Reputation Guardian

AI-powered reputation monitoring that tracks public sentiment across Reddit discussions in real time, helping brands protect, understand, and enhance their online image effortlessly.

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Inspiration

The core inspiration behind Reddit TLDR stemmed from the challenge of efficiently extracting meaningful insights from the vast and often overwhelming amount of information on Reddit. Manually sifting through hundreds or thousands of comments to gauge public opinion, understand sentiment, or identify key discussion points is incredibly time-consuming and inefficient. We aimed to automate this process, providing a clear, concise, and AI-powered overview of sentiment and key talking points on any given topic, thereby empowering users to quickly understand public perception without the manual effort.

What it does

Reddit TLDR (Reputation Guardian) is an AI-powered reputation intelligence dashboard built on top of Reddit. It allows users — whether individuals or brands — to track mentions of their name or keywords across Reddit, understand the tone and sentiment behind those mentions, and summarize discussions in a simple, digestible format.

At a glance, users can:

  • Monitor keyword mentions and sentiment in real-time
  • View summaries of relevant Reddit discussions with TL;DRs
  • Track their "Reputation Score" over time
  • Get AI-generated weekly insights using Google Gemini
  • Ask an LLM-powered chatbot questions about their mentions
  • Connect Reddit accounts to unlock higher API limits

It’s like having a PR team and Reddit analyst rolled into one — available 24/7.

How we built it

Reddit TLDR is a modern web application built with a robust and scalable technology stack:

  • Frontend: Developed using React and TypeScript for a component-based architecture and strong type-checking. Tailwind CSS was used for rapid and consistent styling, enabling a highly customizable and responsive design. Lucide React provides a rich set of icons for visual clarity and aesthetic appeal. React Router DOM handles client-side navigation.
  • Backend & Data Management:
    • Supabase: Serves as the primary backend, providing user authentication, a PostgreSQL database for storing user settings and encrypted API keys, and hosting for Supabase Edge Functions.
    • Netlify Functions: Used as a proxy for unauthenticated Reddit API requests, helping to mitigate CORS issues and initial rate limits.
  • AI Integration: The core sentiment analysis and summarization capabilities are powered by Google Gemini AI, utilizing various models for optimal performance and quality.
  • Reddit Data Retrieval: Reddit posts and comments are fetched directly from the Reddit API, with an OAuth flow implemented to allow users to connect their Reddit accounts for higher rate limits.
  • Build Process: Vite is used as the build tool, offering a fast development server and optimized production builds.
  • Deployment: The application is configured for seamless deployment on Netlify, leveraging its continuous deployment features and serverless function hosting.
  • Bolt.new: Well we can't miss this, can we :)

Challenges we ran into

Throughout the development of Reddit TLDR, several significant challenges were encountered and overcome:

  • API Rate Limiting: Both Reddit and Google Gemini APIs impose strict rate limits. This was addressed by implementing retry mechanisms with exponential backoff, strategically using Netlify Functions as proxies for unauthenticated Reddit requests, and integrating Reddit OAuth to leverage higher authenticated rate limits.
  • Secure API Key Storage: Storing sensitive user-provided Gemini API keys securely was a critical challenge. This was solved by implementing encryption and decryption logic within Supabase Edge Functions, ensuring that API keys are encrypted at rest and only decrypted for use by the serverless functions.
  • Complex Data Processing: Processing and aggregating large volumes of unstructured text data from Reddit comments and posts, then feeding them to the AI model, required careful design of the data pipeline and prompt engineering to ensure accurate and relevant sentiment analysis.
  • Maintaining UI Responsiveness: Ensuring a smooth and fluid user experience, especially during data fetching and AI processing, was challenging. This involved optimizing component rendering, implementing efficient loading states, and carefully managing animations to prevent jank.
  • Error Handling and Fallbacks: Robust error handling was crucial for external API calls. This included implementing specific error messages for API failures, and a fallback model strategy for the Gemini API to ensure continued functionality even if a preferred model experiences temporary issues.

Accomplishments that we're proud of

We shipped a full-stack, AI-powered sentiment and reputation monitoring platform in under a month — and that alone is a huge win.

Some of the biggest wins:

  • Successfully integrated Gemini AI with secure user-provided API keys.
  • Built real-time Reddit monitoring with OAuth and custom API proxying.
  • Developed a stunning, fully responsive UI with live updates and smooth animations.
  • Created a full feature set that combines utility, visual polish, and innovation.
  • Built with performance, security, and scalability in mind — and deployed on a modern stack (Supabase + Netlify).

And most importantly — we built something that solves a real, felt, and urgent problem. That’s what we’re most proud of.

What we learned

Building Reddit TLDR provided extensive learning opportunities across various domains:

  • Advanced API Integration: Deepened understanding of integrating with complex external APIs, specifically Reddit's API for data retrieval and Google's Gemini API for sophisticated AI analysis. This included handling different authentication methods (OAuth for Reddit) and managing API rate limits effectively.
  • Serverless Function Development: Gained practical experience in developing and deploying serverless functions (Netlify Functions and Supabase Edge Functions) for tasks such as proxying API requests to bypass CORS, securely managing sensitive user data (like Gemini API keys), and handling OAuth token exchanges.
  • Secure Data Handling: Implemented robust encryption and decryption mechanisms for user-provided API keys, emphasizing the critical importance of data security and privacy in web applications.
  • Full-Stack Development with Supabase: Leveraged Supabase for comprehensive backend services, including user authentication, database management (PostgreSQL), and serverless functions, streamlining the development process.
  • Responsive and Dynamic UI/UX: Focused on creating a highly responsive, visually appealing, and fluid user interface using React and Tailwind CSS. This involved mastering advanced CSS techniques, implementing smooth animations, and ensuring a consistent design language across the application.
  • Complex State Management: Managed intricate application states, particularly during multi-stage data processing (fetching, analyzing, aggregating) and across various interactive UI components.

What's next for Reputation Guardian

This is just the beginning.

We're planning to expand the AI Insights page into a full-on intelligence suite — offering competitive keyword analysis, predictive reputation risk scoring, and AI-generated strategies for brand communication.

We also want to bring multi-platform support (Twitter, LinkedIn, etc.), better alert systems, and deeper personalization for users.

Our ultimate goal? To build the smartest, most intuitive reputation intelligence system on the internet.

One that doesn’t just tell you what’s happening — it tells you what to do about it.

Built with 💻 React, 🧠 Gemini AI, 🔐 Supabase, ⚡️ Netlify , and obviously🔥 bolt.new

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