Flying Car AI
One photo becomes a cinematic car or bike stunt.
What is Flying Car AI?
Flying Car AI takes one photo of a car or a bike and builds a short cinematic stunt video around it. You pick a template first: a 15-second ramp flight, a 6-second side-view kickflip, or an 8-second head-on kickflip. Then you upload a clear side or three-quarter photo that shows the whole vehicle and its wheels. The reference clip guides the camera and the motion. Your photo guides how the vehicle looks. Outputs are silent 16:9 videos at 480p or 720p, and each generation spends credits. Finished clips stay in My creations so you can download them later. This is an independent creative tool. It is not an official Tesla product. The reference footage is only a motion guide, and every generation can differ from that guide.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Apple may clip off a couple percentage of their free users, but what they don't do is take the people that would pay for AllTrails and Flo. Those people do not just stay on Apple — they're trying to look for a premium experience. If you're an app that hasn't innovated, that's kind of just a me-too app sitting at the bottom of the rankings, that's the hardest spot to be.
Build deep and verticalized — broad shallow platform features don't take paying users
Platform sherlocking is frequently overhyped. When Apple adds hiking maps or period tracking it attracts free users but almost never converts the high-intent paying audience — those users seek depth, community, and features no OS-level app will build. The defense is simple: verticalize and go deep. AllTrails adding social features, Flo moving into perimenopause, OnX adding layered maps — these are moats Apple will never bother to match.
can you live your life like it's an experiment you know I think I think science teaches you the best way to live your life... you put things in the bottle boom you know okay didnt work okay messed up clean the lab again
Live the business like a scientific experiment — throw out the failed batches
Borrow the laboratory mindset. Form a hypothesis (this offer / this niche / this channel will work because…), run a small bounded experiment, observe what actually happens, write up the result, and explicitly discard the failed batch instead of dragging it forward. The point of an experiment is not to be right; the point is to update faster than competitors are willing to.
There's a play for whatever you're stuck on.
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