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…
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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