Would joining the community help me with my AI-assisted podcast clipping business?
Yes, of course. I recommend refactoring your internal flow that generates these clips. Video processing doesn't need to take 70–90 minutes if you parallelize. For heavy workloads, people often rent a high‑core VPS (not a full supercomputer) with fast network storage, using saved configurations or code that pulls the video quickly. This lets them parallelize, run the jobs, and finish in about 5 minutes instead of 2 hours on a personal computer. To scale, turn this into a real podcast offer that saves time per client—it's easy and simple. Besides that, focus most of your time and energy on outreach, as most people do. Nick notes that there's still an overhang between what people think AI can do and what it actually can't.
Simple and straightforward: I would have AI break down long-form clips into short-form clips. I would target preferentially long-form platforms like LinkedIn, full-length X videos and X podcasts, and obviously YouTube videos like mine. I would build three major systems: a video-to-text-post converter, a video-to-static-image converter, and a video clipper. Video-to-text-post converter is pretty straightforward — we've been able to do that for a very long time — you take content that resounds within the transcript of the main piece of long-form content and cut it up for X, Instagram, whatever else. Video-to-static-image is basically the same thing, but there are really strong formats right now where people take what is said in a video transcript, cut it up into really high-ROI segments — the best parts — and turn those into notes that look handwritten. Ormozy did this, a bunch of other guys do this, it's a very common thing to do. Video clipping is where you take the transcript but also identify silences, and use both of those to feed into an AI model to cut at specific moments. You can then add effects, make the card half as tall, put yourself in the bottom half and have visuals and research on the top half. AI can actually do all this stuff now basically completely autonomously.
No, I wouldn’t start a daily updates channel just for the sake of it. I do it now because my own work—running a scrappy AI automation business—is inherently interesting to watch; it’s like seeing a vlog of someone operating at a high profit level that few people achieve. For most people, watching them wouldn’t be interesting unless they’re already skilled at what they do. Running the channel takes extra time (20‑30 minutes daily) that could be spent elsewhere, but I keep it because the distribution and personal accountability it creates are valuable, and there’s a large potential payoff later as people see my consistent effort over months or years. That said, I appreciate when others start their own channels—like the one set up for me posting daily short Q&A clips—or when they share feedback, clipping content, or experimenting with formats (vertical videos, podcast clips). I’ve seen others, such as Marlon, launch similar channels and grow to around 100 subscribers. I’m open to tips, but I think the current approach is solid. I’m currently bottlenecked for taking calls, so I don’t see near‑term upside in spending time on them. Instead, I’d prefer an affiliate arrangement: if you join Maker School and create clips on channels like this, you can earn money when those clips drive sign‑ups, plus a flat CPM payment for views. This aligns incentives and creates a win‑win. I’ve already answered similar questions about the channel before, so I’ll keep it brief.
I already had a couple of ideas. I'm going to create docs new and turn reduction community exclusives. The first thing I want to do is create a straight line path to optimize video outreach: cover camera, microphone, video content, what to talk about, how to annotate, other assets to give people, maybe an example script. I've already covered this stuff in other videos and my channel; I'm organizing it for high perceived value because many people struggle with it. I'll go through comments on the daily updates channel to find big sticking points and add them to my thing, then decide what my videos will be about. I'll scroll through comments to source ideas. Leonardo commented on my stuff; he runs AI Foundry, has 19K subs, his videos go viral; he does banger one-offs, kudos to him.
You can sell the podcast repurposing engine to anyone who has a podcast. Start by scraping podcast directories (Apple, Spotify, Google search) for the first 100 pages, turn those into distinct links, enrich the email addresses, and pitch directly. In your pitch say you've repurposed 10 of their episodes, mention you love a specific show, highlight something they discussed, and explain how repurposing could make them more money—offer to send 10 free clips (don't include a link in the first email; if they want them, let you know and you'll send all 10 for free). If they show interest, let them know you provide this as a service, offer 50 free clips up front, and discuss a pricing package if they like them. Sending this to a thousand podcasters will get a good response because the market is very underserved.