A Quote by Steve Blank
Companies that acquire startups for their intellectual property, teams, or product lines are acquiring startups that are searching for a business model. If they acquire later stage companies who already have users/customers and/or a predictable revenue stream, they are acquiring companies that are executing.
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Startups are companies that are still in the process of searching for a business model. Ventures that are further along and executing their business models are no longer startups; they are early-stage companies.
I think the rise of A.I. is bigger than the rise of mobile. Large companies are sometimes as worried about startups as startups are about large companies. Ultimately, it will be about who delivers the best service or product.
I think you might see us growing much deeper into banking. You might see us acquiring companies in the banking area. You might see us acquiring companies in the retail area. I think you might see us acquiring companies in the telecommunications. I think you will see us getting stronger in business intelligence.
We now understand the distinction between startups - who search for a business model - versus existing companies - that execute a business plan.
Our tenants now are companies like Uber, the taxi service, Meituan.com, China's version of Groupon - and a large number of startups. These companies operate in a modern way, just like their customers: They go on the Internet, look for an offer and take it.
It's a lot easier to gain traction when there is such a great proliferation of Internet access. The velocity at which some of these startups are gaining traction is mind-boggling. Companies like ShoeDazzle, Stella & Dot, Gilt, Groupon - these companies are going from zero to hundreds of millions in revenue in three years.
If we didn't have Net neutrality, carriers could do things like penalize companies that use a lot of bandwidth or create high-speed lanes and charge Internet companies extra fees to send their stuff over them. That would give an advantage to big companies and make life harder for startups.
Before, companies and startups had to lay up all this capital for data centers and servers, and take your scarce resource, which in most companies is engineers, and have them work on the undifferentiated heavy lifting of infrastructure. What the cloud has done is completely flipped that model on its head so that you only pay for what you consume.
Big companies are looking closer term, and even the most technological companies spend less than 1% of sales on research. Startups have suffered the burst bubble.
Companies spend twenty, thirty, forty percent of revenues on advertising to brand their product and to get, essentially, acquire customers cheaply. You get a lot of exposure on something like this.
State companies winning deals because of government-to- government interaction has become a rule rather than an exception. This will increase competition for multinational companies in acquiring oil and gas assets.
Baidu and Google are great companies, but there are a lot of things you can do outside them. Just as electricity and the Internet transformed the world, I think the rise of modern A.I. technology will create a lot of opportunities both for new startups and for incumbent companies to transform.
Companies are bought for their revenue, customer base, technology, or people. A few great companies offer all of these, but any valuable business offers one.
Startups allow technologists and scientists to take risks and change plans in a way that would be frowned upon in a big company. Having said that, big companies will play a key role in certain areas and in partnerships with little companies. Each has its strengths.
Startups are the engines of exponential growth, manifesting the power of innovation. Several big companies today are startups of yesterday. They were born with a spirit of enterprise and adventure kept alive due to hardwork and perseverance and today have become shining beacons of innovation.
Startups have finite time and resources to find product/market fit before they run out of money. Therefore startups trade off certainty for speed, adopting 'good enough decision making' and iterating and pivoting as they fail, learn, and discover their business model.
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