTube videos, online newsletters, and podcasts.
The low-code/no-code movement is also helping bridge that knowledge gap for the average person. Moreover, making it easier for non-experts to be experts.
The gig economy have created a fascinating space for solopreneurship to be more accessible to more geographies.
Demand (by consumers and investors) fuels supply of startups, through knowledge and resource sharing. Likewise, the supply of startups, especially in nascent markets, fuels demand in new verticals. So, the ecosystem becomes self-perpetuating on a positive feedback loop. As Jim Barksdale, former Netscape CEO, once said:
“There are only two ways I know of to make money – bundling and unbundling.”
Bundling
Unbundling
Market Maturity
Market Nascency
Horizontalization
Verticalization
Breadth
Depth
Execution Risk Bias
Market/Tech Risk Bias
Right now, we’re at a stage of startup market nascency, unbundling the knowledge gap between the great and the average founder. This might seem counter-intuitive. After all, there’s so much discourse on the subject. There’s a good chance that you know someone who is or have thought about starting a business. But, I don’t believe we’re even close to a global maximum in entrepreneurship. Why?
Valuations are still on the rise. Six years back, $250K was enough runway for our business to last until product-market fit. Now, a typical seed round ranges from $500K-$2M. A decade ago, $500M was enough to IPO with; now it only warrants a late-stage funding round. By capitalistic economic theory, when a market reaches saturation, aka perfect competition, profit margins regress to zero. Not only are there still profits to be made, but more people are jumping into the investing side of the business.
Yes, increasing valuations are also a function of FOMO (fear of missing out), discovery checks (<0.5% of VC fund size), super duper low interest rates (causing massive sums of capital to surge in chase yields), and non-traditional venture investors entering as players in the game (PE, hedge funds, other accredited investors, (equity) crowdfunding platforms). It would be one thing if they came and left as a result of a (near) zero sum game. But they’re here to stay. Here’s a mini case study. Even after the 2018 drop in Bitcoin, venture investors are still bullish on its potential. In fact, there are now more and more specialized funds to invest in cryptocurrency and blockchain technology. Last year, a16z, one of the largest and trendsetting VC players, switched from a VC to an RIA (registered investment advisor), to broaden its scope into crypto/blockchain.
Great founders are scarce
“The only uncrowded market is great. There’s always a fucking market for great.”
– Tim Ferriss, podcaster, author, but also notably, an investor and advisor for companies, like Facebook, Uber, Automattic and more
Even if founders now have the tools to do so, it doesn’t mean they’ll hit their ambitious milestones. For VCs, it only gets harder to discern the signal from the noise. Fundamentally, there’s a significant knowledge delta – a permutation of misinformation and resource misallocation – in the market between founders and investors, and between average founders and great founders.
The Culinary Analogy
Here’s an analogy. 30 years prior, food media was still nascent. Food Network had yet to be founded in 1993. The average cook resorted to grandma’s recipe (and maybe also Cory’s from across the street). There was quite a bit of variability into the quality of most home-cooked dishes. And most professional chefs were characteristically male. Fast forward to now, food media has become more prevalent in society. I can jump on to Food Network or YouTube any time to learn recipes and cooking tips. Recipes are easily searchable online. Pro chefs, like Gordon Ramsay, Thomas Keller, and Alice Waters, teach full courses on Masterclass, covering every range of the culinary arts.
Has it made the average cook more knowledgeable? Yes. I have friends who are talking about how long a meat should sous vide for before searing or the ratio of egg whites to egg yolks in pasta. Not gonna lie; I love it! I’ll probably end up posting a post soon on what I learned from culinary mentors, friends, and myself soon.
Is there still a disparity between the average cook and a world-class chef? Hell ya! Realistically I won’t ever amount to Wolfgang Puck or Grant Achatz, but I do know that I shouldn’t deep fry with extra virgin olive oil (EVOO) ’cause of its low smoke point.
Great businesses are scarcer
The same is true for entrepreneurship. There are definitely more startups out there, but there hasn’t been a significant shift in the number of great startups. And the increase in business tools has arguably increased the difficulty to find business/product defensibility. It’s leveled the playing field and, simultaneously, raised the bar. So yes, it’s easier to start a business; it’s much harder to retain and scale a business.
It’s no longer enough to have an open/closed beta with just an MVP. What startups need now is an MLP (minimum lovable product). Let’s take the consumer app market as an example.
The Consumer App Conundrum
Acquiring consumers has gotten comparatively easier. Paid growth, virality, and SEO tactics are scalable with capital. More and more of the population have been conditioned to notice and try new products and trends, partly as a function of the influencer economy. But retaining them is a different story.
So, consumers have become:
More expensive to acquire than ever before. Not only are customer acquisition costs (CAC) increasing, with smaller lifetime values (LTV), but your biggest competitors are often not directly in your sector. Netflix and YouTube has created a culture of binge-watching that previously never existed. And since every person has a finite 24 hours in a day, your startup growth is directly cutting into another business’s market share on a consumer’s time.
And, harder to retain. It’s great that there’s a wide range of consumer apps out there right now. The App Store and Play Store are more populated than they’ve ever been. But churn has also higher now than I’ve seen before. Although adoption curves have been climbing, reactivation and engagement curves often fall short of expectations, while inactive curves in most startups climb sooner than anticipated. Many early stage ventures I see have decent total account numbers (10-30K, depending on the stage), but a mere 10-15% DAU/MAU (assuming this is a core metric). In fact, many consumers don’t even use the app they downloaded on Day 2.
Luckily, this whole startup battlefield works in favor of consumers. More competition, better features, better prices. 🙂
So… what happens now?
It comes down to two main questions for early-stage founders:
Do you have a predictable/sensible plan to your next milestone? To scalability?
Are you optimizing for adoption, as well as retention and engagement?
With so many tools for acquisition hacks, growth is relatively easy to capture. Retention and engagement aren’t. And in engagement, outside of purely measuring for frequency (i.e. DAU/MAU), are you also measuring on time spent with each product interaction?
How are you going to capture network effects? What’s sticky?
Viral loops occur when there’s already a baseline of engagement. So how do you meaningfully optimize for engagement?
From a bottom-up approach (rather than top-down by taking percentages of the larger market), how are you going to convert your customers?
How do you measure product-market fit?
What meaningful metric are you measuring/optimizing?
Why is it important?
What do you know (that makes money) that everyone else is either overlooking or severely underestimating?
What are you optimizing for that others’ (especially your biggest competitors) cannot?
Every business optimizes for certain metrics. That have a set budget used to optimize for those metrics. And because of that, they are unable to prioritize optimizing others. So, can you measure it better in a way that’ll hold off competition until you reach network effects/virality?
Building a scalable business is definitely harder. And to become the 10 startups a year that really matter is even more so. By the numbers, less likely than lightning striking you. In my opinion, that just makes trying to find your secret sauce all the more exciting!
If you think you got it or are close to getting it, I’d love to chat!
