This episode is brought to you by Paddle. As a startup, you face unique challenges to stay competitive.

You and your team need to stay focused on your product, not your payments. You need to do more,

M-O-R, and DIY less with Paddle. Paddle is your merchant of record, becoming the seller of record

for your SaaS transactions, enabling your team to focus on what's important, your product.

Battle handles all payment management across multiple gateways and methods,

taking ownership of tax liability while remaining compliant with regulations across all markets.

The platform handles all aspects of SaaS billing, billing models, upgrades,

add-on, trials, and more. Let's look at the results. M-O-R revenue optimization is built

into paddle and accounts for up to 16% higher conversion rates, reduced payment failures,

localized pricing, and churn prevention, recovering 40% of cancellations.

Their developer-friendly tools are API-first with comprehensive documentation, removing the

burden from your engineers. With Paddle, as your merchant of record, you'll generate more

revenue, find and keep more customers, grow faster, and stay stay compliant everywhere so what are you waiting for

get more revenue with less hassle at paddle dot com okay guys i got a serious update for you you heard me

talk about seema and the product roadmap radar i caught up with Matt, who's the founder there,

and he gave me the latest on what they are building. And my mind is blown. The team at SEMA

are taking things to the next level. Built around the core of the product roadmap radar,

i.e. code and Jira analysis, they are building agent orchestration across the product lifecycle.

Picture this. You hook up this system, same as before, i.e. integrate your repository and your backlog, Jira today.

From that point, CEMIS agent analyzes the code base and makes suggestions as to what needs to be done next and what could improve optimize the product.

Then, if those tasks are routine, the agent assigns the task to a coding agent, think something

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

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