Read Review First

Read Review First
AI narrows down the search and search through database or generate product ideas
Product pages initialy shows the AI review and platform affiliate links
Detailed review of product
Reviews added by users - with their affiliate links
Earn affiliate commisions from your reviews
User Trust levels explained
User profile
User reviews
User affiliate program settings
Dashboard Overview
Reviewing flagged content
Statistics
Managing Trust Levels and Awards
Statistics
CMS section for pages and blog posts

🧠 Inspiration

I actually came up with the idea for ReadReview First back in 2014 - I even bought the domain then. The idea was simple: before buying anything online, people should read helpful reviews first. But building something like this with WordPress back then was just too complex, especially if I wanted user reviews, smart filtering, and affiliate links. So the idea sat on a shelf for nearly a decade.

Fast forward to now - with tools like Bolt.new, I was able to go from scratch to working prototype in just a few days. And it’s not just about speed - I finally had the flexibility to build it my way, without hacking together clunky plugins or managing a backend.

Affiliate marketing has always been part of the vision. Most review platforms keep affiliate links for themselves, but I wanted to flip that. What if users could earn from sharing honest reviews? What if trust and transparency weren’t an afterthought but baked into the design?

I also recently tried building an earlier version for a different hackathon - that one had a fully working backend, but a much rougher UI. You can check it out here:
🔗 ReadReview First (Hackathon #1)

That attempt proved backend logic wasn’t a blocker - I just needed a better user experience and design. Now with Bolt, the frontend feels snappy, usable, and clear. It’s finally coming together.

🚀 What it does

ReadReview First is a review-first platform that blends AI with real user feedback. Here’s what it can do:

🔍 Search without logging in - anyone can search for a product and browse its reviews instantly.
✍️ Write reviews (with images) - users can log in and submit their own reviews with optional images.
🧠 Simulated AI reviews - for demo purposes, the app can generate example reviews for products without user input.
🛠️ Built-in review moderation tools - there’s a basic admin area (mocked for now) to manage user content.
🧪 Affiliate-ready structure - both platform-level and user-level affiliate integration is simulated.

🧱 How I built it

This was built as a frontend prototype with no backend (yet), using mocked services to simulate a full-stack experience. Here's what’s under the hood:

React + TypeScript for the app itself
Tailwind CSS for styling
Vite for fast development and builds
Lucide Icons for a clean UI
Mocked data (products, users, reviews, AI outputs) to simulate everything you'd expect in production
Custom hooks like useLocalStorage and useDebounce for state and interactions

Even the AI-generated reviews and product suggestions are simulated to show how it’ll work once real APIs are connected.

🧩 Challenges

Simulating everything - building a rich, interactive platform without a backend meant faking things like login, storage, and AI logic while keeping it believable.
Hybrid search logic - merging real reviews with AI suggestions and getting that to feel smooth took a lot of iteration.
Making it feel real - the goal was for it to feel like a working product, even if it was just a prototype.
Keeping mock data consistent - syncing all the fake users, products, and reviews across the app was trickier than expected.

🏆 What I'm proud of

Pulled off a realistic demo - it shows the vision clearly, even without a backend.
Rich feature set - the app isn’t just a form; it includes search, AI previews, review uploads, admin tools, and even user logic.
Clean UI & UX - it’s fast, mobile-friendly, and doesn’t feel like a hackathon throwaway.
Affiliate-ready mindset - designed from day one with user monetization and trust in mind.

📚 What I learned

Good frontends can tell a full story - I was able to express the whole product idea clearly with just UI + mock logic.
AI isn’t just output - designing good UX around AI-generated content takes real thought, even with fake data.
Trust matters - people need context, transparency, and a sense that their contribution is valued - especially when reviews are involved.
Plan for scale early - even with mocks, I built things in a way that can later plug into Supabase or other backends.

🔮 What’s next

🔁 Swap mock services for a real backend (Supabase, edge functions, auth)
🤖 Connect to a real LLM for review generation, summaries, and recommendations
💸 Affiliate integration with live tracking for both users and platform
👥 Better community tools like trust levels, notifications, and AI moderation
📱 Deploy to mobile using Bolt’s features to reach more users
⚡ Performance tuning to stay fast even with real data
...