Know the problem your startup is solving. That way, your startup won’t waste time chasing the wrong thing. That’s advice from serial startup founder Marty Kagan, cofounder and CEO of @HydrolixInc a Portland startup that offers the world’s first “streaming data lake” for applications requiring massive amounts of data — like AI.
- 00:00 Startup stories cold open
- 00:21 What does your startup do?
- 01:35 [BONUS] What is a streaming data lake?
- 02:19 What inspired you to work on this problem?
- 03:10 [BONUS] How has the AI era impacted your startup?
- 05:12 What’s one piece of advice you’d give to startup founders?
- 07:05 What’s one resource you can’t live without?
- 09:28 How can we be helpful?
Hydrolix is a streaming data lake optimized for log-intensive use cases that offers both real-time and historical analytics at scale. Hydrolix combines the flexibility and cost benefits of a data lake with low-latency query performance, even on trillion-row datasets.
Instead of worrying about day-to-day operations, you can build real-time analytics applications, collect training data for machine learning models, or build dashboards to monitor and secure the infrastructure crucial to your business.
