Rating Assist

Stack

Next.js

Firebase

Cloud Firestore

Tailwind CSS

Stripe

GPT-3.5

Introduction

The inception of Rating Assist began as a collaborative venture between me, another developer friend, and a colleague who brought forth the initial idea. Recognizing the potential in the concept, we set out to develop a SaaS application that would streamline the process of gathering and managing online reviews.

Tech Stack

  • Frontend Development: Leveraging the power of Next.js, we created a seamless and responsive user interface.
  • Backend Integration: We utilized Firebase for robust user authentication and authorization, ensuring secure and efficient user interactions.
  • Database Management: Firestore served as our database solution, offering real-time data synchronization and scalability.
  • Payment Processing: Integration with Stripe enabled us to implement a subscription model, providing a reliable and secure payment gateway for our users.
  • AI Integration: Incorporating GPT allowed us to automate the analysis and generation of review texts, enhancing the overall functionality of the app.
  • QR Code Generation: We used a specialized qrcode library to create unique QR codes, streamlining the review process for users.

Purpose and Solution

The creation of Rating Assist was driven by a need to simplify the online review process. We recognized that businesses often struggle with obtaining positive reviews and managing negative feedback effectively. Rating Assist serves as a solution to these challenges, offering a platform where businesses can easily guide customers to leave reviews, analyze feedback using AI, and proactively address any negative experiences.

Features and Functionalities

  1. QR Code Directed Review Portal: Customers can provide feedback easily through a QR code, leading them to our online portal. This approach simplifies the feedback process and encourages more user engagement.
  2. AI-Powered Review Assistance: Our advanced AI technology assists customers in converting their positive feedback into authentic and positive Google reviews.
  3. Negative Feedback Management: We filter out negative feedback, enabling businesses to respond proactively and improve customer experience before it affects their public reputation.
  4. Customizable Business Profiles: Businesses can create and manage their profiles, inputting essential details to personalize their experience on our platform.

As we forge ahead with the development of Rating Assist, our journey is a mix of continuous innovation, collaboration, and learning. Here are a few insights into our ongoing process:

  1. Keeping Our Code Close to the Chest: While we're proud of the technical wizardry behind Rating Assist, we're keeping our code under lock and key for now. After all, a magician never reveals their secrets, especially when they're in the business realm.
  2. In Sync with Beta Users: We're building this tool hand-in-hand with our beta users. Their insights are invaluable, helping us fine-tune features and address real-world challenges.
  3. Rapid Development, Endless Improvement: The majority of Rating Assist was built in just a few weeks, showcasing our team's commitment and efficiency. However, in the world of tech, the finish line is always moving forward with new features and updates.
  4. Navigating the Business Landscape: Let's be honest, the journey through marketing and sales can be as intricate as coding. We're learning and adapting every day, embracing each challenge as an opportunity to grow.
  5. Adopting a Lean Mindset: Our approach is guided by the principles of the Lean Startup - build, measure, learn, and iterate. It's about being agile and responsive, much like a well-oiled machine.

In sum, Rating Assist is a living, breathing project, constantly evolving to better meet the needs of our users. We're committed to enhancing the online review process, making it as straightforward and effective as possible.