The Data Stack Show

Highlights from this week’s conversation include:

• Peter's background and journey in data (0:26)
• Introduction to PLG (4:18)
• Starting in data at Heroku (6:05)
• Building the data stack at Heroku (8:13)
• Data stack requirements for early-stage companies (12:00)
• Differentiating PLG companies from open source companies (19:26)
• Venture capital and open source as a lever for growth (22:56)
• Initial data modeling and analysis (25:38)
• Operationalizing Data (29:16)
• Sales and Marketing Operationalization (31:52)
• Identifying Signals (34:16)
• Challenges in Developing Signals (37:07)
• Account Management for Developer Tools (42:30)
• Challenges in Achieving Margins (45:02)
• Leveraging Infrastructure for Margins (47:35)
• Inference vs Training (54:55)
• Final thoughts and takeaways (57:02)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

On this week’s episode of The Data Stack Show, Kostas Pardalis and Eric Dodds are joined by Slapdash co-founder Ivan Kanevski. Slapdash describes itself as the operating system for work. Slapdash emphasizes reducing the time people spend controlling their computer in relation to the time they spend expressing their intent.

Key topics discussed were:

• Starting Slapdash and expanding on tools from working at Facebook (3:31)
• Being client agnostic and working with the tools that people bring to the job (7:35)
• Distinctions between mouse-centric and keyboard-centric users (12:58)
• Slapdash’s approach to collecting data (16:08)
• Building Slapdash to scale and using Postgres (19:45)
• Using a graph model and a focus on efficiency (24:50)
• Challenges of reducing latency (29:35)
• Opening up Slapdash to be programmable (38:17)

The Data Stack Show is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.