
Following KOL Pricer, our tweet pricing tool that hit 140K+ impressions, our team just launched our second super practical AI marketing tool: Social Listening! Enter the X account of any product you're tracking, and within 30 seconds you'll get a full breakdown of what real X https://t.co/AAdVqU5kBZ
The Hook
“You know this feeling, trying to figure out what's going on, but by the time you do, it's already gone. DeepSeek V4 just dropped. What's the performance? We Like Social Listening is an AI-powered social listening tool that helps you monitor, analyze, and act on real-time user feedback.”
Problem Agitation
“Type in DeepSeek. You instantly see the sentiment, the heat, and which key moments people are debating, like DeepSeek V4 Pro's permanent price cut.”
Product Reveal
“We Like tells you what action to take, and bring it straight into your meeting. So just ask the AI, you can actually use.”
Feature Teaser
“You want to track when something important happens. We Like Social Listening. Link's in the comments.”
Synthesizable in Remotion · key components of the ai-social-listening-breakdown template.
A picture-in-picture video feed of the presenter is overlaid on the main screen recording, maintaining a consistent position while the main content zooms and pans. The presenter's feed has a subtle, soft-edged border.
Use a <Video> component for the main screen recording and another <Video> component for the presenter. Position the presenter video using absolute CSS positioning (e.g., bottom: 20px, right: 20px) and apply a border-radius for the soft edges. Implement zoom and pan on the main video using `interpolate` for `scale` and `translateX/Y` properties based on the current frame.
Key UI elements, text fields, and data points are dynamically highlighted with a glowing border or a subtle background color change, often accompanied by a simulated mouse cursor interaction.
For highlighting, use conditional rendering or `interpolate` to change `borderColor`, `backgroundColor`, or apply a `boxShadow` to target elements. Simulate mouse cursor movement using `interpolate` for `translateX/Y` of an SVG cursor icon. Text input can be animated using `typewriter` effect or `interpolate` for `opacity` and `scale` of individual characters.
Charts and graphs, such as sentiment donuts or heat maps, animate into view with a drawing or filling effect, revealing data points progressively.
For donut charts, use SVG `stroke-dasharray` and `stroke-dashoffset` properties, interpolating the `stroke-dashoffset` to create a drawing effect. For bar or line graphs, animate the `height` or `stroke-dasharray` of the SVG paths/rects from zero to their final values using `spring` or `interpolate`.
Purpose. Establish the common frustration of missing real-time market insights and the need for immediate data.
Execution. The presenter directly addresses the camera, conveying empathy, while the UI shows a static, unanalyzed state, hinting at the problem.
Purpose. Introduce 'Social Listening' as the direct answer to the pain point, showcasing its core capabilities.
Execution. The UI animates to reveal the initial analysis dashboard, with key metrics like sentiment and heat maps appearing dynamically, demonstrating instant value.
Purpose. Demonstrate the tool's depth, showing how it provides actionable insights and automates reporting.
Execution. The camera navigates through detailed trending topics, strategy reports, and AI-generated draft replies, illustrating the tool's comprehensive analytical power.
Purpose. Highlight the proactive nature of the tool with real-time alerts and provide a clear call to action.
Execution. The 'Smart Alerts' section is showcased, followed by a direct address from the presenter, inviting viewers to try the product, with a clear link provided.
Objective
A new AI-powered code review tool that identifies bugs and suggests fixes in real-time.How the recipe adapts
The dark-mode UI will be adapted to an IDE-like interface, with green accents highlighting code suggestions and bug detections. The picture-in-picture presenter will explain the code review process. Dynamic UI highlighting will focus on lines of code with issues and suggested fixes. Data graph reveals will show code quality metrics and bug severity distributions. Text input simulations will demonstrate entering code and receiving instant feedback. The narrative will agitate the problem of manual code reviews and present the AI tool as the real-time, actionable solution.Scene durations (5 scenes, 133s)
Key Remotion components
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