Original data on how safe corporate side businesses really are. Based on 127+ cases analyzed through the Stealth Score 12-factor methodology.
| Factor | Avg Score | Risk Level | Most Common Gap |
|---|---|---|---|
| 1. Entity Separation | 41 | ⚠️ High | 65% operate as sole proprietorship — fully exposed |
| 2. Domain Privacy | 68 | ✅ OK | Most use WHOIS privacy — but 22% have exposed emails |
| 3. Payment Anonymity | 31 | 🔴 Critical | 58% use personal PayPal/Venmo — full name visible to every customer |
| 4. Social Media Exposure | 44 | ⚠️ High | 41% use same device for business + personal social |
| 5. Banking Separation | 28 | 🔴 Critical | 51% commingle business revenue in personal checking |
| 6. IP & Non-Compete Risk | 47 | ⚠️ High | 34% operate in adjacent industry — legal gray area |
| 7. Time Separation | 63 | ✅ OK | Most work off-hours — but 28% use company WiFi occasionally |
| 8. Communication Compartment. | 39 | ⚠️ High | 47% use same email provider — Google/Microsoft link both identities |
| 9. Physical Address Exposure | 45 | ⚠️ High | 38% have home address on at least one public document |
| 10. LinkedIn Exposure | 71 | ✅ OK | Most don't link side business to professional profile |
| 11. Tax Filing Risk | 26 | 🔴 Critical | 49% file Schedule C self-prepared — no CPA review |
| 12. Industry Overlap Risk | 44 | ⚠️ High | Tech employees with aggressive moonlighting clauses |
The Stealth Score is a proprietary 12-factor methodology developed from 14 months of firsthand experience building anonymous micro-SaaS revenue while employed. Each factor maps to a documented risk vector in corporate side-business detection.
Data sources: 127+ documented cases of corporate employees building side businesses (self-reported via the Invisible Exit member community + public case studies). Not a random population sample — self-selecting group of employed professionals actively building side income. This biases scores upward (these are people who've already taken some steps). The general population of corporate side hustlers likely scores significantly lower.
Limitations: Self-reported data. Scores are best understood as relative risk indicators within the methodology, not as absolute safety guarantees. The framework is a diagnostic tool — it identifies vectors worth addressing, not legal advice. CC BY 4.0 — cite as "Invisible Exit (2026), Stealth Score Benchmarks."
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