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Vibe-Coded App Security Audit

Budget required
$200 - $1,100
scanning tools, business setup
Year-1 revenue
$3,000 - $9,000/mo
3-6 audits/month at $800-2,000 each
First revenue
2-3 weeks
first paid audit after checklist is built
Payback
Under 2 weeks
first audit fee covers all setup costs

Non-technical founders are shipping real, paying apps with Cursor, Replit, Lovable, and bolt.new faster than they can learn what a Row Level Security policy is — and documented incidents (like a Supabase misconfiguration exposing 1.5 million API tokens from a single AI-built app) show the risk is real, not theoretical. A focused, fixed-scope human security review — before the founder takes real card details — is a sellable, one-off service with almost no direct competition built specifically for this buyer.

Opportunity score
70

Demand evidence is strong and current: a named, recent, widely-reported breach (Moltbook, January 2026) plus data showing 11% of indie launch URLs leak Supabase credentials gives you a concrete story to sell against, and traditional pentest/audit shops are priced and positioned for enterprise, not a solo founder with a Lovable app and 200 users. The catch is this is a specialist-hours business — you personally are the product until you build repeatable tooling or bring on other reviewers, which caps scale without a hiring or productized-scan layer.

Demand evidence5/5
Competition headroom4/5
Speed to first revenue4/5
Profitability4/5
Time investment2/5
Scalability2/5
Worth knowing

General web app security audits are priced for teams with engineering budgets ($1,500-5,000+ for a full codebase review), and traditional pentest firms rarely target the specific, narrow failure modes that AI codegen tools produce (exposed frontend Supabase keys, missing RLS, default-open API routes, unauthenticated admin panels). Positioning specifically as 'the vibe-coding security check' — using the language and incidents this exact buyer already fears — is a distinct, underserved niche versus generic 'we do pentests' shops, and it rides a wave that's actively growing as more non-technical founders launch AI-built apps.

Suits you if

  • You have real backend/security engineering experience and can actually audit auth, RLS policies, and API exposure by hand, not just run a scanner
  • You're comfortable explaining technical risk in plain language to a non-technical founder who built the app with AI tools
  • You want a fast-to-revenue consulting offer rather than a product you need to build and maintain
  • You're willing to actively participate in indie-hacker and no-code communities to find clients

Skip it if

  • Your security background is limited to running automated scanners — clients are paying for judgment on what's actually exploitable, not a tool report
  • You want passive or highly scalable income — this is bounded by your personal review hours until you hire or productize
  • You're not comfortable being the one who has to tell a founder their app has been leaking data, sometimes for months
  • You can't commit to fast turnaround — these founders are often about to launch or take payments and need results in days, not weeks

Skills: You need genuine hands-on security competence: understanding OAuth/session auth flaws, how Supabase/Firebase Row Level Security actually works and how it fails, common Stripe/webhook misconfigurations, and dependency vulnerability triage. Communicating findings clearly to a non-engineer, and prioritizing fixes by real-world exploitability rather than dumping a raw scanner output, is what separates a sellable audit from a commodity scan.

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