16 Comments
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Christopher Daly's avatar

It’s this broad category of AI that is interesting to me. I lost my co-founder last year due to time constraints from his growing family. So I have leaned into models to write scripts for my database. I can do it, but I save the schema to a project folder, tell them to reference and write a script triggered on X and it’s done faster than I can type.

And that is an important point for me - faster than I can type. No if it can do it as fast as I speak, these tools are going to be a massive growth lever for small businesses gaining traction.

95% of employment is in small business. I think by far the greatest benefit in LLM’s is going to SMBs and their ability to stand up tools quickly.

Good luck on the new pod. I have neglected mine (again) after losing my CTO and picking up the load.

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CJ Gustafson's avatar

We NEED to know what T MOBILE is using all those token on

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Connie Carey's avatar

I really like this format! I learned something new despite being a regular listener of mostly growth already, and I enjoyed the charts.

Also, great strategy sending this on Sunday morning (I know you shared about this on the podcast!). This was the only new email in my primary inbox this morning so it did a great job cutting through the noise.

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Kyle Poyar's avatar

Really glad to hear it! Thanks for listening 🙏

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Rainbow Roxy's avatar

Hey, great read as always. I totally agree with your analysys on the AI adoption slowing down. That Ramp data is defenitely eye-opening.

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Huong's avatar

Loved this post!

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Luch of Truth's avatar

Adoption didn’t slow because AI moved too fast. It slowed because meaning didn’t follow.

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Pawel Brodzinski's avatar

Candidates mass applying with AI.

Companies mass rejecting with AI.

Smartasses trying to trick AI tools to get a (very temporary) edge.

It. Is. Not. Sustainable.

Not that recruitment was an overly healthy process, but we utterly broke it with AI. And it's not like we haven't seen it coming. We've been on this ride for at least a couple of years already: https://brodzinski.com/2025/08/broken-ai-hiring.html

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Kyle Poyar's avatar

💯

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Bridget Winston's avatar

“Starting with Croatia, and then around the globe.” 🤣

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Kyle Poyar's avatar

We're working on it!

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Joann Dobish's avatar

A correction: Monetization "follows" the path to sustainable AI growth.

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Kamran Ayub's avatar

On growing a podcast, we've grown TypeScript.fm organically without any extra promotion primarily using a community-led growth strategy focusing on and elevating community voices. There's a lot of content and thoughts that get posted that are mostly overlooked due to the firehose. We find those and discuss them every week, then make sure to tag and thank people. In other words, we help people feel seen. The marketing logic there is simple which is to leverage other people's audiences when they reshare, or repost, etc since some folks are well-known in the space. And we also intersperse interviews as separate bonus episodes. We just crossed 10k downloads after 50+ episodes. It also helps that we are basically the only Typescript-focused podcast, while others are more general JS or frontend podcasts. And to my knowledge, we are the only ones with a community-led format.

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Michael Rosen's avatar

Great post. On adoption - "Most want to scale those use cases (and optimize credits spend) before taking on more." rings true.

This is consistent with what I've heard from clients - that "We need to get our arms around what this will cost" and "Predicting costs is a lot harder than it was with the cloud."

Who is doing this best?

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Will G.'s avatar

would love your thoughts on some of my stuff. follow me back, I can DM you?

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Hayden Constas's avatar

Hey Kyle, I just graduated and I'm building a tool to automate software documentation, but I'm honestly stuck deciding which use cases are worth pursuing first with early users. Your point about too many use cases and not enough adoption really hit home. Would you be willing to talk or answer a few more specific questions? hjconstas@docforge.net

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