How to vibe codeDeleteMe
Remove Personal Data from Internet & Data Brokers
joindeleteme.com ↗Privacy & Security SaaS
The verdict: can you vibe code DeleteMe?
You can build the user dashboard and a basic automated scraper in a few weekends, but you cannot replicate the massive human operations team required to force 750+ uncooperative data brokers to comply.
Building a personal clone of DeleteMe's SaaS dashboard and scraping pipeline is a rewarding challenge, but the core product value relies on a relentless human-in-the-loop operations engine. While AI can easily scaffold the Next.js frontend, database schemas, and Python scrapers using Firecrawl or Playwright, you will hit a brick wall when data brokers introduce CAPTCHAs, require phone verification, or simply ignore automated opt-out forms. Unless you plan to manually process hundreds of removal requests yourself every month, the automation will only cover a fraction of what a paid subscription delivers.
Estimated effort: 6+ months of part-time development and ongoing maintenance
What you can't replicate
- The dedicated operations team of privacy advisors handling manual broker paperwork and disputes
- Institutional database of hundreds of bespoke, constantly-breaking data broker scraping parsers
- Enterprise trust, compliance certifications, and legal standing against abusive brokers
Founded
2010
Raised
—
Team
50–200
Cheapest paid tier
$129.50/yr
What DeleteMe does
A consumer and enterprise privacy service that removes personal identifiable information from online data brokers and people-search directories through automated and manual operations.
Core features
- User profile & PII data collection (names, aliases, addresses, phones, emails)
- Dashboard for monitoring removal progress and exposed listings
- Automated scanning and scraping pipeline against data broker targets
- Opt-out request submission queue (API and form submissions)
- Customer reporting and notification system (weekly/monthly summaries)
- Admin panel for managing broker definitions and manual overrides
The business
Pricing
- 1 Person (1 Year)$129.50/yr
- 2 People (1 Year)$229.50/yr
- Family / 4 People (1 Year)$349.50/yr
Funding
Unknown / bootstrapped
Pay vs build, cumulative
No break-even inside 24 months at these numbers.
The hard parts of vibe coding DeleteMe
- Data broker DOM changes and anti-bot measures (CAPTCHAs, rate limits) across hundreds of targets
- Handling identity verification hurdles (email verifications, SMS codes, or mail-in opt-outs)
- The human-in-the-loop operational scaling required to handle brokers who refuse automated compliance
- Maintaining robust scrapers and parsers as data broker layouts shift constantly
How to vibecode DeleteMe
Prerequisites
Node.jsfree
Required for running the Next.js full-stack web application.
Pythonfree
Required for building the web scraping and broker opt-out automation scripts.
GitHubfree
Version control and CI/CD deployment pipelines.
AI coding tools
Cursor
Ideal for iterative frontend UI work and managing the Next.js codebase with inline diff reviews.
Claude Code
Exceptional terminal coding agent for scaffolding complex backend data pipelines and database models.
Recommended stack
| Frontend | Next.js with Tailwind CSS and shadcn/ui |
|---|---|
| Backend | Next.js API routes & Python worker scripts |
| Database | Supabase (PostgreSQL with pgvector for data matching) |
| Auth | better-auth |
| Payments | Stripe |
| Other | Firecrawl for web scraping research, Playwright for browser automation opt-outs |
Hosting & infrastructure
| Vercel | Hosting the Next.js web application frontend and dashboard API routes. | $0-20/mo |
| Railway | Hosting background Python scraping workers and automated opt-out job queues. | ~$5-10/mo |
| Supabase | Managing user profiles, PII targets, and broker exposure tracking records. | $0/mo (Free tier) |
Build guide
01Project Setup & Database Schema
Initialize the Next.js project with Tailwind CSS and configure Supabase with better-auth. Set up tables for user profiles, aliases, monitored PII fields (names, addresses, phone numbers, emails), and data broker exposure records.
Initialize a new Next.js project with TypeScript, Tailwind CSS, and App Router. Set up better-auth with email/password authentication connected to Supabase PostgreSQL. Create database migrations and Prisma/Drizzle schemas for users, user_profiles (storing names, previous names, aliases, addresses, phone numbers, emails), broker_targets (list of data brokers with URLs and status), and exposure_records (linking user profiles to broker targets with statuses like 'exposed', 'removal_requested', 'removed'). Implement a clean dashboard layout using shadcn/ui components.02User Profile & PII Management Dashboard
Build the customer onboarding flow where users input their personal identifying information to be scanned and monitored.
