Howard’s Stocktwits interviews are always really fun. Some people don’t get his subtly self-deprecating sense of humor but I love it. Besides discussing the usual suspects (Facebook, Twitter, Apple), we spend some time trashing Wall Street and chatting about some early-stage startups including Founder Collective investments Bnter, Giiv, Ze Frank Games, and Canvas (founder of 4chan Moot’s new startup). Of course I also shamelessly promote Hunch.
There has been a debate going on the past few days over whether seed deals should be funded using equity or convertible notes (converts). Paul Graham kicked it off by noting that all the financings in the recent YC batch were converts. Prominent investors including Mark Suster and Seth Levine weighed in (I highly recommend reading their posts). While this debate might sound technical, at its core it is really about a difference in seed investing philosophy.
I am a proponent of convertibles, but only with a cap (I’ve written about the problems of convertibles without caps before and never invest in them). I believe that pretty much every other seed investor who advocates converts also assumes they have a cap. So any discussion of convertibles without caps seems to me a red herring.
There are two kind of rights that investors get when they put money in company. The first are economic rights: basically that they make money when the investment is successful. The second are control rights: board seats, the ability to block financings and acquisitions, the ability to change management, etc. Converts give investors economics rights with basically zero control rights (legally it is just a loan with some special conversion provisions). Equity financings normally give investors explicit rights (most equity terms sheets specify board seats, specific blocking conditions, etc) in addition to standard shareholder rights under whatever state the company incorporated in (usually CA or Delaware).
To the extent that I know anything about seed investing, I learned it from Ron Conway. I remember one deal he showed me where the entire deal was done on a one page fax (not the term sheet – the entire deal). Having learned about venture investing as a junior employee at a VC firm I was shocked. I asked him “what if X or Y happens and the entrepreneur screws you.” Ron said something like “then I lose my money and never do business with that person again.” It turned out he did very well on that company and has funded that entrepreneur repeatedly with great success.
You can hire lawyers to try to cover every situation where founders or follow on investors try to screw you. But the reality is that if the founders want to screw you, you made a bet on bad people and will probably lose your money. You think legal documents will protect you? Imagine investors getting into a lawsuit with a two person early-stage team, or trying to fire and swap out the founders – the very thing they bet on. And follow on investors (normally VCs) have a variety of ways to screw seed investors if they want to, whether the seed deal was a convert of equity. So as a seed investor all you can really do is get economic rights and then make sure you pick good founders and VCs.
Seed investing is a people business. Good entrepreneurs understand this. Ron was an investor in my last two companies and never had any control rights but had massive sway because he worked so hard to help us and gave such sage advice. And most importantly, he carried great moral authority. We always knew he was speaking from deep experience and looking out for the company’s best interests – sometimes against his own economic interests.
Like it or not, the seed investment world runs on trust and reputation – not legal documents.
A few successful websites were built almost entirely through viral growth. The vast majority, however, started off by partnering with other, already successful websites. Even Google began by partnering with Yahoo. As superior as Google’s search algorithm was, it was very hard to get the masses to switch to a new search engine.
In the web 1.0 world (approximately pre-2004), integrating two web services involved lots of manual work, such as negotiating legal contracts and custom technical integration. Creating these kinds of partnerships is usually referred to as “business development” or “BizDev” (personally, I usually just call it “BD”). In the web 2.0 world, it became common for websites to create fully functional, self-service API’s with standardized legal terms. This made it possible to drastically reduce the friction of integrating services. My Hunch cofounder Caterina Fake coined the term “BizDev 2.0″ to refer to this idea (and of course Flickr was a pioneer of super robust APIs).
There is no question that removing legal and technical hurdles is a win for everyone (except lawyers). However, unless your service is extremely high profile and its value is easily understood, it still needs to be marketed to potential partners. Many websites won’t consider using a self-service API until they’ve seen it working on other sites with measurable results. So how do you overcome this particular kind of chicken-and-egg problem?
