S11 Bonus: Tanmai Gopal, PromptQL

Code Story: Insights from Startup Tech Leaders

Noah Labhart - Startup Founder & CTO

Tech News, News, Business, Technology, Entrepreneurship, Careers

4.6 • 216 Ratings

🗓️ 23 October 2025

⏱️ 39 minutes

🔗️ Recording | iTunes | RSS

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Summary

Tanmai Gopal is a repeat guest on the podcast. Back in Season 7, he came on to tell the creation story of Hasura, which is a universal data access layer for next generations apps. He talked through he and his colleagues frustration with building API after API, and taking steps to ensure people wanted to not do that work anymore.

As Hasura started to take off, Tanmai started to ask the question around what was the right method for developers, in particular their applications, to access data. With the advent of AI, he and his team dug into what the right problems were to solve - and they identified the main problem with this type of tech was accuracy and trust.

This is the creation story of PromptQL.

Transcript

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0:00.0	This episode is sponsored by CodeCrafters. As an engineer myself, I know that the best way to learn how to code is to build something new. But sometimes it's hard to come up with project ideas as well as find a community of folks on the same learning path. That's where CodeCrafters comes in. With CodeCrafters, you can build something that actually stimulates your mind while strengthening your engineering fundamentals.
0:23.8	And you can do so by using your favorite IDE or tools to code and build your own Git, Redis, or HTTP server in the language of your choice.
0:32.7	Languages like Rust, C++ or Go.
0:36.0	CodeCrafters is designed to optimize your learning experience as it's designed for productivity.
0:41.9	Sign up today and become a better, more confident programmer.
0:45.1	Visit codestory.co slash codecrafters.
0:47.9	That's C-O-D-E-C-R-A-F-T-E-R-S to get started and get 40% off your upgrade.
0:57.0	Okay guys, I got a serious update for you.
1:01.0	You heard me talk about C-M-A and the Product Roadmap Radar.
1:04.0	I just caught up with Matt, who's the founder there, and he gave me the latest on what they are building.
1:09.0	And my mind is blown. The team at SEMA are taking
1:13.1	things to the next level. Built around the core of the product roadmap radar, i.e. code
1:18.1	and Jira analysis, they are building agent orchestration across the product lifecycle.
1:23.5	Picture this. You hook up this system same as before, i.e. integrate your repository and your
1:28.3	backlog, Jira today. From that point, CMA's agent analyzes the code base and makes suggestions
1:33.7	as to what needs to be done next and what could improve, optimize the product. Then, if those tasks are
1:40.2	routine, the agent assigns the task to a coding agent, think something like Devin, to
1:45.4	complete the minutia while assigning the human-in-the-loop tasks to engineers themselves.
1:51.0	What you end up with is engineers focusing on building core competency features while AI handles
1:56.4	all the rest. If you're not salivating right now, I don't think you fully understand what this
2:00.8	means. But here's what I would suggest. right now, I don't think you fully understand what this means.
2:01.7	But here's what I would suggest. Right now, their product is in a closed beta, and SEMA is looking
	...

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