Eastern Tennessee multifamily intelligence
Multifamily
Deal Lab
A data pipeline and decision workspace that turns fragmented property listings into a ranked, explainable shortlist for deeper underwriting.
01Zillow listing extraction
02PostgreSQL history
03dbt reporting models
04Interactive underwriting
53active candidates
11markets represented
9review-tier leads
$198portfolio median PPSF
01 / Opportunity screen
Find the signal before doing the deep work.
The demo uses the nine review-tier properties from the August 2026 pipeline snapshot. Adjust the controls to explore how relative value narrows the field.
Candidate geography
Road map · click a marker
Ranked shortlist
9 matches
02 / Scenario underwriter
Pressure-test the shortlist.
Move from a market signal to a financing scenario. Assumptions are intentionally explicit so every output can be challenged.
Illustrative screening only. Verify rents, legal units, expenses, condition, financing, and operating history before making an investment decision.
Estimated cap rate—
Estimated DSCR—
Monthly cash flow—
Estimated cash needed—
03 / System design
Built as a repeatable decision pipeline.
- Extract
Python captures saved-search inventory and normalizes listing details for sales and rental comparables.
- Model
PostgreSQL preserves observation history while dbt produces tested reporting marts and benchmark logic.
- Score
An explainable 100-point model weighs relative PPSF, reductions, market time, and completeness.
- Decide
The dashboard combines filtering, geographic context, listing language, and editable underwriting assumptions.