Tag: entrepreneur

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Part-time vs. Full-time Founders

Over the weekend, my friend and I were chatting about the next steps in her career. After spending quite some time ironing out a startup idea she wants to pursue, she was at a crossroads. Should she leave her 9-to-5 and pursue this idea full-time, or should she continue to test out her idea and keep her full-time job?

Due to my involvement with the 1517 Fund and since some of my good friends happen to be college dropouts, I spend quite a bit of time with folks who have or are thinking about pursuing their startup business after dropping out. This is no less true with 9-to-5ers. And some who are still the sole breadwinner of their family. Don’t get me wrong. I love the attention, social passion, literature and discourse around entrepreneurship. But I think many people are jumping the gun.

Ten years back, admittedly off of the 2008 crisis, the conversations were entirely different. When I ask my younger cousins or my friends’ younger siblings, “what do you want to be when you grow up?” They say things like “run my own business”, “be a YouTuber”, and most surprisingly, “be a freelancer”. From 12-yr olds, it’s impressive that freelancing is already part of their vocabulary. It’s an astounding heuristic for how far the gig economy has come.

Moreover, media has also built this narrative championing the college dropout. Steve Jobs and Apple. Bill Gates and Microsoft. And, Mark Zuckerberg and Facebook. There’s nothing wrong in leaving your former occupation or education to start something new. But not before you have a solid proof of concept, or at least external validation beyond your friends, family and co-workers. After all, Mark Zuckerberg left Harvard not to start Facebook, but because Facebook was already taking off.

Honing the Idea

The inherent nature of entrepreneurship is risk. As an entrepreneur (and as an investor), the goal should always be to de-risk your venture – to make calculated bets. To cap your downside.

Marc Benioff started his idea of a platform-as-a-service in March 1999. Before Marc Benioff took his idea of SaaS full-time, he spent time at Oracle with his mentor, Larry Ellison, honing this thesis and business idea. When he was finally ready 4 months later, he left on good terms. Those terms were put to the test, when in Salesforce’s early days, VCs were shy to put in their dollar on the cap table. But, his relationship he had built with Larry ended up giving him the runway he needed to build his team and product.

Something that’s, unfortunately, rarely talked about in Silicon Valley and the world of startups is patience. We’ve gotten used to hearing “move fast and break things”. Many founders are taught to give themselves a 10-20% margin of error. What started off as a valuable heuristic grew into an increase in quantity of experiments, but decrease in quality of experiments. Founders were throwing a barrage of punches, where many carried no weight behind them. No time spent contemplating why the punch didn’t hit its mark. And subsequently, founders building on the frontlines of revolution fight to be the first to market, but not first to product-market fit. Founders fight hell or high water to launch their MVP, but not an MLP, as Jiaona Zhang of WeWork puts it.

In the words of the one who pioneered the idea of platform-as-a-service,

The more transformative your idea is, the more patience you’ll need to make it happen.”

– Marc Benioff

As one who sits on the other side of the table, our job is to help founders ask more precise questions – and often, the tough questions. We act more as godmothers and godfathers of you and your babies, but we can’t do the job for you.

The “Tough” Questions

To early founders, aspiring founders, and my friends at the crossroads, here is my playbook:

  • What partnerships can/will make it easier for you to go-to-market? To product-market fit? To scalability?
  • What questions can you ask to better test product feasibility?
  • How can you partner with people to ask (and test) better questions?
  • What is your calculus that’ll help you systematically test your assumptions?
  • Do you have enough cash flow to sustain you (and your dependents) for the next 2 years to test these assumptions?

Simultaneously, it’s also to important to consider the flip side:

  • What partnerships (or lack thereof) make your bets more risky?
  • How can you limit them? Eliminate them?

And in sum, these questions will help you map out:

At this point in your career, does part-time or full-time help you better optimize yourself for reaching my next milestone?

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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.

Finding Product-Market Fit and “Idea-Market Fit”
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!

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A Reason to Stay

Photo by Hayden Scott on Unsplash

In the first startup I joined, we messed up our initial business model by not providing a reason for small- and medium-sized business (SMB) owners to stay. We created a marketplace between SMBs to transact with each other. But, after the first one to three transactions, they had no need for our platform. The scary thing about marketplaces isn’t that you’re connecting suppliers to their demand network, but not providing any bonuses after onboarding – a reason to stay.

