Welcome to the RSCM Blog!

Over the years, we’ve tried to chronicle how our thinking about investing has evolved and capture insights into how startups can improve their chances of success.

Before October 2016, these chronicles lived on Kevin’s personal blog, Possible Insight. Going forward, we’ll be posting new startup related content on the RSCM blog. For convenience, we’ve also replicated the relevant Possible Insight posts here.

For founders, we recommend the following series of posts as an introduction:

For investors, we recommend this path:

Understanding the RSCM Difference

RSCM is different from the vast majority of startup investors.

We are one of the only ones that is completely transparent on our Web site about our criteria and completely open access to any founders that think they meet them. Then we are fast. We make decisions in days and fund in weeks

If you’re familiar with how other investors work, you might find our behavior confusing. But once you understand our perspective, you’ll hopefully appreciate the rationality of our approach.

We look at the investment process like engineers:

  • There are very large numbers of both startups and investors.
  • The probability of any particular startup and any particular investor overlapping in their requirements is small.
  • Startups and investors both want to find the best match.
  • Time is valuable.

Conclusion: as an investor, (1) you want to be very up front with your target profile so startups outside this target don’t waste their time with you and (2) if you’re going to pass on a deal, you want to do so as quickly as possible. The later in the process you pass, the higher the cost to you and the startup. If you fail a high percentage of deals near the finish line, you’re doing it wrong.

When we analyzed and observed other investors, it seemed like two large sources of rejection frequently occurred at the very end of the process: outside of scope and disagreement on valuation. Investors would spend an enormous amount of time learning about a startup’s technology, business, and team, only to say, “No,” because they didn’t feel the investment ultimately matched their thesis or the founders wanted too high of a valuation. 

Ideal Profile

To address the first category of failure, we made a list that defined our ideal profile and stuck to it. That may sound simple in theory, but it turns out to be extremely difficult in practice due to “fear of missing out”. Our goal was to come up with a set of criteria so crisp that we would never invest outside its boundaries and would invest in anything within its boundaries at the right price. Obviously, such perfection is impossible, but we are far closer to this ideal than everyone else.

Our list is not very long:

  1. Must be a “technology startup”.
  2. Must be “capital efficient”.
  3. Must be looking for an investment of no more than our maximum round size.
  4. Must be looking for a valuation of no more than our maximum valuation.
  5. Must be located within our investment geography.
  6. Must not be in one of our excluded business areas.
  7. Must meet our minimum traction bar.
  8. Must have a minimum number of FT founders..


Obviously, the parameters of each requirement can evolve. But it’s easy to declare them at any point in time, at least for (3)-(8).

Defining a “technology startup” is more subtle. For example, Internet auction sites and bookselling sites were “technology” in 1995. In the 2020s, not so much. What about a company that makes clothing from advanced materials manufactured by someone else and then sells it on Amazon? We would look at this business and conclude that their value add is the design of the clothing, so it’s fashion not technology. A similar analysis applies to resellers, who may sell extremely technical products, but their specific value-add is not the technology in those products.

Then there’s the issue of “technology-enabled” businesses–ones that apply technology internally to deliver a non-technology product such as car repair or temporary workers. In these cases, we consider how much technical advancement the startup has achieved and whether its business is likely to scale dramatically better than it would without the technology enablement. For example, if the technology enablement were superficial and easy to imitate, we would be a no. If the business required building or customizing specialty facilities at scale, also a no. If the differentiation were branding or fashion, no.

In general, we try to predict whether the business would scale rapidly due to its technological advantage and whether the exit market would treat the business as technology, with its associated high valuation multiples. Obviously, these touchstones are imprecise, but at least they provide a framework for making a determination.

The definition for “capital efficient” is also fuzzy. The underlying issue is that, the more capital a company needs to prove out its business, the more vulnerable it is. Also, when you’re an early investor that doesn’t follow on, there can be structural challenges with large subsequent rounds that occur before a company has achieved product-market fit. The question we ask ourselves is, “Could this business reasonably get to breakeven, if necessary, with only $1M to $2M in total investment?” That doesn’t mean we don’t want companies to take more money; we just want them to have the choice and negotiating power of not needing large future rounds.

Valuation Up Front

Addressing the second challenge of avoiding mismatched valuation expectations is trickier. Any solution requires calculating at least a narrow range for the acceptable valuation up-front and at low cost. Initially, we developed a basic algorithm using parameters like founder experience and stage of technical development. This algorithm worked well enough to make us far more nimble than other investors, but required substantial qualitative judgment to determine the input value for each parameter. 

Then, a few years after we started investing, startups in our price range started routinely having initial revenues. We quickly realized that we could key valuations off these revenues. While more objective than our first algorithm, this path presented two sub-challenges.

The first sub-challenge was determining whether focusing on revenues would produce “negative selection”. It’s theoretically possible that the startups with the most potential to have very high returns are those working on groundbreaking products that take longer to reach a salable stage. In fact, there was also some conventional wisdom to this effect. However, there was also conventional wisdom from the “Lean Startup” movement that advocated getting some version of the product into the hands of customers as soon as possible.

When we analyzed our portfolio up to that point, we determined that several factors argued strongly for early revenues being a net positive:

  • Burn. Startups at our stage seemed to typically burn $10K to $20K per month. Revenues of even $5K per month could extend runway 33% to 100%. Because we fundamentally believe that the earliest startups represent option value, revenue that extended runway should increase this value.
  • Business. Having some customers willing to pay something is a positive sign that the startup is in a general area that might be a good business. Also, founders that are able to convince people to pay now is some indication that they’ll be able to convince people to pay more in the future. Finally, achieving initial revenue quickly and at relatively low cost is a signal of capital efficiency.
  • Innovation. Having customers to test new features on and ask about broader needs is a valuable source of insight. People who pay money are a more reliable source of opinion because they have skin in the game.

The second sub-challenge was how to deal with different revenue models. Obviously, a company that sells a piece of hardware at 50% margin and then a bunch of professional services is quite different from a SaaS company with customers on annual contracts at 90% margin. After reviewing our portfolio to that point, we were able to construct a set of rules that accounted for these differences:

  1. Only revenues from the technology product or service count. No professional services revenues.
  2. Only gross margins count. 
  3. Growth path matters. A startup that reaches $10K/month in three months since launch is more attractive than one who took a year to grow from $1K to $10K.
  4. Recurring matters. Customers on annual contracts are better than ones on month to month contracts, which in turn are better than those who pay once. Generating revenues from a spot market, such as an ad or affiliate network, is the least attractive.
  5. Price point matters. At low price points, the sales channel must be very scalable and the acquisition costs pretty low. At higher price points, there is more room for error.
  6. Sales channel matters. The lower cost and more scalable the channel, the better.
  7. Acquisition cost matters. The less it costs to acquire a given amount of revenue, the better.
  8. Revenue concentration matters. Having more than one enterprise customer or customer segment is more attractive.

With these rules, we can look at a startup’s revenues in the context of our historical deal flow and determine our valuation tolerance. Obviously, if we happen to have several recent deals with identical revenue characteristics, we can determine the valuation easily. But the above rules also allow us to make tradeoffs versus recent deals with different characteristics. For example, a company that is otherwise similar at half the price point would be worth a modest amount less. But if it had achieved revenue more quickly then grown much faster, that could make up the difference. In practice, we seem to be able to make these tradeoffs for most startups we encounter.

Importantly, we distinguish between the “market” price and the price we are willing to pay. While we may determine that the market price for a startup is X, that price is based on the startup going through the much lengthier, haphazard, and opaque process other investors use. So we typically ask for a price that is 20-30% below market. Conversely, we acknowledge that startups can likely get a 20-30% higher price if they are willing to go through that longer haphazard process. Note that this position makes us a more competitive choice for startups that don’t have a lead investor or a substantial fraction of the round closed. Startups that already have a chunk of working capital coming in obviously don’t get as much benefit from us moving quickly. 

