RedditRadar is a fully deployed web application that helps users find unbiased, community-driven product reviews — all in one place.
When researching a product (say, a MacBook Pro), people often turn to Reddit for authentic opinions. But manually searching, opening multiple posts, skimming countless comments, and trying to make sense of scattered feedback is time-consuming and inefficient.
RedditRadar automates this process by collecting, analyzing, and summarizing Reddit discussions into quantitative metrics and actionable insights.
Product research on Reddit gives some of the most honest opinions — but at the cost of effort. RedditRadar simplifies this by:
Aggregating relevant Reddit posts and comments about a product.
Analyzing community feedback using AI.
Turning unstructured qualitative data into structured, quantitative insights.
This saves users time and gives them both data-driven scores and authentic user context.
- Data Collection
When a user searches for a product (e.g., “MacBook Pro”), RedditRadar:
Collects related Reddit posts and comments via Reddit’s API.
Filters for relevant discussions.
- AI-Powered Analysis
Each comment is analyzed and scored out of 5 across four key metrics:
Quality
Utility
Accessibility
Cost
Each comment’s weight is then determined by:
Upvotes
User karma
Time since posted
A final weighted score is calculated to represent the community’s sentiment toward the product.
🔹 Product Dashboard
Displays an overall product score and subscores for each metric.
Shows a quick, digestible summary of community sentiment.
🔹 Relevant Reddit Comments
Shows the most informative and relevant comments.
Each comment is clickable, linking directly to the original Reddit post for context.
🔹 AI Summary
Generates a concise AI-written summary of the top comments for quick reading.
Highlights main themes in user feedback.
🔹 Pros and Cons
Extracts the most common pros and cons of the product.
Each pro/con is clickable, linking to the original comment it was derived from.
🔹 Alternatives
Suggests similar products with their own RedditRadar reviews.
Helps users compare before making a purchase decision.
Frontend: Next.js, Tailwind CSS Backend: FastAPI AI & NLP: OpenAI API (planned: in-house transformer fine-tuning) Data Source: Reddit API Deployment: Vercel
Train and integrate a custom transformer model for comment scoring.
Add topic clustering for comment grouping.
Improve data caching and parallelization for faster API calls.
Expand metrics for more nuanced evaluations (e.g., build quality, customer support).