AI Uptown Funk
Uptown Funk AI Video Generator for 1–5 People
What is AI Uptown Funk?
AI Uptown Funk is an Uptown Funk AI generator for your own consenting crew. It combines a built-in motion reference with separate portraits so you can cast a solo lead, a trio, or a full five-person AI crew dance. The output is a fixed 15-second 16:9 video with beat-synced choreography. Put yourself and up to 4 friends into the street crew. Upload one photo per person, choose a look (keep my look, retro suits, football crew, or wizard crew). 1-3 people use Kling 3.0 Omni ($9.90); 4-5 use Kling 4.0 ($19.90). One-time credits, no subscription. Photos delete after 7 days; finished videos keep 30 days. Independent project; not affiliated with TikTok or the creators of the original trend.
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What other founders did to grow.
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I basically started taking what I thought would be helpful and I started drawing it out in a notebook and I was thinking about the way I wanted the information to be presented... I taught myself how to basically create them as wireframes in Photoshop and Illustrator and then I went to an agency and I could not afford to work with the agency... then at one point a student developer said that he would love to work with me and so that's how I was able to finally launch that first MVP.
Notebook Sketches → Photoshop Wireframes → A Student Developer = MVP
With no technical background, Anya sketched flows in a notebook, taught herself Photoshop and Illustrator to turn them into wireframes, and after being priced out by an agency, partnered with a student developer to ship Rooted. Doing the design and content prep upfront meant the build itself only took a few months.
We ran a test where we had monthly without a trial trying to push people to annual. It did — we did see more people use the annual option. But ultimately long-term it didn't work out. It ended up with a 17% drop in realized LTV.
Removing the free trial on monthly to push annual caused a 17% LTV drop — hesitant users need an on-ramp
The now-common tactic of hiding the free trial on monthly plans to coerce users into annual backfired for Reading.com. Users willing to try a monthly plan but not commit to annual are often moderate-confidence users who convert well over time — removing their on-ramp eliminated them from the funnel entirely. The experiment is a cautionary counter-example for apps with high-consideration purchases where trial friction matters more than annual adoption rate.
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