Skip to main content

It's 1999 Again: The Bubble 2.0 And Talent Wars Of The Silicon Valley

I have been living in the Silicon Valley for a while, and sure enough I haven't forgotten the dot com days. A few days back, on my way to the San Francisco airport, I saw a billboard by aol advertising that they are cool (again!). I also observed that parking lots alongside 101 weren't that empty. I told myself "man! this does feel like 1999".



The smart people - entrepreneurs, VCs, and analysts - that I talk to, tell me that we're in a bubble. They call it Bubble 2.0. Perhaps, they're right. The company valuations are through the roof. Facebook is valued around $75 billion and Color, on the launch day, had $40 million in the bank. The angel, super angel, and incubator investment deal flow is bringing all the talent to the Valley and all these young smart entrepreneurs are working on some of the coolest things that I have ever seen. But, there's a talent side that I am worried about. What this influx of easy venture capital has ensued is companies waging talent wars. For companies such as Google, attracting and retaining talent has become very difficult. Facebook and Twitter are new Google and Quora is new Facebook. The talent acquisitions that worked in the past, such as Facebook acquiring Friendfeed, have started to fall apart since the founders realized that serial entrepreneurship is a much better option that allows them to control their destiny against trusting someone else's innovation engine.



I like the creative ways in which the start-ups try to attract the talent. When Google launched a sting operation against bing, they took the honeypot keyword "hiybbprqag" used in the sting operation to register the domain http://www.hiybbprqag.com and redirected it to the Google Jobs page. They received a few thousand resumes that week. I am seeing more and more creative techniques that the companies use to attract talent. The value proposition for a killer designer or a super-geek programmer to work for you has to extend beyond the basics in the valley. This is especially true under current circumstances where there is a stunningly short supply of designers and developers in the Valley.



The talent war is for real. It's easy to get money and get started on an idea, but a real success requires a great team composition that is not easy to achieve. But, that's the reality of the start-up world and we should recognize that the people are even more important than ever before. If you think retaining talent was hard, gaining talent is much harder. I also foresee that these new millionaires will most likely angel invest their money into new start-ups. This floodgate will result into more start-ups competing for talent and possibly with the marketing budget of the incumbents. But, then, if we believe, it's a bubble, it gotta burst one day, and when that happens, it won't be pretty.

Comments

Popular posts from this blog

Emergent Cloud Computing Business Models

The last year I wrote quite a few posts on the business models around SaaS and cloud computing including SaaS 2.0 , disruptive early stage cloud computing start-ups , and branding on the cloud . This year people have started asking me – well, we have seen PaaS, IaaS, and SaaS but what do you think are some of the emergent cloud computing business models that are likely to go mainstream in coming years. I spent some time thinking about it and here they are: Computing arbitrage: I have seen quite a few impressive business models around broadband bandwidth arbitrage where companies such as broadband.com buys bandwidth at Costco-style wholesale rate and resells it to the companies to meet their specific needs. PeekFon solved the problem of expensive roaming for the consumers in Eurpoe by buying data bandwidth in bulk and slice-it-and-dice-it to sell it to the customers. They could negotiate with the operators to buy data bandwidth in bulk because they made a conscious decision not to st...

A Data Scientist's View On Skills, Tools, And Attitude

I recently came across this interview (thanks Dharini for the link!) with Nick Chamandy, a statistician a.k.a a data scientist at Google. I would encourage you to read it; it does have some great points. I found the following snippets interesting: Recruiting data scientists: When posting job opportunities, we are cognizant that people from different academic fields tend to use different language, and we don’t want to miss out on a great candidate because he or she comes from a non-statistics background and doesn’t search for the right keyword. On my team alone, we have had successful “statisticians” with degrees in statistics, electrical engineering, econometrics, mathematics, computer science, and even physics. All are passionate about data and about tackling challenging inference problems. I share the same view. The best scientists I have met are not statisticians by academic training. They are domain experts and design thinkers and they all share one common trait: they love data!...

Reveiw: Celluon Epic Laser Keyboard

The Celluon Epic is a Bluetooth laser keyboard. The compact device projects a QWERTY keyboard onto most flat surfaces. (Glass tabletops being the exception) You can connect the Epic to vertically any device that supports Bluetooth keyboards including devices running iOS , Android , Windows Phone, and Blackberry 10. On the back of the device there is a charging port and pairing button. Once you have the Epic paired with your device it acts the same as any other keyboard. For any keyboard the most important consideration is the typing experience that it provides. The virtual keyboard brightness is adjustable and is easy to see in most lighting conditions. Unfortunately the brightness does not automatically adjust based on ambient light. With each keystroke a beeping sound is played which can be turned down. The typing experience on the Epic is mediocre at best. Inadvertently activating the wrong key can make typing frustrating and tiring. Even if you are a touch typist you'll still ...