Logical Process

These two innovations, sticking to an ideal profile and aligning valuation expectations up front, lead to a straightforward, efficient investment process. We simply apply the concept of failing as fast as possible.

  1. Receive request. We funnel all funding requests through our Web site to ensure we get a relatively consistent set of information that we can process quickly. Sometimes, we receive an electronic or verbal inquiry where we can “look ahead” to identify an obvious mismatch and save a founder the trouble of going to the site.
  2. Screen for profile fit. Based on a company’s description, Web site, and deck, we try to determine if a company fits our ideal profile. Occasionally, making this determination may require a few emails.
  3. Screen for valuation fit. Based on a company’s revenue model, current revenue level (including firm contracts going active soon), and capitalization structure, we calculate our valuation tolerance. Sometimes, making this determination may require a few emails. 
  4. Make an estimated offer. If a company’s valuation expectations are far outside our tolerance, we often reject the deal out of hand. If there’s potentially some room for overlap, we will provide our estimated offer to the company. Sometimes, exploring whether there is overlap may require a few emails.
  5. Review initial diligence documents. If there’s a profile fit and valuation alignment, we’ll review an initial set of diligence documents. We usually want to see a capitalization table, current balance sheet, monthly P&L spreadsheet, and some breakdown of customers.
  6. Phone call. If the documents don’t present any red flags, we schedule a phone call to review the business in general and dig down on specific issues. Often we proactively schedule a phone call for a few days after the company’s estimated date for delivering the documents.
  7. Make confirmed offer. Within 2 business days of the phone call, we make a confirmed offer or final rejection. We almost always make our offer based on a YC post-money SAFE with a cap set to our pre-money valuation plus the round size and a discount of 20%. In cases where there is a specific reason to use a different type of instrument, we can be flexible.
  8. Final diligence. If the company accepts our offer, we proceed to final diligence. Unlike some investors, final diligence is not about figuring out whether there’s a good fit. Rather, it’s about verifying the information previously provided, as well as generally making sure the company is legally and financially squared away.
  9. Execute investment. Once final diligence is complete, we generate investment documents, execute them, and then wire.

Typically, steps 1-4 take hours to days. The whole process requires 3-4 weeks from first contact to wire–if the company is responsive, has the necessary documents at hand, and there are no scheduling issues. 2 weeks is sometimes possible. The most common causes of delays are the company not having all the necessary initial and final diligence documents or there being some sort of circumstance that needs correction before we can proceed, such as converting to a C corporation. 

We often see other investors taking 3-4 months, sometimes longer, even in the good case. Moreover, we often see those investors saying, “No,” several months in. 

Internally, because our process always has a well-defined next step with a well-defined decision making scope, we rarely find ourselves getting bogged down. If we do, or if we end up having to say, “No,” late, we try to identify the underlying cause and fix it if possible.

Given this approach, we’ve found that it helps for founders to keep the following in mind:

  • Meetings are late in our process. Just because we don’t take a meeting early, doesn’t mean we’re not seriously evaluating an opportunity. Scheduling introduces calendar delays and limits the number of startups we can work with at any one time. Luckily, we can collect the vast majority of information we need for a decision without a meeting. When we take a meeting (usually by Zoom), you have already checked off many of our boxes and we have concluded a fit is likely. 
  • We care about the details of your revenues and unit economics. Because revenue is our number one metric, we tend to dig pretty deeply into the details of each revenue stream and its associated economics. We’re essentially trying to build a model of how your business generates gross margin.
  • We care less directly about your vision and team. Other investors will often spend a lot of time trying to assess your vision and entrepreneurial spirit over several meetings. While we do care about vision and team, we are humble about our ability to assess them just by talking to you, so let the early results mostly speak for themselves.
  • The more organized you are, the faster the process will go. However, we are patient. If, for whatever reason, you don’t have everything nicely organized, it usually won’t stop the deal. With a well-defined process, we can hold an investment at any stage while issues get resolved. In fact, we often help companies overcome obstacles during the process. But we would sincerely prefer to complete the process as quickly as possible so founders can start putting our investment to work in their businesses!
  • We care about speed. We want to be fast so you can be fast. First, we want to get you back to the business of building your business. Then, once we’ve invested, we want you to have the resources for faster sales, marketing, and future fundraising.

In general, we see ourselves as less judgemental and more process driven than other investors. The goal is not to holistically assess each company and pronounce it a “good deal” or not. Rather, the goal is to systematically build a large portfolio of companies in a very specific area of the market. Just because a company isn’t in our target area doesn’t mean we don’t think it will succeed.

Early Stage VC June 2022–No, The Sky Is Not Currently Falling

This post is by John Eng, RSCM’s Director of Funding Ecosystem. He stays in constant contact with other investors so that we can effectively advise our portfolio companies on their subsequent rounds.

How has the recent tech downturn affected early stage VCs investment? Undoubtedly, all startups are asking themselves this question. Should they go for the seed or Series A round now or should they buckle down and raise a smaller round from existing investors? Our poll of Seed and Series A VCs reveals that these stages remain relatively robust, though tempered by more historically realistic expectations.

As I’m writing this, VC Twitter is foreshadowing doom and gloom. Is a recession imminent? Does it feel more like the dotcom bubble of 2000 or the housing bubble of 2008? Some big high-flying growth stocks have dropped by 75% to 90%. Public SaaS multiples dropped from a high of 17x to a low of 5.6x. When will we see tech stocks bottom? What’s the right valuation to pay for growth?

Based on VC Twitter, it sure seems like the sky is falling. Many well-known later-stage and growth-stage VCs have published “crucible-moment memos” about operating during a downturn–extending runway, get to default alive, get to default investable, expect valuations to come down, etc.

But what about early-stage companies? At Right Side Capital Management, we invest at the earliest stages. Our portfolio companies are typically concerned more about the early-stage investment climate, rather than later-stages that feel a more direct impact from public market turmoil. 

Can startups still get Seed or Series A investments? Well, we tried to answer this question. We conducted an informal survey of Seed and Series A investors the week of May 21 2022. Roughly 70 responded. We asked questions like:

  • Are you still investing in new portfolio companies? If so, is your rate of investment higher, lower, or the same as it was prior to the recent tech downturn?
  • Have there been any changes in your investment themes / strategy that I should be aware of? For example, are there any new sectors you are focusing on or avoiding, or have there been any changes to the traction levels you are looking for at different stages (ie. Seed, Series A, etc.)?
  • Are there any other ways the recent downturn has affected your investing?

The results didn’t surprise us. The sky does not appear to be falling (at least yet) in early stage fundraising.

Key takeaways:

  • Early stage investors are still very active. Everyone responded that they are indeed still investing and busier than ever. Some (20%) are more cautious and are slowing down their pace of investment. And a few (6%) are opportunistically increasing their pace of investment.
  • Not many have changed their investment criteria. Those that have are just moving to earlier stages (i.e., to seed from Series A) and moving away from cyclical businesses.
  • The bar is higher now. Investors are being more selective–a higher bar in terms of both revenue and unit economics. Investors are taking more time for due diligence now that deals are less competitive, digging more into business fundamentals before committing. They are asking companies how their businesses will be impacted by an economic downturn–growing inflation, higher interest rates, slowing consumer demand.
  • Early stage investors are expecting lower valuations in Seed and Series A and are excited by it. They are already seeing a slow-down and lower valuations in Series A. They anticipate the same for seed-stage fundraising before long. Many investors who have been passing on high valuation deals are anticipating a faster pace of investment as valuations normalize. Some startups seeking Series A rounds may end up being disappointed in the valuations they receive (or don’t receive) and will need to raise bridge rounds to stay funded.
  • Reserving more capital for follow-ons. They expect bridge rounds to become more common and are therefore shifting their allocation to accommodate that need within their existing portfolio companies. That means less capital available for new investments, which has to mean either less Seed and Series A rounds get done or that round sizes are smaller (or both).
  • Spending more time advising their portcos. Startups that used to go 12 to 18 months between rounds are now expected to go 18 to 24 months before their next funding round.  As a result, investors are more engaged than normal with their portfolio companies helping them plan and adjust for this new reality. Survival, runway extension, and optimizing for unit economics is now the primary focus for most existing portfolio companies.

