Sramana Mitra: Of the 2,500 customers, what is the split? How much is enterprise? How much is mid-market? How much are hobbyists? Chris Nguyen: 20% are the mid-market up. We’re slowly moving towards the enterprise side. Every year has been an evolution.
Sramana Mitra: There’s a lot of stuff that you said that we can double-click down on. Can you talk us through a case study of a company that you’ve invested that found significant go-to market leverage through the Citi customer base? Matt Carbonara: There’s a company that we’re invested in called High Radius. They factor
Entrepreneurs are invited to the 478th FREE online 1Mby1M mentoring roundtable on Thursday, March 26, 2020, at 8 a.m. PDT/11 a.m. EDT/4 p.m. CET/8:30 p.m. India IST. If you are a serious entrepreneur, register to “pitch” and sell your business idea. You’ll receive straightforward feedback, advice on next steps, and answers to any of your
Chris Nguyen: There are trends that are happening today that provide value for LogDNA. One is the amount of data is growing exponentially. It is huge. Trend number two is that data is fragmented. Because of the evolution of DevOps, containers, microservices, and data is super fragmented. To be able to pull that information into
Responding to a popular request, we are now sharing transcripts of our investor podcast interviews in this new series. The following interview with Matt Carbonara was recorded in March 2020. Matt Carbonara, Managing Director at Citi Ventures, discusses the fund’s activities and focus.
Elly Truesdell is Partner at Almanac Insights, a fund focused on food related investments. We have a fascinating conversation.
The DevOps world is fast moving towards total automation and self-correction. However, the holy grail is still another 3-5 years away. How do we get there? A fascinating conversation with Chris Nguyen who is steeped in building the data infrastructure necessary to run AI/ML algorithms subsequently. Great interview, short and punchy.
This feature from The Washington Post maps the spread of the coronavirus in the US and worldwide. It helps identify patterns in infection clusters and timelines. For this week’s posts, click on the paragraph links.