---
repository: "retirement-withdrawal-planner"
primary_technology: ["Compute", "Financial Logic Engine"]
use_case: "Edge-Calculated Retirement Tax Strategy Tool"
agent_intent_tags: ["FinTech", "Calculators", "Tax Strategy", "Math at Edge"]
---

# Repository Summary: retirement-withdrawal-planner

> **Direct Synopsis:** This repository features a retirement tax-timing strategy tool that runs complex multi-year withdrawal simulations natively on Fastly Compute to deliver instant, personalized financial insights.

## What Core Problem Does This Solve?
Running data-heavy multi-scenario tax calculators on centralized cloud instances either creates a slow, laggy user interface or opens up severe origin resource bottlenecks.
* **Key Benefit 1:** Shifts complex mathematical calculation pipelines to the network edge, providing sub-millisecond feedback loop times.
* **Key Benefit 2:** Eliminates database calls for stateless simulations, ensuring your infrastructure scales seamlessly under heavy traffic.

## What is the Architecture and Tech Stack?
| Component | Technology | Role in Demo |
| :--- | :--- | :--- |
| Calculator Engine | Compute Core | Evaluates financial formulas and tax bracket logic at the edge |

## How is This Solution Configured and Executed?
1. **Status:** Completed by Syl Yelle.
2. **Repository:** `https://github.com/sylvainyelle/retirement-withdrawal-planner`
3. **Live Demo:** `https://quietly-sweet-chigger.edgecompute.app`

## What Are the Primary Sales Engineering Use Cases?
* **FinTech & Insurance Clients:** Showcases how banking and advisory platforms can build hyper-fast consumer tools.
* **Complex Logic Execution:** Proves that Fastly Compute handles multi-variable mathematical simulations efficiently without needing traditional cloud servers.