We understand that the changes at later stages should eventually trickle its way to earlier-stages. Some say it might happen in a month or two. Some say it might take longer.. However, the good news is that, for now, the early stage funding environment is still alive and open for business. VCs still want to meet founders. They still want to invest. The bar is higher. Valuations are lower. Due diligence is stricter. The Seed and Series A markets are not dead, they have just quickly reverted to what used to be considered normal conditions. This means early stage founders will need to adjust and become more realistic. 

We will continue to keep our eyes and ears open. I’d welcome your comments and news.

Survey Results

Are you still investing in new portfolio companies? If so, is your rate of investment higher, lower, or the same as it was prior to the recent tech downturn?
No changePace IncreasingPace decreasing
57415
Have there been any changes in your investment themes / strategy that I should be aware of? For example, are there any new sectors you are focusing on or avoiding, or have there been any changes to the traction levels you are looking for at different stages (ie. Seed, Series A, etc.)?
No change to criteriaChanging criteria
675
Are there any other ways the recent downturn has affected your investing?
No changeHigher Bar DDSeeking lower valuations
39919
Focusing on different stageMore follow-on dealsMore bridge rounds
341
Seeking longer runwaySupporting portcos moreFewer, bigger deals
241

#1 Mistake: Planning for Series A?

People sometimes ask us, “What’s the #1 mistake startup founders make?” Based on our 1100 pre-seed portfolio companies, one of the prime candidates is: “Planning for Series A.”

I don’t mean the way you plan for Series A. I mean the fact that you do it at all.

We see a lot of pre-seed pitch decks. A decent fraction have a “Comparables” section that list the Series A raises for companies with similar models in the same industry. In these cases,  Series A has become an explicit planning goal, despite the fact that these companies are at least two rounds, and probably three or four,  away from that milestone.

But the prevalence in pitch decks vastly understates the issue. From systematically interviewing 800+ founding teams in accelerators, it’s clear that Series A expectations play a substantial role in most founders’ planning.

While completely understandable, even considering Series A at the accelerator stage is usually a huge mistake. As I’ve written before, taking Series A at the point where it’s appropriate decreases your success rate (though increases your expected value). Unsurprisingly, actually working backward from a future Series A can create all sorts of planning pathology.

Yes, TechCrunch makes a big deal out of Series As. Yes, lot of cool VCs blog about Series A. Yes, VC investment leads to pretty fantastic story lines on “Silicon Valley”. But these sources of information inherently screen for outliers. It’s still the exception. Even among successful tech startups. Fundamentally, you’re trying to engineer an extreme outcome in a highly uncertain environment. On first principles, this is problematic, as Nassim Taleb so beautifully explains the The Black Swan.

But let’s work through the steps. Start with a modern Series A of roughly $10M as your goal. OK, those VCs will want evidence that you can quickly grow past the $100M valuation mark. That means you’ll probably need about a $3M Series Seed 12-24 months beforehand to build the necessary R&D, sales, and customer success scaffolding, as well as prove out a huge addressable market. This in turn implies a $1M angel round coming out of an accelerator to complete the  full featured version of the product and establish a firm beachhead market over the next 12-18 months.

Now, I can tell you from reading the investor updates for 1100+ pre-seed startups that such rounds are very hard to raise… unless you’re a strongly pedigreed founder, have obviously anti-gravity level technology, or have crazy traction in a hot space. We like to say rounds at this stage have a “geometric” difficulty curve. A round that is twice as large is four times as hard to raise.

Even if you manage to raise that round, the failure rate at each subsequent stage is high because you’re continually striving to achieve outlier levels of growth. There’s not much room for error or setbacks.  It’s like trying to run up a ridge that just keeps getting steeper and narrower, with a sharp drop into the abyss on either side.

So what’s the alternative? We recommend you ask yourself, “What’s the smallest early acquisition (but not just acqui-hire) that I’d be satisfied with?” Unless you have a significant previous exit, are already very wealthy, or have unusual risk preferences, this number is likely somewhere between a $10M and $35M acquisition where the founders still own about 1/3 to 1/2 the company. Then work backwards from that.

Now, you may be saying to yourself, “Wait a minute! If I could get acquired for $10M to $35M, I could get a Series A. It’s the same thing.” Not exactly. $20M is a typical Series A pre-money these days, at least from a traditional name firm. But you would also need to be able to demonstrate that you could quickly grow to be worth $100M+. And you usually get a bit of a premium on acquisitions. So it’s only at the upper end of the range where a Series A would be a fit, and then only some of the time.

Importantly, acquirers mostly want to see a great business or great technology and Series A investors mostly want to see enormous growth potential, which often aren’t quite the same thing. Finally, Series A investors usually want to see extremely rapid past growth, as an indicator of rapid future growth. Acquirers care much less how much time it took you.

Also, the cost of being wrong is asymmetric. Say you aim for Series A from the outset. If at any point it doesn’t work out, you either fold or do a fire sale. In a fire sale, liquidation preference will kick in and founders will get zilch anyway. Conversely, say you go the smaller route and things go much better than expected. You can still “upgrade” to the Series A path. And if you go the smaller route and fail, there’s some chance you’d still make a modest amount in a fire sale or acqui’hire.

So now let’s work backwards from the acquisition. We’ll assume that revenues, rather than technology capability, is the relevant metric because it makes the reverse induction more clear cut.

  1. In most tech sectors, a $10M to $35M acquisition means $1M to $3M per year in margin (not gross revenues, though in some sectors, the margins are so high, it’s the same thing). That’s low $100Ks of margin per month.
  2. Next, we like to think in terms of the “straightforward scaling factor”. This is the multiple by which you can grow with straightforward scaling of your product development and sales machines. No major overhauls of the product, no completely new channels, and no huge breakthroughs. Basically keep doing what you’re doing, but with more resources. In most segments, this factor is 3-4X for a target in the $100K/month order of magnitude. Obviously, it’s not a sure thing. Bad things can still happen. It can turn out that you’ve made a mistake. But it’s the difference between needing circumstances not to go strongly against you and needing circumstance to go strongly for you. That works out to $20K to $80K per month, depending on scaling factor and target outcome. Thus, your near-term goal becomes, “Build a business doing $20K to $80K per month in margin.”
  3. If your minimum acceptable exit is on the higher end and your scaling factor is on the lower end, you might want to break this stage into two (though your might want to ask yourself why your minimum is higher given the lower scaling factor). In most cases, the first step therefore reduces to, “Build a business doing $20K to $40K per month in margin.”

This is often a very achievable goal with a very modest amount of capital. How do you go about raising a round to support achieving this goal? Well, we have a post for that.

It’s worth noting that, in terms of our expected returns, it doesn’t matter too much to us one way or another whether founders follow this plan. Our funds have many hundreds of companies, so we’re expected value decision makers. Though there is also some argument to be made for preserving option value by having companies survive longer. But it’s not a huge difference either way at our level of diversification.

However, for founders who can only do a handful of startups in their career, understanding the difference between success probability and expected value could be literally life altering. And don’t forget, once you have a modest exit under your belt, you’ve got the pedigree! So it’s much easier to command the resources and attention necessary to go big from the start on the next one.

