The problem
Most flip buyers burn time on the wrong addresses. They comp too early, before they know whether the seller is motivated, the asking price is softening, or the photos show real deferred maintenance.
What the product helps you do
- Use photo condition AI to spot listing sets that show clutter, dated finishes, damage, or obvious neglect.
- Combine price-to-value gap, days on market, and price cuts to identify owners whose expectations may be moving.
- Keep a shortlist of “screened-in” addresses before you do the heavier comp and rehab work.
How investors use it in practice
- Filter for higher-score listings in your target price band.
- Open only the top tier of candidates for detailed deal math and offer modeling.
- Use the Advisor to run quick ARV, margin, and rule-of-thumb checks before investing more time.
Hard limit
- This does not replace local comp work, contractor bids, inspection, or permit review.
- The goal is to get you “close enough to investigate,” not to tell you to skip underwriting.
Typical workflow
01
Screen
Use score, photos, price movement, and filters to narrow the field quickly.
02
Investigate
Open only the shortlisted listings for contact, notes, Advisor prompts, and deeper math.
03
Decide
Move finalists into real comps, local due diligence, and your actual offer process.
Use this workflow in your own market
Start free in one market, then expand when the workflow proves itself.