Some of the stickiest companies are marketplaces because they provide that reason to stay. More often than not, providing a lovable product so convenient, it’s much easier to use the marketplace platform than to do the transaction themselves, and an easy, passive way to be discovered by future clients/customers that would be much more difficult on their own.

Why Multiplayer Video Games Work

In his book The Messy Middle, Scott Belsky, Chief Product Officer at Adobe and founder of Behance (acq. by Adobe), a discovery platform where creatives can showcase their portfolios and engage with others’, shares that when crafting the ‘first mile’ experience, you need to optimize for three questions:

  1. Why are your customers here?
  2. What can they accomplish?
  3. What can they do next?

Arguably, I believe that founders should always have these three questions hovering above their product strategies, beyond the ‘first mile’, only embedded more implicitly. Video games do an amazing job in this regard, especially massively multiplayer online role-playing games, or MMORPGs for short.

Why play the game? Find escape and sanctuary to be someone players want to be but can’t in the confines of reality.

What can they accomplish? Achieve that endgame that players see in the trailers and in the tutorial (the onboarding for an MMORPG user). The endgame is self-defined as well. Of course, the game optimizes for the power creep meta endgame. Yet, players can always opt for a ‘destiny’, a story, they find compelling, like becoming a fashionista, a wealthy merchant, a mentor, a content creator, and with faster computing systems and more robust infrastructure, a contributor to the game itself, through user-generated content (UGC). The Steam Workshop is an excellent example of UGC.

What can they do next? Level up their character and gear. Tackle the next quest – main or side – towards something larger than themselves. There’s always a defined goal, as well as actionable steps and additional incentives laid out for the players. This creates high retention value – a reason to stay.

The same is true for many other types of genres of multiplayer games – multiplayer online battle arenas (MOBA), battle royale (BR), first-person shooters (FPS), and more. It’s just the narrative of the endgame may change a little towards leaderboard domination. E-sports, content creation, and live streaming then offers a new tier of recognition and endgame for many veteran players.

Back to Marketplaces

I’ve always argued that as a founder, you want to focus on unscalable wins before thinking of scale pre-product-market fit. Focus on the individual experiences. As Li Jin, partner at the reputable a16z, wrote in a post about the passion economy, “[great founders] view individuality as a feature, not a bug.” The best marketplaces, like Uber, Airbnb, and Medium, started off focusing on the unscalable wins for a small individual subset of their potential users. These products offered their early users a reason to stay:

  • (Additional) Incentives and tools, to make their stay worthwhile;
  • Discovery platform to help them grow their brand and customer base, actively and passively;
  • And, subsequent community and network effects.

Early adopters jump on a new product, as fast as they jump off one. They’re finicky. They’re window shoppers, but at the same time, the most willing and likely to try out your product. Luckily and unluckily, the San Francisco Bay Area has no shortage of these folks, and being a tech startup, with its initial user base here, often inflates your early metrics. In short, the goal of your product is to make these technological butterflies fall madly in love with you and your product. That’s the tough part, but it’ll also mean you’ve found product-market fit (PMF).

Where do we find ‘love’?

Instead of a minimum viable product, or MVP, Jiaona Zhang, Senior Director of Product at WeWork, in her First Round Review piece, chases the “pixie dust”, or what I like to call the secret sauce – a truly unique, money-making insight. This magic is found through diligent iteration on consumer feedback, especially in the beta stages of a product. During the beta, users have the serendipity to discover “that magical moment in the user journey where the user realizes that this product is different from anything else they’ve ever experienced”. Her framework, designed from the perspective of the consumer:

Wouldn’t it be cool if users could [a process/action that would 10X their lives]?

What We Learned

The same was true for us at Localwise. Of course, we were motivated by poor retention metrics. But, we learned what businesses truly needed by asking each of them in person, as well as flyering (and getting rejected, or worse, ignored) to college students and to shops. So, still deeply in love with the community we built, we found that need when connecting local talent to SMBs. For businesses with high churn rate with temporary employees and a need to build a brand, that was their reason to stay.

