How I Built OyeLocal in a Weekend (2 Days) Using AI and AntiGravity

Building a Real SaaS Product in Just 48 Hours

As a software engineer and AI enthusiast, I always wanted to solve a real-world problem for local businesses in India.

Last weekend, I challenged myself with a simple goal:

“Can I build and launch a production-ready AI-powered SaaS product in just 2 days?”

The result was OyeLocal (https://www.oyelocal.in/) — a smart platform that helps local businesses improve Google Reviews using intelligent QR flows and AI-powered feedback routing.

And yes, I built the entire MVP in a single weekend using AI tools, rapid development workflows, and a concept I call AntiGravity Development.

In this article, I’ll explain:

• The idea behind OyeLocal
• The real business problem it solves
• How I planned and developed it in 48 hours
• Tech stack used
• AI workflow and automation
• Challenges faced
• Lessons learned
• How AI is changing software engineering forever

What is OyeLocal?

OyeLocal is an AI-powered local business growth platform.

It helps businesses:

• Increase positive Google Reviews
• Filter negative feedback privately
• Improve online reputation
• Grow trust and visibility

The core concept is simple:

Smart QR Flow

When a customer scans a QR code:

• Happy customers are redirected to Google Reviews
• Unhappy customers are asked to share private feedback instead

This prevents public negative reviews while helping businesses improve customer experience.

This idea is extremely useful for:

• Restaurants
• Cosmetic shops
• Salons
• Clinics
• Toy shops
• Cafes
• Local stores
• Small businesses in India

Why I Built OyeLocal

I live in India, and one thing I noticed repeatedly was:

Small businesses struggle with online reputation.

Most local shops:

• Don’t understand Google Reviews
• Don’t know digital marketing
• Cannot afford expensive SaaS tools
• Lose customers because of low ratings

Meanwhile, customers heavily trust:

• Google ratings
• Reviews
• Search visibility

A business with:

• 4.8 rating → gets customers
• 3.2 rating → gets ignored

This problem became my motivation.

I wanted to build:

• Something simple
• Affordable
• AI-powered
• Easy for non-technical business owners

What is AntiGravity Development?

AntiGravity is my personal approach to AI-assisted rapid product development.

Traditional software development feels “heavy”:

• Long planning
• Large teams
• Slow execution
• Complex coordination

AntiGravity Development removes that weight.

The principles are:

• Build fast
• Ship early
• Use AI aggressively
• Automate repetitive work
• Focus only on user value
• Avoid perfection paralysis

In this project, AI acted like:

• Product manager
• UI designer
• Backend assistant
• QA helper
• SEO writer
• Marketing assistant

Instead of replacing engineering skills, AI amplified productivity.

The Tech Stack

I intentionally chose a modern stack optimized for speed.

Frontend

• Next.js
• React
• Tailwind CSS

Backend

• Supabase
• PostgreSQL
• Serverless APIs

Deployment

• Vercel

AI Workflow

• ChatGPT
• AI-assisted coding
• Prompt-driven development

Analytics

• Custom scan tracking
• Feedback analytics

Day 1 — Product Planning and Core Development

Step 1: Defining the MVP

I asked myself:

What is the minimum feature set needed to create value?

The MVP included:

• QR code generation
• Business onboarding
• Google review redirect
• Negative feedback collection
• Analytics dashboard
• Mobile-friendly UI

I intentionally avoided:

• Complex CRM features
• Team management
• Billing systems
• Advanced analytics

The goal was speed.

Designing the User Flow

The entire product experience was optimized for simplicity.

Business Owner Flow

1. Create account
2. Add business details
3. Enter Google review link
4. Generate smart QR
5. Print and place QR in shop

Customer Flow

1. Scan QR
2. “How was your experience?”
3. Positive → Google Review
4. Negative → Private feedback form

Simple. Fast. Effective.

Using AI During Development

AI significantly accelerated development.

I used AI for:

• Database schema generation
• API structure
• UI component generation
• Error handling
• SEO content
• Marketing copy
• Architecture suggestions

Instead of writing everything manually, I focused on:

• Product decisions
• User experience
• Business logic

AI handled repetitive engineering tasks.

Database Design

Supabase made backend development extremely fast.

Main tables:

• Businesses
• QR Campaigns
• Feedback
• Analytics Events
• Review Redirect Logs

I designed the schema to support:

• Scalability
• Multi-business support
• Future AI analytics

Building the QR System

The QR system was the core feature.

Each business receives:

• Unique QR code
• Tracking-enabled redirect URL

Example flow:

• Customer scans QR
• System tracks event
• Customer selects experience
• Redirect logic executes

This gave businesses visibility into:

• Total scans
• Positive review rate
• Negative feedback rate

Day 2 — Polish, Optimization, and Deployment

The second day focused on:

• UI cleanup
• Mobile responsiveness
• Analytics
• Error handling
• Deployment
• SEO optimization

SEO Strategy

I wanted OyeLocal to rank for keywords like:

• Google Review QR Code
• Improve Google Reviews
• Local Business Reputation Management
• QR Code Review System
• AI Review Management Tool

So I optimized:

• Metadata
• Landing page structure
• Content hierarchy
• Page speed
• Mobile UX

SEO was integrated from Day 1.

Biggest Challenges

1. Rapid Decision Making

When building quickly, indecision kills momentum.

I had to:

• Skip unnecessary perfection
• Make fast tradeoffs
• Focus on outcomes

2. Deployment Issues

I faced:

• Vercel deployment restrictions
• Git author issues
• Environment variable problems
• API permission bugs

But solving deployment problems is part of shipping products.

3. Scope Control

The hardest part of rapid development is:

NOT building extra features.

I constantly resisted:

• Adding dashboards
• AI recommendation engines
• Advanced automation
• Complex user roles

MVP discipline matters.

What I Learned

AI Will Change Software Engineering Forever

The role of engineers is evolving.

Future engineers will focus more on:

• System thinking
• Product strategy
• AI orchestration
• Architecture
• Business understanding

Coding itself is becoming partially automated.

Speed Matters More Than Perfection

Many people spend:

• Months planning
• Weeks designing
• Endless time polishing

But real learning happens only after shipping.

Launching fast creates:

• Feedback
• Momentum
• Clarity

Small Businesses Need AI Too

Most AI products target:

• Enterprises
• Developers
• Large companies

But small businesses also deserve:

• Automation
• AI growth tools
• Affordable SaaS

India’s local business ecosystem is a massive opportunity.

What’s Next for OyeLocal?

Future roadmap:

• WhatsApp integrations
• AI-generated reply suggestions
• Multi-location support
• Smart customer sentiment analysis
• Auto follow-up campaigns
• AI-powered local SEO recommendations

The vision is much larger than QR reviews.

I want OyeLocal to become:

An AI growth platform for local businesses in India.

Final Thoughts

Building OyeLocal in a weekend taught me something important:

AI dramatically reduces the distance between idea and execution.

Today, a single motivated engineer can:

• Validate ideas faster
• Launch real SaaS products
• Compete with larger teams
• Build globally scalable products

The future belongs to builders who can combine:

• Engineering
• AI
• Product thinking
• Speed

And this is just the beginning.

Connect With Me

If you’re building AI products, SaaS tools, or startup ideas, I’d love to connect.

Also, if you run a local business and want to improve your Google Reviews using smart QR technology, check out OyeLocal.

The AI-powered local business revolution has just started 🚀 Checkout -> https://www.oyelocal.in/

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