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