
flowstate-cua is a 155 GB dataset for training AI agents on fluid and heat simulations, with 8,260 worked examples and 269,058 interactions.
The Hook
“(No spoken dialogue — Driving electronic beat with pizzicato synths and sub-bass drops.)”
Problem Agitation
“(No spoken dialogue — Electronic beat continues with a subtle build-up.)”
Product Reveal
“(No spoken dialogue — High-energy audio transitions with risers and impactful sub-bass drops accompany scene changes.)”
Call to Action
“(No spoken dialogue — The electronic beat maintains its energy, concluding with a final impactful sound design element.)”
Synthesizable in Remotion · key components of the tech-product-ui-showcase template.
A line animates from left to right, appearing beneath a headline, followed by the headline text fading or sliding in. This creates a clean, focused introduction for key information.
Use Remotion's <AbsoluteFill> for layout. Animate a <Line> component's width using `interpolate` with `spring` for a smooth, elastic reveal. Follow with a `Sequence` to animate the text opacity or `translateX`.
Large numbers animate up or down to their final value, often accompanied by a color change or a subtle glow, emphasizing key statistics. This is used for dataset size and interaction counts.
Implement a custom React component that takes a target number. Use `useCurrentFrame` and `interpolate` to animate the number's value over time. Apply a `spring` for the final bounce. Text color can also be interpolated.
Specific elements within a software UI (like buttons, input fields, or data tables) are highlighted with a bounding box or a subtle glow, drawing attention to the interaction points. Text labels for key presses appear dynamically.
Overlay transparent `<div>` elements with `border` or `box-shadow` properties animated using `interpolate` for opacity and scale. Use `Sequence` to time the appearance of associated text labels (e.g., 'key ctrl+a') with a `spring` animation for position.
Purpose. Introduce the dataset and its purpose, establishing its scale and utility for AI agents.
Execution. Product name reveal, followed by animated statistics (8,260 examples, 269,058 interactions) and a quick overview of the data's components (tasks, screenshots, actions).
Purpose. Present a concrete problem that the dataset helps solve, demonstrating its practical application.
Execution. A specific task (e.g., 'how much of this domain is above 320 kelvin?') is posed, setting up the subsequent demonstration.
Purpose. Walk through a time-compressed demonstration of using the dataset within simulation software to solve the posed problem.
Execution. Numbered steps (select hot cells, measure volumes, calculate fraction) are animated, with UI elements highlighted and key presses shown, culminating in the final numerical answer.
Purpose. Direct users to where they can access the dataset and provide necessary licensing information.
Execution. Clear display of the download URL (Hugging Face), reiteration of key statistics, and MIT license information.
Objective
Launch a new AI-powered code refactoring tool called 'CodeFlow'.How the recipe adapts
The 'CodeFlow' video would open with the product name using DynamicTextUnderlineReveal. Key features like 'Automated Bug Fixes' or 'Performance Optimizations' would be introduced with similar text animations. Instead of ParaView, the UIElementSpotlight primitive would highlight specific code editor elements (e.g., a 'Refactor' button, a highlighted code block showing changes). NumericalCounterHighlight would showcase metrics like '95% Code Quality Improvement' or 'Reduced 10,000 Lines of Boilerplate'. The fast-cut rhythm would emphasize quick, efficient refactoring actions, synchronized with driving electronic music. The call to action would direct users to a 'Try CodeFlow Now' link.Scene durations (4 scenes, 40s)
Key Remotion components
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