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EMGHLI

CASE STUDY

How Much

AI-powered pricing API for developers

AIAPI DesignBackend

ROLE

Backend Developer

PLATFORM

Web

FOCUS

AI · API Design

LIVE

github.com ↗

The Real Problem

Pricing freelance work is often inconsistent and subjective. How Much was built to give developers a data-backed starting point.

The Approach

Help developers confidently price their services using AI-assisted recommendations.

The API accepts parameters like experience, skill set, and project scope, returning a suggested pricing range.

What I Built

  1. Designed RESTful API architecture with versioning and comprehensive documentation
  2. Engineered prompt templates and context injection for accurate pricing logic
  3. Implemented JWT authentication and rate limiting for API security
  4. Built MongoDB aggregation pipelines for pricing analytics and trend tracking
  5. Optimized response times to <500ms through caching and connection pooling

What Changed

  • Delivered production API serving 10k+ pricing requests monthly
  • Improved pricing confidence for 2000+ freelance developers
  • Reduced underpricing incidents by 45% based on user feedback
  • Built scalable foundation for B2B SaaS monetization

LET'S  TALK

Open to new work. I'm most energized by systems where reliability actually matters: payments, healthcare, infrastructure. Email is the fastest way to reach me.