Build a multi-step onboarding wizard in Next.js where users input their current name, previous names, aliases, current and past physical addresses, phone numbers, and email addresses. Store these securely in the user_profiles table with encryption at rest considerations. Create a dashboard view that displays summary metrics: total exposures found, active removal requests, and clean status across scanned data brokers. Include a settings page to update or add new PII details as life events occur.03Data Broker Exposure Scanning Engine
Develop a Python-based worker service using Playwright and Firecrawl to search and parse data broker directories for user PII.
Create a Python microservice using Playwright and BeautifulSoup (or Firecrawl API) designed to query mock data broker search pages using a user's name, city, and state. Implement an LLM-powered extraction parser using the Gemini API to parse search results HTML and determine if a returned profile matches the user's specific PII (matching name, address, or phone). Store matched exposure records in the Supabase database with confidence scores and source URLs.04Automated Opt-Out Submission Queue
Implement background job handlers that automate form submissions or email opt-outs for discovered broker listings.
Build a background worker queue in Python/Railway that processes 'exposed' records by executing automated opt-out routines. For simple brokers, write Playwright automation scripts to fill out web opt-out forms, solve basic captcha prompts or trigger email verification links. For brokers requiring manual intervention, flag the record as 'needs_human_review' and assign it to an internal admin queue. Log all submission attempts and timestamps in an audit log table.05Admin Operations & Human-in-the-Loop Review Panel
Construct an internal admin dashboard for reviewing flagged broker removal failures and verifying manual completions.
Create an admin-only route group in Next.js (`/admin`) protected by role-based auth. Build a review queue interface where operators can view pending data broker removal requests, inspect screenshots of broker pages captured by Playwright, and manually mark listings as 'removed' or 'disputed'. Include batch actions and operator activity logs to track throughput on manual opt-out submissions.06Subscription Billing & Notifications
Integrate Stripe for recurring subscription plans and Resend for transactional exposure progress updates.
Integrate Stripe billing into the Next.js application supporting annual and multi-year subscription plans for individuals and families. Set up webhook handlers to update user subscription tiers and expiration dates in the database. Integrate Resend to automatically dispatch weekly or monthly email digest reports summarizing new exposures found, removals completed, and ongoing privacy protection stats using clean HTML email templates.
Cost vs paying for DeleteMe
What will you build it with?
Starting total with Claude Code$0 one-time
Starting costs (one-time)
- Domain registration~$12 one-time
- AI coding agent credits~$20 one-time
Total~$32 one-time
Ongoing costs (monthly)
- Vercel Hobby / Pro Hosting$0-20/mo
- Railway Python Workers~$5-10/mo
- Supabase Database$0/mo
Total~$5-30/mo
Paying for DeleteMe
~$10.79/mo to $29.13/mo (depending on plan)
Your time to build
120-160 hours
AI tool credits
$20/mo (Cursor/Claude Pro)
Break-even
Self-hosting only makes sense for learning; paying for the commercial service is vastly cheaper when accounting for the thousands of hours required to maintain broker scrapers.
Vibe code DeleteMe: FAQ
- Can you vibe code DeleteMe yourself?
- Serious undertaking — 35/100 vibecodeable. You can build the user dashboard and a basic automated scraper in a few weekends, but you cannot replicate the massive human operations team required to force 750+ uncooperative data brokers to comply.
- How long does it take to vibe code DeleteMe?
- 6+ months of part-time development and ongoing maintenance — roughly 120-160 hours of hands-on time with an AI coding agent.
- How do you build your own DeleteMe?
- Scoped to personal use: Next.js with Tailwind CSS and shadcn/ui on the front, Next.js API routes & Python worker scripts behind it, Supabase (PostgreSQL with pgvector for data matching) for data. Follow the 6-step build guide on this page — each step has a paste-ready prompt for an AI coding agent.
- How do you code your own DeleteMe without being an expert?
- Use an AI coding tool (Cursor or Claude Code) and work in small steps: scaffold, data model, core screens, then deploy. Realistic effort: 6+ months of part-time development and ongoing maintenance. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code DeleteMe instead of paying?
- About ~$32 one-time to start and ~$5-30/mo to run, versus ~$10.79/mo to $29.13/mo (depending on plan) for DeleteMe. Break-even: Self-hosting only makes sense for learning; paying for the commercial service is vastly cheaper when accounting for the thousands of hours required to maintain broker scrapers..
- What stack should you use to vibe code DeleteMe?
- Next.js with Tailwind CSS and shadcn/ui; Next.js API routes & Python worker scripts; Supabase (PostgreSQL with pgvector for data matching); plus Firecrawl for web scraping research, Playwright for browser automation opt-outs.