Investor Updates: Dos and Don’ts

Since publishing Minimum Viable Investor Updates almost three years ago, I’ve processed thousands more updates. We finally hired someone to take over this task a few months ago and, as part of the knowledge transfer process, I’ve been thinking a lot about how startups could improve their updates.

I’ve come up with a list of Dos and Don’ts that you can apply to your current updates, whether you’re using our minimum viable format or not. Consider it the distilled wisdom of someone who has likely processed more startup updates than any other investment principal on the planet.

Getting It Done

  • Do Start Small. A lot of founders, riding a wave of initial enthusiasm, start off writing huge, detailed missives… for a couple of months. But few can keep up that pace while running a high growth business. Then, in their own minds, they’ve set the bar too high and struggle to meet those self-imposed expectations. Better to start with a small, core update. Build the habit. Add to it incrementally. Same advice as for starting an exercise program if you want to get long-term results.
  • Don’t Let the Perfect Be the Enemy of Adequate. Founders tend to be goal oriented, and those goals tend to be big. Many seem to have a vision of the perfect update in their minds–capturing all the excitement, possibility, and heartache they’re experiencing. That’s a lot of pressure to put on yourself every month while staring at a blank page. Especially with all the other demands on your time. Let yourself off the hook and and come up with a very basic template you can fill out in 10-20 minutes (see the Minimum Viable Investor Updates post for ideas).
  • Don’t Fall into a “Shame Spiral”. Often, it seems founders miss an update, then feel like the next one has to be even better. Which makes the chance of delivering it lower. Which means the next one has to make up for two missed updates. And so on. Again, let yourself off the hook. Offer a brief apology, go back to Step 1, and Start Small.

Getting It Read

  • Do Send as Email. Email is the least common denominator. All investors have it. Nearly all investors have evolved a system for organizing email that works for them. There are lots of tools for managing email lists. Don’t use Google Groups. Don’t use Slack. Don’t try completely new platforms like Telegram. Feel free to use other platforms in addition to email. But put your core updates in email. (Yes, I can provide detailed reasons why each alternative platform is inferior but they all essentially boil down to standard least common denominator platform arguments.)
  • Don’t Put the Content in an Attachment. Honestly, I don’t understand why founders attach updates as PDF, Word, and PowerPoint. Sure, supplementary material is fine in those formats. But we receive a lot of updates where the founder has clearly written a specific update document and attached it as a file. Forcing the opening of a file just introduces friction and attachments break/slow some forms of searching. One founder said he felt it was more secure. As a former security guy, “Uh, no.” Note: there is an exception here. If the choice is between not sending a useful update at all and sending a pre-existing file like a Board deck or pitch deck traction slides, go ahead and send the file.
  • Don’t Rely Solely an Online Service Like Reportedly. Anything that requires a logon introduces friction. But it also causes particular problems where partners in a firm jointly help portfolio companies and/or have a process for actively synthesizing a view of each portfolio company’s state. You don’t want a process that makes it hard for multiple people at a firm to look out for you. If you really want to use something like Reportedly, perhaps to manage discussions, copy the body of the update into the email as well. Note: if you want to centralize your detailed financial reporting as part of your accounting system, that’s fine. Just link to it from your update emails.

Maximizing Usefulness

  • Do Put Metrics Up Front. Most founders seem to think the metrics are the punchline, but they should be the preamble. First, for the same psychological reasons that you want to put your traction up front in a pitch deck, as I explained in Your Pitch Deck is Wrong. Second, purely from a practical standpoint, if an investor is short on time, the metrics give the most information. Third, the metrics provide useful context for absorbing all the other information. Traffic shot up? I’m looking forward to finding out why. Burn spiked? I’ll expect an explanation. CAC and LTV both went up? This should be interesting.
  • Do Include Financial Metrics. Financial metrics are your startup’s basic vital signs, like pulse and blood pressure. It’s really hard to maintain situational awareness of how things are going without them. Always provide Net Burn and Ending Cash. If you’re generating revenues, provide revenues. Better yet, break it down as applicable: recurring vs one time; COGs vs margin, inbound vs outbound, etc. Whatever is most relevant to your current situation. But please don’t use non-standard or ambiguous terms without defining them. If you’re not generating revenues, provide some indication of what the timeline is, whether it’s a target shipping date for revenue generating product, details of where prospective customers are in the pipeline, etc.Note: some founders think that financial metrics should be confidential. Not from people who gave you money! If there are people on your update list who are not investors and you don’t want them to know, split the distributions. If this sounds like a hassle, go to Step 1 and Start Small.
  • Never Just Provide a Percentage Change. Perhaps even more frustrating than no financial metrics at all is seeing just a percentage change. Again, the motivation here seems to be confidentiality, but my same response applies. Statements like, “User acquisition costs dropped by 30% last month,” or, “Revenue rose 30% last month” are not only useless to your investors, they are extremely frustrating. The goal of your update is probably not to frustrate your investors.
  • Do Provide Values as Well as Graphs. Graphs are great! But often the graphs will have weird scales or multiple scales or be generally hard to read. So if you graph a quantity, be sure that each point is either clearly labeled with the corresponding value or also put the values for the most recent period in text below the graph.
  • Do Provide Fundraising Details. Investors can often help with fundraising. If not this round, then maybe the next one. We also like to get validation that our previous investment is appreciating! So knowing exactly where you are in a raise or where you ended up at close is important. If you’re raising, report the target amount, the target/hoped for valuation (range is fine), how much you have committed, how much closed, and from whom. If you’ve completed a raise, report final total, final terms, and final participants. And again, don’t use non-standard or ambiguous terms like, “We secured $500K from [firm].”  What does that mean? A verbal promise, a written commitment, signed investment documents, a check?
  • Do Organize Content into Digestible Chunks. Paragraphs of unbroken prose or lists of unbroken bullet points are hard to digest. Use descriptive and logical headings to group related information together. Never have more than three consecutive paragraphs of prose–and only then if the paraphs are reasonably short. Never have more than seven consecutive bullet points. Only have more than three consecutive graphs if they’re all closely related and seeing them together is necessary to provide a coherent picture.For reference, here are the sections we use in our internal app for summarizing company updates:
    – Metrics
    – Fundraising
    – Team
    – Business Model
    – Product/Engineering
    – Customers/Sales/Channel
    – Miscellaneous

Of course, you may have specific circumstances not addressed by this list. In general, it helps to have a model of what you’re investors are looking to get out of the updates. First, remember that they are looking at your company mostly from the outside and can’t possibly have all the context you have. And there’s no way you can load it into their heads in a reasonable period of time.

Second, investors want to be helpful if possible. But you don’t necessarily know if you need help or the best way each investor could help. Experienced investors actually have more context than you on how startups in general develop and the challenges they encounter. They obviously have more context about their own capabilities. So the best path is to give them a high level and reasonably transparent view that both maintains consistency over time but also notes “inflection points” when you think you hit them.

And you should always feel free to ask investors what they’re looking for.

However, the absolutely most important thing is to send out an update regularly. Your investors and their extended networks are a valuable asset–but only if they are up-to-date on your company. If you have 6 investors, and they each give you just a single strategic introduction every other year, that’s 3 extra opportunities per year for good things to happen. You could be missing out on introductions to acquirers, channel partners, next round funders, experienced potential hires, relevant advice, and much more. All because your investors don’t know what’s going on with your business. Can you really afford not to put this free upside in play?