During his interview process, Hunch’s Shaival Shah, said something that struck a chord with me: he didn’t want to be called “VP BizDev” because, he said, a good BizDev person makes BizDev irrelevant. The idea is to create a number of BizDev 1.0 partnerships while simultaneously building and marketing a full service API. If you can do BizDev 1.0 with some number of (ideally high profile) websites and demonstrate that it is valuable to them (ideally quantitatively), you can then scale your service BizDev 2.0 style. Maybe this could be called BizDev 1.5.
A huge challenge for user-generated websites is overcoming the chicken-and-egg problem: attracting users and contributors when you are starting with zero content. One way to approach this challenge is to use what Geoffrey Moore calls the bowling pin strategy: find a niche where the chicken-and-egg problem is more easily overcome and then find ways to hop from that niche to other niches and eventually to the broader market.
Facebook executed the bowling pin strategy brilliantly by starting at Harvard and then spreading out to other colleges and eventually the general public. If Facebook started out with, say, 1000 users spread randomly across the world, it wouldn’t have been very useful to anyone. But having the first 1000 users at Harvard made it extremely useful to Harvard students. Those students in turn had friends at other colleges, allowing Facebook to hop from one school to another.
Yelp also used a bowling pin strategy by focusing first on getting critical mass in one location – San Francisco – and then expanding out from there. They also focused on activities that (at the time) social networking users favored: dining out, clubbing and shopping. Contrast this to their direct competitors that were started around the same time, were equally well funded, yet have been far less successful.
How do you identify a good initial niche? First, it has to be a true community – people who have shared interests and frequently interact with one another. They should also have a particularly strong need for your product to be willing to put up with an initial lack of content. Stack Overflow chose programmers as their first niche, presumably because that’s a community where the Stack Overflow founders were influential and where the competing websites weren’t satisfying demand. Quora chose technology investors and entrepreneurs, presumably also because that’s where the founders were influential and well connected. Both of these niches tend to be very active online and are likely to have have many other interests, hence the spillover potential into other niches is high. (Stack Overflow’s cooking site is growing nicely – many of the initial users are programmers who crossed over).
Location based services like Foursquare started out focused primarily on dense cities like New York City where users are more likely to serendipitously bump into friends or use tips to discover new things. Facebook has such massive scale that it is able to roll out its LBS product (Places) to 500M users at once and not bother with a niche strategy. Presumably certain groups are more likely to use Facebook check-ins than others, but with Facebook’s scale they can let the users figure this out instead of having to plan it deliberately. That said, history suggests that big companies who rely on this “carpet bombing strategy” are often upended by focused startups who take over one niche at a time.
It has become customary to use “graph” to refer to the underlying data structures at social networks like Facebook. (Computer scientists call the study of graphs “network theory,” but on the web the word “network” is used to refer to the websites themselves).
A graph consists of a set of nodes connected by edges. The original internet graph is the web itself, where webpages are nodes and links are edges. In social graphs, the nodes are people and the edges friendship. Edges are what mathematicians call relations. Two important properties that relations can either have or not have are symmetry (if A ~ B then B ~ A) and transitivity (if A ~ B and B ~ C then A ~ C).
Facebook’s social graph is symmetric (if I am friends with you then you are friends with me) but not transitive (I can be friends with you without being friends with your friend). You could say friendship is probabilistically transitive in the sense that I am more likely to like someone who is a friend’s friend then I am a user chosen at random. This is basis of Facebook’s friend recommendations.
Twitter’s graph is probably best thought of as an interest graph. One of Twitter’s central innovations was to discard symmetry: you can follow someone without them following you. This allowed Twitter to evolve into an extremely useful publishing platform, replacing RSS for many people. The Twitter graph isn’t transitive but one of its most powerful uses is retweeting, which gives the Twitter graph what might be called curated transitivity.
Graphs can be implicitly or explicitly created by users. Facebook and Twitter’s graphs were explicitly created by users (although Twitter’s Suggested User List made much of the graph de facto implicit). Google Buzz attempted to create a social graph implicitly from users’ emailing patterns, which didn’t seem to work very well.
