Can DeleteMe be vibe coded?
Maintain a manual data-broker checklist and evidence log for user-driven opt-outs
A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For DeleteMe, maintain a manual data-broker checklist and evidence log for user-driven opt-outs. The hard boundary is broker coverage, repeated submissions, identity verification, human operations, and legal processes, plus security assurance, infrastructure, and trust.
Jump to the build brief ↓Checked Jul 2026
What you pay today, before any DIY hosting
high editorial confidence
Buildability by layer
Screens, forms, and focused interactions
The repeatable job the product performs
Availability and legality of required data
Uptime, queues, support, and maintenance
Security, compliance, and user confidence
The achievable core
- Maintain a manual data-broker checklist and evidence log for user-driven opt-outs, stored with strong encryption, explicit threat-model documentation, and no claim of replacing an audited service.
- Prototype the workflow, but rely on audited libraries and established security tools.
- A responsive interface with real empty, loading, success, and error states.
The parts a prompt cannot buy
- broker coverage, repeated submissions, identity verification, human operations, and legal processes
- independent security audits
- global relay infrastructure
- breach monitoring data
- Trust, audits, and counterparties matter more than feature parity.
- Compliance, licensing, and legal accountability are core features.
Why people still pay
People still pay for DeleteMe because security products are paid for because expert review, infrastructure, and accountability matter more than recreating screens. The recurring cost buys cryptography, secure updates, key recovery, threat intelligence, relay capacity, abuse response, audits, and incident handling, not just the visible interface.
Trust, audits, and counterparties matter more than feature parity.
Compliance, licensing, and legal accountability are core features.
The brief
Context, requirements, acceptance criteria, non-goals, and the full production standard — as Markdown, ready for any coding agent.
Build brief — a focused alternative to DeleteMe
Context
**DeleteMe** — Maintain a manual data-broker checklist and evidence log for user-driven opt-outs. It currently costs $10.75/mo.
A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For DeleteMe, maintain a manual data-broker checklist and evidence log for user-driven opt-outs. The hard boundary is broker coverage, repeated submissions, identity verification, human operations, and legal processes, plus security assurance, infrastructure, and trust.
This brief describes a focused, single-operator replacement for the part of DeleteMe that is genuinely reproducible. It is deliberately narrower than the product it replaces, and it says so in writing. Build the useful core; do not pretend to have rebuilt the rest.
What you are building
Maintain a manual data-broker checklist and evidence log for user-driven opt-outs, stored with strong encryption, explicit threat-model documentation, and no claim of replacing an audited service.
Prototype the workflow, but rely on audited libraries and established security tools.
A responsive interface with real empty, loading, success, and error states.
Requirements
Functional
Desktop OS.
Secure backup location.
Modern cryptographic libraries.
Careful review before real-world use.
Non-functional
Accessibility: semantic markup, labelled controls, visible focus, and reduced-motion support.
Security: server-side secrets, validated input, and no credentials in the client bundle.
Reliability: retries with backoff on external calls, and a clear failure state when a provider is down.
Portability: the operator can export their data and leave without losing it.
Implementation brief
Build a closest honest personal substitute for DeleteMe in an empty repository.
Use Rust, Tauri 2, React, SQLite, Argon2id, and audited cryptographic libraries; do not offer alternative stacks.
The core loop is: maintain a manual data-broker checklist and evidence log for user-driven opt-outs, stored with strong encryption, explicit threat-model documentation, and no claim of replacing an audited service.
Make the first run work locally with one documented command.
Store all user data locally by default and make export straightforward.
Put secrets in .env, ship .env.example, and never commit credentials.
Write a plain-language threat model before implementing any sensitive feature.
Keep all vault data encrypted with a master key derived through Argon2id and a unique salt.
Use authenticated encryption from a maintained library and never invent cryptographic primitives.
Implement lock timeout, clipboard clearing, password generation, import, export, and encrypted backups.
Make recovery-key creation explicit and test restore from a fresh installation.
Display a persistent warning that the build has not received an independent security audit.
Include clear empty, loading, success, and recoverable error states.
