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software as content is the most underexplored, highest potential opportunity right now.
what i'm seeing right now in terms of AI-generated videos and apps mirrors exactly what i observed and studied about tiktok's rise to dominance.
on the surface, it may seem like tiktok’s earliest wave was driven by dancing. in reality, it was driven by accessibility: it gave users a clear format, a song, a trend, a shared visual language.
everyone could easily participate. you didn't need to be famous or particularly good dancer. you just needed to show up, try it, and post it — and all you needed was your phone and the tiktok app.
tiktok lowered the barrier to creativity by making experimentation feel intuitive, fast, and social.
since those early days, the creative aperture has widened. we've seen an explosion of new video (and now carousel!) trends proliferate: GRWM videos, DIML videos, how it started vs. how its going, pepe the prawn king stories, man of the year, etc.
with AI, we're seeing the same pattern happen again but now across apps and media.
tools like suno, ohara, runway, replit, veo, etc. have turned content creation into prompt-based creative exploration and play. people are spinning up apps, webpages, music, videos, memes, etc. these are not polished projects, but expressive and creative experiments.
AI is doing for software and media what tiktok did for video content. it’s lowering the bar, speeding up iteration, and turning more people into creators. now anyone can create a software experience that is lightweight, interactive, and shareable without needing technical mastery.
AI is doing for software and media what tiktok did for video: lowering the bar, accelerating iteration, and turning spectators into creators.
and when you combine the two (generative video and generative apps), you start to see something powerful: built-in infrastructure for creativity and distribution.
we’ve already seen glimpses of this with tiktok effects: green screen, face morph, the do-re-mi filter. they were creative building blocks. effects like these sparked entire viral trends because they were easy to use and fun to remix.
AI tools today work the same way. a single model can kick off a wave of content. a new aesthetic, a format, a meme. we saw it with the studio ghibli-style AI videos that took over timelines. we’re seeing it now with suno tracks and animals-doing-olympic-sports becoming go-to sounds or videos for tiktok and reels.
and we also saw this happen on farcaster. remember when @jc4p did the builder alignment chart app? or when @aneri.base.eth did the hogwarts sorting hat app?
early tiktok creators tested what worked using songs, dances, and effects. today’s AI-native creators are doing the same with prompts, tools, and interactive media.
the platforms are different and the tools are more powerful, but the behavior (experimentation, participation, and distribution) is the same.
we need to lean into existing user behaviors. 8 replies
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