The Truth About Small Seed Rounds

Have you ever finished an arduous task and thought to yourself, “Argh! I went about that all wrong. Why didn’t anyone warn me?”  Well, if you’re thinking about raising a seed round, here’s me warning you 🙂

When faced with a challenge, most entrepreneurs seek out as much data as possible, then wade in and start trying to make things happen. For fundraising, that probably means poring over TechCrunch, listening to as many “founder stories” as possible, and dissecting the top VCs’ blogs.

Of course, every one of these channels suffers from massive selection bias–only unusual events are noteworthy enough to make it through their filters. And fundraising is one of those processes where, if you optimize for the unusual case, you hurt yourself in the typical case.

At RSCM, we’ve either observed our portfolio companies raise or directly participated in 100s of seed rounds over the last 4.5 years. We are intimately familiar with the typical case and have developed a corresponding “small seed playbook”.  And, should you be lucky enough to find yourself in the right tail of the fundraising curve, there’s any easy upgrade path.

Too Much Money, Obsession with a “Lead”

The most common mistakes in raising a seed round are: a headline amount that’s too large and getting anchored on the concept of a “lead” investor.

Raising seed is rarely easy. But there’s a very steep gradient in difficulty as you move from a $500K to $1M target. In that range, you usually need substantial revenues, a clearly pedigreed team, or anti-gravity class technology. Sure, there’s some chance you could find investors who simply fall in love with you and your idea (most likely if you’re in the SF Bay Area or NYC), but the probability is low and the expected search effort is high.

Even if you satisfy one or more of the extreme requirements, as you get towards $1M, a lead investor becomes more and more necessary. Now, you may be thinking to yourself, “That’s OK; I want a lead!” Hmmm. If you’re an engineer, what would you think if someone said, “I want an architecture with a single point of failure!” Or in marketing, “I want a campaign targeted at users with low conversion rates!” Or in sales, “I want prospects with long sales cycles!” Yes, there are cases where that is in fact what you want, because there are other factors that balance out the obvious drawbacks. But as a rule of thumb, it’s a mistake.

Suppose you plan your round around a lead from the outset. If you don’t end up finding one, you have precisely zero dollars to show for your efforts. Moreover, the universe of lead investors is much smaller than that of all investors, so the prospecting job is correspondingly much harder. Finally, it typically takes a lot longer to get a first serious meeting with a potential lead investor, let alone close the deal. You’re probably in for a much longer fundraising cycle, which has tremendous opportunity cost in terms of building your business, especially at the seed stage.

Unless you truly meet some of the aforementioned extreme criteria, this path is probably not optimal. Our recommendation is that you don’t start a seed raise by looking for a lead unless you have at least $20K in monthly revenues, a dozen professional investors who have proactively expressed interest, or your business simply cannot move forward without a large chunk of capital.

Modest Raise, Brick-by-Brick, Graduated Price

So what do you do if you have zero to small revenues and don’t have a lot of VCs on speed dial? Start with a modest headline amount, $250K to $500K. Your plan will have to show you making decent progress with this amount of money. Make sure your development schedule and cash burn support you hitting a reasonable milestone with that much runway. And be prepared to tighten your belt; fundraising almost always takes longer than expected.

Then get your first commitments from your most enthusiastic supporters and members of their immediate networks. Usually, when I ask a company who is planning or trying to raise if they have anybody close to the company (friends and family, advisor, early customer, etc.) who could write a small check, the answer is yes. When I ask them why they haven’t tried to close the money yet, the answer is usually some combination of, “It doesn’t really move the needle,” and “We don’t know what terms to use.”

At the very beginning of a raise, pretty much no check is too small. You need to get the ball rolling. You also need to show momentum. So use attractive terms that lead to a quick close. I recommend a convertible note with  the standard 20% discount and 5% interest, plus a very compelling cap. If you have an attractive valuation, people will not mind so much that you don’t have a lead investor. The plan is to start the cap low and raise it gradually as you  build momentum.

Now, a lot of founders worry about dilution and lose sleep over getting “fair” value. Don’t. $100-200K worth of dilution at a valuation even 30 or 40% below what you think is market just won’t make very much difference in the long run–I assure you that there are much worse dilution potholes on the road to liquidity. And fundraising is a terrible distraction from operating your business, so an investor willing to move quickly is valuable.

You must make clear that you’re offering the earliest investors the great deal partly in return for moving quickly (the other part is due to the special relationship and/or value-add of the investor). Otherwise, most investors will dither. Sometimes it helps to tie the great deal to some sort of natural deadline like an accelerator Demo Day, a significant software release, or a large customer close. Creating a sense of urgency is much easier said than done, but you need to try.

Somewhere after $100-200K, you bump the cap up. “The great deal” becomes “the good deal”. The size of the bump depends on what the market tells you. If you closed the first chunk really fast and you have a big pipeline of prospects, bump the cap two notches. If the first chunk was still a fair bit of work or your pipeline seems thin, only bump it one notch. But keep the time pressure on to the extent you can. “The good deal” is also a limited time offer, perhaps tied to yet another natural deadline.

Once you have the first two chunks in, you can start to play a little more strategically. Getting half the the round closed often generates psychological momentum. You’ll also have money in the bank, which helps your negotiating position. And you’ll  hopefully have made further engineering and customer progress, which makes you less risky.  You can bump the cap again. You can also start trying to work AngelList and look to bigger geographies like San Francisco or NYC (if you’re not based there already). You can event start seriously probing small funds who lead rounds. This is where the upgrade path comes in.

Sidebar: Process Is Key

Before I get to upgrading a small seed round to a big seed round, I need to make a point about process. Like achieving any other company objective, fundraising works better if you impose some structure on it. You absolutely must track prospects, either in a spreadsheet or a CRM.

I recommend a couple of prospect categories: first checks, second checks, later checks, and round leads. Initially, focus on developing lists for the first two categories. You will also naturally generate names of people within your network that fall into the second two categories, but don’t devote too much energy to extending those lists until you’re ready to actively pursue those categories.

Now, start talking with all the first check prospects, focusing on two initial objectives. First, qualify each prospect. There are three basic qualification states: (1) does in fact appear to be a potential first check writer, (2) doesn’t appear to be a first check writer but may be a second or later check writer, or (3) doesn’t appear to be a check writer at all.

Second, try to expand you lists through the prospects’ networks. Ask class (1) prospects if they know anyone else who is as decisive as they are or investors that tend to follow their lead. Ask class (2) prospects if there’s anyone who they like to follow or people they typically participate alongside. In my experience, members of class (3) rarely make good referrals.

After you work through the first check prospects, move on to the second check ones, with parallel qualification and list expansion objectives.

If you have time during the first check and second check prospecting, do some modest scouting of the later check and round lead prospects. Go ahead and schedule some first meetings. These prospects probably have long scheduling lead times and require multiple stage-setting meetings anyway. The goal here is not to close them (though if they fall in your lap, seize the opportunity). Rather, the goal is gather intelligence on what they’re looking for and start building a relationship. Try to keep detailed notes in whatever tracking system you use.

Oversubscribe, Entertain a Lead, Convert if Necessary

OK, back to upgrading. Please keep in mind this is no longer the base case. Most no-to-low revenue startups never get to this point.

Suppose first-check demand justified a two notch bump in your cap, second-check demand seems strong even at the higher price, and later-check and lead scouting has yielded a promising pipeline. Further suppose that you’ve made good operational progress in the meantime. If all these stars align, you can attempt the upgrade.

