Startups

Does your VC have an investment thesis or a hypothesis?

Comment

High angle rear view of young man walking towards white maze pattern over blue background
Image Credits: Klaus Vedfelt (opens in a new window) / Getty Images

David Teten

Contributor

David Teten is founder of Versatile VC and writes periodically at teten.com and @dteten.

More posts from David Teten

Venture capitalists love to talk investment theses: on Twitter, Medium, Clubhouse, at conferences. And yet, when you take a closer look, theses are often meaningless and/or misleading.

OpenVC is a new, open-source initiative to collect and analyze all publicly available VC theses to help founders more efficiently find the right investors — and vice-versa. For the first time, we are sharing here our initial conclusions. We hope you’ll upload your own thesis to benchmark yourself. We’ve identified six common patterns of how VCs articulate their theses and some best practices in doing so.

Our analysis is based on two complementary datasets:

  • 125 theses so far submitted by investors into the OpenVC database.
  • 36 theses pulled directly from U.S. VC websites by David Teten and Sam Sabin, co-founder of Hireblue.

Our four primary conclusions:

  1. Public theses are often inconsistent with how firms actually deploy capital.
  2. VC theses are often so vague that they’re meaningless.
  3. We found seven categories of VC theses, plus an eighth: the non-thesis.
  4. Investment theses are just hypotheses; the portfolio shows how accurate the hypothesis was.

For the sake of simplicity, we will consider “investment thesis” and “investment criteria” as equivalent terms moving forward, although we argue that the thesis leads to the investment criteria. We summarize how they interrelate in the table below.

1. Public theses are often inconsistent with how firms actually deploy capital

A typical VC thesis: “We invest in tech startups in Europe at an early stage.” However, our experience shows that in many cases “Europe” means a handful of countries, for instance, France, U.K. and Germany; and “tech” means B2B SaaS/fintech or consumer apps.

Thirty-four VC firms in OpenVC call themselves “early stage.” Yet 30% of those don’t actually invest in pre-revenue startups. The phrase is quite ambiguous; we suggest quantifying check size so that your investment preference is clearer.

Almost every VC says that they invest in the “best” founders. However, according to PitchBook Data, since the beginning of 2016, companies with women founders have received only 4.4% of venture capital deals. Those companies have garnered only about 2% of all capital invested. This is despite the fact that the data show you’re better off investing in women.

This lack of transparency results in confused founders who chase the wrong investors. In turn, investors are overwhelmed with poorly qualified opportunities.

2. VC theses are often so vague that they’re meaningless

Christoph Janz from Point Nine Capital wrote on Twitter:

The modal VC thesis is: “We invest in great teams addressing large markets with disruptive solutions.” Who invests in lousy teams addressing tiny markets with outdated solutions? Theses also tend to use the same words across many firms, e.g., “daring” and “bold.”

In particular, in our second dataset, we found a disproportionate number of theses focused on “technical” companies (vaguely defined) and focused on companies attacking “problems of the future rather than the present,” in various permutations of that language.

Top Visible Heuristics (in dataset of 36 U.S. VCs) Occurrences
“Technical” companies (i.e., any mention of a focus on tech companies) 26
Local affinity or bias 10
Attack problems of the future rather than the present (or some variant) 9
Technical founders 7

Why are the investment criteria so imprecise on the VC websites? We have three theories, in descending order of importance:

  • Option value. Investors don’t want to be too restrictive and miss out on a deal. However, we’d argue that for most smaller managers who are not brand names, it’s better to be highly identified in your niche than being a generalist. Most limited partners we speak with agree.
  • A desire to look “sexy” and politically correct as opposed to being honest. This is probably a major reason. For example, saying publicly, “We invest mostly in white/Asian men who went to Stanford like us” accurately describes numerous VCs, but doesn’t sound very politically correct.
  • VCs are afraid to give out their secret sauce. We think this doesn’t make much sense; you can share your criteria without telling the whole logic behind them. Many top-tier VCs share detailed public theses.

