AVOID WASTING TIME: Here’s The Best VC Advice Of The Week


So much advice, so little time to read…

“How to Shorten Your Sales Cycle And Avoid Wasting Time,” by Mark Suster of Upfront Ventures“The thing is … what I see many sales execs do is burn up countless hours on mid-level campaigns that get torpedoed when the go up the organization due to lack of budget, a desire to own that core IP or other more pressing organization priorities.  You need to align your selling cycle with a buyers purchasing cycle otherwise you’re wasting your time and theirs. If they’re not buying you need to be marketing to them not selling to them.”

“Coinbase,” by Chris Dixon of Andreessen Horowitz: “The Internet is based on a set of core protocols that specify how information such as text, photos, and code should be transmitted. The designers of the Web built placeholders for a system that moved money, but never successfully completed it. Bitcoin is the first plausible proposal for an economic protocol for the Internet.”

“Markets and Clearing Places,” by Fred Wilson of Union Square Ventures: “This is an interesting discussion because it points out that as markets/networks (Uber) replace hierarchies/bureaucracies (the TLC), we are running into issues that are going to have to work themselves out over time. As Albert points out in his post, the current yellow cab fare model is even more flawed than Uber’s surge pricing model. Ideally we will see more supply emerge and a real marketplace structure develop in urban ride sharing. Then we may get reasonably priced rides on a wintery and festive night in NYC.”

“Building Smarter Software: Proactively Deliver Insights,” by David Skok of Matrix Partners: “Three years ago I spent a lot of time looking at SaaS business intelligence companies. I loved what I saw in the demos: easy data connections, slick looking graphs, powerful drill down tools and custom dashboards made the tools look like no-brainers. And then I began my diligence calls. All of these bells and whistles were useful for data analysts I learned, but mostly worthless for regular users. Customers didn’t want to become data analysts, they wanted the software to do the work of the data analyst.”