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????在網(wǎng)絡(luò)世界，網(wǎng)站的門類并不重要,；真正重要的是,，有人創(chuàng)建了一個新的網(wǎng)站，專門用來跟蹤某類網(wǎng)站的每日動態(tài)。對于政治新聞類網(wǎng)站來說,，Slate公司的“每日報(bào)刊摘要”（Today's Papers）（愿其安息）,、卓奇網(wǎng)上新聞（Drudge Report）和談話要點(diǎn)備忘錄（Talking Points Memo）已經(jīng)占據(jù)了統(tǒng)治地位。大笑貓（LOLCats）很出名吧,？但是如果沒有IcanHazCheezburger,，大笑貓什么都不是。談到社交網(wǎng)絡(luò),，我們永遠(yuǎn)也不能忘記FriendFeed（盡管Facebook于2009年收購了該網(wǎng)站）,。

????這便是聚合法則：只要一樣?xùn)|西足夠流行，一定會有人專門對其資訊進(jìn)行整合與再消化,。

????維尼修斯?文森提便是這樣的人,。2009年，他與人合作成立了Yipit網(wǎng)站,，該網(wǎng)站的主要業(yè)務(wù)是聚合團(tuán)購信息,。每天早上，Yipit網(wǎng)站會瀏覽482家團(tuán)購網(wǎng)站,，其中既包括Groupon和LivingSocial等行業(yè)大佬,，也包括一些名不見經(jīng)傳的小網(wǎng)站。它會收集所有團(tuán)購信息,，并按照用戶自己定制的列表發(fā)送到用戶電子郵箱中,。文森提就像是在黑色星期五（指每年11月的第四個星期五，由于這一天是感恩節(jié)后開業(yè)的第一天,，同時人們通常由此開始圣誕節(jié)大采購,，很多商店都會舉行促銷活動——譯注）之前整晚都在處理一大堆廣告?zhèn)鲉蔚募一铮皇菫榱俗層脩粼诘诙煸缟夏苁盏健靶袆又噶睢?。與其他著名的聚合網(wǎng)站相比,，他或許已經(jīng)找到了一種優(yōu)于同行的全新商業(yè)模式。

????最初的Yipit與其他許多創(chuàng)業(yè)公司一樣,，跟我們現(xiàn)在看到的Yipit完全不同,。文森提曾經(jīng)對金融分析師這份職業(yè)抱有幻想,，隨后卻發(fā)現(xiàn)這一行毫無意義,，于是他退出金融行業(yè)，成立了自己的公司,?？恐郧暗姆e蓄，他花了幾個月的時間學(xué)會了編程,，并四處承接了一些小項(xiàng)目,。說得好聽點(diǎn)，這些項(xiàng)目可以說是Google +與About.me網(wǎng)站的初級形態(tài)（其實(shí)坦白來講，應(yīng)該只是誤打誤撞而已,。）

????后來,，他考慮建立一家名為Yipit的新網(wǎng)站，主要業(yè)務(wù)是收集紐約市家具店內(nèi)正在熱賣的各種家具信息,。那次創(chuàng)業(yè)是一次“災(zāi)難”——這是文森提的原話（當(dāng)然,，其實(shí)我也這么認(rèn)為）。但這場“災(zāi)難”后來卻帶來了回報(bào)——經(jīng)濟(jì)危機(jī)來臨后,，文森提將Yipit網(wǎng)站轉(zhuǎn)變成一家聚合網(wǎng)站,，專門收集經(jīng)濟(jì)不景氣時期推出的優(yōu)惠信息。2010年,，Groupon橫空出世,，Yipit輕松轉(zhuǎn)型，轉(zhuǎn)而收集經(jīng)濟(jì)衰退時期的團(tuán)購信息,。（再也不用凌晨3點(diǎn)鐘起床收集各種不同的優(yōu)惠信息了）,。文森提由此最終確定了自己的業(yè)務(wù)方向。

