Thursday, August 21. 2008Crowd-funding your startup - and Social Net Worth
Matthew Ingram asks an interesting question about startiup funding, based on seeing a post on Twitter from the ex Jobster CEO trying to raise funding for his new startup:
But raising money in this way is illegal - talkin' about raising funding on TechCrunch:
However, as Matthew notes:
There are some interesting precedents - a startup sold itself on eBay a while ago, and others have followed suit. There is a rise in various web based microfinance initiatives, and videoblogging service Phreadz developer Kosso has a voluntary "Phreadz Phund" on the website (please give generously, its rather good). As TechCrunch notes, its is theoretically possible to do this legally - however, the current restrictions were brought in for good reason: Most venture financings are excluded from Securities Act registration via a private offering exemption. But the key to these exemptions are that they aren’t disclosed publicly and the investors must all be high net worth individuals. Though as Matthew notes:
Having been around this block with Angel investments, I know the the basic argument is that the "high net worth" stricture means only people who can afford it are eligible to be taken to the cleaners in this form of gambling, and its based on painful experience of many a bubble (look at the dotcom bust for example). However, the proposed approach reduces transaction costs in this space hugely, as it connects startups with investors in as direct a way as possible, and entire tranche of middlemen disappears - so that's where the economic pull will be from. Similar forces acted in share trading after all. Nonetheless, its a fascinating idea - and take it one step further - its then possible to create an online bourse where people who invest in startups can then trade their investments - and it would function as a prediction market at the same time. The issue would of course be the same that plague larger markets - (i) getting the company to tell the truth about itself, and (ii) to stop the system being gamed by hucksters. Perhaps this could be partially mitigated by another thing I've had in mind for awhile - setting up an Investment Social Net, where there was some form of pre-qualification, and basic reporting requirements for the startup. A Social Network for Social Net Worth Hmmm...and maybe we could fund the running costs of Broadstuff this way too Wednesday, August 20. 2008The Facebook of Mormon
Caught this on Steve Hodson's grumpyblog - have no idea if its true, but it makes you think
I heard from an employee close to the deal that the Mormon church’s genealogy business made an unsolicited bid to acquire Facebook. Its a more off-the-wall example than usual of the Offset Economics that underpin the "FreeConomics" of Web 2.0 (ie someone has to pay for the free lunches if the users won't), but given that the whole FreeConomic model requires people with money in other pockets to fund it, I suspect we will see more of these more "interesting" deals. The combination of social network and genealogical database gives rise to all sorts of fascinating Sci-Fi plots as well. Of course, there would also have to be a small restructuring of the way the social graph treated family groups........ The end of the Silicon Soukh?
Today eBay announced that it is de-emphasizing the auction part of its site, as users are - well, not using it. Says the New York Times:
The move is intended to help eBay compete more effectively with Amazon .com and other big online retailers. There are various thought as to why: “Buying online has changed,” said Scot Wingo, chief executive of the market research firm ChannelAdvisor. “Retail sites no longer make customers choose between convenience and price.” But they will still keep auctions going for some areas: Yet even as it shifts away from the model that made it unique in the first place, the company insists the auction model is still viable, and that it intends to offer sellers and buyers a choice of formats. Auctions are often a better approach for sellers when items are in high demand, the company says, or when the seller is uncertain of an item’s value. eBay started off as a way to shift second hand and odd goods, but has been heavily colonised by standard retailers - who find that most (ie Western) customers largely prefer the lower transaction cost of the fixed price model. However, there are questions as to how they will be distinct enough now from say Amazon. The most interesting thing about eBay though is watching the development of the arms race between buyers and sellers, and the behavioural economics and game theory that emerges - its like a real life laboratory. Issues such as timing, splitting or grouping items, delivery options have all been gamed. But this pales behind the signalling of trust and quality - how Akerlof's Law is enacted - using the star rating system. Akerlof's law shows that if there is low trust, average prices fall and bad goods chase out good. The latest iteration is to stop sellers automatically "black marking" a buyer who black marks them. Sellers protested the move, but from a signalling perspective, to increase trust it was critical. (In fact sellers seem to continually be upset with eBay, but they seem not to understand that sliding the game their way will reduce prices overerall) On the auction side there has also been heavy gaming of the auction process (especially in the last few seconds), the way items are displayed for auction - now typically sold in time delayed, smaller lots - higher margin for seller, less utility for buyer. I wonder if the reduced interest in Auctions is due to decreasing utility of signalling and an allowance of too "power-user" and seller-centric gaming, putting off the majority of occasional users (quite a lot of people tell me they don't like the auctions because of that)? (The "Silicon Soukh" was a term used in the mid 1990's for the concept of electronic markets - thus predicting an eBay before it emerged) The Mass Production of Startups
Many industries try to move from a "one - off" structure to a more mass produced model, usually driven by a desire of one of the players to to reduce costs and thus increase penetration and volume (the argument is of course circular - to increase penetration costs, must be reduced, and with reduced costs volume must be increased to make money). Mass production tends to work very well with commodity items, but is generally less successful when tried with more complex products, and much more difficult to do well when dealing with services - hence the reason we all love our utilities' customer service systems.