3. We found seven categories of VC theses, plus an eighth: the non-thesis

What makes an excellent — or at least clear — investment thesis?

4 essential truths about venture investing

Typically, investors either have a very loose nonrestrictive strategy to investing or maintain a strict focus on a few particular areas. As two extremes:

  • Founder Collective describes itself as “deliberately anti-thematic. Visionary founders have shown us that the weird use cases of today can become the hot themes of tomorrow.”
  • By contrast, Right Side Capital has a very tight thesis:
    • Check Size: $50,000 to $200,000. Vast majority $100,000 to $150,000.
    • Total Round Size: $50,000-$500,000. (Occasional exceptions to $1 million.)
    • Valuation: $1 million-$3 million. (Rare exceptions to $6 million with extreme traction.)
    • Traction/progress: Almost always $5,000 to $30,000/month in gross profit. No ideas or prototypes.
    • Sector: Anything in tech. But you must be doing real engineering of some kind.
    • Headcount: Usually at least two full-time founders. Often a few full- or part-time workers.

We take from this that there is little consensus on whether VC investing should be thesis-driven or not. And even the “thesis-driven” VC firms often make investments outside of their stated thesis.

Of the firms that articulate a thesis, most fall into one of, or a combination of, the following seven buckets:

(1) Industry funds. Warren Buffett famously said that “diversification is protection against ignorance. It makes little sense if you know what you are doing.” In venture capital, the industry- or sector-focused funds specifically disavow diversification:

Data from OpenVC showed that VCs typically focus on two technology classes. Software is by far the most sought-after class, with 94% of VCs investing in it. Deep tech follows as a distant second with 57%. Hardware and therapeutics lag well behind.

Out of 125 funds in the database, 33 state they invest in one type of technology (e.g., “software”); 43 invest in two types of technology (e.g., “software” and “deep tech”), and so on.

(2) Business-model-defined funds. These firms also sometimes target startups that serve a specific kind of customer (e.g., B2B versus B2C) within the business model preference. For example, Point Nine Capital focuses on B2B SaaS and marketplaces at the seed stage across many industries.

(3) Geography-defined funds. Apart from the usual country-specialist investors and foreign offices of U.S.-based VCs, we see three dynamics at play:

  • VCs investing in specific geographies. Avataar Ventures invests exclusively in companies that fit these criteria: $15 million with annual recurring revenues; tech-led B2B and SaaS Companies; core operations in India/Southeast Asia; and open to active partnering. In 2019, according to the CVCA, Real Ventures invested in 42 rounds, with the total value of those rounds equal to that of the next three most active private VC firms combined. Real sees 80% of all seed deals in Canada.
  • VCs investing abroad or in binational companies, typically with technology based in a second- or third-tier market, and sales/marketing in a first-tier market. Data from OpenVC suggests that 75% of funds invest in more than one country. These results are consistent for both U.S.- and Europe-based VC firms. Explore why venture capitalists are investing in international startups and why international startups love New York, and vice versa.

(4) Entrepreneur-defined funds. This is most commonly seen in funds that focus on underrepresented founders, but we’ve seen other focused communities as well.

  • Female Founders Fund, AmplifyHer Ventures, Halogen Ventures and many others invest exclusively in women-founded businesses.
  • a16z’s Cultural Leadership Fund aims to “enable more young African Americans to enter the technology industry.”
  • J-Angels “is a community and a VC fund of top American investors (Jewish American and Israeli-born) in Silicon Valley and San Francisco.”
  • Diaspora Ventures is a “pre-seed fund … looking to back the next generation of French entrepreneurs building tech companies in the U.S.”

A special subset of this is investors that focus on mission-driven founders and typically have explicit ESG criteria. For example, City Light VC only invests in “companies where there is a direct relationship between financial outcomes and measurable social impact.”

