APPLIED RESEARCH · MARKETPLACE · PRIVACY

Bitcoin vs Monero in a marketplace flow

A reproducible MyZubster sandbox for studying transaction visibility, fungibility, wallet UX, metadata exposure and operational trade-offs.

Research sandbox — no real funds are moved.
This page simulates the user journey only. It never asks for seed phrases or private keys and does not broadcast BTC or XMR transactions.
BTCXMRPrivacyFungibilityUXMetadata

₿ Bitcoin

Transparent public-ledger case study. Students can inspect which transaction data is visible and how wallet behavior affects privacy.

1. Choose a Marketplace listing
2. Generate a research-only invoice
3. Inspect what an external observer could see
4. Record UX, fee and confirmation observations

ɱ Monero

Privacy-oriented case study. Students examine protocol-level privacy alongside metadata that can still exist outside the blockchain.

1. Choose a Marketplace listing
2. Generate a research-only invoice
3. Inspect protocol privacy and off-chain metadata
4. Record UX, fee and confirmation observations

Research comparison matrix

AreaBitcoinMoneroResearch task
Ledger visibilityTransaction graph and amounts are generally public.Protocol is designed to conceal sender/recipient relationships and transaction amounts.Compare what an external observer can infer.
FungibilityTransaction history can be analyzed.Designed to make units harder to distinguish by history.Study marketplace consequences and user expectations.
MetadataBrowser, wallet, exchange, server and account metadata can exist independently of blockchain privacy.Build an end-to-end threat model.
UXWallet setup, address handling, fees, confirmations and recovery concepts affect completion rates.Measure time, confusion points and abandonment.

What the pilot measures

  • Rail selected: BTC or XMR
  • Simulation started/completed
  • Time spent on the educational flow
  • No wallet address, transaction hash or free-text payment data is sent by this page

Academic next step

Fork the university research repository, define a hypothesis, run the same scripted flow with participants, and publish methodology plus limitations.