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Code Story: Insights from Startup Tech Leaders

S11 E17: Jens Neuse, Wundergraph

Code Story: Insights from Startup Tech Leaders

Noah Labhart - Startup Founder & CTO

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

4.6216 Ratings

🗓️ 16 September 2025

⏱️ 44 minutes

🧾️ Download transcript

Summary

Jens Neuse grew up in Germany, originally planning to be a carpenter. In his 2nd year as an apprentice, he was in a motorcycle wreck that thrust him into a process of surgery and healing. Eventually, he decided he wouldn't be doing carpentry, and got into sysadmin work. Once he got bored with this, he moved into startups, learned how to code, and starting digging into programming, API's and eventually - GraphQL federation. Outside of tech, he is married with 3 young kids. He loves to sit ski on the mountain - which is the coolest carbon fiber chair on a ski, where you steer with your knees and hips.

After chasing building a better Apollo, Jens and his team ran into a point where their prior product and company was doomed to go under. When they accepted this fact, they started to think about what people actually wanted - and started to dig into the federation of GraphQL.

This is the creation story of Wundergraph.

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Transcript

Click on a timestamp to play from that location

0:00.0

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

0:03.0

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

0:07.0

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

0:11.0

And my mind is blown.

0:14.0

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

0:17.0

Built around the core of the Product Roadmap Radar, i.e. code and Jira analysis, they are building

0:22.9

agent orchestration across the product lifecycle. Picture this. You hook up this system same as before,

0:28.9

i.e. integrate your repository and your backlog, Jira today. From that point, Seamus agent

0:33.7

analyzes the code base and makes suggestions as to what needs to be done next and what

0:38.9

could improve, optimize the product. Then, if those tasks are routine, the agent assigns the

0:44.8

task to a coding agent, think something like Devin, to complete the minutia while assigning

0:50.1

the human-in-the-loop tasks to engineers themselves. What you end up with is engineers focusing on building core competency features,

0:58.0

while AI handles all the rest.

1:00.0

If you're not salivating right now, I don't think you fully understand what this means.

1:04.0

But here's what I would suggest.

1:06.0

Right now, their product is in a closed beta,

1:08.0

and SEMA is looking for folks to sign up for their product intelligence

1:11.6

advisory board. This gives you the opportunity to use the product, give feedback, help shape the future

1:16.8

of what's built, oh, and not to mention additional free usage of the product potentially through the end of

1:22.5

2026. So if that fits your workflow and toolset, you need to reach out today.

1:28.8

Go to codestory.co slash next level, N-E-X-T-L-E-V-E-L, and reach out to Matt at Seema to learn more

1:37.4

and join the Product Intelligence Advisory Board.

...

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