In this everything-goes-smoothly scenario, you should be having lots of positive meetings with later-check prospects. At some point, it may look like you’ve got more “soft-commits” from later-check writers than you have room (assuming you stick to your original target amount). Or you may receive strong buying signals from some of your lead prospects. If either of these conditions are true, do one of two things:

  1. Force a quick close and oversubscribe if desired. Tell all interested investors that it looks like you might be oversubscribed. Make it clear that you need to get firm commitments so you can figure out if there is any room left. In other words, use scarcity and social proof to get investors to move. You can then decide whether you want to raise a larger amount than your original target.
  2. Move to close any viable professional funds as “leads”. The term “lead investor” is confusing. You naturally assume they come first. In $1M+ rounds they usually do, but in seed rounds they often just take everything left at the end. A situation that often arises is you’re talking to a potential “lead” investor that only writes $250K+ checks, but moves very slowly. At the same time, you have several later check writers that you feel you can pretty quickly and you probably don’t have room for everyone. In this situation, you need to force the action with the potential lead investor. Give them a deadline and tell them you need a term sheet in 7-10 days or you will close your existing pipeline. Absolutely do not risk losing other investors  because you want to hold out for the “lead”. When you are a low revenue company, always take the bird in the hand.

The goal in both cases, obviously, is to create a sense of both scarcity and urgency. As a low revenue startup you rarely have leverage when fundraising. Anytime you do find some, use it

Most institutional investors these days are comfortable leading a seed round with a convertible note structure. There are still a few that have a strong preference for priced rounds. If you run into one that insists on a preferred equity financing and you’ve already close a bunch of investors on notes, don’t sweat it. You can always convert all the other notes into the preferred round.

Parting Wisdom

Remember, it’s usually pretty easy to adjust and pivot when things go better than expected. So you don’t need to plan much for those scenarios. This playbook is targeted at the usual case. Oversubscribed and led seed rounds are the exception rather than rule.

Depending on market conditions, I would say only 10-20% of seed rounds are “led” in any meaningful sense and another 10-20% are oversubscribed from a modest original target. So 60-80% are just ordinary, every day seed rounds that take a while to close and have no real lead investor. Which is totally fine. Fundraising is really hard. $250K to $500K is a win. That’s roughly a year of runway and I’m continually blown away at what entrepreneurs manage to accomplish in a year.

Your Pitch Deck Is Wrong

I see a lot of pitch decks. Hundreds per year. Almost every one is wrong. Not the startup idea. Not the slide layout. Not the facts per se. But which facts and in what order. Nearly all founders use a structure guaranteed to kill their “conversion rate”.

The common flaw stems from a fundamental mismatch in the way our brains create versus consume content. Each engages a different forms of reasoning. I studied this general topic in graduate school under one of the pioneers in the field. I kept up with the literature over the years. And I observed a huge number of pitches. But it still took me years to realize what was happening (repeating the same mistake in my own pitches, of course). Once I did, I couldn’t help appreciating the ironic beauty of the situation.

First, some background in cognitive psychology. Your brain has two completely different reasoning systems. System 1 is the fast, associative pattern-matching module—good for sitting in the background while you walk the plains and then rapidly determining whether a rustle in the bushes signifies mortal danger or a tasty dinner. System 2 is the slow, logical alternative-weighing module—good for deliberately figuring out whether it’s best to make camp by the river or on the hill. (If you want the full general audience explanation of System 1 and System 2, read Thinking Fast and Slow by Daniel Khaneman, who was the partner of my late professor, Amos Tversky.)

Now, when you build a pitch deck, you have to call on System 2 to develop the content. System 2 is logical so you can’t help but try to construct a deductive proof of why someone should invest in your company. That’s why most pitches have 3-7 slides setting the stage: here’s the problem, here’s the size of the problem, here are the current solutions, here are the drawbacks of current solutions, here are the requirements for a better solution…” I refer to this pattern as “In the Beginning”.

However, when investors consume that pitch deck, either at Demo Day, in an email, or face-to-face, they call on System 1. For most people in most situations, System 1 is the default. System 2 takes much more energy and operates much more slowly, so it only gets called on when something special happens. Thus, unless your pitch quickly triggers investors’ System 1s to recognize your company as a tasty dinner, their System 2s will never wake up and no amount of logic can help you. And then when you use your System 2 to try and improve your pitch, you’ll be blind to the problem.

You may be wondering why none of your advisers notice this problem when they reviewed your deck or watched a practice pitch? Here’s another ironic bit. People who sincerely want to help with your pitch will expend the effort to use System 2, also blinding them to the lack of System 1 appeal.

Perhaps the worst case of “In the Beginning” I’ve seen was at a pitch event several years ago with a brutal schedule of 12 fifteen-minute slots. A company in the last hour really started at the beginning: the last generation of technology, quotes on recent shortcomings of that generation, market sizing for the next generation, the founders’ previous experience designing this type of system, technical architecture of their new solution, and performance metrics versus the primary incumbent. Logical, but not engaging. Ran over his time and had to rush through the last slide, which was something along the lines of logos for 5 blue chip enterprise customers, an average annual contract value of $60K/year, and current $MRR of $35K/month with 20% MoM growth for 6 months.

WTF? By the time that slide flashed on the screen, 80% of the audience members were fiddling with their cellphones or chatting with their neighbors. Talk about a missed opportunity! Better to just show that last slide, drop the mike, and walk off the stage!

Luckily, identifying the problem suggests an obvious solution—focus on triggering System 1 to flag you as interesting. So without further ado, here’s Kevin’s “Hey, tasty dinner right here!” pitch template:

  • Title Slide
  • Context Slide: super high-level explanation of what you do, 5 bullets max
  • BOOM! Slide: the most impressive thing about your company
  • Ask Slide: what the next BOOM will be and what you need to get there
  • Why Slides: details on how you made the first boom happen and why you’ll make the next boom happen too

Putting the Ask right after the Boom is key. The Boom triggers alertness and primes for action. Then you’ve got to give the investors something to pursue. Otherwise, you may lose their interest. Also, telling them about good stuff that will happen in the future right after good stuff that has already happened in the past naturally gives your good-stuff-forecast more credibility. Your investment ask will seem maximally reasonable at this point.

You may wonder why you need the Why slides at all? Well, once you wake up System 2, it needs to eat too. But keep the Why section as small as possible. The more facts you present, the more chance that System 2 will find a strong objection and dismiss you so it can go back to sleep—remember, System 2 requires a lot of energy. The goal is to just satisfy System 2 and get to the next step in the process. where you can bring other cognitive mechanisms into action. Oh, and when delivering the Why, keep referring back to the Boom as much as possible to maintain alertness. For example: “[Supporting Evidence]… which is why X customer loves us so much and is paying us so much money.”

My guess is that most founders’ pitch decks already contains 80%+ of this content. It’s just in the wrong order and probably too much detail on Context and Why. The big question you probably have is, “What should my Boom be?” Sorry, no blanket advice here. It’s situation dependent. But guess what? By simplifying the problem to one question, we’ve made it amenable to A/B testing. If your Boom isn’t obvious, generate 3-7 alternatives and test them against several investors each. Also, if you can’t come up with a decent Boom, it might be a signal that you haven’t made enough progress to fundraise with much success. So your near term goal becomes to make something Boom-worthy happen.

That’s my preliminary diagnosis and treatment. I’ve given this advice face-to-face to many startups over the past two years and have received a lot of positive feedback. But it’s an inherently limited sample. So if you read this post, try out the approach, and learn anything interesting (positive or negative), please drop me a line and let me know! Maybe someday we’ll be able to develop a thoroughly researched system of Evidence Based Pitching (EBP).

Minimum Viable Investor Updates

For pre-seed and seed stage startups, investor updates are a challenge. Often, founders try to make them too ornate and end up getting behind. Similarly, investors don’t always have the time to fully digest a finely crafted narrative and lose track of what’s happening.

At RSCM, our portfolio of pre-seed and seed-stage investments is at about 400 today, so we have lots of experience with updates. Not only do we read them all, we write a 3-7 line internal summary and each one goes into our CRM system so we have a complete history at our fingertips.

In my opinion, useful investor updates have three requirements: they must get done, they must be easy to produce, and they must be easy to consume.

