21 lines
1.0 KiB
Markdown
21 lines
1.0 KiB
Markdown
# Vetted Renter Platform — Strategy
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**Date:** 2026-02-22
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**Status:** Idea stage — pressure-tested, not yet in development
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**Parent doc:** rental-platform/concept-brief.md
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---
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## ML Prediction Layer
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### The Cold Start Solution
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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.
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**Data sources for reverse training:**
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- BiggerPockets forums: years of landlord-reported outcomes, failure patterns, red flags, and warning signs
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- Reddit (r/Landlord, r/PropertyManagement): same, less filtered
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- Court records: eviction filings are public in most states and provide structured outcome data
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- CFPB complaint database: financial behavior patterns at scale
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- Academic housing research: pre-cleaned and labeled datasets
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**What the model predicts:**
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Not just "will this person pay rent" — it identifies which specific risk factors contributed to failure in similar profiles. The output is actionable reasoning |