Victor Szczerba. He’s the co-founder and CEO of Yeti Data, solving big data problems for customers. Prior experience includes running product strategy at the data division at SAP. He was a McKinsey consultant and sales VP for Tadpole Computer and Utopy.
Time Stamped Show Notes:
- 01:44 – Nathan introduces Victor to the show
- 02:14 – Yeti Data makes virtual data warehouses
- 02:30 – Yeti Data’s model is an enterprise SaaS model
- 02:45 – An average customer pays Yeti Data $250-500K a year
- 03:02 – “We love universal usage of our data with inside of the customer”
- 03:19 – Clients get data from their customers’ behavior
- 04:24 – AI is a blanket term and machine learning is something very specific
- 05:08 – Victor shares how machine learning works and they put in details manually
- 05:52 – In digital marketing, there are ways to understand the customer and their purchasing behavior, but it still can be tricky
- 06:47 – Yeti Data currently has around 5 customers
- 07:07 – Yeti Data is close to reaching an $800K, ARR mark
- 07:31 – Yeti Data was launched 3-4 years ago and was in development mode for the first few years
- 07:50 – Yeti Data raised capital for RND and they’ve been really lean
- 08:07 – It was a convertible note
- 08:31 – 4% interest and 10% discount with a teaser for the second round
- 09:18 – On pre-revenue, Yeti Data has 3 core people and some consultants
- 10:03 – Amazon and Walmart have a software that is similar to Yeti Data
- 10:39 – Some companies that are in competition with Yeti Data are IBM and HP
- 11:08 – Yeti Data created a way to virtualize their data connections
- 12:00 – It is still too early for Yeti Data to have their metrics
- 13:00 – A good ARR of a million bucks can get Yeti Data to a good series A
- 14:30 – The Famous Five
3 Key Points:
- Regardless of how congested your market is, you can still find a way to stand out.
- Use your competition as motivation to push harder.
- Focus in on what you’re good at.
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