????目前,，該網(wǎng)站用戶已經(jīng)達(dá)到270,，000人（并以每天1，000人的速度增長）,，并已獲得750萬美元投資,。該公司計(jì)劃，在兩年內(nèi)將公司規(guī)模由目前的7人擴(kuò)大到50人,。不管眼下是否存在互聯(lián)網(wǎng)泡沫,，只要對形勢有所了解的人都看得出，這家初創(chuàng)企業(yè)的發(fā)展勢頭在今年已經(jīng)是不錯的成績,。

????但是本文關(guān)注的重點(diǎn)并不是Yipit取得的成功,，而是它奇特的商業(yè)模式。Yipit的大部分收入都來自于各團(tuán)購網(wǎng)站的銷售收入,，但它也有其他盈利途徑,。那就是出售其對其所在行業(yè)的客觀分析。

????去年冬天,，Yipit開始收到團(tuán)購網(wǎng)站發(fā)來的電子郵件,，紛紛詢問Yipit能否協(xié)助它們了解這一行業(yè)背后的真實(shí)情況。文森提解釋道：“結(jié)果我們發(fā)現(xiàn)與這些團(tuán)購網(wǎng)站合作的商家很可能也是其它團(tuán)購網(wǎng)站主要的賣點(diǎn),。團(tuán)購網(wǎng)站雇有專人每天早上監(jiān)控其它團(tuán)購網(wǎng)站,，但監(jiān)控效果并不是很好。事實(shí)上,，有人一直在為消費(fèi)者整理這些數(shù)據(jù),。這個人是誰呢？當(dāng)然是我們了?！?/p>

????還記得吧,，文森提曾經(jīng)在私募股權(quán)公司工作過，他意識到,，團(tuán)購行業(yè)缺乏的并不是聚合網(wǎng)站,，而是分析師。而文森提恰好深諳此道,。于是,，繞了一大圈，文森提又回到了原點(diǎn),，成為團(tuán)購行業(yè)的“神經(jīng)中樞”,。Yipit博客已經(jīng)成為分析這個過熱行業(yè)的重要來源，甚至能像其他財(cái)經(jīng)新聞記者一樣,，對Groupon的S-1文件進(jìn)行深入分析,。在解答“Groupon對小企業(yè)是否有害？”這個問題時,，美國著名科技博客網(wǎng)站Techcrunch把他列為專家,，并引用了他的分析。

????到去年6月份,，Yipit開始以專家身份向委托人提供付費(fèi)服務(wù),。此項(xiàng)服務(wù)的收入包括：每個月匯總報(bào)告的費(fèi)用是495美元，私人分析員的價(jià)格是每個月1,，895美元,，而Yipit全部原始數(shù)據(jù)的價(jià)格是9，995美元,。文森提表示,，有數(shù)十家網(wǎng)站已經(jīng)提出分析要求?！斑@項(xiàng)業(yè)務(wù)可能永遠(yuǎn)無法達(dá)到上百萬美元,，抱歉，我是說千萬美元的規(guī)模,。（不過確實(shí)能賺到些錢,。）”

????當(dāng)然，他們并不是唯一一家提供該類服務(wù)的公司,?？萍疾┛途W(wǎng)站Inside Facebook對Facebook作為商業(yè)平臺的使用情況進(jìn)行了研究，并按每月230美元至300美元的價(jià)格出售研究結(jié)果,。另外兩家科技博客GigaOm和Business Insider也有自己的調(diào)研服務(wù)，而且面向更廣泛的科技界受眾。

????文森提表示,，實(shí)際上,，Yipit在獲得額外的600萬美元投資之前，便已經(jīng)接近盈利了,。他們能否擴(kuò)大業(yè)務(wù)的規(guī)模還是未知數(shù),。盡管公司還未開始進(jìn)行廣告營銷，但目前很可能依然存在許多尚待挖掘的商機(jī),。Groupon和它的山寨大軍正因?yàn)闃I(yè)務(wù)模式單一而陷入困境,，但Yipit卻重新整合它們的原材料，形成了一個新的商業(yè)模式,。這都是“聚合法則”的功勞,。

????（翻譯 劉進(jìn)龍）

????On the Web, a genre isn't truly important until somebody creates a site that obsessively tracks its every update. Political news? Legitimized by Slate's Today's Papers (may it rest in peace), the Drudge Report and Talking Points Memo. LOLCats? Nothing without ICanHazCheezburger. Social networks? Let us never forget FriendFeed (even if Facebook, which bought it in 2009, has.)