Over the next few years we’ll see the rising importance of other types of graphs. Some examples:
Taste: At Hunch we’ve created what we call the taste graph. We created this implicitly from questions answered by users and other data sources. Our thesis is that for many activities – for example deciding what movie to see or blouse to buy – it’s more useful to have the neighbors on your graph be people with similar tastes versus people who are your friends.
Financial Trust: Social payment startups like Square and Venmo are creating financial graphs – the nodes are people and institutions and the relations are financial trust. These graphs are useful for preventing fraud, streamlining transactions, and lowering the barrier to accepting non-cash payments.
Endorsement: An endorsement graph is one in which people endorse institutions, products, services or other people for a particular skill or activity. LinkedIn created a successful professional graph and a less successful endorsement graph. Facebook seems to be trying to layer an endorsement graph on its social graph with its Like feature. A general endorsement graph could be useful for purchasing decisions and hence highly monetizable.
Local: Location-based startups like Foursquare let users create social graphs (which might evolve into better social graphs than what Facebook has since users seem to be more selective friending people in local apps). But probably more interesting are the people and venue graphs created by the check-in patterns. These local graphs could be useful for, among other things, recommendations, coupons, and advertising.
Besides creating graphs, Facebook and Twitter (via Facebook Connect and OAuth) created identity systems that are extremely useful for the creation of 3rd party graphs. I expect we’ll look back on the next few years as the golden age of graph innovation.
Paul Kedrosky recently speculated that there might be seed fund “crash” looming. Liz Gannes followed up by suggesting seed investors are a fad akin to reality-TV celebrities:
In many ways, what [prominent seed funds] are saying is that they’re just smarter, and as such will outlast all the copycat and wannabe seed funders as well as the stale VCs with a fresh coat of paint. But then — Kim Kardashian is the only one who can make a living tweeting. At some point it will be quite obvious whether the super angels’ investments and strategy succeed or fail.
Here’s the key point these analyses overlook: It’s not the seed investors who are smarter – it’s the entrepreneurs. Consider the case of the last company I co-founded, SiteAdvisor. We raised our first round of $2.6M at a $2.5M pre-money valuation. After the first round of funding, investors owned 56% of the company. Moreover, the $2.6M came in 3 tranches: $500K, another $500K, and then $1.6K. To get the 2nd and 3rd tranches we had to hit predefined milestones and re-pitch the VC partnerships. Had we instead raised the first $1M from seed funds, we would have been free to raise the remaining money at a higher valuation. In fact, after we spent less than $1M building the product, we raised more money at a $16M pre-money valuation. We never even touched the $1.6M third tranche even though it caused us to take significant dilution. This was a very common occurrence before the rise of seed funds, due to VCs pressuring entrepreneurs to raise more money than they needed so the VCs could “put more money to work.” When SiteAdvisor was eventually acquired, we had spent less than a third of the money we raised. Compare the dilution we actually took to what we could have taken had we raised seed before VC:
Professional seed funds barely existed back then, especially on the East Coast. And even if they did, I’m not sure I would have been savvy enough to opt for them over VCs. I thought the brands of the big VCs would help me and didn’t really understand the dynamics of fund raising.* Today, entrepreneurs are much savvier, thanks to the proliferation of good advice on blogs, via mentorship programs, and a generally more active and connected entrepreneur community. For example, Founder Collective recently backed two Y-Combinator startups who decided to raise money exclusively from seed investors despite having top-tier VCs throwing money at them at higher valuations. These were “hot” companies who had plenty of options but realized they’d take less start-to-exit dilution by raising money from helpful seed investors first and VCs later.
Will there be there a seed fund crash? Seed fund returns are highly correlated with VC returns which are highly correlated with public markets and the overall economy. I have no idea what the state of the overall economy will be over the next few years. Perhaps it will crash and take VCs and seed funds down with it. But I do have strong evidence that prominent seed funds will outperform top-tier VC funds, because I know the details of their investments, and that their portfolios contain the same companies as top-tier VCs except the they invested in earlier rounds at significantly lower valuations. So unless these prominent seed funds were incredibly unlucky picking companies (and since they are extremely diversified I highly doubt that), their returns will significantly beat top-tier VC returns.
