A Simple Deck Framework

The Angle Issue #220: For the week ended April 9, 2024

A simple deck framework
David Peterson

It must be fundraising season, because last week I spent what felt like half my time just workshopping decks with founders. I’m not complaining, though. Reviewing decks might be my favorite part of the job. Decks, especially at our stage, are more about story than they are about hard numbers. They’re about convincing someone that your vision for the future, however unlikely, is the right one. That’s inspiring stuff! All of which is to say…if you’re workshopping a deck right now, let me know! Happy to help.

Anyway, while I firmly believe that there’s no “perfect” deck framework, and that the right narrative depends on what you're building, I find myself recommending something very similar to the following again and again:

Slide 1: What the world is going to look like 5-10 years

Slide 2: Your novel solution as part of that world

Slide 3: The unique wedge or product hook that will get you in the front door

Slide 4: Your distribution edge

Slide 5: Competitive landscape

Slide 6: What could go wrong

Slide 7: What you're raising and what you'll prove with that money

Slide 8: Team

It's not perfect for every company out there. But it hits on a few things that many pitches miss.

First, the initial slide enables you to showcase your vision for the future (which gives you an opportunity to highlight both your expertise and what you believe to be true that others may disagree with) and place the problem you’re trying to solve within that context. With that framing, your solution, which you discuss in your second slide, has a feeling of inevitability around it. Strong start.

Second, the third and fourth slides force you to think through both your wedge and your distribution edge. As I’ve written about before, I think both of these topics are critical to think about even at the earlier stages. You should be able to clearly explain what it is about your product that will get people hooked quickly (others might call this the “killer feature” or something like that). Depending on how early you are, your distribution edge may be more of a distribution hypothesis. That’s fine. But you should come to the table with some thoughts. Most decks don't do this. They instead spend a ton of time describing the solution in minute detail, but don’t engage with the realities of a complex world, with many competing solutions, and busy people who most of the time would rather not buy anything at all.

Third, the competitive landscape. Whether you go for the 2x2 matrix we’ve all come to know and love, or the feature comparison table, or something else entirely, I don’t care. The point of this slide is two fold: (1) give the investor you’re speaking with a framework for thinking about the competitive landscape, and (2) show that you have a deep understanding of the competition. Because the investor most often knows nothing about the space you’re in, you have an opportunity to frame how they think about the landscape overall. That’s powerful, especially if your framing supports your vision for the future. You want them thinking about the world as you do. And showing that you have mastery over the competition just further reinforces that you know your stuff.

Fourth, the "what could go wrong" slide is a direct crib from the folks at Slow Ventures. It's super smart. For better or for worse, every investor sits on a pitch call trying to come up with smart sounding reasons that they can't invest. By listing out all the easy reasons they'll likely come up with, you will force them to actually think. Some of the reasons you come up with will just be descriptions of the risk you’re asking the investor to take. There’s nothing you can do about those, except try to minimize them in the investor’s mind. But there will be others that you can pre-empt, handle earlier in the pitch, or even start to plan around outside of the pitch. So by forcing yourself to write them out, the rest of the pitch will improve. Even if you never get to that slide.

The next slide about “what you’ll prove” with the money you raise is the opposite side of the same coin. Often, what you’re derisking are the things that could go wrong. So, by listing them out in slide 6, you’ve defanged the investor. And by explaining that you have a plan to mitigate those risks in slide 7, you’ve shown that you’re all over it.

As I always say when discussing deck structure, there are a bunch of other things you could quibble about. But these are the basics. Do this and you'll already be better than 90% of what's out there.

David

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EUROPE AND ISRAEL FUNDING NEWS

France / Software. Pigment raised $145M, led by ICONIQ Growth, to double down on its business planning platform.

UK / Software. Luminance raised $40M, led by March Capital, for its specialist legal Large Language Model that automates the generation, negotiation and analysis of contracts.

France / Climate Tech. Iceberg Data Lab raised $10M, led by Beringea, for its ESG data platform targeting the financial sector.

UK / Fintech. Coadjute raised £10M, led by Lloyds Banking Group, alongside Nationwide, NatWest and Rightmove, to expand its property transaction management platform nationwide.

Sweden / Software. Telness raised €5M, led by Industrifonden, to enable cloud-based mobile operators (MVNOs) to launch to reduce costs.

UK / Fintech. Condukt raised £2.5M, led by Lightspeed, for their AI-powered business verification startup.

