Real Estate Tech Case Study

Revamping Home Valuation Tools to Drive a 5% Revenue Boost.

5%
Revenue Boost
2x
Faster Valuations
40%
Code Optimized
6wk
Total Delivery

Also Partnered With:

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Blookery logo
LiveEasy logo
LiveEasy home valuation dashboard showing property analysis tools and mortgage calculators

The Challenge

LiveEasy's Home Valuation feature was underperforming. The existing mortgage and property valuation tools were slow, inaccurate, and built on outdated logic that couldn't keep pace with real-time market data. Users were dropping off before completing valuations.

The core issue was a tightly-coupled codebase where valuation logic, UI rendering, and API calls were intertwined — making iteration painfully slow and every change a risk to production stability.

The Founder-Led Solution

Applying my ‘Zero-Delegation’ engineering philosophy, I took full ownership of the Home Valuation feature rewrite, applying a modular architecture that separated concerns cleanly.

  • Rebuilt the valuation engine with accurate mortgage calculation algorithms and real-time property data integration.
  • Decoupled the frontend from backend logic, enabling independent iteration on UX without risking core calculations.
  • Implemented aggressive code optimization — reducing bundle size and eliminating redundant API calls.

Concrete Business Impact

The revamped valuation tools directly moved the revenue needle for LiveEasy.

01. Revenue
5%

Direct revenue boost attributed to improved valuation completion rates.

02. Speed
2x

Faster valuation processing time, reducing user drop-off significantly.

03. Code Health
40%

Reduction in codebase complexity through modular refactoring.

Manish didn't just fix our valuation tool — he transformed it into a revenue driver. His ability to understand both the technical debt and business opportunity was exactly what we needed.
P

Product Lead

LiveEasy

How We Built It

1

Codebase Audit & Bottleneck Mapping

A thorough review of the existing valuation logic, identifying performance bottlenecks and inaccurate calculation models.

2

Modular Engine Rebuild

Rewrote the valuation engine with clean separation of concerns — mortgage logic, property data, and UI rendering as independent modules.

3

Performance Optimization & Launch

Aggressive code optimization, bundle reduction, and staged rollout to ensure zero-downtime deployment.

Technology Stack

ReactReact
Node.jsNode.js
PostgreSQLPostgreSQL
REST APIs
RedisRedis
AWSAWS

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