AI-first startup ideation and distribution playbook

Look for stories that were previously too expensive to tell.

AI collapses the cost of storytelling, unlocking new media formats in places that never justified human production—e.g., turning every internal meeting into a 3-minute podcast summary.

Why: When marginal cost approaches zero, the TAM expands to any context where richer context has value but budgets were prohibitive.

"I think the thing that is true about this wave of AI is it's taking storytelling and it's making it way cheaper than it has ever been before... looking for places where there are stories to tell that were previously too expensive, is like the... total addressable market of this sort of idea."

Use personal N-of-1 datasets to bootstrap a marketplace.

Post your own health or business data with a bounty; once it works for you, invite others with similar problems to post theirs, creating a Kaggle-for-individuals.

Why: Individual predictive models sidestep the need for large-scale studies and let people pay for direct personal benefit rather than generalized science.

"it's a new way of doing science... making predictive models for individuals for N of 1 that just like solve the problem and just help us like basically predict the problem and worry about the generalized scientific explanation later."

Charge per successful task or usage, not flat subscriptions.

Metered pricing aligns cost with value received and avoids subscription fatigue; examples include per-download for AI-generated podcasts or per-prediction in data bounties.

Why: Users are saturated with $9.99 monthly charges; outcome-based pricing feels fairer and scales naturally with customer size.

"I think that's a new trend in the AI pricing realm is not charging per month, but charging per successfully completed task or something like that. I think that's going to work really well."

Re-luxurize what AI makes cheap.

When AI drives commodity content to zero, create scarce, handmade, or limited-edition versions and charge premium prices—e.g., artisanal physical books with AI-enhanced digital companions.

Why: Technology shifts push mass-market items into luxury status symbols (Broadway plays, mechanical watches); the same will happen to AI-generated media.

"I think books... need to go back to being really well, beautiful, well made, beautiful like luxury goods and that you charge a lot for."

Build the media audience before the product.

Spend years writing or creating videos about problems you personally care about; the resulting audience of like-minded people becomes the first 1k-10k users for any tool you launch.

Why: AI resets the product playing field, but attention is still scarce; owning an engaged niche gives you free, instant distribution that incumbents can’t replicate without alienating their base.

"we think about it, is actually distribution first and then build something second... we build things for ourselves. And then we have an audience of people who are like us, so they probably want it."

Use YouTube as the top-of-funnel in 2025.

Start with short-form or long-form video, then funnel viewers into an email list; segment by source video to send targeted invites to new AI tools.

Why: Newsletter growth is harder than five years ago; YouTube still offers algorithmic reach and converts well to owned email.

"I'd probably start with YouTube actually... funnel people from YouTube into a newsletter."

Design for interruptible, conversational voice interfaces.

Unlike IVR trees, let users pause and ask clarifying questions mid-stream; the AI host “comes out of the wall” and becomes a real conversational partner.

Why: Voice is natural when it mimics human dialogue; forcing users to remember long option lists breaks the illusion and increases cognitive load.

"you can interrupt it and be like, wait, well, I didn't get that. And then it will just have a conversation with you... it's sort of like that meme, but like they come out of the wall and they become real people for a second."

Anti-AI products are a rising opportunity.

College students and parents are purchasing tools that deliberately exclude AI (e.g., Light Phone, The Brick) out of job-market anxiety or desire for focus.

Why: Every technological wave creates a counter-wave valuing scarcity, authenticity, or human-only craft; early movers can brand themselves as the “organic” alternative.

"there's a huge opportunity to build anti-AI products... a lot of college students are anti-AI... they see it as like, oh, I don't like this thing because I'm competing against it."