WORTH READING

ENTERPRISE/TECH NEWS

Google pursuing an acquisition of Hubspot, pushing deeper into enterprise application software. According to Reuters, Google is seeking to acquire Hubspot. “Google parent Alphabet… has been talking to its advisers about the possibility of making an offer for HubSpot, an online marketing software company with a market value of $35 billion, people familiar with the matter said. If Alphabet moves ahead with a bid, it would be a rare example of a major technology company attempting a mega deal amid heightened regulatory scrutiny of the sector under U.S. President Joe Biden's administration.” According to Ron Miller in Techcrunch, “When you combine [the uncharacteristically large size of the acquisition] with the austerity program that most tech companies have been on in recent years, and a warning from Google CEO Sundar Pichai in January that more job cuts were coming, it’s not the type of deal that seems likely in a belt-tightening climate, and certainly one that might be tough to justify to employees if those kinds of optics actually matter. Yet with a huge cash horde of $110 billion on hand as of the end of last year, it certainly has the cash to make the move if it wants to. Another issue the company could face in trying to buy HubSpot is a hostile regulatory environment for large deals. The U.S., the U.K and the EU have been monitoring large deals closely these days. Some, like Adobe’s attempt to buy Figma for $20 billion didn’t make it to the finish line because of competitive concerns. It’s not clear that Alphabet would face those same concerns with a CRM tool. HubSpot faces pretty powerful competition from Adobe and Salesforce, two well-capitalized firms, so this wouldn’t give Google a lock on that market by any means, but if there’s a risk, there’s sure to be a termination fee involved to hedge against that, another factor the company would need to take into consideration.”

AI Hype and Grifting. Sir Dennis Hassabis, the founder of Google Deepmind, had some sober analysis of (and some choice words for) the AI industry recently in the FT. “The chief executive of Google’s AI research division told the Financial Times that the billions of dollars being poured into generative AI start-ups and products “brings with it a whole attendant bunch of hype and maybe some grifting and some other things that you see in other hyped-up areas, crypto or whatever. “Some of that has now spilled over into AI, which I think is a bit unfortunate. And it clouds the science and the research, which is phenomenal,” he added. “In a way, AI’s not hyped enough but in some senses it’s too hyped. We’re talking about all sorts of things that are just not real.””

Rubrik going public with over $700M in revenue. The company, which recently filed to go public on the NYSE, began selling hardware systems for enterprise backup but evolved into a software-only cloud-based CDM (cloud data management) company with a strong emphasis on cloud data security, leading up to its acquisition of Israeli DSPM vendor Laminar in 2023.

HOW TO STARTUP

Validating a B2B concept. Lenny Rachitsky wrote a long and thoughtful analysis of various product validation strategies. In the full piece, he considers four strategies: “(1) The do-it-manually path: Don’t build anything—solve the problem manually first, for a small number of companies; (2) The listening path: First talk to tons of potential users, and then start building; (3) The prototype path: Start building a prototype and then co-create it with a small number of design partners; (4) Just launch and see how it goes.”

A profile of HuggingFace. Sifted interviewed the founders of HuggingFace, the French AI model platform and went into the company’s original story and evolution. “Hugging Face pivoted in 2019, just after Google researchers released an open source model named BERT, which set a new standard in one application of AI called natural language processing (NLP). The company’s engineers created and open-sourced a version of BERT that was easier to use than the academic model from Google, and released it on a new Hugging Face platform. “We saw a huge impact on the traction this created in our community,” says Chaumond. Fast-forward a few years and several rounds of fundraising, largely with US VCs, and Hugging Face has become a global hub for developers, who use the platform to access and share the building blocks of AI models. Although the models are free, the company monetizes some premium features — such as access to cloud computing services through partnerships with providers like AWS. Hugging Face does not disclose its revenues. Chaumond says that the majority of the company’s revenue comes from deals signed with US companies. Players like Meta, Amazon, Microsoft, Google, and Intel all use the platform.”

HOW TO VENTURE

Tiger cub. In a sign of changing times, Tiger Global, raised a $2.2B fund which was 63% below its target fund size of $6B and a small faction of its previous fund, which was $12.7B in size. According to Bloomberg, “Tiger faces the most difficult fundraising climate in years, with investors growing more cautious about VC and private equity bets after valuations slid and deals dried up. With firms slow to return cash, clients have limited ability to make new investments. Many private equity and venture firms have recently missed or cut their fundraising targets, including Apollo Global Management Inc., Carlyle Group Inc. and Insight Partners. It’s the latest in a series of challenges for Tiger. In November, the firm announced that founder Chase Coleman would take over for venture chief Scott Shleifer, who stepped down to become a senior adviser.”

PORTFOLIO NEWS

CruxOCM announced a significant investment from Emissions Reduction Alberta. This investment from the Government of Alberta's Technology Innovation and Emissions Reduction Fund, signifies a pivotal moment in advancing CruxOCM's transformative solutions to drive sustainability and efficiency across the industry.

LightSolver's CEO, Ruti Ben-Shlomi, recently spoke to Fierce Electronics about their newly released LPU100 laser-based computing system. Compared to a QPU, Ruti emphasized: “We aren't building processing units based on qubits or quantum mechanic principles. The LPU is based on laser physics.”

PORTFOLIO JOBS

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