????Call it the Law of the Aggregator: If something becomes popular enough, somebody will devotedly regurgitate it.

????Vinicius Vacanti is one of those somebodies. In 2009 he and a partner founded Yipit, a site that aggregates daily deals. Every morning Yipit scans 482 daily deal sites, from the biggies like Groupon and LivingSocial to the small outfits you've never heard of. It collects all those deals and sends you an email with a customized list of them. Vacanti is like the guy who spends the night before Black Friday buried in a mess of circulars so you have your marching orders the next morning. And, in the legacy of all great aggregators, he just might have figured out a better business model than the companies he's aggregating.

????Yipit's origin story is like those of many other startups', which is to say it has nothing to do with the startup as we now know it. After growing disillusioned with the meaninglessness of being a financial analyst, Vacanti dropped out to start his own company. Backed by his savings he spent months teaching himself how to code, peeling off little projects here and there that charitably could be called the precursors to Google+ (GOOG) and About.me (and more honestly would be called roadkill).

????At some point he started thinking of a new site called Yipit that would collect information on what kind of furniture was being sold in New York City furniture stores. This was a "disaster" - Vacanti's words, not mine. (Actually, also mine.) But the disaster paid off - once the recession hit, Vacanti turned Yipit into an aggregator of recession-pegged coupon deals. And then once Groupon took off in 2010, it was an easy shift to becoming an aggregator of recession-era daily deals. (Easy other than waking up at 3 a.m. to collect all the different deals.) Vacanti had finally found his business.

????That business now has 270,000 users (1,000 new ones every day), has raised $7.5 million in funding and plans to expand from its current seven employees to as many as 50 in the next two years. If you're student of this tech bubble that may or may not exist, this will sound about right for a startup in 2011.

????But this piece isn't about Yipit's relative success. It's about a quirk in its business model. Yipit, which makes most of its money from generating sales for the various daily deals sites, is also making money another way. It's selling its objective analysis on the very industry it's a part of.

????Last winter Yipit started getting emails from daily deal sites wondering if Yipit would allow them a peak behind the curtain. "It turns out that all these businesses that run on these daily deal sites are potential leads for all these other daily deals sites," Vacanti explained. "So they were hiring people to monitor all these daily deal sites every morning but they had trouble monitoring them that well. Guess who was organizing all that data already for our consumer side? It was us."

????Vacanti – who, remember, once worked for a private equity firm - realized that the daily deals industry wasn't just lacking an aggregator, it was lacking an analyst. And Vacanti knew how to be an analyst. In coming full circle, he's become the conscience of the daily-deals space. Yipit's blog has become a source for analysis of an overheated industry, treading as deep into Groupon's S-1 as some financial journalists did. TechCrunch cites him as an expert to answer the question, "Is Groupon Bad for Small Business?"

????And as of late June Yipit became an expert-for-hire. It'll cost you $495 per month for a summary report, $1,895 per for a personal analyst call and $9,995 for all of Yipit's raw data. Vacanti says dozens of sites have asked for the analysis. "Never going to be a million - sorry, a 10 million - dollar

????They're not the only specialized site to be doing this, of course. Inside Facebook sells its research into how Facebook is being used as a business platform for $230-$300 a month. And GigaOm and Business Insider have their own research services for a broader tech audience.

????Vacanti says that before Yipit took its extra $6 million in funding it was nearing profitability. It's unclear whether they'll be able to scale their business well - though considering they haven't even started to experiment with advertising, there's a good chance there's some revenue yet undiscovered. But while Groupon and its army of clones are stuck with a monotonous business, Yipit has reassembled their raw material into an entirely new model. Chalk it up to the Law of the Aggregator.