Angelina YangFounder and Host, TwoSetAI · AI builder for visibility and discoverability

This AI company has 40 people and zero data team

18 Sept 2026 · 0 min

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0:29

In this segment, the speaker contrasts the challenges of data problems with those of code changes. While deploying millions of coding agents quickly becomes impractical because users would be overwhelmed by frequent UI modifications, data agents can be scaled to massive numbers because they merely observe data and generate insights without directly altering the user experience. This scalability enables virtually unlimited appetite for insight generation across every customer and data corner, highlighting a strategic advantage of data‑focused AI agents over traditional code‑centric approaches.

What's actually different about data problem compared to code? At a certain point, 1 million coding agents isn't useful because the user shouldn't see 100 changes a day to like the feed page. The appetite and utility of that is almost unlimited. I actually can have 1 million agents looking at like every customer or like every corner of the data because you're no longer constrained by I'm actually making a change to the customer, purely like looking at the data, trying to formulate some insight on it, and then giving it back to the user.