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Code Story: Insights from Startup Tech Leaders

S11 Bonus: Dr. Alex Kihm, POMA AI

Code Story: Insights from Startup Tech Leaders

Noah Labhart - Startup Founder & CTO

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

4.6216 Ratings

🗓️ 28 August 2025

⏱️ 37 minutes

🧾️ Download transcript

Summary

Alex Kihm just turned 40, and has been into computers for 36 years. He was given his first hand me down computer at the age of 4 by his parents, and also grew up with lego bricks and building things. He is an engineer by training, but eventually switched to econometrics on the big data side. Outside of his professional life, he is married and describes himself as water affectionate. He enjoys swimming, diving - and free diving. In fact, he studied diving during his semester abroad. His free diving is mainly a hobby, but he has deep respect for the professional free divers of the world.

At his original startup, Alex started to dive into LLMs and immediately ran into RAG (Retrieval Augmented Generation). When he observed the wrong information being returned, along with a ton of resource consumption in the process - IE cost - he set out to solve the problem, and figured out the solution was in the chunks.

This is the creation story of POMA AI.

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Transcript

Click on a timestamp to play from that location

0:00.0

This episode is brought to you by Paddle.

0:02.5

Don't settle for less when you can have more M-O-R with Paddle, your merchant of record.

0:08.1

Eliminate the headaches of payments, grow your revenue everywhere, and focus on what you do best, building your product.

0:14.3

Get more revenue with less hassle at paddle.com.

0:19.6

Okay, guys, I got a serious update for you.

0:22.2

You heard me talk about SEMA and the Product Roadmap Radar.

0:25.8

I just caught up with Matt, who's the founder there, and he gave me the latest on what they

0:29.6

are building, and my mind is blown.

0:32.9

The team at SEMA are taking things to the next level.

0:36.3

Built around the core of the product roadmap

0:38.0

radar, i.e. Code and Jira analysis, they are building agent orchestration across the product

0:44.0

lifecycle. Picture this. You hook up this system, same as before, i.e. integrate your repository

0:49.3

and your backlog, Jira today. From that point, S Seamus agent analyzes the code base and makes suggestions

0:55.2

as to what needs to be done next and what could improve, optimize the product. Then, if those

1:01.1

tasks are routine, the agent assigns the tasks to a coding agent, think something like Devin,

1:06.7

to complete the minutia while assigning the human-in-the-loop tasks to engineers themselves.

1:12.3

What you end up with is engineers focusing on building core competency features while AI

1:17.3

handles all the rest. If you're not salivating right now, I don't think you fully understand what

1:22.0

this means. But here's what I would suggest. Right now, their product is in a closed beta,

1:26.4

and SEMA is looking for

1:27.8

folks to sign up for their product intelligence advisory board. This gives you the opportunity

1:32.5

to use the product, give feedback, help shape the future of what's built, oh, and not to mention

...

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