Thus it was with some interest I note there is increasing evidence that this move to mass production is being applied to technology startups - this post by Fred Wilson caught my eye:
Once upon a time a startup was something that was initiated by an entrepreneur seeing a gap in the market, and crafting a business to address that gap, and seeking friends and funding - a "one - off" industry structure. This structure implies startup mass production. The question is whether startups are actually natural commodity goods. In other words, do we believe this process will: (a) accelerate the formation of great new companies that bring exciting new products to market or (b) throw me-too sh*t at the wall to see what will stick In the dying days of Web 1.0 (aka the dotcom era), a large number of "Incubators" sprang up. The reason too often was that there was just too much dumb money being left on the table, as there were just not enough dotcom startups to sponge it all up. Enter incubator plus stable of startups, exit money from table - and then exit the whole panjandrum when the industry collapsed. In other words, incubation was a manifestation of bubblenomics. Having been peripherally involved with these incubators at the time, I would like to say that they followed the Type (a) scenario above - quality of the startups were high as they were carefully picked - both as people and ideas - for great potential. And I think in the early days they were. The issue was, that as more of them arose, the temptation was to build stuff that had "buzz" - ie was fundable by dumb money - rather than had intrinsic value. And - in my view - quality of teams also declined as volumes went up. So, what makes us think that This Time Is Truly Different, that we have learned our lessons? Has anything else changed this time round. Are there any factors that will change the game? Firstly, it is true that it is probably an order of magnitude less costly to get the technology built now, at least to a "beta" stage. This allows a startup to start to capture customers early. However, because of this low setup cost, in any sector there are typically a larger number of competitors (which incubation will only exacerbate). Thus they all have to use FreeConomic business models where the product is given away (if one does, all must) so they are not self sustaining until there has been a shakeout. Most of the "Incubators 2.0" want to sell the startup to deeper pockets long before that, of course. Secondly, it is possibly true that this generation of young 'Net natives are sharper, cannier and more plugged in to their social media so that good ideas travel faster and poor stuff dies quicker. Possibly. Thirdly, one could argue that funders' are more experienced this time round and are better able to predict where real niches are rather than follow the buzz and the herd. On the other hand, word on the street is that there are still shifting fashions in the funding community so there is clearly a residual of the old me-too behaviour. Fred also makes the point that many of the teams are young and inexperienced, by design. Why by design, I hear you ask? Well, the Good Side of this is, as Fred notes, that these people are 'Net natives, and don't know they will fail. There is however - if Web 1.0 lessons are anything to go by - a Bad Side: Firstly, many (most?) Incubators' business models had a few "interesting" characteristics around contract formation - by and large they were strongly structured in favour of the incubator, a bit like the model for signing new bands. This is a far easier sell to young, inexperienced people than those who have been around the block a bit. In other words it may be more a funders' economics thing than anything else. The other thing I must note about the "youth" thing is this - Fred writes that:
A wry smile at this point and a bit of disclosure here - we too are a tech startup, but we are not in the first flush of youth. It would appear that many of these programs are actually closed to people like us, despite (a) knowing our stuff technically and (b) having actually been senior managers, walked the talk etc. (Update - an (old codger) friend has noted that this youth focus is rational, as given the high attrition rate at this stage, throwing lots of cheap bodies at the wall is optimal for an incubation model) We did go on a startup program last year, but one that was funded by the LDA, NESTA etc - we beat 700 applicants to get to the last 10 - but it was one of the few programs that did not actively discriminate on founder's age. Most of the other entrepreneurs on that program were also experienced. By the way, one of the elements of that experience is a deep interest in funding terms and contractual obligations to funders Now it would be interesting to see how much better or worse the dotcom incubators' success rates were than the overall funded startup population. Sadly I don't have that data, but my hypothesis would be the fared no better, in fact my empirical observation was worse overall as by and large they were more prone to being in late, with me too stuff, and below average calibre teams. I do recall a McKinsey study soon after the crash showing that pretty much every VC in the dotcom game after 1998 lost money. So I would make a few predictions here on the Next Generation of Incubators 2.0 (I'll call them hothouses as its more part of the zeitgeist): (i) There will be little difference in average outcome between hothoused startups and organic ones, but later hothouses will underperform on average, as..... Fundamentally, this is not a type of industry that lends itself to mass production as it stands, and treating it as such is probably the wrong approach. But I'm sure everybody told Henry Ford that too..... Funnily enough, I think the Boy-band model alluded to above is closer to optimum - if the infrastructure can be standardised (knowing where to find funders, advisers, facilities etc) and contracts standardised then there would be no need to aggregate in hothouses. Perhaps this is what Silicon Valley is closest to in reality ? (Update II - good note from Nic Brisbourne re differences between Incubation 1.0 and 2.0 in the comments section) Update III - saw this on Forbes - pertinent somehow as to the Incubation Endgame I predict:
Its an interesting read...... Online Ad deals report
From PaidContent, who have counted all the deals from Q1 '07 to Q2 '08 - interesting factoids are:
VC Investments: However, given a few very high profile ones ( Google "merger" with Doubleclick at $3.1 bn, Microsoft buys Acquantive for c $6 bn - thats over half the total), the average sizes here are probably a bit misleading. Median / Mean may be better measures? Tuesday, August 19. 2008Who would have thought.....
