Sramana Mitra: Springing off your comment about huge amounts of money coming into India, it’s all relative. Even when you started in about 2006, there was too much money and too few deals. At that time, the product entrepreneurship ecosystem was still very nascent. There weren’t really a lot of fundable deals. That is not
Responding to a popular request, we are now sharing transcripts of our investor podcast interviews in this new series. The following interview with Ashmeet Sidana, Engineering Capital was recorded in December 2015. Ashmeet Sidana, Founder of Engineering Capital, a seed-stage venture fund focusing on infrastructure technology, had a lot of insights to offer, and delivered one particular
Sramana Mitra: The other thing that I’ve seen in my career in various instances is, people get software and they don’t usually use it or they don’t have the staff who can take advantage of the capabilities of the software. You deliver the Ferrari and are driving it like a Toyota. In a lot of
Sramana Mitra: Entrepreneurs start up somewhere and they get intoxicated with this funding thing. If they are hitting their stride and everybody is chasing them and offering them money, it goes to their head. They want to keep raising money. If you get to a situation like that, it’s perfectly okay to sell out for
Sramana Mitra: What stage do you recommend people to make that shift in your orbit? Are we talking about getting to a million and then moving to Silicon Valley? We see all kinds of permutations and combinations of this behavior. I’m curious what your thoughts are on this. Brian Jacobs: Rather than a revenue number,
Sramana Mitra: In some cases, the newsroom analogy is probably not the right analogy. Think about a toothbrush brand. That’s now news-oriented. If you think about how to do content marketing for those kinds of brands, it’s a very difficult problem. Ashu Garg: In the newsroom analogy, I’m using the word very loosely. It’s the
Sramana Mitra: Your strategy is to not worry about the ones that are not really making it and will have to raise money with liquidation preference where you don’t have the negotiating leverage. Focus on the ones that will get to decent exit and you need three of those to make your fund economics work.
Sramana Mitra: Media buying has been the most obvious areas which needed to be automated because of the trends that you described. Machine learning applies very well into that space. Can you talk about other areas in marketing technology, where, powered by machine learning, there is venture-scale opportunity? Ashu Garg: I’m going to talk about