Add input validation, safe filenames, and graceful handling of unavailable APIs.
Write focused tests for the core transformation and one end-to-end happy path.
Create a README with setup, architecture, permissions, data location, and backup steps.
Do not add accounts, billing, telemetry, analytics, or a hosted control plane.
Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure.
Deliberately leave out a production VPN or anonymity network.
Deliberately leave out identity-protection monitoring and data-broker removal.
Deliberately leave out enterprise security guarantees, audits, and emergency support.
Finish by running the tests and listing the exact commands used.
Delivery standard
Inspect the repository first, then write a short implementation plan before writing code.
Deliver the smallest complete end-to-end workflow first; every primary control must work against persisted data.
Use real validation and storage; never substitute fake dashboards, decorative controls, hard-coded success states, or mock integrations.
Include responsive layouts plus genuine empty, loading, success, validation, and failure states.
Keep secrets server-side in environment variables, provide .env.example, and never commit credentials or user data.
Add structured logs around every external call and return actionable errors without leaking sensitive details.
Write unit tests for the core logic and one automated test of the main user journey.
Finish with a README covering setup, architecture, data location, backups, tests, deployment, and known limitations.
Acceptance criteria
A clean install starts the app using only the README and .env.example.
The primary journey works from first visit through saved result, reload, edit, export, and deletion where applicable.
Invalid input, missing configuration, provider failure, and an empty database each have a usable state.
The interface works at 390px and 1440px, is keyboard navigable, and shows visible focus on every control.
Tests, type checking, linting, and a production build all pass with no ignored failures.
No part of the interface implies a live integration, security guarantee, or scale capability that was not actually built and verified.
Non-goals
Do not build these, and do not claim to have replaced them:
Broker coverage, repeated submissions, identity verification, human operations, and legal processes.
Independent security audits.
Global relay infrastructure.
Breach monitoring data.
Trust, audits, and counterparties matter more than feature parity.
Compliance, licensing, and legal accountability are core features.
What you still own after launch
Run migrations, backups, restores, and dependency updates.
Test the critical journey after every model, API, or hosting change.
Monitor failures and fix the edge cases a first prompt will miss.
Risk
**High consequence.** Use this as a prototype or personal aid. Keep a qualified human and an established provider in the loop for consequential decisions.
Editorial confidence in this assessment: high. No independent one-shot implementation is linked yet.
Prior art
Working open-source software you can read, fork, or borrow from before starting:
[Vaultwarden](https://github.com/dani-garcia/vaultwarden) — Widely used Bitwarden-compatible self-hosted password server implementation
Generated by [Can It Be Vibe Coded?](https://www.canitbevibecoded.com) · Full report: https://www.canitbevibecoded.com/deleteme
You still own the product
- Run migrations, backups, restores, and dependency updates.
- Test the critical journey after every model, API, or hosting change.
- Monitor failures and fix the edge cases a first prompt will miss.
Open-source prior art
Before you start
Can DeleteMe be vibe coded?
Not faithfully. A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For DeleteMe, maintain a manual data-broker checklist and evidence log for user-driven opt-outs. The hard boundary is broker coverage, repeated submissions, identity verification, human operations, and legal processes, plus security assurance, infrastructure, and trust.
What can an AI coding agent reproduce from DeleteMe?
Maintain a manual data-broker checklist and evidence log for user-driven opt-outs, stored with strong encryption, explicit threat-model documentation, and no claim of replacing an audited service. Prototype the workflow, but rely on audited libraries and established security tools. A responsive interface with real empty, loading, success, and error states.
What will a DIY DeleteMe replacement still be missing?
broker coverage, repeated submissions, identity verification, human operations, and legal processes; independent security audits; global relay infrastructure; breach monitoring data; Trust, audits, and counterparties matter more than feature parity.; Compliance, licensing, and legal accountability are core features.
What do I still own after building a DeleteMe alternative?
Run migrations, backups, restores, and dependency updates. Test the critical journey after every model, API, or hosting change. Monitor failures and fix the edge cases a first prompt will miss.