content optimization
social media
The projet is a web application that provides data-driven content analysis for posts, offering suggestions and scores based on readability, tone, audience alignment, and engagement potential. Users can leverage insights on how well their content matches their target audience, detect potential areas for improvement, and maximize engagement by optimizing key elements in their messaging.
Ultimately, this project serves as a comprehensive content optimization tool with an intuitive interface, smart content analysis, and performance tracking, allowing creators and marketers to produce impactful content that resonates with their audience.
This project began as a way to improve my social media posts with actionable insights. I used to have a chatGPT prompt that I would adapt given the targeted persona and post objective. Over time, I felt it could be automated using a tool that would analyze the post and provide suggestions without the hassle of finding and adapting the prompt.
Rendering user-generated content without unintended text styling issues (e.g., preventing bold text) was unexpectedly challenging. Ensuring the app could strip styling for consistency required several iterations and tweaks, especially when dealing with emojis or specific Unicode formatting in dynamic content.
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