Insight Arbitrage

Most investors try to “slot” startups in their heads, whereas extraordinary venture outcomes lie in the “slot violations”.

A few weeks back, I was helping a portfolio founder put together the story and deck for raising the next round. This company is one of the true category-creators I have seen in my career and has now reached a PMF tipping point that will lead to explosive growth going forward. Customers and channel partners are literally pulling the product out of the company’s hands, and all metrics are going up and to the right.

Despite this, the founder was sharing how difficult it still is for him to explain the business, the market opportunity, and how this is an extremely differentiated play to investors. Having seen this startup’s thesis play out as an existing investor, my conviction on it is 200% but despite powerful operating signals, it’s still non-trivial to put together a narrative that investors “get” immediately.

This isn’t a new pattern. I have seen this repeatedly play out with truly groundbreaking companies, simply because most investors prima facie, try to “slot” the company in their heads within the first few minutes of the 1st meeting. These slots are pre-existing buckets created by years of pattern-matching, and not surprisingly, 90% of startups can easily fit into one or more of these slots – eg. big company exec stepping out to start an enterprise company, young engineers hacking a dev tool, repeat founder building in the same market, generalist founders executing really fast in SaaS etc.

The issue is this – history tells us that extraordinary venture outcomes are created in the narrative violations (or what I now call “slot violations”). These are companies that are hard to understand in the present moment, being built by founders who are quirky and/or with non-obvious backgrounds, or resulting from messy pivots. Well-known examples include:

As a venture investor, I think a lot about what mental models to use in order to spot these slot violations. Thinking through the earlier discussion with the portfolio founder, it was clear that even though investors might struggle to slot the company at this moment, the market was clearly resonating with the product. In a way, the early adopters in the market had been educated by the founder and therefore, were already bought into the “insight”, whereas the existing mental models of investors were lagging in their appreciation of this insight.

I call this “Insight Arbitrage” – the delta between the market’s and investors’ understanding of a startup’s unique insight. At the pre-seed stage, this market understanding will be mostly qualitative and anecdotal. At the seed stage, this understanding will still be likely on a very small base of users.

Because a majority of investors find it hard to build conviction in the above two scenarios, an Insight Arbitrage continues to perpetually exist in the venture world. And I believe that this is where an opportunity lies for investors like myself to generate alpha, provided we show the courage to trust this arbitrage and put our money behind it.

Audio Overview of this post (via NotebookLM):

The TAM Fallacy At Seed Stage

The imagination of the best founders will kill any TAM analysis. Rather than over-fixating on market size, I suggest a couple of other elements that are more useful for evaluation at the seed stage.

As a freshly minted VC in 2011, one of the first things I was taught to look for while evaluating new deals was a large total addressable market (TAM). It was pretty much a necessary, though not sufficient, condition for generating outlier venture returns.

After many years of venture investing now, I would agree that startups need to go after large markets to be VC-fundable. However, I have also seen a common VC fallacy, especially at the seed stage, where a startup gets prematurely filtered out simply because the immediately visible market doesn’t seem large enough.

In my experience, the best founders either create new markets or expand to adjacent markets over time. So the TAM keeps growing. I remember when Peyush Bansal of Lenskart (the Warby Parker of India) was pitching for Series A, investors thought that the Indian eyewear market wasn’t large enough. In hindsight, everyone underestimated 3 things: (1) the overall market would grow at a much faster rate than expected, (2) in addition to online, Lenskart would also go offline and (3) it would expand the market by launching private labels, as well as increase its gross margins by in-house manufacturing. Lenskart’s last valuation: $4.5Bn!

Same with FirstCry, where most investors viewed the TAM as mostly Diapers because that was the majority of its GMV in the early stages. FirstCry is IPO-bound, likely at $3-4Bn valuation!

In the enterprise space, I remember Amagi’s initial flagship offering was the ability to insert vernacular TV ads in national programming. Investors pretty much checked out when they sized up this niche. What they underestimated was Amagi’s ability to go global, expand its product offering to an end-to-end cloud platform, and serve the rising OTT market. Amagi’s last valuation: $1.4Bn!

Airbnb was a similar case. Paul Graham has shared the now-legendary email thread where Fred Wilson of USV felt its addressable market wasn’t big enough.

Source: SUBJECT: AIRBNB

The entire thread is super-insightful, wherein PG is repeatedly trying to explain to Fred that the eventual market will include hotel accommodations and therefore, will be large enough.

Source: SUBJECT: AIRBNB

In fact, one of the strategies that is highly recommended for seed-stage startups is to identify a wedge in the market, usually a very sharp pain point or job-to-be-done, and focus on solving that in a differentiated way. By definition, these early wedges often create an illusion that the addressable market is limited to just that.

This is where the role of imagination comes in. Seed investors should spend adequate time with the founders to understand the eventual end-state of the world they are imagining. If this end-state is large enough and ambitious enough, usually that’s a leading signal that the company will continue to expand its TAM.

Turning the tables around, I also believe that founders should spend time crafting a strong narrative around this end-state and paint a picture that investors find easier to buy into. If this can include even a broad outline of what the path from the present wedge to the eventual end-state potentially looks like, even better.

I hesitate to call this picture a “vision” as this word is just thrown around a lot and frankly, is now considered faff. Instead, trying to visualize what the world will look like with your product in it, is much more tangible and real.

So, if not TAM, what aspects should seed investors evaluate instead? I recommend the following two:

1/ Founder-market fit – this is critical for the startup to go from the wedge to the end-state, and should be in place even at the earliest stages of company building.

2/ Competitive differentiation/ right to win – as I mentioned in my post ‘How To Differentiate As An AI Applications Startup?‘, for a startup to be viable, it’s not enough to just build cool tech. It has to be able to create significant competitive differentiation, especially against incumbent solutions. I call it “non-incrementality”.

A strong hypothesis around competitive differentiation, and eventual right to win, should exist in the founders’ strategy from Day 0. The edge will get gradually built out over time, but both the intent to create it as well as the building blocks for it need to exist from the earliest stages.

Looking back on the many startups I have seen or invested in across geographies, one thing I have learned is that if a startup remains sub-scale, in most cases it tends to be due to founder motivation, quality of execution, and team/culture issues, rather than the available market being small.

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