
Sistema visual
Pop music video with a halftone portrait overlay
Canvas, AI image · 16:9 · 5:06
por anabology

<inputs> Ask me for: the product name and a one-line promise, 3 to 5 UI moments to show, one accent color, 10 to 20 real vertical clips I own, and a royalty-free song with a clear drop (e.g. Mixkit, free for commercial use). </inputs> <direction> High-end minimal. One idea per shot, lots of empty space, one accent color, one clean sans (Geist or Inter) with tight tracking. Masked type reveals, match cuts, one smooth camera language. Real footage only, never placeholder cards. No full stops in on-screen text. Banned: shockwave rings, particle bursts, RGB split, camera shake, lens flares, neon glows, grid floors, flashing backgrounds, bouncy easing. </direction> <structure> 10 bars at 120 BPM, 2 seconds each. Bar 1: the hook lands word by word on the beats. Bar 2: one hook word morphs into the product UI. A cursor types and clicks. The drop: a circle opens out of the button into a dark scene. Then one move per bar: a wall of real clips with a scan line and 3 winners, the key output as big type, a 3D carousel of real videos with floor reflections and a motion-blurred whip onto one hero clip, the hero in a phone next to a panel that flips into results, big stats on push cuts, a 3-word ticker, a logo reveal, a fade to black. </structure> <build> 1. One HTML file at 1920x1080. Every style is computed from time inside window.seek(t): no CSS animations, no timers, no state between frames. 2. Real video: extract clips to 30fps JPEG sequences with ffmpeg and swap img sources per frame. seek awaits the image decodes. 3. Analyze the song with numpy: tempo, beat grid, energy per bar, the drop. Calibrate the grid to the real kick hits. Every cut sits on a downbeat, every UI hit on a beat. 4. Render with Playwright: 3 subframes per frame at t minus, at, and plus 1/240s, then blend with ffmpeg tmix for real motion blur at 60fps. 5. Place each sound effect so its measured peak, not its file start, lands on the event. Keep the effects quiet under the music. Loudnorm to -14 LUFS. 6. Probe 20 or more frames before the full render. Fix anything cluttered, overlapping or hard to read. </build> <gotchas> Never set opacity or filter on a preserve-3d element, because it flattens and both faces show. Fade its wrapper instead. Measure element positions at runtime for match cuts. Only use music and sound effects whose license allows commercial use. </gotchas> <start> Ask me for the inputs, then show me a storyboard with every timing on the beat grid before you write any code. </start>

Sistema visual
Canvas, AI image · 16:9 · 5:06
por anabology
Sistema visual
Claude Opus 5.5, JavaScript · 16:9 · 2:22
por donaldjewkes
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Videos use credits when you export, and starting one needs a balance that covers its export. Counts assume a 30-second product demo and a 60-second explainer with narration and 3 illustrations.
Cómo se hizo Product Hunt launch loop replays buyer questions put to ChatGPT, qué dice su prompt y cómo crear un vídeo Sistema visual parecido con Potto.
Product Hunt launch loop replays buyer questions put to ChatGPT es un video de motion graphics de Sistema visual de RaphaelAubryy. A looping motion graphic showing buyer questions put to ChatGPT for a Product Hunt launch.
Product Hunt launch loop replays buyer questions put to ChatGPT se hizo con HTML y FFmpeg. Forma parte de la colección Sistema visual de videos de motion graphics con IA en Potto.
Sí. El prompt completo de Product Hunt launch loop replays buyer questions put to ChatGPT está en esta página. Cópialo o haz clic en Usar este prompt para abrirlo en el espacio de trabajo de Potto.
Product Hunt launch loop replays buyer questions put to ChatGPT dura 0:20 en un marco 16:9.
Sí. Haz clic en Usar este prompt para cargar el prompt de Product Hunt launch loop replays buyer questions put to ChatGPT en el espacio de trabajo de Potto. Potto renderiza su propia versión, y puedes cambiar el texto y el estilo antes de exportar.
Product Hunt launch loop replays buyer questions put to ChatGPT lo publicó primero su creador. Haz clic en Ver original para abrir esa publicación en una pestaña nueva.
Explora la colección Sistema visual en Potto: 480 videos, cada uno con su prompt, especificaciones y fuente.