Should You Take Your Startup To Silicon Valley?

Paul A. Jones, writing for Michael Best’s Best Venture has some advice on whether to take your startup to Silicon Valley in search of venture capital.

While on one hand, Silicon Valley might be the fastest way to determine whether your startup is “venture-worthy” by Valley standards, he sees many more appropriate venture opportunities elsewhere, depending on the type of startup you are launching.

He writes: “Over the last couple of days, it gelled that some entrepreneurs might fail to raise capital in Silicon Valley – not because their startup is not worthy of investment, but because they are not ready to play on that particular stage. In which case, going to Silicon Valley may result in failing to get a startup financed not because it was a bad idea, but because venture capital’s Broadway was not where it should have started out.”

The Periodic Table of Cybersecurity Startups

Cybersecurity is a quickly evolving field, with scads of startups across many categories, from secure communications, predictive intelligence and deception security to IIoT, cyber insurance and investors. 

The folks at CBInsights have compiled a clever Periodic Table of companies and categories of service that can give you a quick orientation. The article includes direct links to the leading companies in most of the categories. It’s the 10,000-foot view that is often missing in more narrowly focused articles.  

The Steep Costs of Misperceptions

The breakthrough financial success of the new Wonder Woman film contains an important lesson. For years, women super-heroes were outside the scope of movie producers’ considerations. Why? A 2004 film, Catwoman, also starring a female superhero, had failed to achieve its commercial aims. An assumption – female superheroes do not fill seats – became a belief that shaped future investment decisions.

DrnkPay Helps Drunks Make a Few Less Bad Decisions

A new mobile payment device was recently introduced that can utilize a breathalyzer and fitness tracker-like band to help prevent people from spending too much money when they’re intoxicated.

DrnkPay is a new app that is able to track and monitor how much individuals have drunk, and limit more purchases if they’ve had too much to drink, by connecting the device to a user’s credit and debit cards through the app.

Blockchains are the New Linux, not the New Internet

Cryptocurrencies are booming beyond belief. Bitcoin is up sevenfold, to $2,500, in the last year. Three weeks ago the redoubtable Vinay Gupta, who led Ethereum’s initial release, published an essay entitled “What Does Ether At $100 Mean?” Since then it has doubled. Too many altcoins to name have skyrocketed in value along with the Big Two. ICOs are raking in money hand over fist over bicep. What the hell is going on?

The Rise of the Fat Start-Up

In 2003, Keith Rabois, a longtime Silicon Valley investor and executive, had an ambitious idea: He wanted to start a website that would instantly offer a fair price for your home. If you accepted the offer, the site would agree to buy your house immediately, closing the deal in a matter of days.

The Supreme Court’s Big Ruling on ‘Patent Trolls’ will Rock Businesses Everywhere

Tech companies and app developers everywhere are breathing a sigh of relief after Monday’s major Supreme Court ruling on a topic that’s close to their hearts: patents. More specifically, patent lawsuits — a rising number of which analysts say are bogus and threaten to strangle new start-ups and inventions before they have a chance to succeed.

Why Wisconsin is a bottom-feeder in startup index – and how it can improve

There are some specific steps Wisconsin policymakers can – and should – take to improve its business startup rate, which once again anchored the bottom of the Ewing Marion Kauffman Foundation’s annual index. The real reasons for Wisconsin’s quasi-permanent status as a Kauffman bottom-feeder, however, likely have more to do with who we are as a people versus what state or local government can do.

AI Works Better with Human Intelligence, Too

In healthcare, machine learning may yield fast, accurate insights. But humans are still better able to detect ridiculous anomalies and discover problems that machines have not yet learned to detect.
Artificial intelligence applied to the right tasks can reveal insights that wouldn’t otherwise be surfaced, and do it faster than manual human efforts. But there are still some tasks that humans perform better than machines.