* Note that we have nothing but gratitude toward the SiteAdvisor VCs – Rob Stavis at Bessemer and Hemant Taneja at General Catalyst. They offered what was considered a market deal at the time and supported us when (almost) no one else would.
Your #1 competitor starting out will always be the BACK button, nothing else. – Garry Tan
Suppose you have an idea for a startup, and then do some research only to discover there are already similar products on the market. You become disheartened and wonder if you should abandon your idea.
In fact, the existence of competing products is a meaningful signal, but not necessarily a negative one. Here are some things to consider.
1) Almost every good idea has already been built. Sometimes new ideas are just ahead of their time. There were probably 50 companies that tried to do viral video sharing before YouTube. Before 2005, when YouTube was founded, relatively few users had broadband and video cameras. YouTube also took advantage of the latest version of Flash that could play videos seamlessly.
Other times existing companies simply didn’t execute well. Google and Facebook launched long after their competitors, but executed incredibly well and focused on the right things. When Google launched, other search engines like Yahoo, Excite, and Lycos were focused on becoming multipurpose “portals” and had de-prioritized search (Yahoo even outsourced their search technology).
2) The fact that other entrepreneurs thought the idea was good enough to build can be a positive signal. They probably went through some kind of vetting process like talking to target users and doing some market research. By launching later, you can piggyback off the work they’ve already done. That said, you do need to be careful not to get sucked into groupthink. For example, many techies follow the dictum “build something you would use yourself,” which leads to a glut of techie-centric products. There are tons Delicious and Digg clones even though it’s not clear those sites have appeal beyond their core techie audience.
3) That other people tried your idea without success could imply it’s a bad idea or simply that the timing or execution was wrong. Distinguishing between these cases is hard and where you should apply serious thought. If you think your competitors executed poorly, you should develop a theory of what they did wrong and how you’ll do better. Group buying had been tried a hundred times, but Groupon was the first to succeed, specifically by using coupons to track sales and by acquiring the local merchants first and then getting users instead of vice versa. If you think your competitor’s timing was off, you should have a thesis about what’s changed to make now the right time. These changes could come in a variety of forms: for example, it could be that users have become more sophisticated, the prices of key inputs have dropped, or that prerequisite technologies have become widely adopted.
Startups are primarly competing against indifference, lack of awareness, and lack of understanding — not other startups. For web startups this means you should worry about users simply not coming to your site, or when they do come, hitting the BACK button.
Tim O’Reilly poses a question every entrepreneur and investor should consider: are you creating more value for others than you capture for yourself? Google makes billions of dollars in annual profits, but generates many times that in productivity gains for other people. Having a positive social contribution isn’t limited to non-profit organizations – non-profits just happen to have a zero in the “value capture” column of the ledger. Wall Street stands at the other extreme: boatloads of value capture and very little value creation.
I think of people who aim to create more value than they capture as “builders” and people who don’t as “extractors.” Most entrepreneurs are natural-born builders. They want to create something from nothing and are happy to see the benefits of their labor spill over to others. Sadly, the builder mindset isn’t as widespread among investors. I recently heard a well-known Boston VC say: “There are 15 good deals a year and our job is to try to win those deals” – a statement that epitomizes the passive, extractor mindset. The problem with VC seed programs is they not only fail to enlarge the pie, they actually shrink it by making otherwise fundable companies unfundable through negative signaling.
The good news is there is a large – and growing – class of investors with the builder mindset. Y Combinator and similar mentorship programs are true builders: their startups probably wouldn’t have existed without them (and the founders might have ended up at big companies). There are also lots of angel and seed investors who are builders. A few that come to mind: Ron Conway, Chris Sacca, Mike Maples (Floodgate), Roger Ehrenberg, Keith Rabois, Ken Lehrer, Jeff Clavier, Betaworks, Steve Anderson, and Aydin Senkut. There are also VCs who are builders. Ones that I’ve worked with directly recently include Union Square, True, Bessemer, Khosla, Index, and First Round.