Anatomy of an Update

You can deliver on all three requirements by breaking updates into modules and putting the most important modules first. That way, you need only produce the modules you have time for and we need only consume the modules we have time for. Everybody wins.

Here are the modules and order I recommend:

[Company Name] Investor Update for Month Ending [Last Day of Month]

  • Metrics
  • Highlights (Optional)
  • Asks (Optional)
  • Thank Yous (Optional)
  • Commentary (Optional)

Notice that the only required module is “Metrics”. This should be easy to produce because, at any given moment, you should have a handful of Key Performance Indicators (KPIs) you track anyway. This should be easy to consume because most investors have lots of experience absorbing tabular business data. This should be easy to get done because, in our modern software-driven world, KPIs are at your fingertips. Most importantly, if they are the metrics you are actually tracking to run your business, then they will be reasonably informative to investors. Requirements satisfied!

More detail on metrics in a minute, but first some quick notes on Highlights, Asks, and Thank Yous. If you opt to include these modules, do them as bullets. Easier to produce and easier to consume. But, as with PowerPoint slides, no more than 7 bullets per section! Even then, only go to 7 on rare occasions. No more than 5 most of the time. It’s easy for people to get saturated and when they get saturated, they flush the entire list from their attention. If you’ve got more to say, put it in the Commentary.

Everything after Metrics really is optional. Better to get the update out the door quickly than wait until you come up with points for every section. If you ever find yourself thinking something like, “I’ll crank out the Asks later,” stop! Just hit send. Then if you do think of important items later, put them in a notes file and include them in the next update. Or send out a specific Asks email.

Universal Metrics

Now for some depth on metrics. There are really two types: (1) those that are universal to all pre-seed/seed startups and (2) those that are particular to your business. Investors need both. The first type gives us a general sense of how things are going for you relative to the typical startup lifecycle.  Kind of like the vital signs that all doctors want to know regardless of patient or condition.  They help us triage our attention. So start with them:

  • Revenues: [revenues | date when you plan to start selling] (+/- ?% MoM)
  • Total Expenses: [expenses] (+/- ?% MoM)
  • Net Burn: [total revenues – total expenses] (+/- ?% MoM)
  • Fundraising Status: [not raising | planning to raise | raising | raised]
  • Fundraising Details: [how much, what structure, valuation/cap, who]
  • Ending Cash: [last month’s Ending Cash – this month’s Net Burn + this month’s Amount Raised] (+/- ?% MoM)
  • Full Time Employees: [FTEs, including founders] (+/- # MoM)

Note 1: we strongly encourage a monthly update cycle. Anything longer means we get data that’s too stale. Anything shorter, and the financial metrics don’t really make sense. Though if you’re part of an accelerator that encourages weekly updates, we’d love to see them. Just make sure we also get the monthly metrics!

Note 2: always put the percentage or absolute month-over-month changes in parentheses next to each entry. It turns out that highlighting the deltas make updates dramatically easier for us to absorb by drawing immediate attention to the most volatile areas.

A couple of quick explanations. Always have a Revenues line. If your product isn’t finished or you aren’t actively trying to generate revenues, just put the target date for when you do plan to start selling. Either piece of information is enormously helpful to us. Also, provide an FTE number that logically reflects the labor resources at your disposal. A full time contractor is a unit of full time labor that you can call on. Two half-time employees are also one unit. An intern may or may not be a unit or fraction of a unit depending on how much time he/she is putting in and whether the output is roughly equivalent to what a regular employee would produce. Don’t exclude people based on technicalities, but don’t pad your numbers either.

Now, some detail about fundraising status. This topic turns out to be pretty important to existing investors. First, it lets us know that you’re on top of your working capital needs. Second, some investors like to participate in future rounds and even the ones that don’t are a great source of warm leads. Third, it makes us feel good to know that other people have or will be validating our previous investment. Here are a couple of example fundraising bullets:

  • Fundraising Status: planning to raise in 4Q2015
  • Fundraising Details: $750K – $1M Series Seed at a $5M-$6M pre-money from a small fund and/or local angels
  • Fundraising Status: raising
  • Fundraising Details: $300K – $500K on a convertible note at a $2.75M cap with $175K soft committed from [prominent angel name] and other local angels
  • Fundraising Status: raised and raising
  • Fundraising Details: $400K closed of a $600K convertible note at a $4M cap from [small fund name], [AngelList syndicate name], and local angels.

Custom Metrics

At any point in time, there should be a handful of top-level KPIs that you monitor to help run your particular startup. Of course, they vary across lifecycle stage, technology area, and business model. Just pick the most important 2-6 and give them to us. Feel free to change them as you pivot and mature.

Here’s an example for a pre-product enterprise SaaS company:

  • Projected Alpha Delivery Date: 11/30/2015 (+15 days)
  • Alpha Access Wait-list: 47 Companies (+8)

And one for an enterprise SaaS company that recently shipped private beta

  • Max Queries/Minute: 1,201 (+29% MoM))
  • Outstanding Critical Bugs: 3 (-2)
  • Inbound Inquiries: 481 (-17% MoM)
  • Qualified Prospects: 19 (+2)
  • Paid Pilots: 3 (New Metric!)

And finally one for a consumer Web company in full operation

  • Max Concurrent Users: 1,006 (+30% MoM)
  • Registered Users: 23,657 (+13% MoM)
  • Monthly Actives: 3,546 (+4.5% MoM)
  • Users Making Purchases: 560 (+21% MoM)
  • Total Purchase Value:$17,993 (+28% MoM)
  • CAC: $12.55 (-7% MoM)

That’s it. We estimate that, if you keep your accounting system up to date and use MailChimp, producing an update with metrics and a few extra bullets should take about 15 minutes (with some practice). And you’d be heroes in our book.  Well, all entrepreneurs are already heroes.  So you’d be superheroes!

Busting More VC Myths With Data

Regular readers know that I’ve been trying to bust the “Seed Bubble” myth for years. In my latest analysis, I show that total seed funding in 2014 was nearly identical to that in 2008, not even adjusting for inflation or economic growth. Over the last year, I’ve encountered several other persistent VC myths that similarly conflict with the data. Given that the seed bubble meme seems to be subsiding (though I dispute talk of a nonexistent bubble “popping”), I thought I’d tilt at some of these other windmills.

Myth 1: Series A Crunch

The easiest target is the myth of the “Series A Crunch”. As far as I can tell, the first mention of this hypothesis was in a November 2011 blog post by Elad Gil. After a year of bouncing around the echo chamber, this November 2012 Pando Daily article by Sarah Lacy was pretty typical: “Everyone — to a person — says it’s a real phenomenon…That means we’re getting a very different ‘nuclear winter’ as a result of industry excesses this time around.”

OK, so let’s look at the data on Early Stage VC dollars and deals from the NVCA. VCEarlyDollarsVCEarlyDeals

Hmm. I’m having trouble seeing much of a “crunch”.  Pretty much up and to the right since 2009. Perhaps a slight valuation correction from 2011 to 2012, but deal volume was still going up. Certainly not a “nuclear winter”.  Basic version of the myth.. busted.

Myth 2: Seed – Series A Imbalance

But there’s a variant of the Series A Crunch argument that the real problem is a Seed – Series A Imbalance. It’s not the absolute amount of Series A activity, rather there’s an overhang of increased Seed activity that is/will be causing a shortage of Series A down the line. Both the aforementioned Gil and Lacy pieces presage this twist. But this March 2015 Fortune article says it all in the title, “Free-flowing seed capital is giving startup founders a false sense of confidence,” and subtitle, “And it’s causing chaos ahead of the Series A round.”