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The Pain of Entrepreneurship

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I was chatting with an founder-investor last Friday about the complexities of the founder-idea and the investor-founder discovery process. Eventually, our conversation arrived at the “idea maze“, coined by Balaji Srinivasan – which describes how one’s past life experiences position her/him best to tackle a new problem. And it bled into how great investors, or people who have a track record for backing entrepreneurs who change the world, differentiate good founders from great founders. And I turned the question many of my friends, who are interested in angel and early-stage investing, have asked me to her:

How can one, without necessarily having gone through the entire entrepreneurial experience, better understand and empathize with the founder journey?

It’s a question I have tried to resolve myself, since I’ve only experienced the two extremes of building a startup – at its conception till product-market fit and right before an acquisition – and at two different ventures. I’ve heard many answers over the years:

  • Read books or listen to podcasts about startups,
  • Chat with founders,
  • Shadow them for a month or more,
  • Advise them at their early stages,
  • Join an angel group to hold office hours for them,
  • And, start your own business…

…. each from at least ten different sources. But she said something that I have never thought of before. Live with an entrepreneur.

A simple answer, yes. But a spectacularly profound one, nonetheless. I’ve had the fortune of living with an aspiring e-sports athlete, an aspiring Korean pop star, and a property manager. In all three cases, I learned, even passively, about the lifestyle of each – their wins, their stressors, even how meticulous they think about their apparel for the day, but most importantly, how hard they each worked to realize their dream. It’s not something any interview, book, podcast, blog post, and even shadowing experience can teach you.

I’ve been taught since I was a kid in elementary school to work smart, not hard, or its better cousin: work smart and hard. But in both mantras, working hard is always overshadowed by working smart. In fact, over time, I learned it wasn’t just me. Media portrays society’s hardest workers in biased, unflattering light. I remember watching a bunch of movies and TV shows as a kid where the janitor or the bus driver, playing a side character, is either a 300-pound man or an old spindly soul with hollowed eyes. Mike Rowe, host of one of my favorite childhood TV shows, Dirty Jobs, is definitely more illustrious on this stigma than I am, which he explains in his 2009 TED talk. In Silicon Valley, the occupation of being an entrepreneur isn’t too different. Yes, there’s the supposed glamour of being the next Mark Zuckerberg or Steve Jobs. But whether it’s Shikhar Ghosh‘s study that 75% of startups fail, or the 90% or 95% many others reference, the truth is the numbers work against you. Moreover, unless you’re “venture-backed”, when people see “entrepreneur” on your resume, many think “unemployed”.

Yet, I’ve realized people with the entrepreneurial spirit are some of the hardest working individuals I’ve ever met, given that there are still many who seek the title over the commitment – what I’ve come to call “wantrapreneurs.” None of my apartment-mates ever called themselves an entrepreneur or a founder, but in every sense, each of them was and is the definition of a hard worker, a hustler, and an entrepreneur. They were scrappy. They were ambitious. Or like I mentioned in my post last week, they were obsessed. They’ve navigated their own idea mazes to set themselves up for success. For example, one of my suitemates saw the value of stacking chairs every week during work study and turned it into efficient inventory management and an opportunity to get in front of the music director without an official audition. Many of the entrepreneurs around me I respect the most never had the B-school education and weren’t classically trained in the Porter’s Five Forces or the SWOT analysis. A few even dropped out of school, but they all have the capacity to work hard, then synthesize the data around them. The commitment to work hard prefaces the facility to find a shortcut. One founder, to keep his business afloat, biked up and down the hills of San Francisco delivering Uber Eats, since he couldn’t afford a car and its insurance plan. Another went to his dream client’s headquarters every day at 9AM for two months straight to secure a meeting, and subsequently, a contract. A third flew back to meet with clients that were about to bail on his startup, despite still not having recovered from four fractures in his vertebrae, leaving him paralyzed below the chest.

I’m not saying my apartment-mates or the founders aren’t smart. In fact, they’re some of the smartest folks I know, but it’s their constant willingness to get their hands dirty that has my utmost respect. Though I’ve lived with my apartment-mates, I’ve never lived with any founders, but I can only imagine the depth of understanding and empathy one would have by being in such close proximity. And in doing so, how one can appreciate the founder journey beyond the facts, and experience the emotional pain points as well.

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