Whitepaper

Abstract

$NURSE is a utility token built on the Solana blockchain, launched fairly through pump.fun. It serves as the digital backbone of NursePathNG — a computer-based examination platform designed for Nigerian nursing students preparing for professional certification.

This document outlines the motivation, structure, and long-term vision of $NURSE. It is written for holders, prospective participants, developers, and partners who wish to understand the token's design, its relationship to the NursePathNG platform, and the principles governing its use.

This whitepaper is a living document and may be updated as the project evolves. The most recent version will always be available at WhitePaper.

Introduction

Nursing education in Nigeria is demanding. Students preparing for professional examinations — Public Health Nursing, Midwifery, and General Nursing — must master large volumes of material under significant pressure. Access to quality practice questions and structured computer-based testing (CBT) environments remains uneven across institutions.

NursePathNG was built to close that gap: an accessible, rigorous, and affordable platform that mirrors the real exam environment and helps students build both knowledge and confidence.

$NURSE is the token that connects this mission to the broader digital economy. It is intended to reward participation, fund development, support charitable outreach, and give the NursePathNG community a stake in the platform's success.

Problem Statement

Three structural problems affect nursing exam preparation in Nigeria:

Solution

$NURSE and NursePathNG together address these problems through a transparent, on-chain funding and incentive model paired with a live examination product.

Token Overview

The following table summarizes the key specifications of $NURSE:

Fair Launch

$NURSE was launched on pump.fun, a Solana-native platform that enables fair, permissionless token launches using a bonding curve mechanism.

This choice was deliberate. It guarantees that:

• — No presale, private round, or insider access was granted to any party.
• — All 1,000,000,000 $NURSE tokens entered the open market from day one.
• — The project team must acquire $NURSE through the market, just like any other participant.
• — Supply cannot be manually allocated, minted, or redirected by the team.

As a result, the distribution of $NURSE is a direct reflection of market participation — not of privileged access. The project's influence over supply is limited to buying and selling, in the same manner as every holder.

Wallet Architecture

NursePathNG operates three distinct public wallets, each with a clearly defined purpose. Funds are never commingled. Every address is verifiable on Solscan.

Open Burn Mechanism

$NURSE does not impose an automatic transaction tax. There is no enforced burn on buys or sells.

Instead, the project adopts an open burn model. This means that any holder — a community member, a supporter, or the project team itself — can voluntarily send $NURSE to the public burn address at any time. Once sent, those tokens are permanently unrecoverable.

The rationale for this model is:

• — Voluntary participation. No forced tax on transactions.
• — Community-driven. Holders decide when and how much to burn.
• — Project commitment. The team can burn tokens it has purchased on the open market, publicly demonstrating long-term alignment.
• — Verifiable. Every burn is recorded on-chain and viewable on Solscan.

Roadmap

Risks

Participants should be aware of the following risks:

• — Market volatility. The price of $NURSE is determined by supply and demand and may fluctuate significantly.
• — Regulatory uncertainty. Digital asset regulation in Nigeria and other jurisdictions continues to evolve.
• — Liquidity risk. Early-stage tokens may have limited liquidity, which can affect the ability to buy or sell at a desired price.
• — Execution risk. Roadmap items are targets, not guarantees. Timelines may shift based on resources and conditions.
• — Smart contract risk. While $NURSE follows the standard SPL token model, all on-chain assets carry inherent technical risk.

Disclaimer