Given that there is a surplus of venture money, entrepreneurs and seed investors now have the luxury of choosing to work with builders and avoid extractors. Hopefully over time this will weed out the extractors.
My Hunch cofounders and I frequently ask ourselves: “If we were to start over today, would we build our product the same way we had so far?” This exercise is meant to counter a number of common cognitive biases, such as:
1. The sunk costs trap. People tend to overvalue past investments when making forward-looking investment decisions. From the rumors I’ve heard, Joost was a company that fell into the sunk costs trap. In the beginning, their p2p architecture was their main differentiator. Thus they invested a lot in building p2p infrastructure and required users to download a software client. When browser-based web video companies like Hulu and YouTube surpassed them, Joost switched to a browser-based client but still required a special plugin so they could maintain their p2p architecture. In fact, the problem the p2p architecture was solving – reducing bandwidth costs – had, in the meantime, become a secondary basis of competition. By the time Joost finally discarded the p2p model, it was too late.
2. The Bridge on the River Kwai syndrome. This is when entrepreneurs fall so in love with their engineering project qua engineering project that they lose site of the larger mission. Former engineers (like me) are particularly susceptible to this as we often get excited about technology for its own sake. Many products can be built much more quickly and cheaply by settling for good technology plus a bunch of hacks – human editing, partnerships, using 3rd party software – versus creating a perfect technology from scratch. At my last company, SiteAdvisor, we made the decision up front to build a non-perfect system that did 99% of what a much more expensive, “perfect” technological solution would have done. The software wasn’t always pretty – to the annoyance of some of our engineers – but it worked.
3. Solving the wrong problem. Location-based social networks have been around for years. Foursquare came along just a year ago and has seemingly surpassed its predecessors. The other companies built elaborate infrastructures: e.g they partnered with wireless carriers so that users’ locations could be tracked in the background without having to “check-in”. Foursquare built a relatively simple app that added some entertaining features like badges and mayorships. It turned out that requiring users to manually check in was not only easier to build but also appealing as users got more control over their privacy. Foursquare’s competitors were solving the wrong problem.
Ask yourself: if you started over today, would you build the same product? If not, consider significant changes to what you are building. The popular word for this today is “pivoting” and I think it is apropos. You aren’t throwing away what you’ve learned or the good things you’ve built. You are keeping your strong leg grounded and adjusting your weak leg to move in a new direction.
The first million people who bought VCRs bought them before there were any movies available to watch on them. They just wanted to “time shift” TV shows – what we use DVRs for today. Once there were millions of VCR owners it became worthwhile for Hollywood to start selling and renting movies to watch on them. Eventually watching rented movies became the dominant use of VCRs, and time shifting a relatively niche use. Thus, a product that eventually had very strong network effects* got its initial traction from a “standalone use” – where no other VCR owners or complementary products needed to exist.
I was talking to my friend Zach Klein recently who referred to products as having single player and multiplayer modes. I like Zach’s terminology because: 1) it is borrowed from video games where a lot of thought has gone into making these modes compelling in distinct ways, 2) the word “mode” reminds us that people can switch from moment to moment – that even when a product is primarily social or networked and has reached critical mass it might still be useful to offer a single player mode.
Many products that we think of as strictly multiplayer also have single player modes. In many cases this single player mode helped adoption in the early stages when the network effects were not yet strong. For example, you could use Flickr just to store photos privately if you wanted to. I thought of Foursquare as strictly multiplayer until my Hunch cofounder Tom Pinckney told me he uses it solely to keep track of restaurants he’s gone to so he’ll remember which ones to go back to. For some products it’s really hard to imagine single player modes. This is true of pure communication products like Skype and perhaps also social networks like Facebook (although apps like games seem to have provided single player modes for Facebook).
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* Products with so-called networks effects get more valuable when more people use them. Famous examples are telephones and social networks. Network effects can be your friend or your enemy depending on whether your product has reached critical mass. Getting to critical mass in network effect markets is sometimes called overcoming the “chicken and egg problem.” More here.
