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Case study
Case study

Harmony

Where finance meets mindfulness. An AI-powered app that transforms how people relate to their money.

6 weeks
Timeline
2 people
Team
Web + Mobile
Platform
GPT-4
AI Model
(01) The challenge

Beyond Basic Budgeting

Most personal finance apps focus purely on numbers, missing the emotional and behavioral aspects of money management:

  1. Users abandon budgeting apps within weeks due to guilt-driven interfaces

  2. Generic financial advice fails to account for individual spending patterns

  3. No connection between financial habits and overall wellbeing

  4. Complex dashboards overwhelm rather than empower users

(02) The solution

Finance Meets Mindfulness

Harmony reimagines personal finance through the lens of wellbeing. Instead of shaming users for overspending, it celebrates progress and provides gentle, AI-powered guidance that adapts to each person's financial journey.

Solution
Technical details

Built with

  • React
  • TypeScript
  • Node.js
  • PostgreSQL
  • Plaid API
  • OpenAI

Key features

  • Smart Budgeting
  • Spending Analytics
  • Financial Wellbeing Score
  • Bill Tracking
  • Savings Goals
  • Category Insights
(03) Impact & results

Results That Matter

Harmony's mindful approach to money management delivers measurable improvements:

3x longer

User Retention

Users stay engaged beyond the typical 2-week dropoff seen in competing finance apps

23% better

Budget Adherence

Users who engage with the AI coach stay closer to their monthly spending targets

+12 points

Wellbeing Score

Average improvement in Financial Wellbeing Score after 30 days of active use

Result
Result detail
(05) How we work

Enterprise transformation or a rapid AI-native build, same principle: one senior team, a fixed fee, and dates agreed before we start.

(06) Let's build

Ready to build something exceptional?

Start a projectScope and price in 48 hours

Or write to hello@p0stman.com

AGENT INTERFACE ACTIVE · MCP: p0stman.com/api/mcp · 5 TOOLS REGISTERED · [DISCOVERY] llms.txt · agents.md · context.md · sitemap.xml · robots.txt · TavilyBot ALLOWED · ClaudeBot ALLOWED · GPTBot ALLOWED · PerplexityBot ALLOWED · [COMPREHENSION] JSON-LD schema · /api/ai/context · /api/ai/services · /api/ai/portfolio · [ACTION] book_discovery_call · submit_inquiry · get_services · get_portfolio · search_content · [A2A] AgentCard: /.well-known/agent.json · Task endpoint: /api/agent · A2A JSON-RPC 2.0 · navigator.modelContext REGISTERED · WebMCP: 5 TOOLS · INDEXNOW: 145 URLs · Bing NOTIFIED · [MANAGED AGENTS] Lead Researcher · AgentReady Auditor · SEO Writer · Weekly Reporter · Claude Sonnet 4.6 · Cloud containers · Outcome-based grading · Multi-agent orchestration · AGENT INTERFACE ACTIVE · MCP: p0stman.com/api/mcp · 5 TOOLS REGISTERED · [DISCOVERY] llms.txt · agents.md · context.md · sitemap.xml · robots.txt · TavilyBot ALLOWED · ClaudeBot ALLOWED · GPTBot ALLOWED · PerplexityBot ALLOWED · [COMPREHENSION] JSON-LD schema · /api/ai/context · /api/ai/services · /api/ai/portfolio · [ACTION] book_discovery_call · submit_inquiry · get_services · get_portfolio · search_content · [A2A] AgentCard: /.well-known/agent.json · Task endpoint: /api/agent · A2A JSON-RPC 2.0 · navigator.modelContext REGISTERED · WebMCP: 5 TOOLS · INDEXNOW: 145 URLs · Bing NOTIFIED · [MANAGED AGENTS] Lead Researcher · AgentReady Auditor · SEO Writer · Weekly Reporter · Claude Sonnet 4.6 · Cloud containers · Outcome-based grading · Multi-agent orchestration ·