AI Video Trend

AI Video Trend

Recreate viral AI videos in seconds

Coming soonLaunches Monday, Nov 30 · in 28 days

AI & Machine Learning

What is AI Video Trend?

AI Video Trend lets you recreate the latest viral AI video effects. Upload one or two photos, pick a template, and generate a short cinematic clip powered by Seedance 2.0, ready for TikTok and Reels.

Turn photos into viral AI video trends such as Ramalama, Crazy Frog, and Zombie Love Story. Recreate viral AI videos in seconds.

Pricing is freemium, from $6.99. The product website is https://aivideotrend.net/.

PricingFreemium

Publisher

Joined Oct 2026

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FounderPlaybooks.

What other founders did to grow.

2722 dispatches from hundreds of founders, pulled from the week's best podcasts.

Pricing
by separating out we were able to really basically get licensed to go and try out a variety of different pricing and packaging in a really unique and useful way... 11 reader they don't think in terms of credits and tokens... Jack was able to really align the costs to an hour's sort of experience

Separate apps unlock distinct pricing per ICP without compromise

Running two separate apps let ElevenLabs offer radically different pricing models to different ICPs. The flagship app uses credits and characters that power-creator users understand, while Reader prices by listening hours, which maps to how consumers think about audiobook consumption. A single app with one pricing model would have forced an awkward compromise; separate apps allowed pricing clarity for each audience.

Shipping
you need to develop experimental confidence so just just post but with intention so I have a big problem with when people are like just start like just get started... if you post with intention then post whatever you want but pay attention to how does it feel how do I feel after I posted that is anybody responding what questions am I getting like have people asked me something that is making me realize I need to clarify something more

Develop "experimental confidence" — post with intention, then refine

"Just ship" with no intention produces noise. "Don't ship until perfect" produces nothing. The middle is experimental confidence: every post has an explicit hypothesis (audience, angle, expected response), and after publishing you observe — what landed, what didn't, what follow-up questions surfaced. Post → observe → refine, on the same artifact. That feedback loop replaces perfectionism with iteration.

There's a play for whatever you're stuck on.

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