(5) Structure-defined funds. Versatile Venture Capital, Indie.VC and other revenue-based finance and flexible VC investors state they focus on companies with a short-term focus on profitability. These firms typically invest using a nontraditional “flexible VC” structure, which allows founders to pay back their financial obligation to the fund through a combination of revenue-sharing and/or equity payback.

(6) Situation-defined funds. Some firms optimize around certain aspects of the investment situation. Alpha Partners and Proof provide capital when their partner VCs don’t have pro rata and share the economics on the investments. Correlation Ventures invests in under two weeks when there is “at least one other venture capital firm also making their first investment into the company.”

(7) Stage-defined funds. These funds tend to focus their investments in startups at a specific stage or seeking a certain check size. First Round Capital invests in rounds up to Series A and is often the “first money in,” backing entrepreneurs at the first stages of the company they’re creating.

4. Investment theses are just hypotheses; the portfolio shows how accurate the hypothesis was

We cannot formally prove a priori whether one thesis is better than another. They exist as heuristics, but at the end of the day, deal flow trumps everything. If a fantastic opportunity shows up, most VCs would invest, regardless of their thesis.

Investment theses are marketing assets toward LPs and startups. As such, there are three stakeholders when building a thesis: the investing partners, the LPs and the founders.

We can see in the example above how the thesis is not “pure” from the GP point of view. It incorporates influences from the LP and, more and more, from the founders.

Faced with the daily deal flow, the investment thesis feels like nothing but “a set of strict rules, loosely applied.” Does it mean the investment thesis is just an irrelevant practice that should be ignored or abused? We think not.

In the battle for deal flow, the thesis is at the core of a fund’s value proposition. It’s part of a VC brand and identity. It’s what makes it unique and distinctive.

We’d argue that for most smaller firms, it’s better to be highly identified in your niche than being a generalist. A fund should aim to be identified as “the” specialist in one or a combination of the seven buckets listed above. “Even at a later stage, it’s better to be talked about [as] something than nothing at all,” startup mentor Alexander Jarvis said. “You can always mention you do other things later, as they reach out knowing you are awesome at something.”

Most important, show your data: the number of checks written at each stage; the number of checks in each size level ($500,000-$1 million, $1 million-$5 million and so on); follow-on ratio; etc. Almost every investor is glad to share the winners in their portfolio, but only a few will share detailed analytics. Some worthwhile examples are First Round Capital’s 10 Year Project and FJ Labs’ 2020 Year in Review.

“VCs bury their dead quietly; they write Medium posts when things went well,” Jarvis observed. We hope more firms over time will feel comfortable sharing the real data as to how their data lines up relative to their investment thesis … and their investment hypotheses.

David Teten has advised Real Ventures and Right Side Capital. Thanks to Paulina Symala and Prabhat Gusain for research and analytical help, and to Alexander Jarvis for detailed and thoughtful comments.

11 words and phrases to cut from your VC pitch deck


TC Early Stage: The premier how-to event for startup entrepreneurs and investors

From April 1-2, some of the most successful founders and VCs will explain how they build their businesses, raise money and manage their portfolios.

At TC Early Stage, we’ll cover topics like recruiting, sales, legal, PR, marketing and brand building. Each session includes ample time for audience questions and discussion.

Use discount code ECNEWSLETTER to take 20% off the cost of your TC Early Stage ticket!

More TechCrunch

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Ilya Sutskever, OpenAI’s longtime chief scientist and one of its co-founders, has left the company. OpenAI CEO Sam Altman announced the news in a post on X Tuesday evening. pic.twitter.com/qyPMIcvcsY…

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals

Veo can generate few-seconds-long 1080p video clips given a text prompt.

Google’s image-generating AI gets an upgrade

At Google I/O, Google announced upgrades to Gemini 1.5 Pro, including a bigger context window. .

Google’s generative AI can now analyze hours of video