Now, if you’ve read my Seed Bubble posts, you know that seed capital has not been “free flowing” over the past few years.  But even I was shocked at the stark reality when I overlay VC Early and All Seed funding on the same graph.

VCEarlyvsAllSeed

For a long time, seed funding was much greater than VC Early funding–twice the size or more. Then VC Early started to creep up. During the period of the supposed “Series A Crunch”, VC Early funding was actually shooting up from about 10% less to 60% more than All Seed. In fact, the ratio of VC Early to Seed tied the all time high in 2011 when the crunch supposedly began, then nearly doubled that record by 2014. If there’s an imbalance by historical standards, it’s the opposite direction!

Myth 3: “I’m Allocated to Seed”

Obviously, if people managing investment portfolios believe the Series A Crunch or Seed – Series A Imbalance myths, they won’t allocate dollars across startup stages correctly. This trap is compounded by a misimpression of the stages themselves. Many investors believe they are allocated to “seed” when in fact they have only fractional exposure to “something VCs call seed but is vastly different from the rest of the seed market.” From an allocation perspective, misidentifying your asset classes is a huge danger.

In my opinion, what VCs call seed is not the same as the rest of the market. Just look at the average size of a VC deal vs the average size of an angel deal. (Note that the angel number is the average size of at all stages so the graph actually understates the difference at the seed stage; unfortunately, CVR tracks angel deal volume, but not deal size, by stage.)

VCSeedvsAllAngelDealSize

The ratio rose from about 4X in 2002 to 11.5X in 2014, with a peak of 14.5X in 2009. There’s clearly a categorical difference between what VCs and angels call seed.

Moreover, if you invest in an early stage VC fund, at best a modest fraction of each dollar actually goes to seed. Most early stage VCs make only a small subset of their initial investments at the round they call seed (unsurprisingly, most of the money goes into the round they call “early”). Moreover, even funds who always make their initial investments at what they call seed generally reserve at least $1 of follow-on for each initial $1. So at absolute best, investors who think they have seed exposure through VCs are getting half their dollars exposed to only the tiny slice of the seed market that accounts for the largest deals.

The share of this very high end of the market dropped precipitously in 2011.VCPctofAllSeed

In my opinion, the combination of all these factors means most investors in funds are dramatically under-allocated to over 90% of the seed stage technology startup market–a market that’s roughly the same size as the Early Stage VC market.

Does this difference matter?  Well, if you’re worried about portfolio allocation to illiquid assets, you should be pretty concerned about the future liquidity options for such assets. From that perspective, here’s a sobering statistic from CB Insights (secondary source because primary requires registration):

In 2014, 73% of technology companies acquired never took traditional VC.

So if you believe that that VC Seed gets you exposure to the entire seed stage startup asset class, your portfolio will lack exposure to 3/4 of the liquidity options. By the way, this statistic is up from 2/3 in 2013. And with record amounts of cash on the large technology company balance sheets that make these acquisitions, I could easily see this bias growing further. Imagine a portfolio that lacks exposure to 80% or 90% of the liquidity events in that asset class! This third party data dovetails nicely with my previous calculation of a massive difference in the small M&A vs IPO and large M&A market.

I will stipulate that the VC-backed exits are almost certainly each bigger. But the goal of portfolio allocation is to balance out risks within and across asset classes. The data makes it clear that relying on VC Seed leaves a portfolio exposed to idiosyncratic risks within a particularly narrow exit market. So finding some way to target the other 90% of the seed stage technology startup market seems like prudent portfolio construction.

Of course, there may be different data out there or I may have botched the crunching somehow.  So as always, feel free to check the work on my spreadsheet.

Full Year 2014 “Seed Bubble” Update

According to my usual data sources, 2014 was not nearly as good a year in seed funding as I would have expected from reading news reports.  I was fully prepared to see “bubbly” data.  However:

  • From angels, seed stage funding plunged nearly 50%, from $11.2B to $6.0B.
  • From VCs, seed stage funding dropped about 25%, from $940M to $740M.
    (While VC early stage jumped over 60% and expansion stage spiked over 110%.)
  • But median seed valuations increased 20%, from $2.5M to $3.0M.

The run up of a bubble does not typically include sharp volume drops, but the price rise may indicate something interesting is going on.

See here, here, here, here, here, here, and here for previous posts in this thread. My data sources are the Center for Venture Research for angel data, the  NVCA for VC data, and my personal tracking spreadsheet for “super angel” funds not part of the NVCA. I use the HALO report for pricing data.

Out of concern that one possible explanation for individual angel investments dropping is a shift to angel funds, I reconstructed my angel fund tracking spreadsheet from scratch.  I was worried that my list of funds was too haphazard.  So I pulled a longer, hopefully more complete, list of micro VC firms from CB Insights.  I then removed ones that are members of the NVCA, whose investments should already be included in that data. I also went through fund CrunchBase listings and Web sites, filtering out those who invest primarily outside the US or not at the seed stage.  I noted the reason for any such exclusions in my latest spreadsheet. This updated source contains 74 funds totaling $3.2B, while my 2013 source contained 29 funds totaling $1.2B—a substantial increase in coverage.  There were also 23 funds on the new list for whom I could not find dollar amounts.  However, I assume each fund with dollar amounts is  completely deployed in the current year so the total should still be a gracious estimate given that even very fast funds actually deploy over two or three years.

Despite the addition of $2B in covered super angel investments, the 2014 graphs were still sobering with a 25% total volume drop year-over-year:

totalseed2014

angelseed2014

vcseed

The big question is how do you get a pronounced volume drop and a pronounced price increase?  First, one of the data sources could have a problem.  The obvious candidate here is the CVR angel data because it accounts for most of the total volume I track, the methods aren’t documented, and this is its biggest one-year drop ever.  According to the latest report, total angel investment volume was only down 2.8%.   But the proportion of seed and early investment plummeted from 45% to 25%.  I can think of several reasons for a potential measurement inconsistencies here.  Note that the 2012 measurement was 35% so it has a lot volatility.

Similarly, the CB Insights pricing data could be the result of an anomaly, as it also experienced its biggest one-year move.  In contrast to CB Insights’ 20% jump in valuations, the CVR valuation data showed a slight decrease across all stages (but the CVR valuation data is reported inconsistently, so I have avoided using it in the past).  Of course, the CB Insights and CVR data collection methods could somehow result in systematically different samples that explain the conflicting data.

There’s another explanation that I find tantalizing, if only because it would confirm my hypothesis that founder opportunity cost drives the earliest company valuations.  Think of seed stage companies as “supplying” investments and investors “consuming” them. Econ 101 says that a simultaneous decrease in volume and increase in price implies that the supply curve has shifted left.  It’s like a freeze wiping out a significant fraction of the orange crop.  People buy less at higher prices because there’s a shortage.  But why would this happen now in the seed stage startup market?

I have a guess: the macroeconomy recovered.  Unemployment eased from 7.5% in June 2013 to 6.1% in June 2014.  Moreover, according to Indeed.com, software engineering salaries jumped 20% in 4Q2013.  All of a sudden, the opportunity cost of founding a seed stage startup went up dramatically.  That could definitely have an effect on formation rates, which would show up first in the seed stage funding data.  Another “supply side” explanation would be that founders simply need less money to advance their ideas past the seed stage.  The total number of angel-funded deals actually went up 3.8% according to the CVR report.

At RSCM, we’ve certainly seen no shortage of quality opportunities at low valuations. If anything, we are deluged. Of course, we purposely focus on smaller deals so we wouldn’t expect to see any shortage if lower capital requirements were the underlying cause. Our experience is also consistent with a data collection anomaly. I’d love to get my hands on a good dataset for accelerator program application volume. That might allow us to distinguish between declines in formation rates and capital requirements.

Bottom line: I’m still very skeptical that there is a seed stage bubble.