A slow day on Techmeme (in that so much of the news wasn't really new today - leading to a short discussion on Twitter about where the Zeitgeist had gone), so here are some snippets from it that were more interesting:
In Bronze position - the Pew Internet Centre with the news that we are taking news from conventional and online sources. Actually, to be fair they've come up with some convenient "tribes", so its great for that page on the Powerpoint when it finds finds four distinct segments in today's news audience: - Net-Newsers (13%), relatively young, who only use the 'net for news Not hard to predict from standard demographics and adoption curves, though - which is in itself interesting, as it means the outcome of the game is in itself fairly predictable. Full PDF is over here Secondly, in Silver - Microsoft is trying to compete with Google by differentiating its search: Specifically, the company believes examining a full sequence of user queries can lead to more useful results. Today, the company only keeps track of the immediately prior search, but often users use search engines to explore subject areas broadly, said Satya Nadella, senior vice president of Microsoft's search, portal and advertising platform group, at the Search Engine Strategies conference here This story is actually part of a line that started running a few weeks ago (we covered it here) and using deeper context based search as a Google antidote is hardly news - but hopefully it shows real intent. But lastly, and for Gold - from the Telegraph, comes the astounding news that we find attractive people of the opposite sex - er - more attractive! "We found that shorter, slimmer females with long slender legs, a curvy figure and larger breasts are more attractive," said lead researcher Dr William Brown of Brunel University. Who would have thought...... Blogonanism
Nick Brisbourne points to a post by Tim O'Reilly re the heinous practice of Self-Linking and notes that:
O’Reilly cites numerous examples, and Techcrunch is one of the guilty parties: Its an interesting one - we do self-link where appropriate (and we haven't gone blind yet) but clearly the big blogs are now trying to set up properties where they can permanently self link, because of the potential Ad revenue and user footprint data gained. The question is what would dtive these sites to stop - I don't see any force unless users found it a less pleasant experience than sites that do outlink. For ourselves, I like Tim's thought that in any article, if 50% of the links are to yourself then that's (self) abusive. The fluttering of social media gadflies
Gadfly definition from Wikipedia:
So it was with some amusement I read this morning, on my email digest of Friendfeed, that the social media set look like they are preparing to flutter off to a New new service - Rejaw. (Does the gadfly lay its young's eggs in the old host like some wasps do, one wonders You can hear the buzz from the wings as they start up..... I wonder if any Dig-Anthropologists are studying the Dance of the Gadfly when it discovers a New Shiny Thing ? No doubt an irritant to the Friendfeed crew, who have been luxuriating in Gadfly pollination the last few months after Twitter was no longer the nectar of choice. Monday, August 18. 2008Hype curves and inflated advertising sales figures
Article on TechCrunch about the 2008 Gartner Hype Curve, and where things lie on it.
Gartner Hype Curve 2008 See that one on mobile robotics - we've been tracking that awhile, I was fascinated to see that Chris "Long Tail" Andersen's other website is on Unmanned Aerial Vehicles - or Drones as they are also known. Ditto, we've been tracking behavioural economics and surface computing. There are a number I don't see - open source hardware, various deep algoritms based approaches etc. I also suspect after this week that Cloud Computing has shortcircuited straight onto the slide into the Slough of Despond The Hype curve's early rise is driven not just by PR and hyperbole pimping New New Things, but by irrational market projections. We can go back over the years and show how various forecasters often hugely over-egg the early day forecasts and recant later, and more quietly. Mobile and Advertising are very susceptible, Mobile Advertising especially so- though not usually as bad as e-Marketers for Web Video advertising this year: In February, the Web prognosticator said YouTube et al would sell $1.4 billion in ads in the U.S. this year. Now its says it was overzealous: It has ratcheted its estimate back by 64%, to $505 million. 65% drop in 6 months - that is the best yet, we usually have a 33% drop over 1 year rule of thumb Update - Speaking of hyping the Cloud, here is one of the more extreme examples - off RWW, strangely. The hyper it goes..... Pre-Roll rocks, apparently.
From Silicon Alley Insider re our apparent love of watching web TV pre-roll:
Is this real, or just wish fulfiment from Planet Marketing to coax money out of corporate trousers? SAI are sceptical, and so are we - received wisdom is that most people don't like pre-roll - or rather, don't sit through them. Anybody out there who watches pre-roll?
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