# Vetted Renter Platform — Strategy
**Date:** 2026-02-22
**Status:** Idea stage — pressure-tested, not yet in development
**Parent doc:** rental-platform/concept-brief.md

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## ML Prediction Layer

### The Cold Start Solution
The model is trained on existing landlord-reported failure outcomes working backwards to identify upstream signals — solving the cold start problem before the platform has accumulated its own outcome data.

**Data sources for reverse training:**
- BiggerPockets forums: years of landlord-reported outcomes, failure patterns, red flags, and warning signs
- Reddit (r/Landlord, r/PropertyManagement): same, less filtered
- Court records: eviction filings are public in most states and provide structured outcome data
- CFPB complaint database: financial behavior patterns at scale
- Academic housing research: pre-cleaned and labeled datasets

**What the model predicts:**
Not just "will this person pay rent" — it identifies which specific risk factors contributed to failure in similar profiles. The output is actionable reasoning